Kristien Michielsen PhD Thesis_website.pdf - International Centre ...
Kristien Michielsen PhD Thesis_website.pdf - International Centre ... Kristien Michielsen PhD Thesis_website.pdf - International Centre ...
HIV PREVENTION FOR YOUNG PEOPLE IN SUB-SAHARAN AFRICA: EFFECTIVENESS OF INTERVENTIONS AND AREAS FOR IMPROVEMENT. EVIDENCE FROM RWANDA Kristien Michielsen Doctoral Thesis Submitted to the Faculty of Medicine and Health Sciences Ghent University PhD Supervisor: Prof. dr. Marleen Temmerman Department of Obstetrics and Gynaecology, Ghent University PhD Co-Supervisor: Prof. dr. Ronan Van Rossem Department of Sociology, Ghent University November 2012 i Kristein.indd 1 10/25/2012 8:36:11 PM
- Page 2 and 3: Bedankt Dominiek voor het creëren
- Page 4 and 5: iv Kristein.indd 4 10/25/2012 8:36:
- Page 6 and 7: 5. RESULTS ........................
- Page 8 and 9: LEXICON AND LIST OF ABBREVIATIONS A
- Page 10 and 11: 1. Introduction 1.1. HIV/AIDS: Hist
- Page 12 and 13: Figure 1.3: Evolution of the number
- Page 14 and 15: and interlinked sexual network that
- Page 16 and 17: This study will focus on prevention
- Page 18 and 19: inequality [83], the economic situa
- Page 20 and 21: 12 Kristein.indd 12 10/25/2012 8:36
- Page 22 and 23: 2. Objectives 2.1. General Objectiv
- Page 24 and 25: . To study determinants of young pe
- Page 26 and 27: 2.3. Presentation of Publications T
- Page 28 and 29: 20 Kristein.indd 20 10/25/2012 8:36
- Page 30 and 31: 3. Study Sites and Population As an
- Page 32 and 33: In the National Strategic Plan on H
- Page 34 and 35: and what is the deontology of a pee
- Page 36 and 37: 4. Methodology To reach the aforeme
- Page 38 and 39: in the neighbouring district of Rwa
- Page 40 and 41: iour is advisable, but complex and
- Page 42 and 43: the Society for Adolescent Medicine
- Page 44 and 45: 5. Results 5.1. Outline The results
- Page 46 and 47: 38 Kristein.indd 38 10/25/2012 8:36
- Page 48 and 49: 40 Kristein.indd 40 10/25/2012 8:36
- Page 50 and 51: 42 Kristein.indd 42 10/25/2012 8:36
HIV PREVENTION FOR YOUNG PEOPLE IN<br />
SUB-SAHARAN AFRICA: EFFECTIVENESS OF<br />
INTERVENTIONS AND AREAS FOR IMPROVEMENT.<br />
EVIDENCE FROM RWANDA<br />
<strong>Kristien</strong> <strong>Michielsen</strong><br />
Doctoral <strong>Thesis</strong> Submitted to the Faculty of Medicine and Health Sciences<br />
Ghent University<br />
<strong>PhD</strong> Supervisor: Prof. dr. Marleen Temmerman<br />
Department of Obstetrics and Gynaecology, Ghent University<br />
<strong>PhD</strong> Co-Supervisor: Prof. dr. Ronan Van Rossem<br />
Department of Sociology, Ghent University<br />
November 2012<br />
i<br />
Kristein.indd 1 10/25/2012 8:36:11 PM
Bedankt<br />
Dominiek<br />
voor het creëren van de omstandigheden<br />
Juliette<br />
voor de dagelijkse portie relativering (en kussengevechten)<br />
HIV Prevention for Young People in Sub-Saharan Africa: Effectiveness of Interventions<br />
and Areas for Improvement. Evidence from Rwanda.<br />
<strong>Kristien</strong> <strong>Michielsen</strong><br />
Doctoral thesis submitted to the Faculty of Medicine and Health Sciences, Ghent<br />
University, Belgium.<br />
2012<br />
This title has been published in the series “ICRH Monographs.”<br />
ISBN 9789078128250<br />
<strong>International</strong> <strong>Centre</strong> for Reproductive Health (ICRH)<br />
Ghent University<br />
De Pintelaan 185P3<br />
B-9000 Ghent (Belgium)<br />
www.icrh.org<br />
ii<br />
Kristein.indd 2 10/25/2012 8:36:11 PM
Supervisor: Prof. dr. Marleen Temmerman<br />
Department of Obstetrics and Gynaecology<br />
Faculty of Medicine and Health Sciences<br />
Ghent University, Belgium<br />
Co-supervisor: Prof. dr. Ronan Van Rossem<br />
Department of Sociology<br />
Faculty of Political and Social Sciences<br />
Ghent University, Belgium<br />
Members of the jury: Prof. dr. Steven Callens<br />
Department of Internal Medicine,<br />
Ghent University, Belgium<br />
dr. Olivier Degomme<br />
<strong>International</strong> <strong>Centre</strong> for Reproductive Health,<br />
Department of Obstetrics and Gynaecology,<br />
Ghent University, Belgium<br />
Prof. dr. Lea Maes<br />
Department of Public Health,<br />
Ghent University, Belgium<br />
Prof. dr. Dominique Meekers<br />
Department of Global Health Systems and Development,<br />
Tulane University<br />
New Orleans, USA<br />
dr. Christiana Nöstlinger<br />
Institute for Tropical Medicine, Antwerp<br />
Prof. dr. Geert Van Hove<br />
Department of Special Education,<br />
Ghent University, Belgium<br />
Prof. dr. Steven Weyers<br />
Department of Obstetrics and Gynaecology,<br />
Ghent University, Belgium<br />
Chairperson of the jury: Prof. dr. Johan Vande Walle<br />
Department of Pediatrics and Medical Genetics,<br />
Ghent University, Belgium<br />
iii<br />
Kristein.indd 3 10/25/2012 8:36:11 PM
iv<br />
Kristein.indd 4 10/25/2012 8:36:12 PM
TABLE OF CONTENTS<br />
LIST OF FIGURES ................................................................................................................ vii<br />
LEXICON AND LIST OF ABBREVIATIONS .................................................................... viii<br />
1. INTRODUCTION ............................................................................................................. 1<br />
1.1. HIV/AIDS: History, Transmision and Stages ............................................................................ 2<br />
1.2. The HIV Epidemic ................................................................................................................................ 3<br />
1.2.1. Worldwide ................................................................................................................................. 3<br />
1.2.2. Sub-Saharan Africa ................................................................................................................ 4<br />
1.3. HIV in Young People in Sub-Saharan Africa ............................................................................. 7<br />
1.3.1. Focus on Young People ......................................................................................................... 7<br />
1.3.2. Being Young in Sub-Saharan Africa ................................................................................ 8<br />
1.3.3. HIV Prevention Interventions for Young People ....................................................... 9<br />
1.4. Conclusion ............................................................................................................................................. 11<br />
2. OBJECTIVES .................................................................................................................... 13<br />
2.1. General Objective ................................................................................................................................ 14<br />
14<br />
2.3. Presentation of Publications ........................................................................................................... 18<br />
3. STUDY SITES AND POPULATION .............................................................................. 21<br />
3.1. Study Setting: The District of Bugesera in the East Province of Rwanda .................... 22<br />
3.1.1. Young People ............................................................................................................................ 23<br />
3.1.2. School Life in Rwanda .......................................................................................................... 24<br />
3.2. The Intervention: The Peer Education Intervention of Rwandan Red Cross ............. 25<br />
3.2.1. Short History ............................................................................................................................ 25<br />
3.2.2. Objectives and Design .......................................................................................................... 25<br />
4. METHODOLOGY ............................................................................................................<br />
4.1. Study Design ..........................................................................................................................................<br />
4.1.1. Sytematic Literature Reviews: Objective 1, 3.b and 3.c ..........................................<br />
(Paper 1: Meta-Analysis, Paper 5: Out-of-school Youth, and<br />
Paper 6: Theory Review)<br />
4.1.2. Qualitative Research: Objectives 2 and 3.a (Paper 2: Rwandan .........................<br />
Intervention and Paper 4: Self -selection)<br />
4.1.3. Qualitative Study: Objective 3.b (Paper 4: Mailbox Technique) .........................<br />
4.2. Research Ethics .....................................................................................................................................<br />
4.2.1. Ethical Approval ......................................................................................................................<br />
<br />
4.2.3. Exemption for Parental Consent ......................................................................................<br />
v<br />
Kristein.indd 5 10/25/2012 8:36:12 PM<br />
27<br />
27<br />
27<br />
29<br />
31<br />
33<br />
33<br />
33<br />
33
5. RESULTS ....................................................................................................................... 35<br />
5.1. Outline .............................................................................................................................................. 36<br />
5.2. To Assess the Overall Effectiveness of HIV Prevention Interventions .................. 36<br />
for Young People in Sub-Saharan Africa (Objective 1)<br />
5.3. To Assess the Effectiveness of a Peer-led School-based HIV Prevention ............ 50<br />
Intervention in Rwanda (Objective 2)<br />
5.4. To Identify and Study Possible Reasons for the Observed Limited ....................... 72<br />
Effectiveness of HIV Prevention Interventions for Young People in<br />
Sub-Saharan Africa (Objective 3)<br />
5.4.1. To Assess Young People’s Participation in HIV Prevention ........................ 72<br />
Interventions (Objective 3.a)<br />
5.4.2. To Study The Vulnerability of Young People for Poor Sexual and ............ 90<br />
Reproductive Health (Objective 3.b)<br />
5.4.3. To Assess the Theoretical Assumptions used to Change Sexual ............... 123<br />
Behaviour in HIV Prevention Interventions for Young People<br />
in Sub-Saharan Africa (Objective 3.c)<br />
6. DISCUSSION ................................................................................................................<br />
6.1. Failure to Demonstrate the Effectiveness of HIV Prevention .....................................<br />
Interventions<br />
6.2. Reasons for the Observed Limited Effectiveness of HIV Prevention .......................<br />
Interventions<br />
6.3. Limitations .......................................................................................................................................<br />
6.4. Conclusions, Recommendations and Directions for Further Resaerch .................<br />
SUMMARY ......................................................................................................................... 169<br />
SAMENVATTING .............................................................................................................. 173<br />
REFERENCES .................................................................................................................... 178<br />
ANNEX ................................................................................................................................<br />
Paper 7: Kenyan Intervention ..............................................................................................................<br />
Paper 8: Globalisation and Education ..............................................................................................<br />
vi<br />
Kristein.indd 6 10/25/2012 8:36:12 PM<br />
143<br />
144<br />
146<br />
160<br />
162<br />
195<br />
195<br />
205
LIST OF FIGURES<br />
Figure 1.1: Evolution of HIV Infection [23] .........................................................................................<br />
Figure 1.2: Reproduction of the HIV Virus [24] ................................................................................<br />
Figure 1.3: Evolution of the number of people living with HIV (left) and of HIV ...............<br />
incidence (bleu, right) and AIDS-related deaths (grey, right) [25]<br />
Figure 1.4: Number of people living with HIV by region [27] ....................................................<br />
Figure 1.5: Evolution of HIV prevalence in sub-Saharan Africa among the adult ..............<br />
population (15-49 years), 1990-2009 [26]<br />
Figure 1.6: Aspects of the HIV epidemic addressed in this doctoral research ....................<br />
Figure 2.1: Overview of doctoral research objectives ....................................................................<br />
Figure 3.1: Map of Rwanda (left) and the district of Bugesera in the East ...........................<br />
Province of Rwanda (right)<br />
Figure 3.2: Rwandan national (red, middle), urban (blue, upper), and rural ......................<br />
(green, lower) HIV prevalence curves [105]<br />
Figure 3.3: <br />
Figure 4.1: Quality assessment of articles included in paper 6 .................................................<br />
Figure 6.1: Theoretical intervention sequence of HIV prevention interventions for .......<br />
young people in sub-Saharan Africa<br />
Figure 6.2: Practical interpretation of intervention sequence ...................................................<br />
Figure 6.3: <br />
this doctoral research study<br />
vii<br />
Kristein.indd 7 10/25/2012 8:36:12 PM<br />
3<br />
3<br />
4<br />
4<br />
5<br />
8<br />
17<br />
22<br />
23<br />
23<br />
29<br />
146<br />
147<br />
151
LEXICON AND LIST OF ABBREVIATIONS<br />
Adolescents People aged 10 to 19 years<br />
<br />
BSS Behavioural Surveillance Survey<br />
Children People aged under 18 years<br />
CSE Comprehensive Sexuality Education<br />
CNLS Comité Nationale de Lutte contre le Sida / National AIDS Commission<br />
DHS Demographic and Health Survey<br />
<br />
HSV-2 Herpes Simplex Virus type 2<br />
ICRH <strong>International</strong> <strong>Centre</strong> for Reproductive Health<br />
IPPF <strong>International</strong> Planned Parenthood Federation<br />
RRC Rwandan Red Cross<br />
SRH(R) Sexual and Reproductive Health (and Rights)<br />
(c)RCT (clustered) Randomized Controlled Trials<br />
STI Sexually Transmitted Infection<br />
UNAIDS Joint United Nations Programme on HIV/AIDS<br />
UNDP United Nations Development Programme<br />
UNFPA United Nations Population Fund<br />
UNGASS United Nations General Assembly Special Session on HIV and AIDS<br />
UNICEF United Nations Children’s Fund<br />
<br />
WHO World Health Organization<br />
Young people People aged 10 to 24 years<br />
Youth People aged 15 to 24 years<br />
viii<br />
Kristein.indd 8 10/25/2012 8:36:12 PM
INTRODUCTION<br />
1<br />
Kristein.indd 1 10/25/2012 8:36:12 PM
1. Introduction<br />
1.1. HIV/AIDS: History, Transmission and Stages<br />
The HIV epidemic exploded in the early eighties. In the United States of America an<br />
increasing number of persons presented with an aggressive form of the rare skin cancer<br />
Kaposi Sarcoma [1]. Around the same period physicians noticed a stark increase in a<br />
severe lung infection Pneumocystis carinii pneumonia [2]. While these diseases where<br />
initially mainly observed in homosexual men, it rapidly became clear that also other<br />
population groups were affected. In 1982, while reports of similar diseases came from<br />
ciency<br />
Syndrome. Two years later, in 1984, French and American scientists succeeded in<br />
isolating a virus that was thought to be the cause of AIDS [3, 4], which would be named<br />
<br />
<br />
receiving a blood transfusion from an infected source, the chance of being infected is<br />
90% [5]. Second, HIV can be transmitted through needles: intravenous needles use has a<br />
0.7% [95% CI 0-10.2] chance of transmitting HIV [6-9], while needle sticks through the<br />
skin have a 0.3% chance [10]. Third, HIV can be transmitted from mother to child during<br />
pregnancy, childbirth and breastfeeding. Without treatment for the HIV-positive mother,<br />
the chance of transmitting the virus to her child is 25% to 40% [11, 12]. Finally, HIV can<br />
be transmitted through sexual intercourse. The risk of being infected with HIV through<br />
sexual intercourse depends on the type of sexual contact. It ranges from an estimated<br />
0.005% (man being fellated) [13] over 0.1% (receptive penile-vaginal intercourse)<br />
[14] to 1.7% [95% CI 0.3-8.9] (receptive anal intercourse) [6, 15]. Worldwide, the most<br />
common transmission route is heterosexual sexual intercourse [16-18]: it is estimated<br />
to account for about 70% of HIV infections [19, 20]. In some nations or regions, other<br />
transmission routes dominate, e.g. injecting drug use in Russia [21] or homosexual sexual<br />
intercourse among Belgians [22]. HIV infection can be prevented by screening donor<br />
blood for HIV, providing prophylaxis treatment to HIV positive pregnant women and<br />
their newborn babies, treating HIV positive persons 1 , making clean needles and syringes<br />
available, circumcising men, and having protected sexual intercourse. Currently, there is<br />
no vaccine or cure for HIV/AIDS.<br />
HIV infection has three main stages: acute infection, the latent phase, and AIDS (Figure<br />
1.1). Upon infection, when entering the blood stream, HIV rapidly multiplies. It attaches<br />
itself to CD4-cells, white blood cells playing a central role in the body’s immune response,<br />
and uses these cells to reproduce itself (Figure 1.2). This phase of acute infection is characterized<br />
by a rapid increase in HIV viral load and a stark decrease in CD4-cells. HIV viral<br />
load reaches its peak around six weeks after infection.<br />
1 ing<br />
HIV positive people is an effective prevention strategy.<br />
2<br />
Kristein.indd 2 10/25/2012 8:36:12 PM
Then the immune systems responds and reduces the number of viral particles in the<br />
blood. The infection enters into the latent phase, which can last between two and twenty<br />
years. Within this phase, we distinguish between asymptomatic and symptomatic HIV infection.<br />
The asymptomatic phase lasts on average ten years in which the infected person<br />
is free of major symptoms. In the symptomatic phase, symptoms start to appear because<br />
of the weakened immune system. Without treatment, gradually, the number of CD4-cells<br />
reduces. When it reaches the critical level of 200 cells per µL, the immune system is so<br />
weak that a number of opportunistic infections begin to show. To be diagnosed with<br />
AIDS, a person needs to be diagnosed with one or more severe opportunistic infections<br />
or cancers (as Pneumocystis carinii pneumonia, or Kaposi sarcoma).<br />
Figure 1.1: Evolution of HIV infection [23] Figure 1.2: Reproduction of the HIV virus [24]<br />
1.2 The HIV Epidemic<br />
1.2.1. Worldwide<br />
<br />
increased at a staggering rate. The peak of new infections occurred in the mid-nineties<br />
with 3.5 million [3.2 million – 3.8 million] new infections. Since then, the number of newly<br />
infected people has been decreasing slowly. Since the peak in HIV deaths in 2004 (2.2<br />
million [1.9 million – 2.6 million]), due to the widespread introduction of anti-retroviral<br />
treatment, also the number of AIDS-related deaths started to decrease (Figure 1.3).<br />
The continued large number of infections and a longer life expectancy of HIV-positive<br />
people, has resulted in an ever increasing number of HIV-positive persons worldwide. Recent<br />
UNAIDS data show that an estimated 34 million people [31.6 million–35.2 million]<br />
were living with HIV worldwide in 2010. This means that about 1% of the adult world<br />
population is infected with the virus. In 2010, an estimated 1.8 million [1.6 million – 1.9<br />
million] people died of an AIDS-related cause and 2.7 million [2.4 million – 2.9 million]<br />
new infections occurred [25].<br />
3<br />
Kristein.indd 3 10/25/2012 8:36:12 PM
Figure 1.3: Evolution of the number of people living with HIV (left) and of HIV incidence<br />
(blue, right) and AIDS-related deaths (grey, right) [25]<br />
1.2.2. Sub-Saharan Africa<br />
Figure 1.4 and Figure 1.5 show that one region is particularly touched by the HIV epidemic.<br />
In 2010, 70% of the new HIV infections occurred in sub-Saharan Africa. This part<br />
of the world hosts two thirds of all HIV-positive people, while it is home to only 12% of<br />
<br />
e.g. Mauritania with an HIV prevalence of the adult population (15 to 49 years) of 0.7%<br />
[0.6%-0.9%], Cameroon with 5.3% [4.9%-5.8%] and Swaziland with 25.9% [24.9%-<br />
27.0%] [26]. While these data might be subject to reporting or measurement biases, the<br />
large differences between the countries indicate the existence of important differences<br />
within the sub-Saharan African region. Not neglecting this great variety, we cannot ignore<br />
that one part is highly affected: East and Southern Africa. Most countries in this subregion<br />
have an adult HIV prevalence of over 5%, some even exceed 20%. South Africa has<br />
more people with HIV than any other country in the world (5.6 million), while Botswana,<br />
Swaziland and Lesotho have the highest prevalence rates in the world.<br />
Figure 1.4: Number of people living with HIV by region [27]<br />
4<br />
Kristein.indd 4 10/25/2012 8:36:13 PM
There is no straightforward reason that explains why HIV prevalence is so high in this<br />
region. A combination of factors lies at the base. We touch on a non-exhaustive number of<br />
possible reasons, for the purpose of illustrating the complexity of the problem: interact-<br />
<br />
First, there are biological factors that account for part of this discrepancy. Communities<br />
with high prevalence of male circumcision are generally less affected by the HIV pandemic<br />
[31-34]. Also, the HIV subtype seems to play a role. Each HIV subtype has its preferred<br />
way of transmission. HIV-1 subtype C is most dominant in Southern Africa and fuels<br />
heterosexual epidemics, while subtype B, most prevalent in Europe and North America, is<br />
more easily transmitted through homosexual contact and intravenous drug use [35].<br />
Figure 1.5: Evolution of HIV prevalence in sub-Saharan Africa among the adult population<br />
(15-49 years), 1990-2009 [26]<br />
Second, behavioural factors, such as condom use and the type of sexual partnerships,<br />
partly explain this difference. In East and Southern Africa there is a high prevalence of<br />
concurrent sexual partnerships [36-38]. Such overlapping relationships create a complex<br />
5<br />
Kristein.indd 5 10/25/2012 8:36:13 PM
and interlinked sexual network that, given the high chances of HIV transmission in the<br />
<br />
1.1), serves as a highway for HIV transmission [39-42]. Especially in Southern Africa<br />
<br />
between self-reported symptoms of sexually transmitted infections and having had a<br />
partner who engaged in concurrency. Helleringer and Kohler [44] mapped the sexual<br />
network of the general population of young adults on Likoma Island in Malawi: even<br />
though the number of sexual partners was not high (on average 2.6 for men and 2.2 for<br />
women in the last three years), about half of the respondents were connected to each<br />
cantly<br />
higher than in the smaller networks. In a survey among 3,500 young people in<br />
the Cape Town area in South-Africa, Mah [45] found that 13% reported a concurrent<br />
partnership during their last sexual relationship; men and so-called Black youth reported<br />
higher levels. Also in South Africa, in a household survey including 1,144 respondents<br />
between the ages of 15 and 24 years, 38% of sexually active men and 19% of sexually<br />
active women reported having had an overlapping second partner during their last<br />
relation [46]. In the same study, 40% of women said their partner had another partner.<br />
Several qualitative studies have shown that people categorize their relationships as<br />
‘main’/‘regular’/‘primary’ and ‘nonprimary’/‘other’ [47-50].<br />
<br />
<br />
nature. For example, poverty can been seen as an important factor [52-54]; it can lead<br />
to a lack of health care and treatment for HIV positive persons, but also to transactional<br />
sex – i.e. sex in exchange for money and/or goods – during which condom negotiation is<br />
demic,<br />
since they had access to paid sex and were mobile [55]. Another contextual factor<br />
is education. While one study show that HIV risk decreases with 7% for each additional<br />
year of educational attainment [56], another claims that this impact differs regionally,<br />
depending on the level of globalization [57]. Another example of social factors are laws<br />
discriminating against men who have sex with men, pushing them into the margins, and<br />
hence increasing their risk for unprotected sex. This shows that political leadership is essential<br />
in the response to HIV. While Uganda’s initial response to the epidemic, focussing<br />
on each individual’s responsibility to combat the epidemic, is put forward as a success<br />
story, South Africa’s leaders have received criticism for their HIV denialism. Socio-cultural<br />
issues, like gender inequality and taboos surrounding sexuality, are equally important.<br />
Only recently more positive news was reported. The latest UNAIDS report indicated that<br />
in 22 sub-Saharan African countries, HIV incidence declined by more than 25% between<br />
2001 and 2009, including in some of the world’s largest epidemics like Ethiopia, Nigeria,<br />
South Africa, Zambia and Zimbabwe. But, even though the epidemic seems to be leveling<br />
off, with an HIV incidence of 1.9 million [1.7 million–2.1 million], it remains at an unacceptably<br />
high level. [25]<br />
6<br />
Kristein.indd 6 10/25/2012 8:36:13 PM
1.3. HIV in Young People in Sub-Saharan Africa<br />
“Nothing should be more important than a major focus on young people” [58]<br />
1.3.1. Focus on Young People<br />
The changes in HIV incidence are most marked among young people. HIV incidence<br />
declined among young people aged 15 to 24 years in 16 of the 21 countries most affected<br />
by HIV. These declines have occurred amid signs of changes in sexual behaviour. The<br />
percentage of young men with multiple partners in the past 12 months decreased sig-<br />
<br />
of 14 countries. Among young men who had multiple partners in the last 12 months, the<br />
<br />
<br />
<br />
<br />
in 7 of 16 countries, respectively. [59, 60]<br />
Nevertheless, HIV incidence in young people aged 15 to 24 years remains worrying. Half<br />
of the new HIV infections occurs in this age group. Worldwide, on average, over 2,500<br />
young people get infected with HIV every day; almost 80% of these infections takes place<br />
in sub-Saharan Africa, resulting in a regional HIV prevalence of 1.4% [1.1%-1.8%] in<br />
young men and 3.3% [2.7%-4.2%] in young women [25]. Changing sexual behaviour in<br />
this group is crucial in tackling the pandemic [58, 61].<br />
In many sub-Saharan African countries, young people aged 15 to 24 years make up over<br />
one third of the population. This means that in this region a large number of people are<br />
about to start their sexual lives or have just started it [62]. These young people are particularly<br />
vulnerable to HIV infection and poor sexual and reproductive health; due to the<br />
combination of universal risk-taking behaviours that emerge during adolescence, such<br />
as alcohol consumption, sexual initiation, and several individual, social and structural<br />
factors, including limited knowledge and skills with regard to sexual and reproductive<br />
health issues, poverty and gender imbalance [63]. The World Health Organization (WHO)<br />
estimated that nearly two thirds of premature deaths and one third of the total disease<br />
burden in adults are associated with conditions or behaviours that began in youth, such<br />
as drinking, unprotected sex or exposure to violence [64].<br />
Girls and young women are most vulnerable in this respect. They are more prone to HIV<br />
infection, due to several factors, including biological susceptibility to HIV, economic dependence<br />
on men, sexual relationships with older men and less access to education. The<br />
<br />
number: globally, young women make up more than 60% of all young people living with<br />
HIV; in sub-Saharan Africa their share jumps to 72% [65].<br />
7<br />
Kristein.indd 7 10/25/2012 8:36:13 PM
This study will focus on prevention of sexual transmission of HIV in young people in<br />
sub-Saharan Africa. Figure 1.6 indicates that focusing on prevention of sexual transmission<br />
of HIV among young people is only one of the many ways of managing the HIV/AIDS<br />
epidemic.<br />
Treatment of HIV<br />
positive persons<br />
Care and support<br />
for people infected<br />
with and affected<br />
by HIV<br />
Prevention of sexual transmission<br />
Biomedical ( male<br />
circumcision,<br />
microbicides, treatment<br />
as prevention,<br />
General population Young people<br />
Ways of managing the HIV epidemic<br />
Influence policy<br />
Ways of preventing HIV infection<br />
Prevention through blood (blood<br />
transfusion and needle sharing)<br />
Figure 1.6: Aspects of the HIV epidemic addressed in this doctoral research<br />
1.3.2. Being Young in Sub-Saharan Africa<br />
Young people in sub-Saharan Africa live in a complex world, characterized by rapid<br />
social change. Factors as increased school enrollment, globalization and increasing trade,<br />
democratization of political systems, and instantaneous global communication expose<br />
8<br />
Reduce the impact<br />
of HIV on society<br />
(education sector,<br />
health sector,<br />
<br />
Ways of preventing sexual transmission of HIV<br />
Behavioural (increase<br />
condom use, reduce<br />
number of sex partners,<br />
increase age of sexual<br />
debut, reduce<br />
concurrent<br />
partnerships, reducing<br />
the age gap between<br />
partners, HIV<br />
)<br />
Structural (education,<br />
<br />
Target groups of HIV prevention through sexual transmission<br />
Men who have sex<br />
with men<br />
Prevention of HIV<br />
Prevention of vertical transmission<br />
(mother-to-child transmission)<br />
Combination prevention<br />
Sex workers Mobile populations<br />
Kristein.indd 8 10/25/2012 8:36:13 PM
young people to information, challenges, and possibilities that threaten their customs<br />
and values [66]. Furthermore, with an increase in the age of marriage and schooling, a<br />
distinct period of adolescence was created in African societies; a period characterized by<br />
boy-girl friendships, likely to include sexual relationships [67-70].<br />
For many young people in developing countries, this transitory life stage is further<br />
complicated by the clashes between the many forces of westernization, and the stricter<br />
traditional values of their societies [69]. The relatively new life phase of adolescence and<br />
<br />
<br />
concept of companionate heterosexual relations before and during marriage, as well as<br />
increased access to pornographic movies, is of great importance in shaping young people’s<br />
ideas and behaviours [68, 71-74]. As Maticka-Tyndale [75] puts it, young people are<br />
confronted with “a complex mix of traditional beliefs, norms and expectations, western<br />
values, ideas and modes of interaction, and a changing set of social expectations”. Luke<br />
[76] adds that “the cultural ideals for adolescent behaviour are being replaced by peers’<br />
concerns for status and material goods and pressures to begin sexual relations”. Strong<br />
gender roles, norms and values concerning relationships coincide with differing religious<br />
and western views.<br />
The disintegration of traditional methods of sex education, such as rites of passage and<br />
elder’s narratives, and the lack of comprehensive sexuality education in school has created<br />
a void of knowledge on sexual and reproductive health matters for adolescents. On<br />
<br />
or incomplete [76-78] and peer pressure and norms can be counteractive [79, 80]. On<br />
the other hand, many governments, non-governmental organizations and international<br />
organizations are investing in HIV prevention interventions for young people.<br />
1.3.3. HIV Prevention Interventions for Young People<br />
In order to prevent sexual transmission of HIV, a number of strategies can be adopted:<br />
biomedical prevention (e.g. male circumcision, microbicides or treatment as prevention),<br />
individual behaviour change strategies and structural interventions. Our study<br />
focuses on the latter two. Behaviour change interventions promote actions as: abstinence<br />
<br />
the number of sexual partners. Additionally, they aim to increase knowledge, change<br />
attitudes, improve access to services and to reduce stigma or address other mediators<br />
<br />
attempt to motivate behavioural change within individuals and social units by use of a<br />
range of educational, motivational, peer-group, skills-building approaches, and community<br />
normative approaches”. Structural approaches to HIV prevention, on their turn, “seek<br />
to change social, economic, political, or environmental factors determining HIV risk and<br />
vulnerability” [51]. In practice, structural interventions might address factors as gender<br />
9<br />
Kristein.indd 9 10/25/2012 8:36:13 PM
inequality [83], the economic situation of young people [84] or stimulating young people<br />
to go to school [85].<br />
Over a decade ago, Merson [86] concluded a review on the effectiveness of HIV prevention<br />
interventions by stating that there is a dearth of evaluated prevention interventions<br />
for young people. Since, the number of evaluations and literature reviews is increasing.<br />
tings,<br />
such as schools [87, 88], or with particular tools like mass media [89]. Others have<br />
<br />
[86, 91-95], and even others have focused on types of outcomes, e.g. including only evaluations<br />
that report on biological outcomes [96].<br />
Gallant [87] studied the effectiveness of 11 school-based HIV prevention interventions<br />
in sub-Saharan Africa. Studies that assessed the effectiveness on HIV knowledge and attitudes<br />
reported positive results, respectively in 10 of 11 and 7 of 7 studies. Sexual debut<br />
was delayed in only 1 of 3 studies, and only for a subgroup of the population. Condom use<br />
increased in 1 of 2 studies. Some years later Paul-Ebhohimhen [88] published a review<br />
on the same topic: knowledge (12 of 13 measures) and attitudes (11/13) were changed<br />
in almost all studies measuring these items. Intention to use a condom, was only changed<br />
in 1 of 5 studies, and also condom use and abstinence increased in 1 of 5 studies. Bertrand<br />
[89] measured effectiveness of HIV prevention interventions for young people using<br />
media worldwide. Of the 9 studies reporting data on knowledge of HIV transmission<br />
and prevention, 4 measured an increase. As for sexual behaviour, abstinence increased in<br />
2 of 6 interventions, the number of partners reduced in 1 of 5 studies and 5 of 12 reported<br />
an increase in condom use.<br />
Speizer [91], Magnussen [93] and Kirby [92] reviewed the effectiveness of HIV prevention<br />
and reproductive health interventions for young people in developing countries<br />
worldwide. The studies demonstrated relatively little effectiveness on sexual behaviour<br />
outcomes: for most indicators only one fourth to one third showed positive changes. Ross<br />
[96] assessed the impact of behavioural interventions on HIV incidence using random-<br />
<br />
incidence.<br />
Three common messages dominate these reviews. Firstly, there is a paucity of evaluated<br />
<br />
of sub-Saharan Africa. Secondly, the quality of evaluation designs is relatively low, hence<br />
the level of evidence is questionable. Thirdly, the current evidence paints a mixed picture:<br />
while interventions generally succeed in increasing knowledge and, to a lesser extent,<br />
changing attitudes, the effectiveness on self-reported behaviour is more ambiguous and<br />
effectiveness to reduce HIV incidence has not been shown. Given the focus of these reviews<br />
(thematically, geographically or methodologically), none of these reviews focused<br />
<br />
10<br />
Kristein.indd 10 10/25/2012 8:36:13 PM
1.4. Conclusion<br />
In the past three decades HIV has had devastating effects on people’s lives. Especially<br />
young people in sub-Saharan Africa remain at the centre of the epidemic. Recently the<br />
ing<br />
visible in surveillance studies on national levels. However, in order to reverse the<br />
epidemic, a continuous focus on HIV prevention in young people is essential. Literature<br />
reviews on aspects of HIV prevention interventions for young people (e.g. media<br />
<br />
interventions and suggest limited effectiveness of these interventions in changing young<br />
people’s sexual behaviour and HIV incidence.<br />
11<br />
Kristein.indd 11 10/25/2012 8:36:13 PM
12<br />
Kristein.indd 12 10/25/2012 8:36:13 PM
13<br />
OBJECTIVES<br />
Kristein.indd 13 10/25/2012 8:36:13 PM
2. Objectives<br />
2.1. General Objective<br />
Given that young people remain at the centre of the HIV epidemic, the general objective<br />
of this study was to improve the effectiveness of HIV prevention interventions for young<br />
people in sub-Saharan Africa.<br />
<br />
1. To assess the overall effectiveness of HIV prevention interventions for<br />
young people in sub-Saharan Africa<br />
Research question: what is the overall effectiveness of HIV prevention<br />
interventions in changing sexual behaviour of young people in sub-Saharan<br />
Africa?<br />
Literature reviews on aspects of HIV prevention interventions for young people<br />
(e.g. media interventions, school-based interventions) suggest a limited<br />
effectiveness of these interventions in changing sexual behaviour and<br />
reducing HIV incidence. However, a literature review and meta-analysis on the<br />
<br />
young people in sub-Saharan Africa, that allows drawing overall conclusions on<br />
their effectiveness, was missing. Studying evaluations of HIV prevention<br />
interventions for young people also gives insights in potential reasons for their<br />
success/failure.<br />
2. To assess the effectiveness of a peer-led school-based HIV prevention<br />
intervention in Rwanda<br />
Research question: What is the effectiveness of a peer-led HIV prevention<br />
intervention for young people in Rwanda?<br />
Peer education is a popular approach in HIV prevention for young people. It<br />
makes use of existing social processes, and actively involves young people in<br />
the intervention [97, 98]. In Rwanda, peer education has been adopted as a<br />
strategy to prevent HIV infection among in-school youth [99], but has not yet<br />
be thoroughly evaluated.<br />
To get a better understanding of how HIV prevention interventions for young<br />
people in sub-Saharan Africa are developed, implemented and evaluated, an<br />
evaluation of a peer-led intervention was set up. Besides contributing to the<br />
<br />
HIV prevention interventions and gain insights in the conditions for their<br />
success/failure.<br />
14<br />
Kristein.indd 14 10/25/2012 8:36:13 PM
Additionally, we participated in the evaluation of a peer-led sports-based HIV<br />
prevention intervention in Kenya, which can be found in annex.<br />
3. To identify and study possible reasons for the observed limited<br />
effectiveness of HIV prevention interventions for young people in<br />
sub-Saharan Africa<br />
Results from the previous objectives indicated a limited effectiveness of HIV<br />
prevention interventions on young people’s sexual behaviour and HIV<br />
<br />
reasons for this observed lack of effectiveness. Firstly, interventions might<br />
<br />
intervention. Secondly, it could be that HIV prevention interventions do not<br />
address the right topics to make young people change their sexual behaviour.<br />
Most HIV prevention interventions talk about ways of transmission and<br />
prevention of HIV, in order to make young people change their behaviour.<br />
But it is likely that sexual behaviour is based on more than knowledge on and<br />
attitudes towards HIV. Therefore, it is important to understand how young<br />
people think about sexuality and relationships and to study factors that<br />
determine their vulnerability to HIV. Thirdly, the observed limited<br />
<br />
reduction interventions, on how to change young people’s sexual behaviour.<br />
Finally, many HIV prevention interventions for young people have to deal with<br />
<br />
<br />
study.<br />
a. To assess young people’s participation in HIV prevention interventions<br />
Research question: To what extent do young people participate in a<br />
peer-led school-based HIV prevention intervention in Rwanda and what is<br />
<br />
Participation in most HIV prevention interventions is voluntary. Several<br />
studies have shown that young people with high exposure to the<br />
intervention are more likely to change their behaviour. However, these<br />
<br />
would provide more insight in the mechanisms of participation and would<br />
allow designing interventions that are attractive to all young people. Using<br />
data from the evaluation study of the peer-led school-based intervention in<br />
Rwanda, we analyzed participation in the intervention and developed<br />
<br />
15<br />
Kristein.indd 15 10/25/2012 8:36:13 PM
. To study determinants of young people’s vulnerability for HIV infection<br />
Research question: What factors contribute to the vulnerability of young<br />
people to HIV infection?<br />
Sexual intercourse is the main transmission route for HIV. However, this does<br />
<br />
behaviour. In order to develop effective interventions that succeed in changing<br />
sexual risk behaviour of young people, we should be aware of the important<br />
<br />
structural level, using a qualitative technique (the mailbox technique) and a<br />
systematic literature review.<br />
c. To assess the theoretical assumptions used to change behaviour in HIV<br />
prevention interventions for young people in sub-Saharan Africa<br />
Research question: On which theoretical assumptions are HIV prevention<br />
interventions for young people in sub-Saharan Africa based?<br />
In setting up and implementing interventions, programme planners - explicitly<br />
or implicitly - make assumptions on how sexual behaviour can be changed.<br />
Using a systematic literature review, we will study the assumptions used in HIV<br />
prevention interventions for young people in sub-Saharan Africa, identify their<br />
strengths and weaknesses and analyze if theory-based interventions are more<br />
effective than non-theory-based interventions.<br />
4. To formulate recommendations to improve the effectiveness of HIV<br />
prevention for young people<br />
16<br />
Kristein.indd 16 10/25/2012 8:36:13 PM
Figure 2.1: Overview of doctoral research objectives<br />
17<br />
1. Assess the overall<br />
effectiveness of HIV<br />
prevention interventions<br />
(paper 1)<br />
2. Assess the effectiveness of<br />
a peer-led school-based<br />
HIV prevention<br />
intervention in Rwanda<br />
(paper 2)<br />
Observed<br />
limited<br />
effectiveness<br />
3. Identify and study possible reasons for<br />
observed limited effectiveness<br />
a. participation in intervention (paper 3)<br />
b. intervention content: determinants of<br />
vulnerability (papers 4, 5)<br />
c. intervention theoretical assumptions<br />
(paper 6)<br />
Identify other reasons<br />
4. Formulate recommendations<br />
to improve the effectiveness<br />
of HIV prevention<br />
interventions for young<br />
people in sub-Saharan Africa<br />
Kristein.indd 17 10/25/2012 8:36:14 PM
2.3. Presentation of Publications<br />
This thesis is based on a number of papers that have been published or are under review<br />
in international peer-reviewed journals. The manuscripts are presented in full in the<br />
Results section (primary papers) or in annex (secondary papers):<br />
Primary papers:<br />
1. <strong>Michielsen</strong> K., Chersich MF., Luchters S., De Koker P., Van Rossem R., Temmerman M.<br />
(2010). Effectiveness of HIV prevention for youth in sub-Saharan Africa: systematic re<br />
view and meta-analysis of randomized and nonrandomized trials. AIDS 24(8):1193–<br />
202. Type: A1, IF: 6.348 (further referred to as “Paper 1: meta-analysis”)<br />
2. <strong>Michielsen</strong> K., Chersich M., Luchters S., Van Rossem R., Temmerman M. (2010).<br />
Concurrency and the limited effectiveness of behavioural interventions on sexual risk<br />
behaviour of youth in sub- Saharan Africa. AIDS 24(13):2140-2. Type: A1<br />
(correspondence), IF: 6.348<br />
3. <strong>Michielsen</strong> K., Beauclair R., Delva W., Van Rossem R., Temmerman M. (2012) The<br />
impact of a peer-led HIV prevention intervention in secondary schools in Rwanda:<br />
results from a cohort study with repeated measures and control group. BMC Public<br />
Health 12:729 Type: A1, IF: 2.0 (“Paper 2: Rwandan intervention”)<br />
4. <strong>Michielsen</strong> K., Celis H., Jingwa B., Degomme O., Van Rossem R., Temmerman M. Selfselection<br />
in a HIV prevention intervention: who is participating? Results from a peer<br />
education programme in secondary schools in Rwanda. Submitted to AIDS Education<br />
and Prevention (13/2/2012 – under review). Type: A1, IF: 1.59 (“Paper 3: selfselection”)<br />
5. <strong>Michielsen</strong> K., Remes P., Van Rossem R., Temmerman M. “I Think AIDS Is Raging<br />
among Teenagers Because of Their Passion for Possessions”. Rwandan Adolescents’<br />
Perceptions on Sexual and Reproductive Health Vulnerability Using the ‘Mailbox<br />
technique’. Submitted to SAHARA (4/1/2012 – under review). Type: A1, IF: 0.741<br />
(“Paper 4: mailbox technique”)<br />
6. Stroeken K., Remes P., De Koker P., <strong>Michielsen</strong> K., Van Vossole A., Temmerman M.<br />
(2011). HIV among out-of-school youth in Eastern and Southern Africa: a review. AIDS<br />
Care 2012;24(2):186-94. Type: A1, IF: 1.603 (“Paper 5: out-of-school youth”)<br />
7. <strong>Michielsen</strong> K., Chersich M., Dooms T., Temmerman M., Van Rossem R.. Nothing as<br />
practical as a good theory? The theoretical basis of HIV prevention interventions for<br />
young people in sub-Saharan Africa. AIDS Research and Treatment. 2012:345327.<br />
Epub 2012 Aug 1. Type: A2 (“Paper 6: theory review”)<br />
<br />
Secondary papers (in annex):<br />
1. Delva W., <strong>Michielsen</strong> K., Meulders B., Groeninck S., Wasonga E., Ajwang P.,<br />
Temmerman M., Vanreusel B. (2010), HIV prevention through sport: the case of the<br />
Mathare Youth Sport Association in Kenya, AIDS Care 22(8):1012-20. Type: A1, IF:<br />
1.684 (“Paper 7: Kenyan intervention”)<br />
18<br />
Kristein.indd 18 10/25/2012 8:36:14 PM
2. Stroeken K., <strong>Michielsen</strong> K., Remes P., Meeuwis M. The region-sensitive effect of<br />
globalization on HIV in Eastern and Southern Africa: The dual role of education.<br />
Submitted to AIDS & Behavior (08/2012 – under review). Type: A1, IF: 3.494 (“Paper<br />
8: globalization and education”)<br />
19<br />
Kristein.indd 19 10/25/2012 8:36:14 PM
20<br />
Kristein.indd 20 10/25/2012 8:36:14 PM
STUDY SITES AND<br />
POPULATION<br />
21<br />
Kristein.indd 21 10/25/2012 8:36:14 PM
3. Study Sites and Population<br />
As an introduction to the results, we present some background into the setting in which<br />
our studies took place, i.e. the Republic of Rwanda.<br />
3.1. Study setting: the district of Bugesera in the East Province of<br />
Rwanda<br />
Rwanda is a small landlocked country situated at the centre of the African continent. It<br />
has a surface of 26,338 square kilometres, slightly smaller than Belgium, and a population<br />
of almost 11.7 million [100], making it the most densely populated country in Africa.<br />
Rwanda has a very young population, the median age being 18.7 years, with a strong<br />
population growth (fertility rate: 5.4 children per woman) [101]. Rwanda has known<br />
a recent history of extreme violence. Since the Hutu ethnic group overthrew the Tutsi<br />
ruling king in 1959, there have been regular killings of Tutsis and moderate Hutus. This<br />
violence culminated in the 1994 genocide, where in the course of a month an estimated<br />
one million Tutsis and moderate Hutus were killed. Rwanda occupies rank 166 on the<br />
Human Development Index list [102], slightly below the sub-Saharan African average<br />
Figure 3.1: Map of Rwanda (left) and the district of Bugesera in the East Province of Rwanda<br />
(right)<br />
<br />
only a few years later a national HIV prevalence of 17.8% in urban areas and 1.3% in<br />
rural areas was registered. After the extreme violence and high number of sexual assaults<br />
during the genocide, the prevalence peaked in 1996 with an estimated 27% HIV-infected<br />
persons in urban areas and 6.9% in rural populations. While these data were mainly<br />
collected among pregnant women in antenatal care centres and patients from sexually<br />
transmitted infections (STI) clinics, more precise sentinel data were collected in 2002,<br />
22<br />
Kristein.indd 22 10/25/2012 8:36:14 PM
that found that prevalence varied between 2.6% and 3.6% in rural areas and between<br />
7.0% and 8.5% in urban areas. More recent surveys (2005 and 2010) established the<br />
adult HIV prevalence at 3% (4% in women and 2% in men). Urban areas remain most<br />
affected with a prevalence of 7.1%, compared to 2.3% in rural areas [103, 104].<br />
The Rwandan government puts HIV high<br />
on the agenda. Over 110 million dollar<br />
was spent on HIV related activities<br />
in 2008 (mostly coming from external<br />
donors). A considerable part of this<br />
budget (26% or 29 million in 2008) is<br />
allocated to prevention. The Rwandan<br />
Government published an ambitious<br />
3-year National Strategic Plan on HIV/<br />
AIDS (2009-2012) in which it aims<br />
to reduce the incidence of HIV in the<br />
general population by half. Concerning<br />
behavioural prevention, the Rwandan<br />
Government uses the EABC approach:<br />
education, abstinence, being faithful and<br />
condom use. [99]<br />
Our study takes place in the East Province<br />
of Rwanda, in the neighbouring districts<br />
of Bugesera (intervention district)<br />
and Rwamagana (control district). This<br />
province is characterized by low levels<br />
of knowledge on HIV, early sexual debut,<br />
high levels of risky sexual behaviour, and<br />
low uptake of HIV prevention related<br />
services [99]. It is a rural province, with few urban centres.<br />
3.1.1. Young People<br />
43.5% of the Rwandan population is under the age of 15 years, 53% are under the age<br />
of 20 years [107]. In Rwanda, HIV prevalence among young people aged 15-24 years is<br />
1.9% for women and 1.3% for men. Especially young women aged 20-24 years are affected:<br />
the HIV prevalence rises from 0.8% among those aged 15-19 years to 2.4% among<br />
those aged 20-24 years [103]. 6.6% of young people had sex before the age of 15 years<br />
[108]. Modern contraceptive use 2 among young women is 30.6% for women aged 15-19<br />
years and 42.1% for those aged 20-24 years. 11% of young people aged 15-24 years had<br />
comprehensive knowledge of HIV/AIDS [110].<br />
2 “Modern methods of contraception include the pill, female and male sterilization, IUD [intrauterine device], injectables, implants, male and female<br />
condom, diaphragm, and emergency contraception. Traditional methods include periodic abstinence, withdrawal and folk methods” [109. Family<br />
Planning [http://www.measuredhs.com/topics/Family-Planning.cfm]<br />
23<br />
Kristein.indd 23 10/25/2012 8:36:14 PM
In the National Strategic Plan on HIV [99] young people get a prominent place; halving<br />
the HIV prevalence among young people is one of the key indicators. This should be<br />
reached by delaying the onset of sexual activity, expanding youth-friendly HIV prevention<br />
and reproductive health services, and integrating sexual and reproductive health and HIV<br />
prevention in the school curricula (p. 53). School-based sexual health and anti-AIDS clubs<br />
will be used to reach young people (p. 54); a total of 2.5 million dollar (2% of the total<br />
budget) is dedicated for HIV related activities among secondary school students. Young<br />
<br />
The overall coordination of the National Strategic Plan on HIV is done by the National<br />
AIDS Control Commission (CNLS). The implementation is divided into 12 sectors (according<br />
to the sector in which it takes place), under the responsibility of the corresponding<br />
ministry. Other partners in implementation are civil society organizations, the private<br />
sector, regional and international programmes, and national reference institutions [99].<br />
3.1.2. School life in Rwanda<br />
The secondary education system in Rwanda is divided into two parts. In lower secondary,<br />
<br />
dents<br />
in secondary education ranges from 12 up to 30 years and even older.<br />
The gross enrolment rate (number of pupils enrolled in a given level of education related<br />
<br />
education is 143, which drastically reduces for lower secondary education (43) and higher<br />
secondary education (32 3 ) [111]. The gross graduation ratio is 53 for primary school,<br />
19 for lower secondary education [111] and 10 for higher secondary education [112].<br />
The majority of secondary school students reside in boarding schools and only return<br />
home for holidays two or three times a year. In most schools, boarding school students<br />
<br />
‘clubs’ operate in the schools, giving the students the opportunity to engage in free time<br />
activities, such as football clubs, music clubs, or religious clubs. In each school, the Rwandan<br />
Government installed a mandatory ‘anti-AIDS club’. This club is tasked with motivating<br />
students to take preventive efforts against HIV infection.<br />
3 This means that, for each 100 young people that are, given their age, expected to be in higher secondary education, 32 are actually enrolled.<br />
24<br />
Kristein.indd 24 10/25/2012 8:36:14 PM
3.2. The intervention: the Peer Education intervention of the<br />
Rwandan Red Cross<br />
3.2.1. Short History<br />
<br />
beginning of the nineties. After the genocide, however, the programme stopped for sev-<br />
<br />
<br />
living with HIV/AIDS and prevention activities for youth, in the former provinces of<br />
Gikongoro and Gisenyi and later in Kibungo and Kibuye. In 2003, the Red Cross Belgium<br />
Flanders injected additional funds enabling the Rwandan Red Cross to set up an HIV prevention<br />
programme in secondary schools in the former province of Gitarama.<br />
The Gitarama programme was evaluated in the framework of a policy study for the Bel-<br />
es<br />
and points for improvement, a process was put in place to strengthen it and implement<br />
an improved new intervention in the district of Bugesera. A joint effort by the RRC,<br />
the Belgian Red Cross Flanders, Sensoa (the expert centre for sexual health in Flanders)<br />
and the <strong>International</strong> <strong>Centre</strong> for Reproductive Health (ICRH) was set up. Workshops were<br />
organized in Spring and Autumn 2008, to develop clear goals and objectives for the intervention,<br />
and to elaborate a monitoring and follow-up plan. Red Cross staff was trained in<br />
HIV/AIDS and sexual and reproductive health issues and in educational tools by Sensoa,<br />
who also developed a training for the peer educators. The intervention was funded by the<br />
Belgian Red Cross Flanders.<br />
3.2.2. Objectives and Design<br />
The main objective of the Peer Education intervention was to reduce sexual risk behaviour<br />
and to promote sexual and reproductive health in the secondary school community.<br />
<br />
- to increase knowledge of the students regarding HIV/AIDS and sexual and reproductive<br />
health;<br />
- to reduce discrimination and stigmatization of HIV positive people in the secondary<br />
schools and in the community;<br />
- to promote responsible sexuality;<br />
- to reduce sexual risk behaviours for STI/HIV and unplanned pregnancies;<br />
- to promote voluntary HIV/STI counseling and testing.<br />
<br />
were selected and given a 6-day training. The training consisted of information on the<br />
Red Cross and its main principles, HIV/AIDS, sexually transmitted diseases, family planning<br />
and pregnancies, the role of the peer educator (what is expected of a peer educator<br />
25<br />
Kristein.indd 25 10/25/2012 8:36:14 PM
and what is the deontology of a peer educator?) and teaching methods (how to best approach<br />
students and how to transmit messages and counsel?). The peer educators were<br />
selected by the disciplinary teacher, who lives in the school and knows the students well,<br />
<br />
teacher per school (‘encadreur’) equally received a training in order to be able to support<br />
the peer educators in their activities. School principals attended a half day information<br />
session on the intervention. Two-yearly follow-up trainings (‘recyclage’) and trimestral<br />
<br />
activities took place. Each trimester the peer educators handed in an activity report. The<br />
District Red Cross Coordinator paid regular visits to the schools and was available for<br />
questions at any time.<br />
The activities of the peer educators primarily focused on sensitizing their fellow students<br />
for adopting positive and responsible behaviours towards HIV/AIDS. This was done<br />
through group and individual counseling, theatres, songs and other interactive methods.<br />
The intervention started in August 2009 and ended in October 2010. It was implemented<br />
in all (15) secondary schools in the district of Bugesera.<br />
26<br />
Kristein.indd 26 10/25/2012 8:36:14 PM
METHODOLOGY<br />
27<br />
Kristein.indd 27 10/25/2012 8:36:15 PM
4. Methodology<br />
To reach the aforementioned objectives, several study designs were chosen: systematic<br />
literature reviews and a meta-analysis (objectives 1, 3.b and 3.c), quantitative (objectives<br />
2 and 3.a) and qualitative designs (objective 3.b). The advantage of combining several research<br />
methods is that they can counteract each other’s weaknesses while taking advantage<br />
of the particular strengths of each method; combining research methods most likely<br />
results in a more complete picture of the topic under study. The study designs will be<br />
discussed in detail in the papers presented in Chapter 5; hereafter a general description<br />
of the most important methodologies used throughout the doctoral study is presented.<br />
The chapter concludes by discussing the research ethics.<br />
4.1. Study Designs<br />
4.1.1. Systematic literature reviews: objectives 1, 3.b and 3.c (paper 1:<br />
meta- analysis, paper 5: out-of-school youth, and paper 6: theory<br />
review)<br />
Systematic literature reviews are used to identify and interpret all available relevant<br />
<br />
of the knowledge on a given topic, but equally allow to identify research gaps.<br />
Based on the PRISMA-and QUOROM-statement [114, 115], we performed two systematic<br />
literature reviews, one including a meta-analysis. These reviews resulted in three<br />
<br />
in sub-Saharan Africa (paper 1: meta-analysis), on the HIV and sexual and reproductive<br />
health status of out-of-school youth compared to in-school youth (paper 5: out-of-school<br />
youth) and on the theoretical basis of HIV prevention interventions for young people in<br />
sub-Saharan Africa (paper 6: theory review).<br />
Before the studies were effectuated, a study protocol was developed, which included procedures<br />
for the literature search strategy, the inclusion criteria, the data to be extracted,<br />
the extraction procedure and the data analysis methods. Both literature searches included<br />
academic and grey literature. Paper 5 included an assessment of the overall quality<br />
of the articles, based on Taylor [116] (Figure 4.1). The quality of the articles included in<br />
papers 1 and 6 was guaranteed by the use of inclusion criteria on methodological soundness.<br />
Inclusion criteria were developed. Inclusion was decided by two independent researchers<br />
(paper 5: out-of-school youth) and by one researcher performing the literature<br />
study twice with a six month time lapse in between (paper 1: meta-analysis and paper 6:<br />
theory review). For both reviews, an electronic data extraction sheet was piloted by the<br />
-<br />
<br />
discussion between the pair of reviewers.<br />
28<br />
Kristein.indd 28 10/25/2012 8:36:15 PM
Study Type<br />
Qualitative Quantitative<br />
Description of the sampling<br />
(inadequate=0; adequate=1)<br />
How was data collected?<br />
(inadequate=0; adequate=1)<br />
Independent inspection of data (1<br />
rater=0; >1 rater=1)<br />
Was there a clear description of data<br />
analysis? (no=0; yes=1)<br />
Use of supportive quantitative<br />
methods? (no=0; yes=1)<br />
Figure 4.1: Quality assessment of articles included in paper 6<br />
4.1.2. Quantitative research: objectives 2 and 3.a (paper 2: Rwandan<br />
intervention and paper 4: self-selection)<br />
In order to study the effectiveness of a peer-led HIV prevention intervention for young<br />
people in secondary schools in Rwanda (paper 2: Rwandan intervention), and to assess<br />
<br />
undertook a longitudinal non-randomized controlled trial. Such methodology allows to<br />
quantify the effectiveness of and participation in the intervention, to compare between<br />
intervention and control groups and between participants and non-participants. If collected<br />
properly, quantitative data also allow generalizations to a broader population.<br />
Study design: Longitudinal Nonrandomized Controlled Trial: Studies 2 and 4<br />
We undertook a longitudinal non-randomized controlled trial including 8 intervention<br />
and 6 control schools. The study assessed students’ knowledge, attitudes and behaviours<br />
3 times over a period of 18 months: March 2009 (Baseline), March 2010 (T1) and Sep-<br />
<br />
baseline and T1 surveys were used, assessing if respondents’ characteristics at baseline<br />
could predict participation in the intervention at T1.<br />
Since the study was already planned to take place in all 15 secondary schools in the<br />
district of Bugesera over a certain period of time, it was not possible to randomly allocate<br />
schools, let alone, students, to the intervention or control condition. In the district<br />
of Bugesera 8 out of 15 schools were selected on a purposive basis. We aimed to include<br />
the greatest variety of schools in the study and applied several selection criteria: location<br />
(urban/rural), funding (public/private), number of students (small/large), religious<br />
background, and education offered (lower/higher secondary education). Control schools<br />
29<br />
Population size ( 1000=3)<br />
Design: clear question/hypothesis<br />
(no=0; yes=1)<br />
Design: Type of study (other=1;<br />
cross-sectional=2; casecontrol=3;cohort=4;<br />
RCT=5; review<br />
& meta-analysis=6)<br />
Data analysis<br />
Clear analysis plan (no=0;<br />
yes=1)<br />
Reporting on all participants<br />
(no=0; yes=1)<br />
Clear results (no=0; yes=1)<br />
Kristein.indd 29 10/25/2012 8:36:15 PM
in the neighbouring district of Rwamagana were selected using the same criteria. The<br />
<br />
chance of still being in school at the end of the survey. Drop-out rates are highest after<br />
<br />
year. Since no roads directly connect intervention and control sites, cross-site contamination<br />
was unlikely.<br />
enced<br />
sexual behaviour (condom use and recent history of sexual intercourse), sample<br />
size calculations were based on Wald tests for the odds ratio associated with the interaction<br />
term in regression models with two binary variables (intervention/control and T0/<br />
T1 or T0/T2) and their interaction. For logistic regression models, a minimum of 1,241<br />
observations are required to detect an adjusted odds ratio of 2 or more with 80% power<br />
lence<br />
of the outcome variable and no changes over time in the control group [117]. For<br />
linear regression models, a minimum of 348 observations are required to detect a small<br />
<br />
[118, 119]. Further, we assumed a design effect of 2, due to possibly strong correlation<br />
of repeated measurements from the same participant (T0/T1/T2), resulting in a minimum<br />
of 2,482 observations required from 1,241 participants. Anticipating a 25% loss to<br />
follow-up, we increased the target sample size to 1,655 participants.<br />
Data Collection<br />
The data were collected using paper-based self-administered questionnaires with closed<br />
ended questions. The questionnaire was developed in French, translated in Kinyarwanda<br />
and back translated in French. The questionnaires were developed using existing,<br />
validated questions and scales both for Rwanda [120-123] and Kenya [124-129] and<br />
were pretested among a small group of young people. In Rwanda, the questionnaires<br />
were administered in classrooms or refectories. The data-entry was done electronically<br />
<br />
was done by or under supervision of the main researcher and consistency checks with<br />
the paper versions were done by the main researcher.<br />
Statistical Analysis<br />
Three statistical packages were used to analyse our data: Stata version 11 (Stata Corporation,<br />
College Station, TX) (papers 2 and 4), R version 2.9.0 (Ihaka & Gentleman, 1996;<br />
R Development Core Team, 2005) (paper 3), and SAS version 9.2 (SAS Institute Inc., Cary,<br />
North Carolina). The latter was used to test if answers from students within one school<br />
were correlated. Since this was not the case, it was decided not to include schools as a<br />
dures<br />
that were used to analyse our data.<br />
Propensity score matching (paper 2: Rwandan intervention)<br />
The allocation of schools to the intervention and control group in the Rwandan study was<br />
30<br />
Kristein.indd 30 10/25/2012 8:36:15 PM
not randomized. Therefore we had to consider the possibility of selection bias. We evalu-<br />
<br />
in the intervention and control groups, which appeared to be the case. To control for this<br />
imbalance we calculated propensity scores. A propensity score is the probability of a unit<br />
being assigned to a particular condition in a study given a set of known covariates [130].<br />
Participants with propensity scores outside of the area of common support ([0.17, 0.98])<br />
were excluded from subsequent analyses [131]. The propensity scores were also included<br />
as a covariate in the multivariate effectiveness analysis.<br />
Generalized estimation equations (paper 2: Rwandan intervention)<br />
Given the longitudinal nature of the Rwanda study (each respondent participated three<br />
times in the study), we needed to take into account the possibility of correlation between<br />
<br />
averaged linear regression models to correlated data [132]. Parameter estimates from<br />
<br />
In the Rwandan effectiveness study, marginal linear and logistic regression analyses, using<br />
GEE, were conducted to determine the likelihood of experiencing different outcomes<br />
based on which group the participant belonged to, while accommodating for repeated,<br />
<br />
binomial or Gaussian distribution depending on which dependent variable was analysed.<br />
Ordinal, multinomial and linear regression techniques (paper 3: self-selection)<br />
To study determinants of binary and categorical dependent variables, we used binary,<br />
ordinal and multinomial logistic regression. When studying determinants of a linear variable<br />
we used linear regression models with backward variable selection technique. The<br />
<br />
effects in a step-wise manner. At each step, the independent predictor with the least contribution<br />
to the total variability was deleted. Akaike Information Criterion (AIC) was used<br />
<br />
where -2Log Likelihood is twice the difference in the log Likelihood of the full model and<br />
the alternative model [135] and k is twice the number of estimated parameters in the<br />
model (number of variables and the intercept). For linear regression, competing models<br />
<br />
related to the independent predictors (link function). Fitting models with different possible<br />
distributions and link functions is an integral part of model selection by goodness of<br />
<br />
4.1.3 Qualitative study: objective 3.b (paper 4: mailbox technique)<br />
One of the hypotheses of the observed limited effectiveness of HIV prevention interventions<br />
for young people in sub-Saharan Africa, and in Rwanda in particular, is that HIV<br />
prevention interventions do not address the right topics to make young people change<br />
their sexual behaviour. Hence, a study into the factors that determine this sexual behav-<br />
31<br />
Kristein.indd 31 10/25/2012 8:36:15 PM
iour is advisable, but complex and sensitive. The main objective of this study was to gain<br />
a thorough understanding of young Rwandans perceptions on sex and relationships.<br />
<br />
sexual and reproductive health and 2) to formulate recommendations for interventions<br />
that more directly address young people’s needs. Given the exploratory nature of such a<br />
study, we opted for a qualitative approach. This allows to uncover hidden and underlying<br />
ing<br />
of the perspectives of the study population.<br />
Study Design<br />
There were several concerns for collecting data among in-school Rwandan youth on the<br />
sensitive topic of sexuality and relationships using traditional qualitative methodologies.<br />
Interviews and focus group discussions would likely not generate useful information,<br />
because of the taboo on the topic and social desirability bias. Since the majority of the<br />
students live in boarding schools, without privacy, using a diary method was not appropriate<br />
because of the lack of safe storage spaces. An essay method, asking young people<br />
to write an essay on a particular subject would have the downside that students would<br />
only be able to express their ideas on one particular (imposed) moment. We sought a<br />
way in which young people could freely and voluntarily express their ideas on paper<br />
without having to store their written documents in an unsafe place. The idea of a mailbox<br />
emerged, which offered the advantages of anonymity and spontaneity.<br />
Data Collection<br />
Six secondary schools, selected on a purposive basis, were given a mailbox in March<br />
2009 and asked to install it in a place with a large passage of students, away from signs<br />
<br />
by the principal investigator. Instructions were attached to the mailbox and the students<br />
received detailed information on the objectives of the study in a school assembly. While<br />
ated<br />
in September 2009.<br />
Almost half of the relevant letters came from one (rural, lower secondary) school, even<br />
though all schools were given similar levels of information about the project. School<br />
administration and teachers of this school were asked if they had undertaken actions to<br />
motivate their students to write the letters, which was not the case. The reason for this<br />
difference between schools is not clear.<br />
Data Analysis<br />
In total, 186 letters were collected. Analysis was done in QSR NVivo 9 (QSR <strong>International</strong><br />
<br />
reproductive health or relationship issues were excluded from the analysis. Second, a<br />
closed coding system was applied, using the theoretical framework of Delor and Hu-<br />
32<br />
Kristein.indd 32 10/25/2012 8:36:15 PM
ert [137] as a guideline. The coding was done twice by the same researcher with four<br />
months between each coding.<br />
4.2. Research Ethics<br />
4.2.1 Ethical Approval<br />
The study was approved by the Ethics Commission of the Ghent University Hospital<br />
(2008/485), on the condition that approval was obtained from a local Ethics Commission.<br />
The Rwanda National Ethical Committee (42/RNEC/2009), the Rwandan Institute<br />
for Statistics (130/2009/INSR) and the Rwandan National AIDS Commission (0135/<br />
CNLS/2009/S.E) also approved the study.<br />
<br />
Participants in the survey were explained the objectives of the study and the principles<br />
<br />
informed consent form prior to participation. Since it was a longitudinal study, we used<br />
a coding system guaranteeing anonymity to link answers of the same respondent over<br />
time.<br />
Participation in the mailbox study was voluntary. Students were gathered and explained<br />
the objectives of the study. Then, once the mailboxes were installed, students could<br />
themselves take the initiative to participate. Providing their name, sex, age or any other<br />
personal information was not required. When provided, this information was treated<br />
<br />
All school authorities were explained the objectives of the study and asked to sign a form<br />
consenting to use their school as a study setting. Collaborators in the study were asked to<br />
read and consent to the ethics code of the American Sociological Association [138].<br />
4.2.3. Exemption for Parental Consent<br />
Even though the legal age of majority is 21 years in Rwanda, and our study included<br />
<br />
submission of our research project to the Rwandan National Ethical Committee was not<br />
approved for that reason. Argumentation in the second submission convinced the Committee<br />
members that parental consent was not necessary. Two main arguments were<br />
given. First, practical considerations: most students live in boarding schools and return<br />
home only two or three times a year. Parents rarely come to the school. The school does<br />
not possess all addresses or phone numbers of the parents, making it impossible to visit<br />
them or contact them by letter or phone. Low literacy rates and a low number of phone<br />
ownership was an additional problem. Second, we argued for a more developmental<br />
approach to adolescence and adulthood and stressed the importance of collecting data<br />
directly from adolescents. Based on guidelines from the World Health Organization [139],<br />
33<br />
Kristein.indd 33 10/25/2012 8:36:15 PM
the Society for Adolescent Medicine [140], the American Sociological Association [141]<br />
standing<br />
studies and have the cognitive capacity to take decision concerning participation<br />
and that the generally accepted age limit for this capacity is 14 years.<br />
34<br />
Kristein.indd 34 10/25/2012 8:36:15 PM
35<br />
RESULTS<br />
Kristein.indd 35 10/25/2012 8:36:15 PM
5. Results<br />
5.1. Outline<br />
The results section is divided into three parts, following the objectives of the study.<br />
Firstly, we will elaborate on the overall effectiveness of HIV prevention interventions for<br />
young people in sub-Saharan Africa, by presenting the results of a literature review and<br />
meta-analysis (objective 1, paper 1: meta-analysis).<br />
Secondly, we will present the results of the evaluations of a peer-led school-based HIV<br />
prevention interventions for young people in Rwanda (objective 2, paper 2: Rwandan intervention).<br />
Both the meta-analysis and the Rwanda study demonstrate that HIV prevention<br />
interventions for young people do not result in large changes in sexual behaviour.<br />
Thirdly, we will analyse the possible reasons for this observed limited effectiveness<br />
(objective 3): participation in the intervention (paper 3: self-selection), determinants<br />
of young people’s vulnerability (paper 4: mailbox technique and paper 5: out-of-school<br />
youth) and the theoretical assumptions used in these interventions (paper 6: theory<br />
review).<br />
<br />
5.2. To assess the overall effectiveness of HIV prevention<br />
interventions for young people in sub-Saharan Africa<br />
(objective 1)<br />
Introduction<br />
Literature reviews on the effectiveness of particular types of HIV prevention interventions<br />
for young people and other populations in sub-Saharan Africa and other regions,<br />
suggest a limited effectiveness of such interventions in changing sexual behaviour and<br />
reducing HIV incidence. However, a literature study and meta-analysis on the effective-<br />
<br />
Saharan Africa, that allows drawing overall conclusions on their effectiveness, was missing.<br />
Studying evaluations of HIV prevention interventions for young people also provides<br />
insights in possible reasons for their success/failure.<br />
Papers<br />
<strong>Michielsen</strong> K., Chersich MF., Luchters S., De Koker P., Van Rossem R., Temmerman M.<br />
(2010). Effectiveness of HIV prevention for youth in sub-Saharan Africa: systematic review<br />
and meta-analysis of randomized and nonrandomized trials. AIDS 24(8):1193–202.<br />
<strong>Michielsen</strong> K., Chersich M., Luchters S., Van Rossem R., Temmerman M. (2010). Concurrency<br />
and the limited effectiveness of behavioural interventions on sexual risk behaviour<br />
of youth in sub- Saharan Africa. AIDS 24(13):2140-2 (correspondence).<br />
36<br />
Kristein.indd 36 10/25/2012 8:36:15 PM
37<br />
Kristein.indd 37 10/25/2012 8:36:18 PM
38<br />
Kristein.indd 38 10/25/2012 8:36:21 PM
39<br />
Kristein.indd 39 10/25/2012 8:36:29 PM
40<br />
Kristein.indd 40 10/25/2012 8:36:32 PM
41<br />
Kristein.indd 41 10/25/2012 8:36:40 PM
42<br />
Kristein.indd 42 10/25/2012 8:36:48 PM
43<br />
Kristein.indd 43 10/25/2012 8:36:51 PM
44<br />
Kristein.indd 44 10/25/2012 8:36:53 PM
45<br />
Kristein.indd 45 10/25/2012 8:36:56 PM
46<br />
Kristein.indd 46 10/25/2012 8:36:59 PM
47<br />
Kristein.indd 47 10/25/2012 8:37:02 PM
48<br />
Kristein.indd 48 10/25/2012 8:37:05 PM
49<br />
Kristein.indd 49 10/25/2012 8:37:07 PM
5.3. To assess the effectiveness of a peer-led school-based HIV<br />
prevention intervention in Rwanda (objective 2)<br />
Introduction<br />
The literature review and meta-analysis indicated a rather limited effectiveness of HIV<br />
prevention interventions in sub-Saharan Africa in changing young people’s sexual behaviour<br />
or HIV incidence. To get a better understanding of how HIV prevention interventions<br />
for young people in sub-Saharan Africa are developed, implemented and evaluated, we<br />
set up an evaluation study of a peer-led school-based intervention in Rwanda. Given the<br />
limited number of evaluated HIV prevention interventions for young people in sub-Saha-<br />
more,<br />
studying the intervention in detail provides more insights into the possible reasons<br />
for success or failure of interventions in general.<br />
Furthermore, we collaborated in the evaluation of a peer-led sports-based HIV prevention<br />
intervention for young people in Kenya. The paper presenting the results of this<br />
effectiveness evaluation can be found in annex to this thesis (Delva W., <strong>Michielsen</strong> K.,<br />
Meulders B., Groeninck S., Wasonga E., Ajwang P., Temmerman M., Vanreusel B (2010),<br />
HIV prevention through sport: the case of the Mathare Youth Sport Association in Kenya,<br />
AIDS Care, Aug;22(8):1012-20).<br />
Papers<br />
<strong>Michielsen</strong> K., Beauclair R., Delva W., Van Rossem R., Temmerman M. (2012) The impact<br />
of a peer-led HIV prevention intervention in secondary schools in Rwanda: results from a<br />
cohort study with repeated measures and control group. BMC Public Health, 12:729.<br />
50<br />
Kristein.indd 50 10/25/2012 8:37:07 PM
51<br />
Kristein.indd 51 10/25/2012 8:37:13 PM
52<br />
Kristein.indd 52 10/25/2012 8:37:13 PM
53<br />
Kristein.indd 53 10/25/2012 8:37:14 PM
54<br />
Kristein.indd 54 10/25/2012 8:37:14 PM
55<br />
Kristein.indd 55 10/25/2012 8:37:14 PM
56<br />
Kristein.indd 56 10/25/2012 8:37:14 PM
57<br />
Kristein.indd 57 10/25/2012 8:37:14 PM
58<br />
Kristein.indd 58 10/25/2012 8:37:14 PM
59<br />
Kristein.indd 59 10/25/2012 8:37:14 PM
60<br />
Kristein.indd 60 10/25/2012 8:37:15 PM
61<br />
Kristein.indd 61 10/25/2012 8:37:16 PM
62<br />
Kristein.indd 62 10/25/2012 8:37:16 PM
63<br />
Kristein.indd 63 10/25/2012 8:37:17 PM
64<br />
Kristein.indd 64 10/25/2012 8:37:17 PM
65<br />
Kristein.indd 65 10/25/2012 8:37:17 PM
66<br />
Kristein.indd 66 10/25/2012 8:37:17 PM
67<br />
Kristein.indd 67 10/25/2012 8:37:17 PM
68<br />
Kristein.indd 68 10/25/2012 8:37:17 PM
69<br />
Kristein.indd 69 10/25/2012 8:37:17 PM
70<br />
Kristein.indd 70 10/25/2012 8:37:17 PM
71<br />
Kristein.indd 71 10/25/2012 8:37:18 PM
5.4. To identify and study possible reasons for the observed limited<br />
effectiveness of HIV prevention interventions for young people<br />
in sub-Saharan Africa (objective 3)<br />
Both the literature review and evaluations of peer-led HIV prevention interventions<br />
showed that such interventions do not seem to live up to their goal of reducing sexual<br />
<br />
reasons that might explain this observed lack of effectiveness: interventions do not succeed<br />
in reaching their target population, interventions do not address the crucial factors<br />
to reduce young people’s vulnerability to HIV, and interventions start from the wrong<br />
assumptions to change sexual behaviour of young people.<br />
5.4.1. To assess young people’s participation in HIV prevention interventions<br />
(objective 3.a)<br />
Introduction<br />
One of the conclusions of the literature review and meta-analysis was that there was a<br />
differential effectiveness of HIV prevention interventions; studies that compared young<br />
people highly exposed to interventions with those who had less exposure report more<br />
<br />
active participants was rarely further elaborated upon.<br />
Paper 2 (Rwandan intervention) showed that participation in the intervention was very<br />
low, with a large proportion of the target population not participating in the intervention.<br />
This was equally the case for the Kenyan intervention presented in annex. In the Rwandan<br />
intervention, over 40% of the respondents had not participated in any of the intervention<br />
activities. In the Kenyan intervention, about one in six never participated.<br />
Using the data from the Rwandan study we analysed if pre-intervention characteristics<br />
<br />
<br />
in the intervention, participation in group discussions and participation in individual<br />
advice.<br />
Paper<br />
<strong>Michielsen</strong> K., Celis H., Jingwa B., Degomme O., Van Rossem R., Temmerman M. Selfselection<br />
in an HIV prevention intervention: who is participating? Results from a peer<br />
education programme in secondary schools in Rwanda. Submitted to AIDS Education and<br />
Prevention.<br />
72<br />
Kristein.indd 72 10/25/2012 8:37:18 PM
73<br />
Kristein.indd 73 10/25/2012 8:37:18 PM
74<br />
Kristein.indd 74 10/25/2012 8:37:18 PM
75<br />
Kristein.indd 75 10/25/2012 8:37:18 PM
76<br />
Kristein.indd 76 10/25/2012 8:37:18 PM
77<br />
Kristein.indd 77 10/25/2012 8:37:18 PM
78<br />
Kristein.indd 78 10/25/2012 8:37:18 PM
79<br />
Kristein.indd 79 10/25/2012 8:37:19 PM
80<br />
Kristein.indd 80 10/25/2012 8:37:19 PM
81<br />
Kristein.indd 81 10/25/2012 8:37:19 PM
82<br />
Kristein.indd 82 10/25/2012 8:37:19 PM
83<br />
Kristein.indd 83 10/25/2012 8:37:19 PM
84<br />
Kristein.indd 84 10/25/2012 8:37:19 PM
85<br />
Kristein.indd 85 10/25/2012 8:37:19 PM
86<br />
Kristein.indd 86 10/25/2012 8:37:19 PM
87<br />
Kristein.indd 87 10/25/2012 8:37:20 PM
88<br />
Kristein.indd 88 10/25/2012 8:37:20 PM
89<br />
Kristein.indd 89 10/25/2012 8:37:20 PM
5.4.2. To study the vulnerability of young people for poor sexual and<br />
reproductive health (objective 3.b)<br />
Introduction<br />
A possible explanation of the limited effectiveness of HIV prevention interventions could<br />
be that the interventions do not address the right topics to make young people change<br />
their behaviour. Since sexuality and sexual relationships are inherently embedded in a<br />
social context, a thorough contextualized understanding of young people’s perceptions<br />
on sex and relationships is essential for formulating effective SRH promotion interventions.<br />
However, few studies on sexuality of youth in Africa go beyond describing HIV risk<br />
related behaviours. We undertook two studies on determinants of young people’s sexual<br />
health, focussing on different levels.<br />
Firstly, we aimed to gain a thorough understanding of young Rwandans’ perceptions<br />
on sexuality and relationships, by analysing the stories they spontaneously write about<br />
sexuality and relationships. This allowed to identify factors that young people themselves<br />
indicate to be important in their sexual decision making and allows to analyse their particular<br />
vulnerability for HIV infection and poor sexual and reproductive health.<br />
Secondly, focussing on the environmental level, we assessed the link between being<br />
out-of-school on the one hand and HIV status and risky sexual behaviour on the other<br />
hand, thereby uncovering the protective/hazardous effect of schooling for young people.<br />
This study aims to demonstrate the important role of structural level factors on young<br />
people’s HIV status, sexual and reproductive health and sexual behaviour. To this end, we<br />
undertook a literature review of descriptive studies in East and Southern Africa.<br />
Furthermore, we lifted the education factor to the highest level and studied its impact as<br />
a structural factor on HIV prevalence. The starting hypothesis was that the link between<br />
<br />
of globalization. Analysing data from the Demographic Health Survey and other datasets,<br />
we tried to uncover, qualify and contextualize this link. This study is presented in annex<br />
to this thesis (Stroeken K., <strong>Michielsen</strong> K., Meeuwis M., Remes P. The region-sensitive<br />
effect of globalization on HIV in Eastern and Southern Africa: The dual role of education.<br />
Submitted to AIDS & Behavior).<br />
Papers<br />
<strong>Michielsen</strong> K., Remes P., Van Rossem R., Temmerman M. “I Think AIDS Is Raging among<br />
Teenagers Because of Their Passion for Possessions”. Rwandan Adolescents’ Perceptions<br />
on Sexual and Reproductive Health Vulnerability Using the ‘Mailbox technique’. Submitted<br />
to SAHARA.<br />
90<br />
Kristein.indd 90 10/25/2012 8:37:20 PM
Stroeken K., Remes P., De Koker P., <strong>Michielsen</strong> K., Van Vossole A., Temmerman M., (2011).<br />
HIV among out-of-school youth in Eastern and Southern Africa: a review. AIDS Care<br />
2012;24(2):186-94.<br />
91<br />
Kristein.indd 91 10/25/2012 8:37:20 PM
92<br />
Kristein.indd 92 10/25/2012 8:37:20 PM
93<br />
Kristein.indd 93 10/25/2012 8:37:20 PM
94<br />
Kristein.indd 94 10/25/2012 8:37:20 PM
95<br />
Kristein.indd 95 10/25/2012 8:37:21 PM
96<br />
Kristein.indd 96 10/25/2012 8:37:21 PM
97<br />
Kristein.indd 97 10/25/2012 8:37:29 PM
98<br />
Kristein.indd 98 10/25/2012 8:37:29 PM
99<br />
Kristein.indd 99 10/25/2012 8:37:29 PM
100<br />
Kristein.indd 100 10/25/2012 8:37:29 PM
101<br />
Kristein.indd 101 10/25/2012 8:37:29 PM
102<br />
Kristein.indd 102 10/25/2012 8:37:32 PM
103<br />
Kristein.indd 103 10/25/2012 8:37:33 PM
104<br />
Kristein.indd 104 10/25/2012 8:37:33 PM
105<br />
Kristein.indd 105 10/25/2012 8:37:33 PM
106<br />
Kristein.indd 106 10/25/2012 8:37:33 PM
107<br />
Kristein.indd 107 10/25/2012 8:37:33 PM
108<br />
Kristein.indd 108 10/25/2012 8:37:33 PM
109<br />
Kristein.indd 109 10/25/2012 8:37:33 PM
110<br />
Kristein.indd 110 10/25/2012 8:37:34 PM
111<br />
Kristein.indd 111 10/25/2012 8:37:34 PM
112<br />
Kristein.indd 112 10/25/2012 8:37:34 PM
113<br />
Kristein.indd 113 10/25/2012 8:37:34 PM
114<br />
Kristein.indd 114 10/25/2012 8:37:43 PM
115<br />
Kristein.indd 115 10/25/2012 8:37:50 PM
116<br />
Kristein.indd 116 10/25/2012 8:37:51 PM
117<br />
Kristein.indd 117 10/25/2012 8:37:51 PM
118<br />
Kristein.indd 118 10/25/2012 8:37:51 PM
119<br />
Kristein.indd 119 10/25/2012 8:37:51 PM
120<br />
Kristein.indd 120 10/25/2012 8:37:51 PM
121<br />
Kristein.indd 121 10/25/2012 8:37:51 PM
122<br />
Kristein.indd 122 10/25/2012 8:37:52 PM
5.4.3. To assess the theoretical assumptions used to change sexual behaviour in<br />
HIV prevention interventions for young people in sub-Saharan Africa<br />
(objective 3.c)<br />
Introduction<br />
One of the conclusions of our literature review and meta-analysis was that the observed<br />
<br />
reduction interventions. We undertook a study assessing the theoretical underpinnings<br />
of HIV prevention interventions for young people in sub-Saharan Africa. This section<br />
assesses the extent to which these interventions are grounded in theory, how these<br />
theories are used and if theory-based interventions are more effective in changing sexual<br />
behaviour than interventions not based on theory. We discuss the gaps in the theoretical<br />
basis of HIV prevention interventions for young people in sub-Saharan Africa.<br />
Papers<br />
<strong>Michielsen</strong> K., Chersich M., Dooms T., Temmerman M., Van Rossem R.. Nothing as practical<br />
as a good theory? The theoretical basis of HIV prevention interventions for young<br />
people in sub-Saharan Africa. AIDS Research and Treatment. 2012: 345327. Epub 2012<br />
Aug 1,<br />
123<br />
Kristein.indd 123 10/25/2012 8:37:52 PM
124<br />
Kristein.indd 124 10/25/2012 8:37:52 PM
125<br />
Kristein.indd 125 10/25/2012 8:37:52 PM
126<br />
Kristein.indd 126 10/25/2012 8:37:52 PM
127<br />
Kristein.indd 127 10/25/2012 8:37:52 PM
128<br />
Kristein.indd 128 10/25/2012 8:37:53 PM
129<br />
Kristein.indd 129 10/25/2012 8:37:53 PM
130<br />
Kristein.indd 130 10/25/2012 8:37:53 PM
131<br />
Kristein.indd 131 10/25/2012 8:37:53 PM
132<br />
Kristein.indd 132 10/25/2012 8:37:53 PM
133<br />
Kristein.indd 133 10/25/2012 8:37:54 PM
134<br />
Kristein.indd 134 10/25/2012 8:37:54 PM
135<br />
Kristein.indd 135 10/25/2012 8:37:54 PM
136<br />
Kristein.indd 136 10/25/2012 8:37:54 PM
137<br />
Kristein.indd 137 10/25/2012 8:37:54 PM
138<br />
Kristein.indd 138 10/25/2012 8:37:55 PM
139<br />
Kristein.indd 139 10/25/2012 8:37:55 PM
140<br />
Kristein.indd 140 10/25/2012 8:37:55 PM
141<br />
Kristein.indd 141 10/25/2012 8:37:55 PM
142<br />
Kristein.indd 142 10/25/2012 8:37:55 PM
143<br />
DISCUSSION<br />
Kristein.indd 143 10/25/2012 8:37:56 PM
6. Discussion<br />
Given the high burden of HIV on young people in sub-Saharan Africa, the main objective<br />
of this study was to improve the effectiveness of HIV prevention interventions for young<br />
people in this region. To that end, we assessed the overall effectiveness of such interven-<br />
<br />
improvement.<br />
This discussion is divided in four parts. Firstly, we discuss the effectiveness of HIV prevention<br />
interventions for reducing sexual risk behaviour of and HIV incidence in young<br />
<br />
most important reasons for this observed limited effectiveness is presented, suggesting<br />
<br />
study. Finally, recommendations, conclusions, and suggestions for further research are<br />
formulated.<br />
6.1. Failure to demonstrate the effectiveness of HIV prevention<br />
interventions<br />
The literature review and meta-analysis (paper 1) showed limited effectiveness of HIV<br />
prevention interventions for young people in sub-Saharan Africa. Young people did<br />
<br />
condom use only increased notably among males, but remained at a low level. Further-<br />
<br />
<br />
changes in knowledge and attitudes, but only small changes in sexual behaviour [88-91,<br />
93, 163]. None of the interventions included in the meta-analysis had an overall positive<br />
<br />
meta-analysis. Mavedzenge [164] systematically reviewed evidence on the effectiveness<br />
of youth HIV/AIDS prevention interventions in sub-Saharan Africa and made evidence-<br />
<br />
<br />
<br />
evaluations that were not overall positive (e.g. [165-167]). For all other types of interventions<br />
the evidence was too weak to advice scale-up. A review of Ross [96], including<br />
randomized controlled trials (RCTs) of HIV prevention interventions with biological end-<br />
<br />
of which none measured a reduction in HIV incidence.<br />
<br />
remains a mismatch between the number of evaluated HIV prevention interventions for<br />
young people in sub-Saharan Africa and the burden of the HIV epidemic for youth in this<br />
144<br />
Kristein.indd 144 10/25/2012 8:37:56 PM
egion. In 2010, young people aged 15 to 24 years accounted for 42% of new HIV infections<br />
[25]. These numbers justify an important focus on young people in HIV prevention<br />
efforts and contrast sharply with the fact that we could only identify 34 relatively wellevaluated<br />
interventions in sub-Saharan Africa that aim to reduce young people’s sexual<br />
risk behaviour, over a period of over two decades (paper 1: meta-analysis and paper 6:<br />
theory review).<br />
<br />
Africa is dominated by behavioural interventions using educational and sensitising<br />
tools to achieve behaviour change. This is generally called the “Information, Education,<br />
Communication” (IEC) approach. Even though our literature study allowed to include<br />
<br />
sexual behaviour applying a structural approach: using cash transfers, the intervention<br />
aimed to stimulate girls to stay in school and to reduce their economic dependence on<br />
<br />
than the control group, though the absence of HIV baseline data warrants caution. Also<br />
recently, the Population Council published the results of the Siyakha Nentsha Programme<br />
<br />
to school-aged boys and girls. The evaluation showed that young men had reduced onset<br />
of sexual activity and fewer partners [168].<br />
<br />
evaluations and reviews on related topics have found: interventions aiming to reduce<br />
sexual risk behaviour of and HIV incidence in young people using IEC approaches generally<br />
do not live up to their goal. The peer-led school-based intervention in Rwanda (paper<br />
2) did succeed in increasing young people’s perception that AIDS is a serious disease and<br />
<br />
differences between the intervention and control group when it came to self-reported<br />
sexual behaviour including condom use. Participants in the peer-led sports-based intervention<br />
in Kenya (paper 7, annex) reported more condom use, but this remained at a low<br />
level and the effect disappeared in the multivariate analysis. In addition, the intervention<br />
group reported higher behavioural control. There were no differences between the intervention<br />
and control groups concerning attitudes, sexual activity, concurrent partnerships<br />
and number of partners.<br />
Three decades of developing, implementing and evaluating HIV prevention programmes<br />
for young people in sub-Saharan Africa has not resulted in a ‘gold standard’ intervention.<br />
Both on the macro-level (meta-analysis) and the micro-level (peer-led interventions) no<br />
convincing evidence was found of the effectiveness of these interventions in reducing<br />
sexual risk behaviour of and HIV incidence in the target population.<br />
On the other hand, UNAIDS reports that HIV incidence declined among young people in<br />
21 countries with generalized epidemics between 2001 and 2009 and that these reduc-<br />
145<br />
Kristein.indd 145 10/25/2012 8:37:56 PM
tions occurred amid signs of changes in sexual behaviour (later sexual debut, reduction<br />
of multiple partnerships and increase of condom use at last sex) [59, 60]. This means that<br />
young people are changing their behaviour, but that these changes are hardly observed as<br />
the results of HIV prevention interventions. In the next section, we will elaborate on the<br />
possible reasons for the observed limited effectiveness of HIV prevention interventions<br />
on sexual risk behaviour of young people in sub-Saharan Africa.<br />
6.2. Reasons for the observed limited effectiveness of HIV<br />
prevention interventions<br />
The observed limited effectiveness of HIV prevention interventions in sub-Saharan Africa<br />
in changing young people’s sexual behaviour and reducing HIV incidence cannot be at-<br />
<br />
of possible mechanisms:<br />
- factors related to the intervention (6.2.1.): intervention design (content and objec -<br />
tives) and intervention implementation (participation and approach);<br />
- factors related to the evaluation (6.2.2.): evaluation design and evaluation outcomes.<br />
6.2.1. Intervention related factors<br />
In assessing evaluations of HIV prevention interventions, much attention goes to the<br />
quality of the evaluation design, to avoid Type I (false positives) and Type II (false negatives)<br />
errors [135], but less consideration is given to what Green [169] calls Type III errors:<br />
the adequacy of the intervention itself. In this section, we will discuss the intervention<br />
design (content and objectives) and implementation (participation and approach).<br />
6.2.1.1. Intervention design<br />
The ultimate objective of most HIV prevention interventions, including those studied in<br />
this thesis, is to reduce HIV incidence in young people. By trying to do so, interventions<br />
aim to reduce sexual risk behaviour resulting in the following logical sequence (Figure<br />
6.1):<br />
HIV prevention<br />
intervention<br />
Figure 6.1: Theoretical intervention sequence of HIV prevention interventions for young<br />
people in sub-Saharan Africa<br />
Sexual risk behaviour<br />
Despite the simplicity of this sequence, the practical interpretation seems less straightforward;<br />
interventions focus on cognitions to increase condom use and reduce unsafe<br />
sexual activity, which on its turn should result in a reduced HIV incidence (Figure 6.2).<br />
<br />
146<br />
HIV incidence<br />
Kristein.indd 146 10/25/2012 8:37:56 PM
the intervention content - which is traditionally focused on increasing HIV related knowledge,<br />
adopting HIV related positive attitudes and learning HIV related skills - and the<br />
interventions’ objectives, i.e. changing sexual behaviour. The second problem concerns<br />
the choice of the interventions’ behavioural outcomes and strength of association with<br />
HIV incidence.<br />
<br />
Traditional interventions:<br />
ABC, IEC, skills building,<br />
stigma reduction, risk<br />
perception<br />
Intervention outcome<br />
objectives: increase<br />
condom use, reduce<br />
sexual activity<br />
Figure 6.2: Practical interpretation of intervention sequence<br />
Intervention content<br />
The objectives of HIV prevention interventions for young people in sub-Saharan Africa<br />
are broad. The Rwandan intervention aimed to reduce sexual risk behaviour and to promote<br />
sexual and reproductive health and the Kenyan intervention had as a main objective<br />
to promote sexual behavioural change among the youth of the Mathare Valley community.<br />
To achieve this, the interventions educated participants on HIV transmission routes<br />
and protection modes through traditional and interactive learning methods. These are no<br />
exceptions; many other (peer education) interventions have similar objectives and use<br />
comparable methods (e.g. [124, 170-173]).<br />
Looking at their theoretical basis, we found that HIV prevention interventions are based<br />
on cognitive behavioural models, that explain sexual behaviour through a number of<br />
cognitions as intentions, attitudes, beliefs and expectations (paper 6). By focussing on<br />
cognitive constructs of behaviour, the interventions start from the assumption that cogni-<br />
<br />
The discrepancy between knowledge and behaviour may also be related to adolescent<br />
brain development: since the prefrontal cortex, which is associated with risk-taking and<br />
decision-making, is among the last regions of the brain to gain maturity [175, 176], it is<br />
<br />
are prone to impulsive behavior [177].<br />
<br />
critical determinants of sexual behaviour, forming a complex multi-layered and interde-<br />
<br />
<br />
four levels:<br />
- personal factors: characteristics of the individual;<br />
- interpersonal factors: direct relationships between the young person and another<br />
person;<br />
- environmental factors: organizational or institutional factors that shape the direct,<br />
proximate environment;<br />
- social and cultural factors: factors that shape the society and context on a higher, distal<br />
level.<br />
147<br />
Ultimate objective:<br />
reduce HIV<br />
incidence<br />
Kristein.indd 147 10/25/2012 8:37:56 PM
Personal level<br />
Adolescents go through a period of physical and emotional maturation on their way to<br />
adulthood, constructing their adult identity by exploring and experimenting, including<br />
sexually. They might not yet have stable internalized values and norms concerning<br />
<br />
relationship. Their limited experience makes them vulnerable to peer pressure and unhealthy<br />
decisions (paper 4: mailbox technique).<br />
Although the level of HIV knowledge of young people in Rwanda was high - after the<br />
Rwandan intervention the median score for knowledge of HIV transmission routes was<br />
10/11 (paper 2) - the questions posted in the mailboxes (paper 4) demonstrated a low<br />
understanding of the biological mechanisms of HIV and human reproduction. It seemed<br />
that young people in our study can replicate the prevention messages they hear (abstain,<br />
be faithful, use a condom), but might lack understanding of the reasons for proposing<br />
these behaviours.<br />
Interpersonal level<br />
Young people engage in different types of sexual relationships, putting them differently<br />
at risk for HIV infection. Age-disparate relationships are more risky because they expose<br />
the younger person (mostly a girl) to a partner who is more likely to be sexually<br />
experienced and hence more likely to be HIV positive [36, 180-182]. Overlapping sexual<br />
partnerships or concurrent relationships create a highly connected sexual network that<br />
serves as a highway for HIV transmission [40-42].<br />
Among young people in Rwanda, both types of relationships exist, driven by an underlying<br />
phenomenon: transactional sex, in which money or gifts are given in exchange for<br />
sexual intercourse (paper 4: mailbox technique). The “desire to lead a modern life”, as it<br />
is called by Remes [183], is a driving factor in engaging in transactional sex, on its turn<br />
encouraging multiple partners and relationships with older partners to increase material<br />
gain. The letters written by Rwandan students indicated that peer pressure is a driving<br />
factor in these types of relationships. Also, it is clear from their letters that young people<br />
are curious and experiment with sex, or wish to do so. These experimental sexual interactions<br />
are driven by factors as curiosity and sexual desire, and occur among same-age<br />
youth. Given their ad hoc nature, these interactions often taken place unprepared and<br />
unprotected.<br />
Different types of sexual relationships are motivated by different factors, and put young<br />
people differently at risk. While experimental sex puts young people at risk because of<br />
the ad hoc nature and unavailability of condoms, the lack of condom use in transactional<br />
sex is often the result of a negotiation process. In steady, long-term relationships, young<br />
people can be at risk because proposing condoms might be seen as a lack of trust. Hence,<br />
these different types of partnership should be recognized and dealt with differently in<br />
HIV prevention interventions. In the evaluation studies included in our literature review<br />
and meta-analysis (paper 1), most researchers dichotomize sexual relationships either<br />
with a ‘steady’ or ‘casual’ partner, the latter being portrayed as considerably more risky<br />
<br />
prevention efforts; it risks conveying that long-term steady partnerships are safe, while<br />
in reality they might well be most hazardous [40-42].<br />
148<br />
Kristein.indd 148 10/25/2012 8:37:56 PM
The interpersonal level not only concerns peers and partners, but also other important<br />
<br />
teachers fail to inform them on sexual health topics (paper 4: mailbox technique).<br />
Environmental level<br />
The situation in which the Rwandan study participants live – boarding schools with<br />
relatively limited supervision - allows for much contact between boys and girls, but<br />
few opportunities for planned sexual intercourse. Paper 5 (out-of-school youth) found<br />
that in-school youth have a lower HIV prevalence and less risky sexual behaviour than<br />
out-of-school youth. Although it cannot be ignored that this is partly because of other<br />
background difference between these two groups, the study suggests that schools may<br />
be relatively isolated communities where risky sexual behaviour might be less problematic<br />
than in the open network. On the other hand, schools can also be a risky place:<br />
several letters written by Rwandan students (paper 4: mailbox technique) mentioned the<br />
phenomenon of (male) teachers having sex with (female) students in exchange for school<br />
<br />
is commonly mentioned.<br />
Social and cultural factors<br />
Norms. Sex between young people is taboo and considered morally and legally (under 18<br />
itive<br />
aspects of relations, sex and sexuality. In the letters written by Rwandan students<br />
(paper 4: mailbox technique), a positive discourse on adolescent sexuality and relationships<br />
is almost completely absent. While young Rwandans do have sex for pleasure, the<br />
values attributed to adolescent sexuality are negative and sinful.<br />
Gender. Girls are usually seen as the provokers of sexual desire in boys; in experimental<br />
sex because of their provocative clothing and in transactional sex because of their desire<br />
for gifts. Boys are seen as only to act upon their physical needs. Nevertheless, girls are<br />
supposed to say ‘no’ to every attempt for intimacy, thereby devaluating the meaning of a<br />
‘real no’ (paper 4: mailbox technique). Paper 3 (self-selection) found that being a boy or<br />
girl was a dominant predictor of participation in the peer-led intervention. Those who<br />
are more outgoing and at ease with their sexuality are more likely to participate in group<br />
activities. In general, in Rwandan culture, while it can be considered a sign of masculinity<br />
to have sex, openly talking about sex is taboo for girls [161].<br />
<br />
technique). Young people in Rwanda, especially girls, have sex in exchange for money and<br />
ence<br />
sexual decisions, in the sense that youth need money to buy less essential goods as<br />
telephones and body lotion that others may have. The less urgent need for these products<br />
in comparison to survival sex surely might put young people in a stronger negotiation<br />
position. However, they seem to use this power to negotiate more goods, instead of safer<br />
sex.<br />
Future perspective. In resource-limited societies with limited tangible opportunities and<br />
<br />
might win over the fear of possibly getting infected with a disease that will affect one<br />
-<br />
149<br />
Kristein.indd 149 10/25/2012 8:37:56 PM
pation in the peer-led intervention in Rwanda depended, among others, on the future<br />
perspective of the students: students who never had sex were more likely to participate<br />
when they have a more positive future perspective.<br />
Education and globalization. Paper 8 (globalization and education, in annex) found that<br />
<br />
literacy and a secluded or safer sex network, outweigh the risks of education, such as<br />
increase of mobility and of the reach and/or density of social (hence sexual) networks.<br />
This tipping point regionally differs because it relates to the level of globalization, itself<br />
determining the extent to which secondary education is common in a region and thus<br />
no longer a comparatively strong booster of the sexual network. Education therefore<br />
reduces prevalence and saves lives mostly in regions that have reached a certain level of<br />
globalization and thus passed the tipping point. In the less globalized regions, education<br />
should be prevented from creating a cultural vacuum, alienating pupils, or creating social<br />
division, as in the formation of elites with the means of engaging in much partner concurrency.<br />
150<br />
Kristein.indd 150 10/25/2012 8:37:56 PM
Policy<br />
Gender norms<br />
Family<br />
Teachers<br />
Parents<br />
Globalization<br />
Peers<br />
HIV related cognitions:<br />
knowledge, attitudes<br />
151<br />
Education<br />
Sexual and<br />
reproductive health<br />
services<br />
Kristein.indd 151 10/25/2012 8:37:56 PM<br />
Partner characteristics<br />
Socio-demographic<br />
characteristics<br />
sexual<br />
behaviour<br />
HIV<br />
incidence<br />
Future<br />
perspective<br />
Access to<br />
condoms<br />
Type of relationship<br />
Individual factors<br />
Life stage: adolescence<br />
Economic factors<br />
School<br />
Interpersonal factors<br />
Environmental factors<br />
Norms<br />
Social and<br />
cultural factors
Gaps in intervention content<br />
<br />
indication of the complexity of young people’s sexual behaviour. The combination of<br />
studies suggests that sexual behaviour is determined by more than cognitive predictors<br />
as HIV related knowledge, attitudes and skills. Sexual decisions depend on interlinked<br />
personal factors, partner characteristics, type of relationship, the proximate context (e.g.<br />
school, family) and the more distal social and cultural context (e.g. norms, gender, poverty)<br />
(Figure 6.3). Seen from an ecological viewpoint, it is clear that interventions mainly<br />
focusing on personal HIV knowledge, attitudes and skills can only have limited effects<br />
on sexual behaviour. Recognizing the complexity and heterogeneity of sexual behaviour,<br />
theory could provide guidance in simplifying this complex behaviour and in identifying<br />
key determinants. However, the implicit assumptions made by many HIV prevention<br />
interventions might simplify sexual behaviour too much. They generally do not account<br />
for inter-personal, environmental, social and cultural factors related to the complexity<br />
of sex, the experience of youth and disparities in social, cultural and economic realities<br />
of young people in sub-Saharan Africa. As Mason-Jones [184] explained after evaluating<br />
the lack of effectiveness of a peer education programme: “It may be that social factors are<br />
<br />
changes”. It is possible that interventions are doomed from the outset, simply because it<br />
munity<br />
norms and structural factors. Ross [96] and Hayes [185] even stated that such<br />
interventions may be “inherently ineffective”.<br />
The vulnerability model [137] and the socio-ecological approach [178] may be good alternative<br />
frameworks to guide interventions. While the vulnerability model puts a strong<br />
emphasis on the interaction (sexual relationship), the socio-ecological model stresses the<br />
importance of both proximate and distal determinants of behaviour. Nevertheless, since<br />
young people are not a homogenous population and contexts differ, the most important<br />
part of developing an effective intervention is understanding the behaviour that one is<br />
trying to change, and using a thorough situation analysis and needs assessment to identify<br />
the determinants of this behaviour and causal pathways through which these deter-<br />
<br />
Interventions’ outcome objectives<br />
Interventions aim to reduce HIV incidence and, to that end, focus on reducing sexual risk<br />
behaviours. However, several studies have failed to demonstrate a consistent link between<br />
certain sexual behaviours and HIV incidence/prevalence. Buvé [186] looked at the<br />
difference in HIV prevalence between four cities in four different countries. The observed<br />
differences could not be explained by differences in sexual behaviour (even though<br />
ence<br />
HIV transmission, i.e. male circumcision and HSV-2 infection. Also Chapman [187]<br />
compared HIV prevalence and sexual behaviours in four countries and concluded that socalled<br />
sexual risk behaviours were higher in low prevalence populations. Pettifor [188]<br />
compared two nationally representative surveys of young people, one in South Africa and<br />
one in the USA. While HIV prevalence in South African young people is ten times higher<br />
<br />
152<br />
Kristein.indd 152 10/25/2012 8:37:56 PM
partners, and practiced safer sex. There are several possible explanations: South African<br />
young girls are more likely to have older sexual partners, male circumcision levels are<br />
lower, STI prevalence is higher, and the South African society is more characterized by<br />
gender power imbalances, poverty, coerced sex and rape, lack of youth friendly services,<br />
<br />
studied the role of education and demonstrated that HIV prevalence can be linked to<br />
structural factors as education and globalization and that this relationship differs regionally,<br />
nationally and sub-nationally.<br />
Reducing sexual risk behaviour among young people is essential in reducing HIV inci-<br />
<br />
in HIV incidence also depends upon relational and contextual factors. Otherwise put, the<br />
same behaviour does not result in the same risk for HIV infection in every relationship<br />
or context. In order to have a high impact, interventions should focus on the most risky<br />
behaviour(s) of their target population, and its dominant predictors, and should consider<br />
the position of the target population within the dynamic sexual network through which<br />
HIV is spread [189].<br />
The Rwandan and Kenyan interventions described in this review were not based on a<br />
thorough assessment of dominant sexual behaviours and relationships, or on a contextual<br />
study. Therefore, it is possible that the interventions were targeting the wrong behav-<br />
<br />
Rwanda (paper 4) demonstrated that young people do have sex and that transactional<br />
sex, often with older partners, is one of the dominant forms of sexual relationships.<br />
<br />
young people on how to deal with this. Neither did it provide a positive approach to<br />
young people’s sexual relationships, which would allow discussion on how to integrate<br />
protective measures in such transactional relationships.<br />
comes.<br />
The behavioural objectives mostly aimed at are increased condom use (at last<br />
<br />
number of sexual partners, recent sexual activity). While protective sexual intercourse<br />
through condom use is unambiguously a positive measure against HIV infection, sexual<br />
activity is an outcome of a different sort. Many interventions attribute a positive connotation<br />
to postponing sexual debut and to reducing sexual activity and sexual partners,<br />
hence dividing sexual behaviours into ‘good’ and ‘bad’ behaviours. While manuals for<br />
setting up HIV prevention interventions for young people prioritize a non-judgemental<br />
<br />
(unconsciously) implies a moralistic judgement on young people’s sexual behaviour. We<br />
argue that HIV prevention interventions should question the utility of these behavioural<br />
outcomes and should more consciously choose how to reach their ultimate objective<br />
(reducing HIV incidence). A promising, alternative outcome was developed by Wellings<br />
[193]: sexual competence, which stimulates young people to be sexually responsible,<br />
making sure sexual intercourse is characterised by absence of coercion and regret, autonomy<br />
of decision, and use of a reliable method of contraception. While currently used<br />
153<br />
Kristein.indd 153 10/25/2012 8:37:56 PM
desired outcomes impose judgment on young people’s sexual behavioural choices, the<br />
latter approaches young people as responsible persons who can make conscious decisions,<br />
while at the same time acknowledging the importance of safe sexual behaviour.<br />
6.2.1.2. Intervention implementation<br />
A second reason why HIV prevention interventions for young people in sub-Saharan<br />
Africa fail to demonstrate success is that they are confronted with implementation problems.<br />
Studying the implementation of interventions is an essential condition for improving<br />
interventions’ effectiveness. It allows us to not only answer the question ‘Does the<br />
intervention work?’, but also questions as ‘How does it work?’ and ‘What components are<br />
essential to its success?’ [169, 194]. An extensive literature review by Durlak [195] provided<br />
strong evidence that effective implementation is associated with better outcomes<br />
in promotion and prevention interventions.<br />
Studies included in our literature review and meta-analysis partially ascribed the limited<br />
impact of interventions to poor implementation of the intervention [129, 149, 150, 196-<br />
198]. A process analysis of the Rwandan intervention was done by master student Hanne<br />
Celis in two intervention schools [199]. She found that practical problems hampered the<br />
implementation of the intervention. Firstly, because of internal organisational issues the<br />
intervention was cut off funding for a certain period. Fortunately, this happened during<br />
the second part of the intervention, when the peer educators were already trained and<br />
could continue their activities. However, they missed out on the follow-up trainings. Secondly,<br />
peer educators complained that not enough time and space was allocated to their<br />
activities. Thirdly, several aspects of the planned intervention, e.g. the development of a<br />
booklet for the peer educators, were not implemented [199].<br />
The observed limited effectiveness of HIV prevention interventions for young people in<br />
sub-Saharan Africa is not responded to by extensive (published) process evaluations.<br />
Little is known about the implementation quality of interventions; in evaluation studies,<br />
ing<br />
uniquely on the implementation of interventions are even rarer; it seems that only<br />
large trials and study groups can afford to invest extensively in evaluating the process<br />
of developing and implementing HIV prevention interventions [83, 200-205]. Further-<br />
<br />
<br />
science for health interventions, a large number of journals are interested in outcome<br />
evaluations of health interventions. The limited word count that applies to most journals<br />
hinders that both evaluation types are presented together.<br />
<br />
prevention interventions, but represent a more general problem with intervention planning,<br />
budgeting and monitoring that exists in many other sectors. Therefore, we will not<br />
elaborate on this, and focus on less recognized implementation issues: participation and<br />
approach.<br />
154<br />
Kristein.indd 154 10/25/2012 8:37:56 PM
Participation<br />
HIV prevention interventions for young people often do not succeed in reaching the<br />
complete target population. In Rwanda, about 40% of potential participants did not participate<br />
in any intervention activity (paper 2: Rwandan intervention). In Kenya, one in six<br />
respondents said to have never participated (paper 7: Kenyan intervention, in annex).<br />
In Rwanda, we found that group activities are attended by three types of students. Firstly,<br />
we see that those who are at ease with their sexuality are more likely to participate.<br />
Secondly, practical considerations play their part in participation in group activities:<br />
students living in boarding schools tend to participate more. Thirdly, we identify a group<br />
of students that very consciously participates in the group activities: those who were<br />
recently sexually active, those who feel susceptible to HIV infection, those who were ever<br />
tested for HIV and those who are consciously abstaining from sexual intercourse. For in-<br />
<br />
lack of dominant predictors could equally mean that participation in individual advice is<br />
not greatly determined by pre-intervention characteristics, but by other factors occurring<br />
during the period of the intervention.<br />
This study showed that the type of activity chosen by the intervention planners has an<br />
impact on the type of participants. Therefore, in a homogenous group it is essential to be<br />
aware of the preferred activity type of the target population. In a heterogeneous group it<br />
is critical to offer a variety of activities in order to appeal to all young people involved.<br />
Another point of interest is the gender difference in participation. It seems that boys<br />
were more likely to participate in group activities, thereby suggesting the need for girlsonly<br />
spaces or activities on HIV prevention, encouraging young girls to openly discuss<br />
these topics. Since a positive sexual self-concept contributed to participation in the intervention,<br />
we recommend to include the general well-being of young people into interven-<br />
<br />
feelings, and to engage in healthy and respectful relationships. Finally, structural factors<br />
play an important role in intervention effectiveness: if the context where young people<br />
live in does not provide much perspective or support, implementing healthy behaviours<br />
is hampered.<br />
Approach: peer education<br />
The interventions we evaluated in Rwanda and Kenya used peer educators to transfer<br />
HIV prevention messages. Peer education is a popular approach: 17 of the 28 interventions<br />
in our literature review and meta-analysis used this approach (paper 1). Since<br />
many Rwandan school-going youth stay in a boarding school and only return to their<br />
families two or three times a year, they have no other option than to rely on peers or<br />
teachers for HIV/SRH information. Therefore, intuitively, peer education seems like a<br />
good strategy. However, the fact that young people need to rely on peers for information<br />
on HIV/SRH does not mean they want to rely on them. In our study, students were asked<br />
to indicate the two main channels through which they would prefer to receive information<br />
on HIV. Friends ranked sixth as a preferred source of information, preceded by radio,<br />
<br />
countries [206-209].<br />
155<br />
Kristein.indd 155 10/25/2012 8:37:56 PM
Not disregarding the capacities young people have, it is a very tall order to expect a young<br />
person – possibly discovering his/her sexuality him/herself - to act as an expert and<br />
guide, counsel, teach and advise peers on a personal, sensitive and complex issue as sexu-<br />
<br />
to young people, the notion of ‘peer’ oftentimes refers to someone of the same age. This<br />
is a very simplistic notion: even though they might be of approximately the same age, this<br />
does not mean they have a similar background, similar experiences, similar values and<br />
norms [180]. Besides personal characteristics, a peer educator’s credibility is determined<br />
by their own behaviour and by how they transmit messages [210].<br />
Peer education is an attractive tool for HIV prevention and SRH promotion, because it<br />
makes use of existing social processes and actively involves young people in the intervention.<br />
However, given its limited effectiveness, it might be necessary to re-evaluate the use<br />
and role of the peer educators. Firstly, in the Rwanda study we received reports of peer<br />
educators feeling superior to their peers. It seemed that peer education created some<br />
sort of hierarchy among the students. In personal communication with programme managers<br />
of other peer education interventions, the same issue was mentioned. The choice<br />
of peer educators, the support they receive and the monitoring of their work is essential<br />
to counteract this, and for the overall success of such interventions. Secondly, programme<br />
planners and evaluators must set realistic expectations for peer education. Peer education<br />
based on information sharing will never on its own change sexual behavior to a<br />
large extent. Yet, it can however be valuable in creating an open, positive climate around<br />
sexuality and in breaking taboos and have a long-term effect on sexual behaviour. Thirdly,<br />
while peer educators are now the centre of the intervention, informing, counseling and<br />
<br />
as focal points: beside spreading information on HIV/SRH through theatre, songs and<br />
discussions, they could be the ones who are aware of key specialists and services to<br />
which they can refer. Peer education should not be a stand-alone intervention and should<br />
be embedded in a larger strategy. Finally, peer education interventions seemingly actively<br />
involve young people in prevention efforts. However, only involving them in the implementation<br />
phase of an already developed intervention is not very participatory. True<br />
involvement goes further; young people can be involved in the needs assessment, in the<br />
set-up of the intervention, in the monitoring and in the evaluation. Their input in these<br />
phases might proof to be more valuable than in the actual implementation.<br />
6.2.2. Evaluation related factors<br />
<br />
explain the observed limited effectiveness of HIV prevention interventions for young<br />
people in sub-Saharan Africa, UNAIDS data report that “young people are leading the HIV<br />
prevention revolution” and that reductions in HIV prevalence coincide with changes in<br />
sexual behaviour among young people. Therefore, we cannot exclude that interventions<br />
do have an effect on young people’s sexual behaviour, but that evaluations do not succeed<br />
in demonstrating this effect.<br />
An overview of evaluations of HIV prevention interventions for young people in sub-Sa-<br />
156<br />
Kristein.indd 156 10/25/2012 8:37:56 PM
haran Africa (paper 1: meta-analysis) demonstrates few commonalities in study design,<br />
perhaps suggesting that there is little consensus on the optimal approach and that few<br />
studies have built upon previous knowledge in a linear way. No two studies use the same<br />
methods of analysing or reporting data, and outcome indicators are markedly diverse.<br />
<br />
analysis was far from universal. Other problems that surfaced concerned implementation<br />
of the intervention (as a result of which the evaluation does not measure the effectiveness<br />
of the intervention), comparativity of the control population, indicators used<br />
<br />
in participant retention). As Mavedzenge [164] compared a recent review on papers<br />
published between 2005 and 2008 with a review of papers published before 2005, she<br />
argues that the quality of recent studies was generally higher, “however, high quality was<br />
not universal, and this review was still hindered by poor study design and lack of analytical<br />
rigor in some evaluations.” The same observation has been made by other reviews on<br />
comparable topics [87, 91, 93, 94].<br />
This chapter deals with issues in evaluation design quality and outcome measures used<br />
to evaluate interventions.<br />
6.2.2.1. Evaluation design<br />
Evaluators mostly try to use or approximate to (clustered) randomized controlled trials<br />
(cRCT), which are considered the gold standard for demonstrating cause-and-effect relation<br />
between an intervention and an outcome. In total, worldwide, nine behavioural or<br />
structural HIV prevention interventions for all populations have been evaluated using a<br />
well-developed randomized controlled trial [84, 96, 202, 211-218]. Their use to evaluate<br />
complex, multicomponent, multilevel interventions has been questioned for several years<br />
[51, 194, 219-222].<br />
When applied to evaluate complex prevention approaches as behavioural prevention<br />
of HIV, several essential conditions of (c)RCTs are regularly compromised [221]. Firstly,<br />
study participants themselves should remain ignorant of the study arm they are attributed<br />
to. In most evaluations of HIV prevention interventions study participants are aware<br />
<br />
and generate reporting bias. Randomisation might also be compromised by the fact that,<br />
in the end, participants often decide themselves to what extent they participate in the<br />
intervention (paper 3: self-selection). Secondly, the large number of interventions and<br />
campaigns being implemented in many sub-Saharan African countries and of which it<br />
cannot always be controlled if they reach both intervention and control arm equally, even<br />
further complicates this. The condition of having a ‘naïve’ control group can rarely be ful-<br />
<br />
results from (c)RCTs may not be easily transferable, hence their utility is questionable<br />
[51, 194]. Furthermore, many evaluations seem to measure effectiveness on a relatively<br />
short term. Only one intervention was evaluated on a longer term (8 years) [223], while<br />
other evaluations did not exceed 3 years and often even did not measure effectiveness<br />
after 1 year. This observation is especially relevant given the long pathway targeted in<br />
public health interventions (increasing knowledge, changing attitudes, improving skills,<br />
157<br />
Kristein.indd 157 10/25/2012 8:37:56 PM
generating behavioural intention and then changing sexual behaviour and HIV incidence).<br />
Changes in sexual behaviour after interventions might pass through social and<br />
institutional changes or follow long causal pathways before they succeed in changing<br />
<br />
sexual behaviour and HIV incidence might not be observed on the short term, they may<br />
still occur in a later stage.<br />
An additional challenge of evaluation studies, not only (c)RCTs, is making sure the evalu-<br />
<br />
<br />
<br />
and 30% loss to follow-up (based on an incidence rate of 1.6%) [211]. It is possible that<br />
the intervention did reduce HIV incidence, but by less than 50%, making it not possible<br />
<br />
reduction of 25% in HIV incidence would already be of great value to public health, this<br />
would require an even larger sample size. For example, a decrease in HIV incidence<br />
from 0.5% to 0.4% would require 72,307 persons in each study arm [225]. Especially in<br />
dence<br />
requires an enormous sample size, and many trials are underpowered because of<br />
estimation or recruitment problems [96, 185]. Behavioural outcomes are more prevalent<br />
and require smaller, but still considerable, sample sizes: in our evaluation of the Rwanda<br />
intervention (paper 2) we calculated that for logistic regression models, a minimum of<br />
1,241 observations are required to detect an adjusted odds ratio of 2 or more with 80%<br />
<br />
prevalence of the outcome variable and no changes over time in the control group.<br />
Problems with the correct use of evaluation designs might lead to false conclusions,<br />
<br />
effects. Even though (c)RCTs are still considered by many to be “the cornerstone of the<br />
evidence needed to support implementation of HIV prevention programmes” [185] and<br />
“will remain the most rigorous and convincing intervention study design” [96], we follow<br />
Laga [194] when she “advocates for realism and pragmatism when it comes to generating<br />
more convincing evidence to guide prevention programming” and proposes “plausibility<br />
designs” as an alternative, an approach followed by the latest meeting of the UNAIDS<br />
Programme Coordinating Board (June 2012). Such designs rely on a number of information<br />
sources from mixed methods - including monitoring, process evaluation, qualitative<br />
methods, modeling, population based surveys, quasi-experimental designs – to build a<br />
plausible case for intervention effectiveness.<br />
6.2.2.2. Outcome measures<br />
To measure the effectiveness of HIV prevention interventions, studies rely on two main<br />
types of outcome indicators: biological and behavioural endpoints. Since the ultimate<br />
objective of HIV prevention interventions is to reduce incidence of HIV, this seems to be<br />
the best outcome to use.<br />
The use of such a biological endpoint is rare. In our meta-analysis (paper 1), two studies<br />
158<br />
Kristein.indd 158 10/25/2012 8:37:57 PM
were included that measured HIV status [211, 212]. Since then three additional studies<br />
were published: one evaluated a multicomponent HIV prevention intervention for young<br />
people in Zimbabwe [226], one updated the evaluation of Ross [96] with a long-term<br />
impact study [223] and one presented results of a cash transfer intervention for school<br />
girls [84]. We are aware of one other trial in South Africa and Tanzania that assesses the<br />
impact of a multicomponent behaviour change intervention for young people, but of<br />
which the results of the biological endpoint are not yet published [227, 228].<br />
Of the ones studied, no IEC intervention, even though well designed and implemented,<br />
succeeded in causally linking a reduction of HIV incidence to the intervention (paper 1:<br />
-<br />
<br />
<br />
incidence. Doyle [223] hypothesized that the impact of the intervention on biological<br />
endpoints would increase over time, but an evaluation eight years post-intervention did<br />
<br />
As the previous section demonstrated, using such biological outcomes requires very<br />
large sample sizes, making it complex and expensive. Sometimes, other STIs are used as<br />
substitutes for HIV incidence. However, a good biological substitute would have to share<br />
characteristics as prevalence level, stage of the epidemic, risk groups and behaviour and<br />
probability of transmission with HIV which is rarely the case [229, 230].<br />
As an alternative, many evaluations rely on self-reports of sexual behaviour. Using this<br />
strategy many studies have been confronted with discrepancies between reported sexual<br />
<br />
Shiri trial is that none of the four girls who were pregnant reported that they had sex<br />
in the questionnaire [202]. In a study in the UK, more than 10% of young adults with a<br />
<br />
in the 12 months before STI testing [231]. Sison [232] found that women with genitourinary<br />
symptoms may over-recall frequency of sexual behaviour compared to women<br />
without these symptoms. In a study among Zimbabwean women, 12% of the participants<br />
that tested positive for recent semen exposure reported no sex in the previous two days<br />
[233]. These discrepancies are caused by recall bias and social desirability bias, depending<br />
on the timeframe studied (e.g. lifetime recall versus last month recall), the interview<br />
mode (e.g. face-to-face, self-administered, computer-assisted) and the study population<br />
[234, 235]. These problems have been extensively studied and documented [236-240],<br />
and will not be discussed here.<br />
A more overlooked problem to evaluation research, is the choice and interpretation of<br />
outcome measures. In our and many other evaluation studies, internationally recognized<br />
indicators are used and interpreted as follows: ‘condom use at last sex’ (if this increases,<br />
the intervention is considered successful), ‘recent sexual activity’ (if this decreases,<br />
the intervention is considered successful), or ‘number of sexual partners in the last 6<br />
months’ (if this reduces, the intervention is considered successful). In using these indica-<br />
<br />
159<br />
Kristein.indd 159 10/25/2012 8:37:57 PM
use, abstinence, other STIs) and D is the duration of infectiousness (stage of HIV infection,<br />
treatment). This formula clearly shows that it is the combination of these aspects<br />
that determines the risk of infection, and not each aspect in itself. Measuring the use of<br />
condoms or the number of sexual partners separately does not give a good indication of<br />
the risk for HIV infection. This could explain why studies trying to predict HIV/STI infection<br />
by using individual indicators, e.g. condom use, show weak correlations [211, 212,<br />
242-246]. Furthermore, the indicators mostly used, measure proportions of behaviour,<br />
ignoring differences in absolute numbers. Someone who reports to use condoms ‘most<br />
of the time’ and has had 10 sexual encounters is at less risk than someone who uses condoms<br />
‘most of the time’ during 100 sexual encounters. Neither do these indicators take<br />
into account the position of the individual in the sexual network [229].<br />
For example, the indicator ‘condom use at last sex’ might hide an increase in young<br />
people having equal, respectful relationships who decided not to use a condom after a<br />
negative HIV test. Or why would having a large number of sexual partners be negative<br />
for one’s sexual health if the sexual intercourse were consensual and protected? It is<br />
likely that people make risk assessments and adapt their behaviour accordingly. This<br />
may result in high condom use with perceived high risk partners and in low condom use<br />
with perceived low risk partners. Hence, using a condom use indicator or a sexual activ-<br />
<br />
<br />
alcohol use and sexual self-concept, but not for relational and contextual characteristics.<br />
<br />
exclude the possibility that interventions do have an effect, but that this effect is not accurately<br />
measured in the evaluation. Understanding the HIV risk of young people necessitates<br />
that their risk behaviours are conceptualized as mutually dependent, and are measured<br />
as such [225]. While this was a topic for discussion in the beginning of this century<br />
[229, 237, 247], it faded to the background of methodological debate in recent years. The<br />
recent focus on sexual networks and types of sexual relationships (particularly concur-<br />
<br />
248]. We suggest two alternatives for the currently used indicators. Firstly, giving preference<br />
to scales instead of dichotomous variables, allowing for more nuanced reporting on<br />
risks. Secondly, developing composite risk scores, including exposure, transmission and<br />
infectiousness for measuring real risk for HIV infection among young people [247].<br />
6.3. Limitations<br />
<br />
Here we will discuss limitations related to the overall study set-up.<br />
<br />
school (often boarding school) students. School attendance in Rwanda is low. The gross<br />
enrolment rate (number of pupils enrolled in a given level of education related to the age<br />
-<br />
160<br />
Kristein.indd 160 10/25/2012 8:37:57 PM
tion is 143, which drastically reduces for lower secondary education (43) and higher<br />
secondary education (32 4 ) [111, 112]. In a study among 285 students of the last year<br />
of secondary education in a selection of four schools in the same Rwandan district (not<br />
presented in this thesis), we found that, compared to the general population, more respondents<br />
have running water at home or in the community (55.4% vs. 35.6% in general<br />
<br />
indicates that overall this group is better off than the average Rwandan youth [249].<br />
<br />
in sub-Saharan Africa. Nevertheless, we found some striking similarities in intervention<br />
<br />
validity of our studies.<br />
Second, while a process evaluation was undertaken by a master student in two Rwandan<br />
<br />
<br />
process analyses as a weakness of HIV prevention interventions, and as a possible explanation<br />
of why interventions do not seem to learn from each other [250].<br />
Third, one of the main points of critique on HIV prevention interventions for young people<br />
in sub-Saharan Africa is that the content is too much focussed on HIV, while sexual behaviour<br />
is determined by many other factors. These factors and their causal pathways to<br />
<br />
mailbox study (paper 4) did unveil several critical factors, additional qualitative research<br />
would have been able to identify more factors and to qualify their causal pathways.<br />
Furthermore, qualitative research could also have been used for other aspects of the<br />
doctoral study, such as the process of implementation of the intervention, narratives of<br />
students’ conversations or thematic analysis of drama plays and songs of peer educators.<br />
Hence, we acknowledge that the evidence-base of the conclusions and recommendations<br />
of this doctoral thesis mainly consists of quantitative effectiveness studies, while a<br />
broader evidence-base would have been preferable.<br />
Fourth, while this could also be considered a strength, we want to discuss the multicultural<br />
aspect of our research in the limitations section. Working mainly in Rwanda with<br />
Rwandan researchers and students has proven enriching, but at the same time, challeng-<br />
<br />
development: we used a standardized questionnaire that was developed in French,<br />
translated into Kinyarwanda, back translated and tested among a group of students. Nev-<br />
<br />
Rwandan young people. Second, we collected data using multiple choice, often with 5- or<br />
7-point Likert scales. We found that the great majority of students always entered the extreme<br />
values (completely disagree or completely agree). Possibly, more nuanced answers<br />
are considered unclear or vague, and a clear opinion is preferred. Third, while a Rwandan<br />
4 For each 100 young people that are, given their age, expected to be in higher secondary education, 32 are actually enrolled.<br />
161<br />
Kristein.indd 161 10/25/2012 8:37:57 PM
esearcher did verify our analysis and interpretation of the results, we cannot exclude<br />
that we analysed and interpreted the results from a western point of view, overlooking<br />
<br />
6.4. Conclusions, recommendations and directions for further<br />
research<br />
HIV prevention interventions for young people in sub-Saharan Africa show disappointing<br />
results in reducing sexual risk behaviour and HIV incidence. Even though recent UNAIDS<br />
data indicate a decreasing HIV incidence among young people in a number of highly<br />
affected countries, it remains high and effective interventions are an urgent priority.<br />
Research should continue to focus on how to develop, implement and evaluate effective<br />
<br />
observed limited effectiveness: interventions might be inherently ineffective (intervention<br />
design), they might be poorly implemented (participation, approach) or the evaluation<br />
may not be capable of measuring the actual effectiveness (design, power, outcome<br />
measures).<br />
enced<br />
by countless interacting factors on different levels - interventionists and evaluators<br />
are, as Delor [137] puts it, prone to two pitfalls: “retreating into vagueness under the<br />
pretext of complexity and, on the contrary, making a conquest at the expense of causal<br />
reduction” (i.e. aiming to contribute a phenomenon to one cause while, in fact, is has several<br />
causes). In the interventions included in our literature review and the interventions<br />
we evaluated, we found evidence of such causal reductionism both in the intervention<br />
design (interventions focused on HIV knowledge, attitudes and skills and largely ignored<br />
inter-personal, environmental and social and cultural factors) and in intervention out-<br />
<br />
<br />
of young people, is a complex issue, and requires complex interventions and complex<br />
evaluations.<br />
timately,<br />
we cannot indicate which factor is most likely to be responsible for the observed<br />
limited intervention effect on sexual behaviour and HIV incidence: comparing different<br />
intervention designs is only useful when the interventions are well implemented and a<br />
good evaluation strategy is applied, while an effectiveness evaluation is only meaningful<br />
if the intervention is well designed and implemented. We recommend further research<br />
on three levels.<br />
<br />
<br />
the intervention. Given the (often complex) causal pathway that interventions aim to<br />
<br />
<br />
measure and attribute to an intervention. It could, for example, be possible that the<br />
162<br />
Kristein.indd 162 10/25/2012 8:37:57 PM
ecently observed reduction in HIV incidence in young people is a result of two decades<br />
of implementing HIV prevention interventions in the severely affected countries, but cur-<br />
searchers<br />
should invest in developing alternative, innovative, evaluation approaches that<br />
<br />
tion<br />
should not be limited to outcome effectiveness, but should parallel the intervention<br />
process, including the essential phases of intervention development and implementation.<br />
<br />
interventions’ effectiveness requires a creative combination of alternative approaches<br />
(“combination evaluation”), studying plausibility of effectiveness, rather than probability:<br />
process analysis and monitoring should be triangulated with (quasi-)experimental<br />
designs and other information sources as e.g. population-based surveys and statistical<br />
modeling [194]. The latter can also assist programme developers and evaluators in understanding<br />
the expected effect of the intervention on HIV incidence.<br />
Since the use of biological endpoints is costly and not always appropriate, many evaluations<br />
will continue to rely on self-reported sexual behaviour to measure intervention<br />
effectiveness. Too often, these sexual behaviours are extracted from their context and<br />
measured in single variables. Complementing these indicators with newly developed<br />
contextualized, composite sexual behaviour measures is essential to measure the real<br />
risks young people are taking, and hence, the true effectiveness of interventions. Composite<br />
indicators should include three aspects: exposure (relationship and partner<br />
characteristics), transmission (type of sex and protective measures) and infectiousness<br />
(HIV infection and stage of infection of the partners). Such indicators can be developed<br />
in relatively small-scale studies, informed by qualitative research, measuring both sexual<br />
behaviour and HIV/STI status. The use of existing datasets including all three aspects of<br />
risk for HIV infection can be used to test if combined indicators better predict HIV/STI<br />
status.<br />
Research into structural evolutions might shed light into the long-term effectiveness of<br />
HIV prevention interventions. These evolutions include changes in HIV treatment and<br />
societal changes as gender empowerment, poverty alleviation, globalization and technological<br />
evolutions [251]. Societal changes and changes in the natural evolution of the HIV<br />
epidemic might interact with the intervention effect. A study by Bajos [252] about the<br />
evolution of sexual behaviour in France indicated how much this evolution is determined<br />
by changes in nuptiality and broader social and structural factors, more than by public<br />
health interventions. For example, changes observed in HIV incidence and sexual behaviour<br />
of young people in sub-Saharan Africa can be a long-term result of HIV prevention<br />
intervention and awareness campaigns, but might also be linked to the natural evolution<br />
of the epidemic or to societal changes, such as women’s emancipation. Given that the<br />
HIV epidemic has been present for three decades and that there are a large number of<br />
interesting data sources available (e.g. DHS, DSS, globalization indicators,…), it might be<br />
feasible to link societal changes to changes in HIV prevalence and estimate the relative<br />
effect of public health interventions.<br />
Secondly, the intervention: young people’s vulnerability is determined by different fac-<br />
163<br />
Kristein.indd 163 10/25/2012 8:37:57 PM
tions.<br />
Existing data should be used, and new information needs to be collected, on what<br />
determines sexual behaviour of young people and how. Correcting what Bertozzi [250]<br />
<br />
ability<br />
in a single behavioural intervention, research into the importance of the factors<br />
<br />
<br />
people’s sexual behaviour and HIV prevalence. This is essential both for intervention<br />
development (what are the determining factors of risky sexual behaviour and how can<br />
mediate<br />
determinants of sexual behaviour). As Laga [194] puts is: “the goal of a better<br />
articulation of [the programme’s] impact pathways is to assist planners and evaluators<br />
in simplifying the complex reality without becoming simplistic”. By studying these causal<br />
pathways, it is possible that shifts in paradigms might occur, for example from an individual-focused<br />
approach to a more community-centered approach.<br />
Making these pathways explicit also relates to the use of theory in HIV prevention interventions.<br />
While many interventions report the use of behavioural theories to guide the<br />
intervention or evaluation, few reports are made on why a particular theory was chosen,<br />
how it was used and what the added value of this theory was. More research should be<br />
done into the practical use of behavioural theories for HIV prevention interventions for<br />
young people, taking into account the complexity of sexual behaviour (including determinants<br />
on different levels). Only this way, knowledge can be cumulated and intervention<br />
effectiveness can increase.<br />
<br />
tervention<br />
deserves a central place in HIV prevention – e.g. start with a situation analysis<br />
<br />
intervention including key stakeholders [253], and taking into account past, ongoing and<br />
planned interventions. The interventions included in our literature review and metaanalysis<br />
did not seem to take extensive time to optimize their intervention before it was<br />
implemented and tested. The interventions presented in this study are dominated by the<br />
IEC approach, spreading information and sensitizing young people, sometimes complemented<br />
with service provision, to come to behaviour change, and hence HIV incidence<br />
reduction. Project-based IEC approaches are just one of many possible interventions, and<br />
researchers and intervention managers should experiment with alternative approaches.<br />
Piot [254] expresses as follows: “Any explanation based on a single risk factor for this<br />
very high HIV endemicity ignores the realities of complex societies and human behaviour.<br />
A complex and diffuse epidemic should be addressed by an equally nuanced and<br />
multipronged response”. It is possible that such complex interventions are already taking<br />
<br />
<br />
The intermediate and ultimate objectives of interventions should be clear and neutral.<br />
164<br />
Kristein.indd 164 10/25/2012 8:37:57 PM
Ultimately, interventions want to reduce HIV incidence. If they plan to do this through<br />
the intermediary objective of sexual behaviour change, they must be sure to focus on the<br />
most relevant behaviours. If awareness raising is the intermediary objective, the pathway<br />
to HIV incidence reduction is longer, and no immediate effects on sexual behaviour<br />
<br />
abstinence, or the reduction of the number of partners, intervention planners might be<br />
(unconsciously) sending messages to young people with a moralizing tone. Therefore we<br />
would argue to study the use of an alternative, less judgmental, and more empowering,<br />
intervention outcome in HIV prevention interventions for young people in sub-Saharan<br />
Africa: making young people sexually competent, stimulating them to be sexually responsible,<br />
making sure sexual intercourse is characterised by absence of coercion and<br />
regret, autonomy of decision, and use of a reliable protection method [193]. A factor that<br />
deserves particular attention is gender equality, since gender norms and roles strongly<br />
cial<br />
in all phases of the intervention. Essential in this process is uncovering and questioning<br />
the prevailing gender norms of the study population, and the importance of striving<br />
for mutually respectful (sexual) relationships.<br />
Young people in the same type of relationship with the same type of partner might take<br />
different decisions concerning protective measures. A possible confounding factor in<br />
the association between individual behaviour (e.g. condom use) and type of relationship<br />
is personality. Risk taking is deeply rooted in an individual’s personality – varying<br />
from consistent risk seeking to consistent risk avoiding - with sensation-seeking as a key<br />
<br />
helps explain how decisions are made concerning young people’s sexual health.<br />
Thirdly, the implementation: interventions should be regularly monitored and adjusted if<br />
necessary, as an integral part of the implementation and evaluation process. A large number<br />
of interventions report implementation problems. When such implementation errors<br />
occur, the evaluation does not longer measure if the designed intervention is effective<br />
and is no longer valuable. Reports on implementation, and how to overcome implemen-<br />
<br />
Interventions do not seem to reach the complete target population, because of their<br />
choice for a certain implementation approach (e.g. peer education) and certain activities<br />
(e.g. group activities). In the preparatory phase of the intervention, intervention planners<br />
should study the preferred information sources and activities of the target population<br />
and adapt the intervention accordingly. The choice of an intervention strategy should be<br />
done in concordance with other activities taking place in the region.<br />
In order to increase collaboration between and among intervention planners, researchers<br />
and evaluators [51, 194, 250], we propose the development of a central online<br />
repository that gathers information on interventions (e.g. content, set-up), monitoring<br />
and process evaluations (e.g. implementation issues and solutions) and effectiveness<br />
evaluations (e.g. evaluation designs, outcome measures) [258]. This would increase comparability<br />
of interventions and would allow people to build upon previous experiences.<br />
165<br />
Kristein.indd 165 10/25/2012 8:37:57 PM
Hence, such repository would have a dual functionality: collect evidence on effective HIV<br />
prevention interventions and guide intervention planners and evaluators in their work<br />
towards more quality, uniformity and comparability. Several organizations tried to address<br />
some of these aspects, such as UNAIDS’s minimum quality standards for or their<br />
trol’s<br />
compendium of USA-based HIV prevention interventions with evidence of effective-<br />
<br />
[262], and USAID’s handbook of indicators for HIV programmes [263] or their database<br />
on US international aid [264]. However, to our knowledge a comprehensive repository,<br />
encompassing evidence on and guidelines for the full intervention process (from design<br />
to evaluation) does not yet exist for young people’s HIV or sexual health related interventions<br />
in sub-Saharan Africa. To be comprehensive, such repository should also not be<br />
<br />
evidence collected by non-governmental organizations, which form a large part of existing<br />
evidence in developing countries. Initiatives as Programme Science, that try to close<br />
aged<br />
[265-268].<br />
While such repository might help in making implementation information more easily<br />
available, researchers should be encouraged to effectively set-up, implement and report<br />
more process evaluations. Therefore, funding needs to be made available and donors<br />
have to be convinced that this is an integral part of intervention research. Furthermore,<br />
aging<br />
qualitative publications of this particular type of research. Alternatively, by in-<br />
<br />
intervention, the implementation and the effectiveness in one manuscript, which would<br />
be a large step forward.<br />
-<br />
<br />
of a vaccine or a cure, the focus remains on preventing HIV transmission. By analysing<br />
existing data on the determinants of the complex sexual behaviour of young people and<br />
their causal pathways, and by gathering additional information, researchers should make<br />
unprecedented efforts to develop alternative and more effective interventions. Accepting<br />
the complexity of sexual behaviour of young people, also means dealing with a consider-<br />
<br />
evaluation are to be considered inseparable: results of effectiveness evaluations should<br />
be considered of little use if no information is provided on the intervention or its implementation<br />
and vice versa. Since the evaluation should be an integral part of the intervention,<br />
intervention managers and evaluators need to work in close collaboration, without<br />
suspicion. Donors have to accept that a complex intervention cannot be designed beforehand,<br />
but requires a process approach that maps risky behaviours, dominant predictors,<br />
causal pathways and key stakeholders. This pre-intervention research should be considered<br />
a fundamental part of the intervention and donors should be aware that effectiveness<br />
depends on this phase, hence funding should be made available. In this process,<br />
reality, and not morality, should be at the forefront: young people should be approached<br />
166<br />
Kristein.indd 166 10/25/2012 8:37:57 PM
as responsible individuals who are able to make their own decisions and need to be<br />
made competent to ensure their choice to (not) have sexual intercourse is made autonomous,<br />
without coercion or regret and with the necessary in-depth knowledge of risks.<br />
This requires a change in attitudes of all stakeholders involved. A complex intervention<br />
approach also means that the intervention is monitored and can be changed during its<br />
<br />
<br />
responsibility to make innovative approaches public, even though they might not be<br />
<br />
reports on intervention development and implementation. We are convinced this can be<br />
done if all parties remain conscious of the ultimate objective; eradicating HIV among the<br />
important and vulnerable population of young people.<br />
<br />
167<br />
Kristein.indd 167 10/25/2012 8:37:57 PM
Key recommendations for establishing more effective HIV prevention<br />
interventions:<br />
- accept the complexity of HIV and sexual and reproductive health of<br />
young people: investment in a thorough baseline and needs assessment<br />
for the development of population- and context specific interventions is<br />
crucial;<br />
- map the causal pathways through which the intervention aims to reach<br />
its outcomes;<br />
- beware of a (implicit, unconscious) moralizing tone in prevention<br />
messages when focusing on specific risk behaviours;<br />
- align the intervention with past, existing and future<br />
activities/campaigns/interventions in the same field;<br />
- allow for flexibility in intervention design, implementation and<br />
evaluation based on regular monitoring of the intervention;<br />
- consider the intervention development, implementation and evaluation<br />
as an inseparable whole;<br />
- combine different evaluation methods to study the probability and<br />
plausibility of effectiveness, as well as the process of development and<br />
implementation of the intervention.<br />
Additionally, in order to contribute to more effective interventions, researchers<br />
should study:<br />
- the development of more appropriate, contextualized indicators to<br />
adequately assess sexual risk taking;<br />
- factors determining vulnerability to HIV infection among young people<br />
and their inclusion in applicable theoretical frameworks;<br />
- societal evolutions influencing sexuality on a large scale.<br />
These recommendations can only be implemented, or even considered, if the<br />
context in which interventions are planned, implemented, evaluated and studied<br />
changes as well. This means that the funding climate should be sensitized about<br />
the importance of pre-intervention research, close monitoring and evaluation,<br />
and the necessity of flexible planning and evaluation. Researchers should get<br />
more opportunities to publish implementation research, preferable in<br />
combination with research on intervention development and effectiveness.<br />
168<br />
Kristein.indd 168 10/25/2012 8:37:57 PM
Summary<br />
Introduction<br />
Worldwide, on average, 2,500 young people (15-24 years) get infected with HIV every<br />
<br />
in a regional HIV prevalence of 1.4% in young men and 3.3% in young women. Since<br />
no cure or vaccine is available, reducing sexual risk behaviour in this group is crucial in<br />
tackling the epidemic.<br />
Objectives and methods<br />
The general objective of this doctoral study was to improve the effectiveness of HIV<br />
-<br />
<br />
the population of young people in sub-Saharan Africa, given that there were indications<br />
that they were not very effective. This was done through a systematic literature review<br />
and meta-analysis. A study protocol described procedures for the literature search strategy,<br />
the inclusion criteria, the data to be extracted, the extraction procedure and the data<br />
analysis methods.<br />
Secondly, we aimed to evaluate a peer-led school-based HIV prevention intervention in<br />
Rwanda, to get more hands-on insight into how such interventions are developed, implemented<br />
and evaluated. We used a nonrandomized controlled trial. In fourteen schools<br />
(eight intervention and six control schools) 1,950 students completed a standardized<br />
questionnaire at baseline. We undertook two additional measurements, six and twelve<br />
months in the intervention. Statistical analyses were done in Stata, SPSS and SAS, using<br />
propensity score matching, generalized estimation equations and multivariate regression<br />
analysis.<br />
<br />
objective aimed to identify and study more in-depth the possible reasons for this limited<br />
effectiveness of HIV prevention interventions for young people in sub-Saharan Africa.<br />
This objective mainly relied on studies taking place in Rwanda. First, participation in the<br />
intervention was assessed by identifying baseline characteristics of respondents that<br />
could possibly predict participation in the intervention. To that end, we applied multinomial<br />
and linear regression models with backward variable selection in Stata to the longitudinal<br />
data collected for the effectiveness evaluation. Second, we studied determinants<br />
of young people’s sexual behaviour. To that end, we used a qualitative ‘mailbox study’<br />
that assessed determinants of young people’s sexual risk behaviour. This study assessed<br />
the spontaneous thoughts of Rwandan adolescents on sexuality, allowing us to identify<br />
<br />
schools in Rwanda and students were invited to write about their ideas, secrets, wishes,<br />
desires and fears on sexuality and relationships. Analysis was done in NVivo9. Further-<br />
169<br />
Kristein.indd 169 10/25/2012 8:37:57 PM
literature review that compared HIV status and sexual behaviour of out-of-school and<br />
in-school youth. Third, using a systematic literature, we assessed the theoretical underpinnings<br />
of existing HIV prevention interventions for young people in sub-Saharan Africa.<br />
Results<br />
The literature review and meta-analysis showed limited effectiveness of HIV prevention<br />
<br />
reduce sexual activity, and condom use only increased notably among males, but remained<br />
at a low level. Furthermore, this study demonstrated a paucity in evaluated HIV<br />
prevention interventions for young people in sub-Saharan Africa. The evaluation study in<br />
vention<br />
did succeed in increasing young people’s perception that AIDS is a serious disease<br />
and reduced self-reported enacted stigma. However, multivariate analyses showed<br />
no changes in sexual behaviour of the intervention group in neither country. Dose-effect<br />
analyses found that active participants did not change their behaviour more than passive<br />
participants.<br />
<br />
large number of potential participants never participated in intervention activities: in the<br />
Rwandan intervention, over 40% did not participate in any of the intervention activi-<br />
<br />
at ease with their sexuality, those consciously seeking information, and those who seek<br />
to pass time, were more likely to participate in the intervention. For participation in an<br />
<br />
occurring during the intervention and not pre-intervention characteristics are crucial.<br />
Secondly, the intervention might not deal with the right issues. Letters written by Rwandan<br />
young people in the qualitative mailbox technique, revealed a large number of determinants<br />
of sexual behaviour, ranging from personal factors (e.g. puberty, knowledge)<br />
over inter-personal factors (e.g. type of sexual relationships) and environmental factors<br />
(e.g. school) to social and cultural factors (e.g. norms, economic factors, gender), demonstrating<br />
the complexity of sexual behaviour of young people. The letters found a dominance<br />
of two types of sexual relationships: experimental sex taking place unprepared<br />
among same-age youth and driven by sexual desire, and transactional sex, where young<br />
people have sex with an (often older) partner in exchange for money or goods and driven<br />
by peer pressure to possess the right material goods. While these types of relationships<br />
and contextual factors put young people at risk for HIV infection, they were not dealt<br />
with in the intervention. The important role of structural factors is further shown in the<br />
study on the role of education. We found that in-school youth have less HIV and demonstrated<br />
less risky sexual behaviour than out-of-school youth. However, school attendance,<br />
especially in less globalized regions, can also alienate pupils, or create social division, as<br />
in the formation of elites with the means of engaging in much partner concurrency.<br />
170<br />
Kristein.indd 170 10/25/2012 8:37:57 PM
Thirdly, three behavioural theories were found to be at the basis of most interventions:<br />
social cognitive theory, theory of reasoned action/planned behaviour and health belief<br />
model. While such theories could provide guidance in simplifying this complex behaviour<br />
and in identifying key determinants, their focus remains on individual cognitions, such as<br />
HIV related knowledge and attitudes, simplifying sexual behaviour too much. To face the<br />
complexity of young people’s sexual behaviour, interventions often resort to causal reductionism<br />
and simple, often (unconsciously) moralising messages. Thereby they ignore<br />
<br />
behaviour.<br />
Discussion and conclusion<br />
Our studies observed little effectiveness of HIV prevention interventions for young<br />
people in sub-Saharan Africa. We discuss two groups of factors that may be accountable<br />
<br />
too much on cognitions on the individual level, ignoring other determinants of sexual<br />
behaviour, making it possible that they are doomed from the outset, simply because it is<br />
munity<br />
norms and social and cultural factors. Furthermore, interventions often (unconsciously)<br />
send moralizing messages, sometimes ignoring the reality of young people’s<br />
sexual behaviour and hence, ignoring to focus on their most risky sexual behaviours.<br />
Interventions are also confronted with implementation issues, resulting in problems to<br />
reach the target population and in maladapted intervention approaches.<br />
The second group of factors is situated on the level of the evaluation. Randomized controlled<br />
trials are considered the gold standard for determining cause-and-effect relationships.<br />
However, their use in measuring the effectiveness of HIV prevention interventions<br />
on sexual behaviour is often compromised by the complexity of the real life situation<br />
in which these interventions take place. The long causal pathway in changing sexual<br />
<br />
changes to the intervention. While the ultimate objective of the interventions is to reduce<br />
<br />
necessary to measure changes in HIV incidence. Therefore, evaluators often rely on selfreported<br />
sexual behaviour. We argue that the indicators currently used to measure this<br />
<br />
the context of the relationship and network in which they take place. It is possible that<br />
interventions do change sexual behaviour, but that these changes are not observed due to<br />
<br />
We recommend further research on three levels. Firstly, the evaluation: alternative<br />
evaluation designs should be formulated, combining different evaluation approaches<br />
mirroring the intervention process (“combination evaluation”), and studying plausibility<br />
of effectiveness, rather than probability. In order to adequately measure sexual risk,<br />
171<br />
Kristein.indd 171 10/25/2012 8:37:58 PM
composite contextualized indicators have to be developed combining aspects of transmission<br />
(including relational characteristics), exposure and infectiousness. Secondly, the<br />
intervention: by analysing existing data on the determinants of this complex behaviour<br />
and their pathways, and by gathering additional information, researchers should make<br />
unprecedented efforts to develop more effective interventions. Interventions should be<br />
vention<br />
planning: the situation analysis and needs assessment. Thirdly, the implementation:<br />
monitoring interventions is essential in understanding their effectiveness. Evalu-<br />
<br />
importance of making the processes of intervention development and implementation<br />
publicly accessible, in order for others to learn from successes and failures.<br />
In conclusion, we can state that complex problems require complex interventions and<br />
complex evaluations. Accepting this complexity means dealing with a considerable de-<br />
<br />
and implementation is feasible if all parties involved (researchers, intervention manag-<br />
<br />
and remain conscious of the ultimate objective; eradicating HIV among the important<br />
and vulnerable population of young people in sub-Saharan Africa.<br />
172<br />
Kristein.indd 172 10/25/2012 8:37:58 PM
Samenvatting<br />
Inleiding<br />
Wereldwijd worden dagelijks 2500 jongeren (15-24 jaar) besmet met hiv; bijna 80% van<br />
deze infecties vindt plaats in sub-Sahara Afrika. Dit weerspiegelt zich in een regionale<br />
hiv-prevalentie van 1,4% bij jonge mannen en 3,3% bij jonge vrouwen. Omdat er op korte<br />
termijn geen effectief vaccin of geneesmiddel verwacht wordt, blijft het voorkomen van<br />
besmetting essentieel. Verminderen van seksueel risicogedrag bij jongeren staat hierbij<br />
centraal.<br />
Doelstellingen en onderzoeksmethoden<br />
De algemene doelstelling van dit doctoraatsonderzoek was het verhogen van de effectiviteit<br />
van hiv-preventie-interventies voor jongeren in sub-Sahara Afrika. Daartoe formu-<br />
<br />
van deze interventies voor jongeren in sub-Sahara Afrika bestuderen; dit omdat er<br />
aanwijzingen waren dat ze slechts beperkt effectief zijn. We ontwikkelden een studieprotocol<br />
voor een systematische literatuurstudie en meta-analyse waarin zoekstrategie,<br />
inclusiecriteria, te extraheren gegevens, extractieprocedure en de methode voor dataanalyse<br />
beschreven werden.<br />
Ten tweede evalueerden we een hiv-preventie-interventie in secundaire scholen in<br />
Rwanda, om een concreter inzicht te krijgen in hoe zulke interventies worden ontwikkeld,<br />
geïmplementeerd en geëvalueerd. Beide interventies maakten gebruik van ‘peer<br />
educatie’. De effectiviteit werd gemeten via een niet-gerandomiseerde longitudinale gecontroleerde<br />
studie: Voor de start van de interventie vulden 1950 leerlingen in veertien<br />
secondaire scholen (acht interventie- en zes controlescholen) een vragenlijst in. Tijdens<br />
de interventie, op zes en twaalf maanden, werden nogmaals vragenlijsten afgenomen.<br />
Analyse werd gedaan in Stata, SPSS en SAS.<br />
Terwijl de vorige doelstellingen de beperkte effectiviteit van de interventies aantoon-<br />
<br />
redenen hiervoor. Het bereik van de Rwandese interventie werd bestudeerd door te<br />
onderzoeken of bepaalde factoren een deelname konden voorspellen. Hiervoor werden<br />
in Stata multinomiale en lineaire regressiemodellen toegepast op de longitudinale data<br />
verzameld voor het evaluatieonderzoek. Vervolgens keken we naar de determinanten<br />
van seksueel gedrag van jongeren. Een kwalitatieve ‘brievenbusstudie’, waarbij Rwandese<br />
jongeren in vijf secondaire scholen werden gevraagd om spontaan verhalen te<br />
schrijven, vragen te stellen en gedachten te delen over seksualiteit en relaties, maakte<br />
<br />
<br />
structurele factor: onderwijs. Een literatuuronderzoek vergeleek de hiv-status en het seksueel<br />
gedrag van schoolgaande en niet-schoolgaande jeugd in Oost- en Zuidelijk Afrika.<br />
173<br />
Kristein.indd 173 10/25/2012 8:37:58 PM
Tenslotte onderzochten we de theoretische onderbouw van hiv-preventieprogramma’s<br />
voor jongeren in sub-Sahara Afrika, gebruik makend van de bestaande literatuur.<br />
Resultaten<br />
De literatuurstudie en meta-analyse toonden aan dat hiv-preventie-interventies het<br />
seksueel gedrag (leeftijd bij eerste seksueel contact, aantal partners en recente sek-<br />
<br />
hiv-incidentie niet daalt. Enkel condoomgebruik bij mannen lijkt toe te nemen, hoewel<br />
het onvoldoende blijft. Verder toonden de studies aan dat er een duidelijk gebrek is aan<br />
kwaliteitsvolle evaluaties van hiv-preventie-interventies.<br />
Ook de evaluatiestudie in Rwanda bevestigde dat het verminderen van seksueel risicogedrag<br />
bij jongeren uiterst moeilijk is. Hoewel de Rwandese interventie ervoor zorgde<br />
dat meer jongeren aids als een ernstige ziekte gingen beschouwen en dat gerapporteerd<br />
stigma daalde, bleek uit de multivariate analyse dat het seksueel gedrag niet veranderd<br />
was. Bijkomende analyses die actieve deelnemers vergeleken met passievere deelnemers<br />
veranderden de conclusies niet.<br />
Mogelijke redenen voor deze waargenomen beperkte effectiviteit werden onderzocht.<br />
Ten eerste, stelden we vast dat een groot aantal potentiële deelnemers nooit deelnam aan<br />
de interventieactiviteiten: in Rwanda nam meer dan 40% van de potentiële deelnemers<br />
<br />
<br />
jongeren die comfortabel kunnen communiceren over (hun) seksualiteit, jongeren die<br />
bewust zoeken naar informatie, en jongeren die proberen de tijd te doden. Zij die beant-<br />
<br />
<br />
opgesteld worden, wat aangeeft dat factoren die zich tijdens de interventie voordoen en<br />
dus niet pre-interventie kenmerken van belang zijn.<br />
In de tweede plaats onderzochten we de inhoud van de interventies. Brieven geschreven<br />
door Rwandese jongeren in de kwalitatieve ‘brievenbusstudie’, legden een groot aantal<br />
determinanten van seksueel gedrag bloot, gaande van persoonlijke factoren (b.v. puberteit,<br />
kennis) over interpersoonlijke factoren (b.v. type van seksuele relaties) en omgevingsfactoren<br />
(b.v. school) tot sociale en culturele factoren (b.v. normen, economische<br />
factoren, gender). Dit toont aan hoe complex het seksueel gedrag van jongeren is. Verder<br />
maakten de brieven duidelijk dat jongeren voornamelijk twee soorten seksuele relaties<br />
aangaan: experimentele seks, die vaak onvoorbereid plaatsvindt tussen jongeren van<br />
dezelfde leeftijd en gedreven wordt door seksueel verlangen en nieuwsgierigheid, en<br />
transactionele seks, waarbij jongeren seks hebben met een (vaak oudere) partner in ruil<br />
voor geld of materiële zaken, gedreven door groepsdruk om de juiste zaken te bezitten.<br />
Hoewel deze types relaties en contextuele factoren jongeren kwetsbaar maken voor hiv-<br />
174<br />
Kristein.indd 174 10/25/2012 8:37:58 PM
infectie, werden ze niet betrokken in de interventie. De belangrijke rol van structurele<br />
factoren werd verder aangetoond in een studie over de rol van onderwijs. We vonden dat<br />
onder schoolgaande jeugd t.o.v. niet-schoolgaande jeugd minder hiv voorkomt en dat er<br />
minder risicovol seksueel gedrag wordt vertoond. Echter, onderwijs kan ook een ander<br />
effect hebben, zoals het vergroten van de sociale kloof door de vorming van elites die de<br />
middelen hebben om meerdere seksuele partners te onderhouden, wat meer risico’s met<br />
zich meebrengt.<br />
Tenslotte, de gedragstheorieën die aan de basis liggen van de meeste interventies – social<br />
cognitive theory, theory of reasoned action/planned behaviour en health belief model<br />
– worden in interventies zodanig ingevuld dat de focus grotendeels ligt op cognities<br />
op het individueel niveau, zoals hiv-gerelateerde kennis en houdingen. Om te kunnen<br />
omgaan met de complexiteit van seksueel gedrag, nemen hiv-preventie-interventies voor<br />
jongeren vaak hun toevlucht tot reductionisme en eenvoudige, vaak (onbewust) moraliserende<br />
boodschappen. Daarbij negeren ze de realiteit en de grote hoeveelheid andere<br />
factoren die vanop verschillende niveaus een impact hebben op seksueel gedrag.<br />
Discussie en conclusie<br />
Evaluaties van hiv-preventie-interventies tonen een beperkte effectiviteit in het verminderen<br />
van seksueel risicogedrag van en hiv-incidentie bij jongeren in sub-Sahara<br />
<br />
mogelijk verantwoordelijk zijn. Een eerste groep betreft de interventie zelf. Onze studies<br />
wezen uit dat interventies zich voornamelijk richten op hiv-gerelateerde cognities op het<br />
individuele niveau terwijl we eveneens aantoonden dat heel wat andere factoren een rol<br />
spelen in het nemen van seksuele beslissingen. Daarom is het mogelijk dat de interventies<br />
van bij aanvang gedoemd zijn om te mislukken, gegeven de moeilijkheid om individueel<br />
seksueel gedrag te veranderen in de aanwezigheid van statische sociale normen en<br />
culturele factoren. Bovendien doen interventies vaak (onbewust) beroep op moraliserende<br />
boodschappen over seksueel gedrag, waarbij ze niet steeds uitgaan van de realiteit<br />
en veronachtzamen zich te concentreren op het meest risicovol seksueel gedrag. Verder<br />
worden interventies ook geconfronteerd met implementatieproblemen.<br />
De tweede groep factoren ligt op het niveau van de evaluatie. Gerandomiseerde gecontroleerde<br />
studies worden beschouwd als de gouden standaard voor het bepalen van<br />
oorzaak-gevolgrelaties. Het correct toepassen van de regels van zulke designs botst<br />
echter vaak met de complexiteit van hiv-preventie-interventies voor jongeren. De lange<br />
weg die gevolgd moet worden om seksueel gedrag en hiv-incidentie te wijzigen, in combinatie<br />
met de hoeveelheid contextuele factoren die dit kan beïnvloeden, maakt het extra<br />
moeilijk om waargenomen veranderingen toe te wijzen aan de interventies. Bovendien<br />
<br />
<br />
moeten dus beroep doen op zelf-gerapporteerd seksueel gedrag. Echter, we stelden<br />
vast dat de indicatoren die momenteel gebruikt worden voor het bepalen van seksueel<br />
175<br />
Kristein.indd 175 10/25/2012 8:37:58 PM
isicogedrag geen juiste afspiegeling zijn van de risico’s die jongeren daadwerkelijk nemen:<br />
ze worden immers gemeten buiten de context van de relatie en het netwerk waarin<br />
ze plaatsvinden. Het is dus mogelijk dat interventies er in slagen om seksueel gedrag te<br />
veranderen, maar dat de evaluaties niet in staat zijn om deze veranderingen te meten.<br />
Om de effectiviteit van hiv-preventie-interventies voor jongeren in sub-Sahara Afrika<br />
te verhogen, formuleren wij aanbevelingen op drie vlakken. Ten eerste, de evaluatie:<br />
het gebruik van alternatieve evaluatiedesigns, waarbij verschillende methodes worden<br />
gecombineerd doorheen het volledige interventieproces (“combinatie-evaluatie”), en<br />
waarbij onderzoek naar de plausibiliteit van effectiviteit, eerder dan de probabiliteit,<br />
centraal staat. Om adequaat seksueel risicogedrag te meten, raden wij de ontwikkeling<br />
van samengestelde, contextuele indicatoren aan. Zulke indicatoren combineren aspecten<br />
van transmissie (inbegrepen relationele kenmerken), blootstelling en besmettelijkheid.<br />
Ten tweede, de interventie: door het bestuderen van de determinanten van seksueel gedrag<br />
en hoe ze dit gedrag beïnvloeden, en het verzamelen van nieuwe gegevens, moeten<br />
onderzoekers het mogelijk maken om effectievere interventies te ontwikkelen. Zulke<br />
<br />
voor de eerste fase van de interventieplanning vraagt: de situatie- en behoefteanalyse.<br />
Ten derde, de uitvoering: het monitoren van interventies is essentieel in het begrijpen<br />
176<br />
Kristein.indd 176 10/25/2012 8:37:58 PM
van hun effectiviteit. Evaluatoren, interventiemanagers en uitgevers van wetenschappelijke<br />
tijdschriften moeten zich bewust worden van het belang van het publiceren van<br />
ontwikkelings- en implementatieprocessen van interventies, zodat anderen kunnen leren<br />
van successen/mislukkingen.<br />
Samenvattend kunnen we stellen dat, om complexe problemen op te lossen, er complexe<br />
interventies en complexe evaluaties nodig zijn. Het accepteren van deze complexiteit<br />
eit<br />
toelaten in de interventie, implementatie en evaluatie is haalbaar als alle betrokken<br />
<br />
wetenschappelijke tijdschriften) bereid zijn op een open manier samen te werken en zich<br />
bewust blijven van het uiteindelijke doel; hiv elimineren bij de belangrijke en kwetsbare<br />
bevolkingsgroep van jongeren in sub-Sahara Afrika.<br />
177<br />
Kristein.indd 177 10/25/2012 8:37:58 PM
References<br />
1. Hymes K, Greene J, Marcus A: Kaposi's sarcoma in homsexual men: A report of eight<br />
cases. Lancet 1981, 2:598-600.<br />
2. Centers for Disease Control: Kaposi's sarcoma and Pneumocystis pneumonia among<br />
homosexual men--New York City and California. MMWR Morb Mortal Wkly Rep 1981,<br />
30(25):305-308.<br />
3. Barre-Sinoussi F, Chermann J-C, Rey F, Nugeyre MT, Chamaret S, Gruest J, Dauguet C, Axler-<br />
Blin C, Brun-Vezinet F, Rouzioux C et al: 'Isolation of a T-Lymphotropic retrovirus from a<br />
patient at risk for Acquired Immune Deficiency Syndrome (AIDS)'. Science 1983,<br />
220(4599):868-871.<br />
4. Marx JL: Strong new candidate for AIDS agent. Science 1984, 224(4648):475-477.<br />
5. Donegan E, Stuart M, Niland JC, Sacks HS, Azen SP, Dietrich SL, Faucett C, Fletcher MA,<br />
Kleinman SH, Operskalski EA et al: Infection with Human-Immunodeficiency-Virus<br />
Type-1 (Hiv-1) among Recipients of Antibody-Positive Blood Donations. Ann Intern<br />
Med 1990, 113(10):733-739.<br />
6. Boily MC, Baggaley RF, Wang L, Masse B, White RG, Hayes RJ, Alary M: Heterosexual risk of<br />
HIV-1 infection per sexual act: systematic review and meta-analysis of observational<br />
studies. Lancet Infect Dis 2009, 9(2):118-129.<br />
7. Boily MC, Bastos FI, Desai K, Masse B: Changes in the transmission dynamics of the HIV<br />
epidemic after the wide-scale use of antiretroviral therapy could explain increases in<br />
sexually transmitted infections - Results from mathematical models. Sex Transm Dis<br />
2004, 31(2):100-112.<br />
8. Kaplan EH, Heimer R: HIV Incidence among New-Haven Needle Exchange Participants -<br />
Updated Estimates from Syringe Tracking and Testing Data. J Acq Immun Def Synd<br />
1995, 10(2):175-176.<br />
9. Kaplan EH, Heimer R: A Model-Based Estimate of HIV Infectivity Via Needle Sharing. J<br />
Acq Immun Def Synd 1992, 5(11):1116-1118.<br />
10. Bell DM: Occupational risk of human immunodefiency virus infection in healthcare<br />
workers: an overview. American Journal of Medicine 1997, 102(5B):9-15.<br />
11. Coovadia H: Current issues in prevention of mother-to-child transmission of HIV-1.<br />
Curr Opin HIV AIDS 2009, 4(4):319-324.<br />
12. Coovadia H: Antiretroviral agents - How best to protect infants from HIV and save<br />
their mothers from AIDS. New Engl J Med 2004, 351(3):289-292.<br />
13. Varghese B, Maher JE, Peterman TA, Branson BM, Steketee RW: Reducing the risk of<br />
sexual HIV transmission - Quantifying the per-act risk for HIV on the basis of choice of<br />
partner, sex act, and condom use. Sex Transm Dis 2002, 29(1):38-43.<br />
14. Leynaert B, Downs AM, de Vincenzi I, H ESGHT: Heterosexual transmission of human<br />
immunodeficiency virus - Variability of infectivity throughout the course of infection.<br />
American Journal of Epidemiology 1998, 148(1):88-96.<br />
15. European Study Group on Heterosexual Transmission of HIV: Comparison of female to<br />
male and male to female transmission of HIV in 563 stable couples. BMJ 1992,<br />
304(6830):809.<br />
178<br />
Kristein.indd 178 10/25/2012 8:37:58 PM
16. Schmid GP, Buve A, Mugyenyi P, Garnett GP, Hayes RJ, Williams BG, Calleja JG, De Cock KM,<br />
Whitworth JA, Kapiga SH et al: Transmission of HIV-1 infection in sub-Saharan Africa<br />
and effect of elimination of unsafe injections. Lancet 2004, 363(9407):482-488.<br />
17. Weiss HA, Buve A, Robinson NJ, Van Dyck E, Kahindo M, Anagonou S, Musonda R, Zekeng L,<br />
Morison L, Carael M et al: The epidemiology of HSV-2 infection and its association with<br />
HIV infection in four urban African populations. Aids 2001, 15:S97-S108.<br />
18. Auvert B, Ballard R, Campbell C, Carael M, Carton M, Fehler G, Gouws E, MacPhail C, Taljaard<br />
D, Van Dam J et al: HIV infection among youth in a South African mining town is<br />
associated with herpes simplex virus-2 seropositivity and sexual behaviour. Aids<br />
2001, 15(7):885-898.<br />
19. UNAIDS: Getting to Zero. In: UNAIDS 2011-2015 Strategy. Geneva: UNAIDS; 2010.<br />
20. AMFAR: Achieving an AIDS-Free Generation for Gay Men and Other MSM. Financing<br />
and implementation of HIV programs targeting MSM. Baltimore: AMFAR; 2012.<br />
21. UNAIDS, WHO, UNODC: HIV/AIDS Prevention among Injecting Drug Users. In: Advocacy<br />
Guide. Geneva: WHO; 2004.<br />
22. Sasse A, Verbrugge R, Van Berkhoven D: Epidemiologie van aids en hiv-infectie in België,<br />
toestand op 31 december 2010. Brussel: Wetenschappelijk Instituut voor<br />
Volksgezondheid; 2011.<br />
23. The science of HIV & AIDS in the UK<br />
[http://www.thenakedscientists.com/HTML/articles/article/25yearsofhivaidsintheuk/,<br />
accessed 3/4/2012]<br />
24. The immune system [http://www.myhiv.org.uk/HIV-and-you/Simple-science/Theimmune-system,<br />
accessed 3/4/2012]<br />
25. UNAIDS: UNAIDS World AIDS Day Report 2011. How to get to zero: Faster. Smarter.<br />
Better. In: World AIDS Day Reports. Geneva: UNAIDS; 2011.<br />
26. UNAIDS, WHO: HIV Prevalence Map 2010: A global view of HIV infection. Geneva:<br />
UNAIDS, WHO; 2011.<br />
27. Worldwide HIV & AIDS Statistics Commentary [http://www.avert.org/worlstatinfo.htm,<br />
accessed 4/4/2012]<br />
28. Committee on Health and Behavior: Health and Behavior. The interplay of Biological,<br />
Behavioral and Societal Influences. Washington: National Academy Press; 2001.<br />
29. Auerbach JD, Coates TJ: HIV prevention research: Accomplishments and challenges for<br />
the third decade of AIDS. American Journal Of Public Health 2000, 90(7):1029-1032.<br />
30. Alam SJ, Meyer R, Ziervogel G, Moss S: The Impact of HIV/AIDS in the Context of<br />
Socioeconomic Stressors: an Evidence-Driven Approach. Jasss-J Artif Soc S 2007,<br />
10(4):7.<br />
31. Williams BG, Lloyd-Smith JO, Gouws E, Hankins C, Getz WM, Hargrove J, de Zoysa I, Dye C,<br />
Auvert B: The potential impact of male circumcision on HIV in sub-Saharan Africa.<br />
PLoS Medicine 2006, 3(7):1032-1040.<br />
32. Bailey RC, Moses S, Parker CB, Agot K, Maclean I, Krieger JN, Williams CFM, Campbell RT,<br />
Ninya-Achola JO: Male circumcision for HIV prevention in young men in Kisumu,<br />
Kenya: a randomised controlled trial. Lancet 2007, 369(9562):643-656.<br />
179<br />
Kristein.indd 179 10/25/2012 8:37:58 PM
33. Gray RH, Kigozi G, Serwadda D, Makumbi F, Watya S, Nalugoda F, Kiwanuka N, Moulton LH,<br />
Chaudhary MA, Chen MZ et al: Male circumcision for HIV prevention in men in Rakai,<br />
Uganda: a randomised trial. Lancet 2007, 369(9562):657-666.<br />
34. Gray RH, Tobian A, Kigozi G, Wawer MJ, Serwadda D: Commentary: Male circumcision for<br />
prevention of heterosexual acquisition of HIV in men: perspective from a trial team.<br />
<strong>International</strong> Journal Of Epidemiology 2010, 39(4):970-971.<br />
35. Taylor BS, Hammer SM: The challenge of HIV-1 subtype diversity (vol 358, pg 1590,<br />
2008). New Engl J Med 2008, 359(18):1965-1966.<br />
36. Leclerc-Madlala S: Age-disparate and intergenerational sex in southern Africa: the<br />
dynamics of hypervulnerability. Aids 2008, 22:S17-S25.<br />
37. Halperin D, Epstein H: Why is HIV prevalence so severe in Southern Africa? The<br />
Southern African Journal of HIV Medicine 2007, 8(1):19-25.<br />
38. Epstein H: The invisible cure. New York: Picador; 2007.<br />
39. Epstein H: The Mathematics of Concurrent Partnerships and HIV: A Commentary on<br />
Lurie and Rosenthal, 2009. AIDS & Behavior 2010, 14:29-30.<br />
40. Epstein H, Morris M: Concurrent partnerships and HIV: an inconvenient truth. J Int Aids<br />
Soc 2011, 14.<br />
41. Eaton JW, Hallett TB, Garnett GP: Concurrent Sexual Partnerships and Primary HIV<br />
Infection: A Critical Interaction. AIDS & Behavior 2011, 15(4):687-692.<br />
42. Morris M, Epstein H, Wawer M: Timing Is Everything: <strong>International</strong> Variations in<br />
Historical Sexual Partnership Concurrency and HIV Prevalence. Plos One 2010, 5(11).<br />
43. Kenyon C, Dlamini S, Boulle A, White RG, Badri M: A network-level explanation for the<br />
differences in HIV prevalence in South Africa's racial groups. Ajar-Afr J Aids Res 2009,<br />
8(3):243-254.<br />
44. Helleringer S, Kohler HP: Sexual network structure and the spread of HIV in Africa:<br />
evidence from Likoma Island, Malawi. Aids 2007, 21(17):2323-2332.<br />
45. Mah TL: Prevalence and correlates of concurrent sexual partnerships among young<br />
people in South Africa. Sex Transm Dis 2010, 37(2):105-108.<br />
46. Harrison A, Cleland J, Frohlich J: Young people's sexual partnerships in KwaZulu-Natal,<br />
South Africa: patterns, contextual influences, and HIV risk. Stud Fam Plann 2008,<br />
39(4):295-308.<br />
47. Harrison A: Hidden Love: Sexual ideologies and relationship ideals among rural South<br />
African adolescents in the context of HIV/AIDS. Cult Health Sex 2008, 10(2):175-189.<br />
48. Meekers D, Stallworthy G, Harris J: Changing Adolescents' beliefs about protective<br />
sexual behavior: the Botswana Tsa Banana project. Washington: Population Services<br />
<strong>International</strong>; 1997.<br />
49. Pettifor AE, Rees HV, Kleinschmidt I, Steffenson AE, MacPhail C, Hlongwa-Madikizela L,<br />
Vermaak K, Padian NS: Young people's sexual health in South Africa: HIV prevalence<br />
and sexual behaviors from a nationally representative household survey. Aids 2005,<br />
19(14):1525-1534.<br />
50. Dunkle KL, Jewkes R, Nduna M, Jama N, Levin J, Sikweyiya Y, Koss MP: Transactional sex<br />
with casual and main partners among young South African men in the rural Eastern<br />
180<br />
Kristein.indd 180 10/25/2012 8:37:58 PM
Cape: Prevalence, predictors, and associations with gender-based violence. Soc Sci<br />
Med 2007, 65(6):1235-1248.<br />
51. Gupta GR, Parkhurst JO, Ogden JA, Aggleton P, Mahal A: Structural approaches to HIV<br />
prevention. Lancet 2008, 372(6940).<br />
52. Whiteside A: Poverty and HIV/AIDS in Africa. Third World Q 2002, 23(2):313-332.<br />
53. O'Farrell N: Poverty and HIV in sub-Saharan Africa. Lancet 2001, 357(9256):636-637.<br />
54. Mosley A: Does HIV or poverty cause AIDS? Biomedical and epidemiological<br />
perspectives. Theor Med Bioeth 2004, 25(5-6):399-421.<br />
55. Gillespie S, Kadiyala S, Greener R: Is poverty or wealth driving HIV transmission? Aids<br />
2007, 21:S5-S16.<br />
56. Bärnighausen T, Hosegood V, Timaeus IM, Newell ML: The socioeconomic determinants<br />
of HIV incidence: evidence from a longitudinal, population-based study in rural South<br />
Africa. Aids 2007, 21 Suppl 7:S29-38.<br />
57. Stroeken K, <strong>Michielsen</strong> K, Remes P, Meeuwis M (2012). The region-sensitive effect of<br />
globalization on HIV in Eastern and Southern Africa: The dual role of education.<br />
submitted to AIDS & Behavior 2012.<br />
58. Coates TJ, Richter L, Caceres C: Behavioural strategies to reduce HIV transmission: how<br />
to make them work better. Lancet 2008, 372(9637):36-51.<br />
59. UNAIDS: Young People are Leading the HIV Prevention Revolution. Geneva: UNAIDS;<br />
2011.<br />
60. The <strong>International</strong> Group on Analysis of Trends in HIV Prevalence and Behaviours in Young<br />
People in Countries most Affected by HIV: Trends in HIV prevalence and sexual<br />
behaviour among young people aged 15-24 years in countries most affected by HIV.<br />
Sex Transm Infect 2010, 86(Suppl 2):ii72-ii83.<br />
61. Marston C, King E: Factors that shape young people's behaviour: a systematic review.<br />
Lancet 2006, 368(9547):1581-1586.<br />
62. Wellings K, Collumbien M, Slaymaker E, Singh S, Hodges Z, Patel D, Bajos N: Sexual<br />
behaviour in context: a global perspective. Lancet 2006, 368(9548):1706-1728.<br />
63. UNFPA: Why focus on young people. New York: UNFPA; 2008.<br />
64. WHO: Why is giving special attention to adolescents important for achieving<br />
Millennium Development Goal 5? Geneva : WHO; 2008.<br />
65. UNICEF: Opportunity in Crisis: Preventing HIV from early adolescence to young<br />
adulthood. New york: UNICEF; 2011.<br />
66. Blum RW: Youth in sub-Saharan Africa. J Adolescent Health 2007, 41(3):230-238.<br />
67. Bearinger LH, Sieving RE, Ferguson J, Sharma V: Adolescent health 2 - Global<br />
perspectives on the sexual and reproductive health of adolescents: patterns,<br />
prevention, and potential. Lancet 2007, 369(9568):1220-1231.<br />
68. Caldwell JC, Caldwell P, Caldwell BK, Pieris I: The construction of adolescence in a<br />
changing world: implications for sexuality, reproduction, and marriage. Stud Fam<br />
Plann 1998, 29(2):137-153.<br />
69. Fatusi AO, Hindin MJ: Adolescents and youth in developing countries: Health and<br />
development issues in context. J Adolesc 2010, 33(4):499-508.<br />
181<br />
Kristein.indd 181 10/25/2012 8:37:58 PM
70. Nsamenang AB: Adolescence in Sub-Saharan Africa: An Image Constructed from<br />
Africa's Triple Inheritance. In: The World's Youth: Adolesence in eight regions of the globe.<br />
edn. Edited by Brown B, Larson RW, Saraswathi TS. Cambridge: Cambridge University<br />
Press; 2002: 61-104.<br />
71. Idowu AO, Idowu PA, Adagunodo ER: Empirical study on information and<br />
communication technology and youth in a developing country: Nigeria as a case. Int J<br />
Inf Tech Decis 2005, 4(2):297-309.<br />
72. Kinsman J, Nyanzi S, Pool R: Socializing influences and the value of sex: the experience<br />
of adolescent school girls in rural Masaka, Uganda. Cult Health Sex 2000, 2(2):151-166.<br />
73. MacPhail C, Campbell C: 'I think condoms are good but, aai, I hate those things': condom<br />
use among adolescents and young people in a Southern African township. Soc Sci Med<br />
2001, 52:1613-1627.<br />
74. Odeyemi K, Onajole A, Ogunowo B: Sexual behavior and the influencing factors among<br />
out of school female adolescents in Mushin market, Lagos, Nigeria. Int J Adolesc Med<br />
Health 2009, 21(1):101-109.<br />
75. Maticka-Tyndale E, Gallant M, Brouillard-Coyle C, Holland D, Metcalfe K, Wildish J, Gichuru<br />
M: The sexual scripts of Kenyan young people and HIV prevention. Cult Health Sex<br />
2005, 7(1):27-41.<br />
76. Luke N, Kurz K: Cross-generational and Transactionals Sexual Relationships in Sub-<br />
Saharan Africa. Prevalence of Behavior and Implications for Negotiating Safer Sexual<br />
Practices. Washington: Population Services <strong>International</strong>, <strong>International</strong> <strong>Centre</strong> for<br />
Research on Women; 2002.<br />
77. Gage AJ: Sexual activity and contraceptive use: The components of the decisionmaking<br />
process. Stud Fam Plann 1998, 29(2):154-166.<br />
78. Fuglesang M: Lessons for life - Past and present modes of sexuality education in<br />
Tanzanian society. Soc Sci Med 1997, 44(8):1245-1254.<br />
79. Selikow TA, Ahmed N, Flisher AJ, Mathews C, Mukoma W: I am not "umqwayito'': A<br />
qualitative study of peer pressure and sexual risk behaviour among young<br />
adolescents in Cape Town, South Africa. Scand J Public Healt 2009, 37:107-112.<br />
80. Harrison A, Cleland J, Gouws E, Frohlich J: Early sexual debut among young men in rural<br />
South Africa: heightened vulnerability to sexual risk? Sex Transm Infect 2005,<br />
81(3):259-261.<br />
81. Ajzen I: From intentions to actions: A theory of planned behavior. In: Action-control:<br />
From cognition to behavior. edn. Edited by Kuhn J, Beckman J. Heidelberg: Springer; 1985:<br />
11-39.<br />
82. Becker MH: THe Health Belief Model and Personal Health Behavior. Health Educ Quart<br />
1974, 2(4).<br />
83. Jewkes R, Nduna M, Levin J, Jama N, Dunkle K, Khuzwayo N, Koss M, Puren A, Wood K,<br />
Duvvury N: A cluster randomized-controlled trial to determine the effectiveness of<br />
Stepping Stones in preventing HIV infections and promoting safer sexual behaviour<br />
amongst youth in the rural Eastern Cape, South Africa: trial design, methods and<br />
baseline findings. Trop Med Int Health 2006, 11(1):3-16.<br />
182<br />
Kristein.indd 182 10/25/2012 8:37:59 PM
84. Baird SJ, Garfein RS, McIntosh CT, Ozler B: Effect of a cash transfer programme for<br />
schooling on prevalence of HIV and herpes simplex type 2 in Malawi: a cluster<br />
randomised trial. Lancet 2012.<br />
85. Duflo E, Dupas P, Kremer M, Sinei S: Education and HIV/AIDS prevention: evidence from<br />
a randomized evaluation in Western Kenya. Washington: World Bank; 2006.<br />
86. Merson MH, Dayton JM, O'Reilly K: Effectiveness of HIV prevention interventions in<br />
developing countries. Aids 2000, 14 (suppl 2):S68-S84.<br />
87. Gallant M, Maticka-Tyndale E: School-based HIV prevention programmes for African<br />
youth. Soc Sci Med 2004, 58(7):1337-1351.<br />
88. Paul-Ebhohimhen V, Poobalan A, van Teijlingen ER: A systematic review of school-based<br />
sexual health interventions to prevent STI/HIV in sub-Saharan Africa. BMC Public<br />
Health 2008, 8(4).<br />
89. Bertrand JT, Anhang R: The effectiveness of mass media in changing HIV/AIDS-related<br />
behaviour among young people in developing countries. World Health Organization<br />
Technical Report Series 2006, 938:205-241.<br />
90. Foss AM, Hossain M, Vickerman PT, Watts CH: A systematic review of published evidence<br />
on intervention impact on condom use in sub-Saharan Africa and Asia. Sex Transm<br />
Infect 2007, 83 (7):510-516.<br />
91. Speizer IS, Magnani RJ, Colvin CE: The effectiveness of adolescent reproductive health<br />
interventions in developing countries: a review of the evidence. J Adolesc Health 2003,<br />
33 (5):324-348.<br />
92. Kirby DB, Obasi AI, Laris BA: The effectiveness of sex education and HIV education<br />
interventions in schools in developing countries. World Health Organization Technical<br />
Report Series 2006, 938:103-150.<br />
93. Magnussen L, Ehiri JE, Ejere HO, Jolly PE: Interventions to prevent HIV/AIDS among<br />
adolescents in less developed countries: are they effective? Int J Adolesc Med Health<br />
2004, 16(4):303-323.<br />
94. Kirby DB, Laris BA, Rolleri LA: Sex and HIV education programs: Their impact on sexual<br />
behaviors of young people throughout the world. J of Adolesc Health 2007, 40(3):206-<br />
217.<br />
95. Ross DA, Dick B, Ferguson J: Preventing HIV/AIDS in young people. A systematic review<br />
of the evidence from developing countries. Geneva: World Health Organization; 2005.<br />
96. Ross DA: Behavioural interventions to reduce HIV risk: what works? Aids 2010, 24:S4-<br />
S14.<br />
97. Turner G, Shepherd J: A method in search of a theory: peer education and health<br />
promotion. Health Educ Res 1999, 14(2):235-247.<br />
98. Maticka-Tyndale E, Barnett JP: Peer-led interventions to reduce HIV risk of youth: A<br />
review. Eval Program Plann 2010, 33(2):98-112.<br />
99. Republic of Rwanda: Rwanda National Strategic Plan on HIV and AIDS 2009-2012.<br />
2009.<br />
100. Rwanda [https://www.cia.gov/library/publications/the-world-factbook/geos/rw.html,<br />
accessed 9/5/2012]<br />
183<br />
Kristein.indd 183 10/25/2012 8:37:59 PM
101. Total fertility rate [http://data.worldbank.org/indicator/SP.DYN.TFRT.IN, accessed<br />
9/5/2012]<br />
102. UNDP: Human Development Report 2011. New York: UNFDP; 2011.<br />
103. Republic of Rwanda: Rwanda Demographic and Health Survey 2010. 2010.<br />
104. Republic of Rwanda: Rwanda Demographic and Health Survey 2005. 2005.<br />
105. Comité National de Lutte contre le SIDA: 2010 Rwanda Epidemiologic Update. 2010.<br />
106. Republic of Rwanda: UNGASS Country Progress Report. 2010.<br />
107. Republic of Rwanda - Prime Minister's Office in Charge of Gender and Family Promotion: A<br />
situation analysis of orphans and vulnerable children in Rwanda. 2008.<br />
108. Country Situation Analysis Rwanda<br />
[http://www.unaids.org/en/regionscountries/countries/rwanda, accessed 6/4/2012]<br />
109. Family Planning [http://www.measuredhs.com/topics/Family-Planning.cfm]<br />
110. Republic of Rwanda: Behavioural Surveillance Study 2009. 2009.<br />
111. Institute for Statistics [http://www.uis.unesco.org/Pages/default.aspx, accessed<br />
1/2/2012]<br />
112. Statistics - Rwanda [http://www.unicef.org/infobycountry/rwanda_statistics.html]<br />
113. <strong>Michielsen</strong> K, Bosmans M, Temmerman M: Combating HIV/AIDS in children and youth<br />
through education and training. Field study from Rwanda. 2007.<br />
114. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JPA, Clarke M, Devereaux<br />
PJ, Kleijnen J, Moher D: The PRISMA Statement for Reporting Systematic Reviews and<br />
Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and<br />
Elaboration. PLoS Medicine 2009, 6(7).<br />
115. Moher D, Cook DJ, Eastwood S, Olkin I, Rennie D, Stroup DF, Grp Q: Improving the quality<br />
of reports of meta-analyses of randomised controlled trials: the QUOROM statement.<br />
Lancet 1999, 354(9193):1896-1900.<br />
116. Taylor TL, Killaspy H, Wright C, Turton P, White S, Kallert TW, Schuster M, Cervilla JA,<br />
Brangier P, Raboch J et al: A systematic review of the international published literature<br />
relating to quality of institutional care for people with longer term mental health<br />
problems. Bmc Psychiatry 2009, 9(55).<br />
117. Demidenko E: Sample size and optimal design for logistic regression with binary<br />
interaction. Statistics in Medicine 2008, 27(1):36-46.<br />
118. Bausell RB, Li Y: Power analysis for experimental research: a practical guide for the<br />
biological, medical, and social sciences. Cambridge: Cambridge University Press; 2002.<br />
119. Cohen J: Statistical power analysis for the behavioral sciences. Hillsdale: Routledge<br />
Academic; 1988.<br />
120. Wallston KA: The validity of the Multidimensional Health Locus of Control scales.<br />
Journal of Health Psychology 2005, 10(5):623-631.<br />
121. Ducot B, Spira A: Preventive Behavior of AIDS - Prevalence and Conductive Factors.<br />
Population 1993, 48(5):1479-1504.<br />
122. Winter L: The Role of Sexual Self-Concept in the Use of Contraceptives. Family Planning<br />
Perspectives 1988, 20(3):123-127.<br />
123. Lux KM, Petosa R: Using the Health Belief Model to Predict Safer Sex Intentions of<br />
Incarcerated Youth. Health Education Quarterly 1994, 21(4):487-497.<br />
184<br />
Kristein.indd 184 10/25/2012 8:37:59 PM
124. Harvey B, Stuart J, Swan T: Evaluation of a drama-in-education programme to increase<br />
AIDS awareness in South African high schools: a randomized community intervention<br />
trial. Intl J STD AIDS 2000, 11(2):105-111.<br />
125. Iriyama S, Nakahara S, Jimba M, Ichikawa M, Wakai S: AIDS health beliefs and intention<br />
for sexual abstinence among mate adolescent students in Kathmandu, Nepal: A test of<br />
perceived severity and susceptibility. Public Health 2007, 121(1):64-72.<br />
126. James S, Reddy SP, Taylor M, Jinabhai C: Young people, HIV/AIDS/STIs and sexuality in<br />
South Africa: the gap between awareness and behaviour. Acta Paediatr 2004,<br />
93(2):264-269.<br />
127. O'Leary A, Maibach E, Ambrose T, Jemmott J, Celentano D: Social Cognitive Predictors of<br />
Sexual Risk Behavior Change Among STD Clinic Patients AIDS & Behavior 2000,<br />
4(4):309-316.<br />
128. Slaymaker E: A critique of international indicators of sexual risk behaviour. Sex Transm<br />
Infect 2004, 80:ii13-ii21.<br />
129. Visser MJ: Life skills training as HIV/AIDS preventive strategy in secondary schools:<br />
evaluation of a large-scale implementation process. SAHARA 2005, 2(1):203-216.<br />
130. Rosenbaum PR, Rubin DB: The Central Role of the Propensity Score in Observational<br />
Studies for Causal Effects. Biometrika 1983, 70(1):41-55.<br />
131. Oakes MJ, Johnson PJ: Propensity score matching for social epidemiology. In: Methods in<br />
social epidemiology. edn. Edited by Oakes MJ, Kaufman JS. San Francisco: Jossey-Bass; 2006.<br />
132. Delva W: Sexual Behaviour and the Spread of HIV. Statistical and Epidemiological<br />
Modelling Applications. Gent: Universiteit Gent; 2010.<br />
133. Akaike H: New Look at Statistical-Model Identification. Ieee T Automat Contr 1974,<br />
Ac19(6):716-723.<br />
134. Akaike H: Maximum Likelihood Identification of Gaussian Autoregressive Moving<br />
Average Models. Biometrika 1973, 60(2):255-265.<br />
135. Neyman J, Pearson ES: On the use and interpretation of certain test criteria for<br />
purposes of statistical inference. Part I and II. Biometrika 1928, 20:492-510.<br />
136. McCullagh P, Nelder J: Generalized Linear Models. New York: Chapman & Hall; 1989.<br />
137. Delor F, Hubert M: Revisiting the concept of 'vulnerability'. Soc Sci Med 2000, 50<br />
(11):1557-1570.<br />
138. ASA Code of Ethics [http://www.asanet.org/about/ethics.cfm, accessed 10/2/2009]<br />
139. Ethical Issues [http://www.who.int/reproductive-health/hrp/guidelines_adolescent.html,<br />
accessed 10/12/2008]<br />
140. Society for Adolescent Medicine: Guidelines for Adolescent Health Research. J Adolesc<br />
Health 2003, 33:410-415.<br />
141. American Sociological Association: Code of Ethics and Policies and Procedures of the<br />
ASA Committee on Professional Ethics. Washington: American Sociological Association;<br />
1999.<br />
142. Weithorn L: Children’s capacities to decide about participation in research. IRB 1983,<br />
5:1-5.<br />
185<br />
Kristein.indd 185 10/25/2012 8:37:59 PM
143. Susman E, Dorn L, Fletcher J: Participation in biomedical research: the consent process<br />
as viewed by children, adolescents, young adults, and physicians. J Pediatr 1992:547-<br />
552.<br />
144. Young People: The Greatest Hope for Turning the Tide<br />
145. Harrison A, Newell ML, Imrie J, Hoddinott G: HIV prevention for South African youth:<br />
which interventions work? A systematic review of current evidence. BMC Public Health<br />
2010, 10.<br />
146. Medley A, Kennedy C, O'Reilly K, Sweat M: Effectiveness of peer education interventions<br />
for HIV prevention in developing countries: a systematic review and meta-analysis.<br />
AIDS Education & Prevention 2009, 21(3):181-206.<br />
147. <strong>Michielsen</strong> K, Chersich M, Luchters S, De Koker P, Van Rossem R, Temmerman M:<br />
Effectiveness of HIV prevention for youth in sub-Saharan Africa: systematic review<br />
and meta-analysis of randomized and nonrandomized trials. Aids 2010, 24(8):1193-<br />
1202.<br />
148. Speizer IS, Tambashe BO, Tegang SP: An Evaluation of the "Entre Nous Jeunes" Peereducator<br />
Program for Adolescents in Cameroon. Stud Fam Plann 2001, 31(4):339-351.<br />
149. Maticka-Tyndale E, Wildish J, Gichuru M: Quasi-experimental evaluation of a national<br />
primary school HIV intervention in Kenya. Eval Program Plann 2007, 30(2):172-186.<br />
150. Magnani R, MacIntyre K, Karim AM, Brown L, Hutchinson P: The impact of life skills<br />
education on adolescent sexual risk behaviors in KwaZulu-Natal, South Africa. J<br />
Adolesc Health 2005, 36(4):289-304.<br />
151. Underwood C, Hachonda H, Serlemitsos E, Bharath-Kumar U: Reducing the risk of HIV<br />
transmission among adolescents in Zambia: Psychosocial and behavioral correlates<br />
of viewing a risk-reduction media campaign. J Adolesc Health 2006, 38(55):55-e51-55e13.<br />
152. Plautz A, Meekers D, Neukom J: The Impact of the Madagascar TOP R‚seau Social<br />
Marketing Program on Sexual Behavior and Use of Reproductive Health Services. PSI<br />
Research Division: Working Paper No. 57; 2003.<br />
153. Kim Young M: Promoting Sexual Responsibility Among Young People in Zimbabwe. Int<br />
Fam Plan Perspect 2001, 27(1):11-19.<br />
154. Nyblade LC, Menken J, Wawer MJ, Sewankambo NK, Serwadda D, Makumbi F, Lutalo T, Gray<br />
RH: Population-based HIV testing and counseling in rural Uganda: Participation and<br />
risk characteristics. J Acquir Immune Defic Syndr 2001, 28(5):463-470.<br />
155. McCree DM, Jones KT: African Americans and HIV/AIDS: Understanding and<br />
Addressing the Epidemic: Springer; 2010.<br />
156. Robroek SJW, van Lenthe FJ, van Empelen P, Burdorf A: Determinants of participation in<br />
worksite health promotion programmes: a systematic review. Int J Behav Nutr Phy<br />
2009, 6.<br />
157. Näslund GK, Fredrikson M, Holm L-E: Psychosocial Factors Associated with<br />
Participation and Nonparticipation in a Diet Intervention Program. Journal of<br />
Psychosocial Oncology 1993, 10(4):93-107.<br />
186<br />
Kristein.indd 186 10/25/2012 8:37:59 PM
158. Hasson H, Brown C, Hasson D: Factors associated with high use of a workplace webbased<br />
stress management program in a randomized controlled intervention study.<br />
Health Educ Res 2010, 25(4):596-607.<br />
159. Painter TM, Diaby KL, Matia DM, Lin LS, Sibailly TS, Kouassims MK, Ekpini ER, Roels TH,<br />
Wiktor SZ: Sociodemographic factors associated with participation by HIV-1-positive<br />
pregnant women in an intervention to prevent mother-to-child transmission of HIV<br />
in Cote d'Ivoire. Int J Std Aids 2005, 16(3):237-242.<br />
160. Berten H, Van Rossem R: Doing worse but knowing better: An exploration of the<br />
relationship between HIV/AIDS knowledge and sexual behavior among adolescents<br />
in Flemish secondary schools. J Adolesc 2009, 32(5):1303-1319.<br />
161. Musabyimana G: Pratiques et rites sexuels au Rwanda. Paris: L'Harmattan; 2006.<br />
162. Bruce J: Girls left behind: Redirecting HIV interventions toward the most vulnerable.<br />
In: Promoting healthy, safe and productive transitions to adulthood. Edited by<br />
PopulationCouncil. New York: Population Council; 2007.<br />
163. Johnson BT, Carey MP, Marsh KL, Levin KD, Scott-Sheldon LA: Interventions to Reduce<br />
Sexual Risk for the Human Immunodeficiency Virus in Adolescents, 1985-2000: A<br />
Research Synthesis. Archives of Pediatrics and Adolescent Medicine 2003, 157(4):381-388.<br />
164. Mavedzenge SMN, Doyle AM, Ross DA: HIV Prevention in Young People in Sub-Saharan<br />
Africa: A Systematic Review. J Adolescent Health 2011, 49(6):568-586.<br />
165. James S, Reddy P, Ruiter RAC, McCauley A, van den Borne B: The impact of an HIV and<br />
AIDS life skills program on secondary school students in Kwazulu-Natal, South Africa.<br />
Aids Educ Prev 2006, 18(4):281-294.<br />
166. Smith E, Palen LA, Caldwell L, Flisher A, Graham J, Mathews C, Wegner L, Vergnani T:<br />
Substance Use and Sexual Risk Prevention in Cape Town, South Africa: An Evaluation<br />
of the HealthWise Program. Prev Sci 2008, 9(4):311-321.<br />
167. Karnell AP, Cupp PK, Zimmerman RS, Feist-Price S, Bennie T: Efficacy of an American<br />
alcohol and HIV prevention curriculum adapted for use in South Africa: results of a<br />
pilot study in five township schools. AIDS Educ & Prev 2006, 18(4):295-310.<br />
168. Hallman K, Roca E: Siyakha Nentsha: building economic, health, and social capabilities<br />
among highly vulnerable adolescents in KwaZulu-Natal, South Africa. Washington:<br />
Population Council; 2011.<br />
169. Green J: The role of theory in evidence-based health promotion practice. Health Educ<br />
Res 2000, 15(2):125-129.<br />
170. Brieger WR, Delano GE, Lane CG, Oladepo O, Oyediran KA: West African Youth Initiative:<br />
outcome of a reproductive health education program. J Adolesc Health 2001, 29(6):436-<br />
446.<br />
171. Obasi AI, Cleophas B, Ross DA, Chima KL, Mmassy G, Gavyole A, Plummer ML, Makokha M,<br />
Mujaya B, Todd J et al: Rationale and design of the MEMA kwa Vijana adolescent sexual<br />
and reproductive health intervention in Mwanza Region, Tanzania. Aids Care-<br />
Psychological and Socio-Medical Aspects of Aids/Hiv 2006, 18(4):311-322.<br />
172. Fitzgerald AM, Stanton BF, Terreri N, Shipena H, Li X, Kahihuata J, Ricardo IB, Galbraith JS,<br />
De Jaeger AM: Use of Western-based HIV risk-reduction interventions targeting<br />
adolescents in an African setting. J Adolesc Health 1999, 25(1):52-61.<br />
187<br />
Kristein.indd 187 10/25/2012 8:37:59 PM
173. Visser MJ: HIV/AIDS prevention through peer education and support in secondary<br />
schools in South Africa. Journal of Social Aspects of HIV/AIDS 2007, 4(3):678-694.<br />
174. De Wit J, Breeman L, Woertman L: Hoe beredeneerd is seksueel gedrag van jongeren?<br />
Tijdschrift voor Sociologie 2005, 29(3):125-131.<br />
175. Crone EA, van der Molen MW: Developmental changes in real life decision making:<br />
Performance on a gambling task previously shown to depend on the ventromedial<br />
prefrontal cortex. Dev Neuropsychol 2004, 25(3):251-279.<br />
176. Crone E, Bullens L, Van Der Plas A, Kijkuit E, Zelazo P: Developmental changes and<br />
individual differences in risk and perspective taking in adolescence. Development and<br />
Psychopathology 2008, 20:1213-1229.<br />
177. Mahlangu N: Understanding Sexual Abstinence and HIV Risk Reduction Strategies In<br />
Urban Xhosa Adolescent Girls. Rochester: University of Rochester; 2012.<br />
178. Bronfenbrenner U: The Ecology of Human Development: Experiments by Nature and<br />
Design: Cambridge, MA: Harvard University Press; 1979.<br />
179. Poundstone KE, Strathdee SA, Celentano DD: The social epidemiology of human<br />
immunodeficiency virus/acquired immunodeficiency syndrome. Epidemiologic<br />
Reviews 2004, 26(1):22-35.<br />
180. Price N, Knibbs S: How Effective is Peer Education in Addressing Young People's Sexual<br />
and Reproductive Health Needs in Developing Countries? Child Soc 2009, 23(4):291-<br />
302.<br />
181. Underwood C, Skinner J, Osman N, Schwandt H: Structural determinants of adolescent<br />
girls' vulnerability to HIV: Views from community members in Botswana, Malawi, and<br />
Mozambique. Soc Sci Med 2011, 73(2):343-350.<br />
182. Leclerc-Madlala S: Youth, HIV/AIDS and the importance of sexual culture and context.<br />
Soc Dynamics 2002, 28(1):20-41.<br />
183. Remes P, Renju J, Nyalali K, Medard L, Kimaryo M, Changalucha J, Obasi A, Wight D: Dusty<br />
discos and dangerous desires: community perceptions of adolescent sexual and<br />
reproductive health risks and vulnerability and the potential role of parents in rural<br />
Mwanza, Tanzania. Cult Health Sex 2010, 12(3):279-292.<br />
184. Mason-Jones AJ, Mathews C, Flisher AJ: Can Peer Education Make a Difference?<br />
Evaluation of a South African Adolescent Peer Education Program to Promote Sexual<br />
and Reproductive Health. AIDS & Behavior 2011, 15(8):1605-1611.<br />
185. Hayes R, Kapiga S, Padian N, McCormack S, Wasserheit J: HIV prevention research: taking<br />
stock and the way forward. Aids 2010, 24:S81-S92.<br />
186. Buve A: HIV epidemics in Africa: What explains the variations in HIV prevalence?<br />
Iubmb Life 2002, 53(4-5):193-195.<br />
187. Chapman R, White RG, Shafer LA, Pettifor A, Mugurungi O, Ross D, Pascoe S, Cowan FM,<br />
Grosskurth H, Buve A et al: Do behavioural differences help to explain variations in HIV<br />
prevalence in adolescents in sub-Saharan Africa? Tropical Medicine & <strong>International</strong><br />
Health 2010, 15(5):554-566.<br />
188. Pettifor AE, Levandowski BA, Macphail C, Miller WC, Tabor J, Ford C, Stein CR, Rees H, Cohen<br />
M: A Tale of Two Countries: Rethinking Sexual Risk for HIV Among Young People in<br />
South Africa and the United States. J Adolescent Health 2011, 49(3):237-U118.<br />
188<br />
Kristein.indd 188 10/25/2012 8:37:59 PM
189. Hallett TB, Gregson S, Lewis JJC, Lopman BA, Garnett GP: Behaviour change in generalised<br />
HIV epidemics: impact of reducing cross-generational sex and delaying age at sexual<br />
debut. Sex Transm Infect 2007, 83:I50-I54.<br />
190. UNFPA: Preventing HIV/AIDS among adolescents through integrated communication<br />
programmes. In. Edited by UNFPA. New York: UNFPA; 2002.<br />
191. UNESCO: Teacher Education Manual on HIV Prevention and Response. Pilot Version.<br />
In. Edited by UNESCO. Jakarta: UNESCO; 2007.<br />
192. Centers for Disease Control: A Framework for Strengthening and Sustaining HIV<br />
Prevention Programs. In. Edited by Centers for Disease Control. USA; 2006.<br />
193. Wellings F, Nanchahal K, Macdowall W, McManus S, Erens B, Mercer CH, Johnson AM, Copas<br />
AJ, Korovessis C, Fenton FA et al: Sexual behaviour in Britain: early heterosexual<br />
experience. Lancet 2001, 358(9296):1843-1850.<br />
194. Laga M, Rugg D, Peersman G, Ainsworth M: Evaluating HIV prevention effectiveness: the<br />
perfect as the enemy of the good. Aids 2012, 26(7):779-783.<br />
195. Durlak JA, DuPre EP: Implementation matters: A review of research on the influence of<br />
implementation on program outcomes and the factors affecting implementation. Am J<br />
Commun Psychol 2008, 41(3-4):327-350.<br />
196. Klepp KI, Ndeki SS, Leshabari MT, Hann PJ, Yimo BA: AIDS education in Tanzania:<br />
promoting risk reduction among primary school children. Am J Public Health 1997,<br />
87(12):1931-1936.<br />
197. Klepp KI, Ndeki SS, Seha AM, Hannan P, Lyimo BA, Msuya MH, Irema MN, Schreiner A: AIDS<br />
education for primary school children in Tanzania: an evaluation study. Aids 1994,<br />
8(8):1157-1162.<br />
198. Okonofua FE, Coplan P, Collins S, Oronsaye F, Ogunsakin D, Ogonor JT, Kaufman JA,<br />
Heggenhougen K: Impact of an intervention to improve treatment-seeking behavior<br />
and prevent sexually transmitted diseases among Nigerian youth. Int J of Infect Dis<br />
2003, 7(1):61-73.<br />
199. Celis H: Evaluation of a Peer Education based HIV/AIDS Prevention Project with<br />
Rwandan Youth. Ghent: Ghent University; 2010.<br />
200. Renju J, Andrew B, Nyalali K, Kishamawe C, Kato C, Changalucha J, Obasi A: A process<br />
evaluation of the scale up of a youth-friendly health services initiative in northern<br />
Tanzania. J Int Aids Soc 2010, 13.<br />
201. Jewkes R, Wood K, Duvvury N: 'I woke up after I joined Stepping Stones': meanings of an<br />
HIV behavioural intervention in rural South African young people's lives. Health Educ<br />
Res 2010, 25(6):1074-1084.<br />
202. Cowan FM, Pascoe SJ, Langhaug LF, Mavhu W, Chidiya S, Jaffar S, Mbizvo MT, Stephenson JM,<br />
Johnson AM, Power RM et al: The Regai Dzive Shiri project: results of a randomized<br />
trial of an HIV prevention intervention for youth. Aids 2010, 24(16):2541-2552.<br />
203. Pettifor AE, MacPhail C, Bertozzi S, Rees HV: Challenge of evaluating a national HIV<br />
prevention programme: the case of lovelife, South Africa. Sex Transm Infect 2007,<br />
83:I70-I74.<br />
189<br />
Kristein.indd 189 10/25/2012 8:38:00 PM
204. Pronyk PM, Hargreaves JR, Kim JC, Morison LA, Phetla G, Watts C, Busza J, Porter JDH: Effect<br />
of a structural intervention for the prevention of intimate-partner violence and HIV<br />
in rural South Africa: a cluster randomised trial. Lancet 2006, 368(9551):1973-1983.<br />
205. Kinsman J, Harrison S: Implementation of a comprehensive AIDS education programme<br />
for schools in Masaka district, UGanda. AIDS Care 1999, 11(5):591.<br />
206. Guttmacher Institute: Learning from Adolescents to Prevent HIV and Unintended<br />
Pregnancy. New York: Guttmacher Institute; 2007.<br />
207. Van Rossem R, Meekers D: Perceived social approval and condom use with casual<br />
partners among youth in urban Cameroon. BMC Public Health 2011, 11:632.<br />
208. McKay A, Holowaty P: Sexual health education: A study of adolescents' opinions, selfperceived<br />
needs, and current and preferred sources of information. The Canadian<br />
Journal of Human Sexuality 1997, 6:29-38.<br />
209. HeadsUp: Sex Education - Do you get enough? London: HeadsUp; 2010.<br />
210. Shiner M, Newburn T: Young People, Drugs and Peer Education: An Evaluation of the<br />
Youth Awareness Programme. London: Institute HODPIPS; 1996.<br />
211. Ross DA, Changalucha J, Obasi AI, Todd J, Plummer ML, Cleophas-Mazige B, Anemona A,<br />
Everett D, Weis HA, Mabey DC et al: Biological and Behavioural Impact of an Adolescent<br />
sexual health intervention in Tanzania: a community-randomized trial. Aids 2007,<br />
21(14):1943-1955.<br />
212. Jewkes R, Nduna M, Levin J, Jama N, Dunkle K, Puren A, Duvvury N: Impact of stepping<br />
stones on incidence of HIV and HSV-2 and sexual behaviour in rural South Africa:<br />
cluster randomised controlled trial. BMJ 2008, 337:391-395.<br />
213. Baird S, Chirwa E, McIntosh C, Ozler B: The Short-Term Impacts of a Schooling<br />
Conditional Cash Transfer Program on the Sexual Behavior of Young Women. Health<br />
Econ 2010, 19(1):55-68.<br />
214. Koblin B, Chesney M, Coates T, Mayer K, Agredano F, Aguilu E, Barahona R, Bell K, Borges C,<br />
Burnias M et al: Effects of a behavioural intervention to reduce acquisition of HIV<br />
infection among men who have sex with men: the EXPLORE randomised controlled<br />
study. Lancet 2004, 364(9428):41-50.<br />
215. Kamali A, Quigley M, Nakiyingi J, Kinsman J, Kengeya-Kayondo J, Gopal R, Ojwiya A, Hughes<br />
P, Carpenter LM, Whitworth J: Syndromic management of sexually-transmitted<br />
infections and behaviour change interventions on transmission of HIV-1 in rural<br />
Uganda: a community randomised trial. Lancet 2003, 361(9358):645-652.<br />
216. Gregson S, Adamson S, Papaya S, Mundondo J, Nyamukapa CA, Mason PR, Garnett GP,<br />
Chandiwana SK, Foster G, Anderson RM: Impact and process evaluation of integrated<br />
community and clinic-based HIV-1 control: A cluster-randomised trial in eastern<br />
Zimbabwe. PLoS Medicine 2007, 4(3):545-555.<br />
217. Corbett EL, Makamure B, Cheung YB, Dauya E, Matambo R, Bandason T, Munyati SS, Mason<br />
PR, Butterworth AE, Hayes RJ: HIV incidence during a cluster-randomized trial of two<br />
strategies providing voluntary counselling and testing at the workplace, Zimbabwe.<br />
Aids 2007, 21(4):483-489.<br />
218. Patterson TL, Mausbach B, Lozada R, Staines-Orozco H, Semple SJ, Fraga-Vallejo M,<br />
Orozovich P, Abramovitz D, de la Torre A, Amaro H et al: Efficacy of a Brief Behavioral<br />
190<br />
Kristein.indd 190 10/25/2012 8:38:00 PM
Intervention to Promote Condom Use Among Female Sex Workers in Tijuana and<br />
Ciudad Juarez, Mexico. American Journal Of Public Health 2008, 98(11):2051-2057.<br />
219. Van De Ven P, Bartholow B, Rawstorne P, Crawford J, Kippax S, Grulich A, Prestage G,<br />
Woodhouse M, Murphy D: Scaling HIV vaccine attitudes among gay men in Sydney,<br />
Australia. AIDS Res Hum Retroviruses 2002, 18(18):1333-1337.<br />
220. Hallett TB, White PJ, Garnett GP: Appropriate evaluation of HIV prevention<br />
interventions: from experiment to full-scale implementation. Sex Transm Infect 2007,<br />
83:I55-I60.<br />
221. Hallett TB, Garnett GP, Mupamberiyi Z, Gregson S: Measuring effectiveness in community<br />
randomized trials of HIV prevention. <strong>International</strong> Journal Of Epidemiology 2008,<br />
37(1):77-87.<br />
222. Padian NS, Mccoy SI, Balkus JE, Wasserheit JN: Weighing the gold in the gold standard:<br />
challenges in HIV prevention research. Aids 2010, 24(5):621-635.<br />
223. Doyle AM, Ross DA, Maganja K, Baisley K, Masesa C, Andreasen A, Plummer ML, Obasi AI,<br />
Weiss HA, Kapiga S et al: Long-term biological and behavioural impact of an adolescent<br />
sexual health intervention in Tanzania: follow-up survey of the community-based<br />
MEMA kwa Vijana Trial. PLoS Med 2010, 7(6):e1000287.<br />
224. Lessons learned from 30 years of research about the evaluation of public health<br />
communication campaigns [http://www.inpes.sante.fr/30000/<strong>pdf</strong>/colloque-<br />
9dec/Hornik.<strong>pdf</strong>, accessed 16/5/2012]<br />
225. Aral SO, Peterman TA: A stratified approach to untangling the behavioral/biomedical<br />
outcomes conundrum. Sex Transm Dis 2002, 29(9):530-532.<br />
226. Cowan FM, Pascoe SJS, Langhaug LF, Mavhu W, Chidiya S, Jaffar S, Mbizvo MT, Stephenson<br />
JM, Johnson AM, Power RM et al: The Regai Dzive Shiri project: results of a randomized<br />
trial of an HIV prevention intervention for youth. Aids 2010, 24(16):2533-2544.<br />
227. Aaro LE, Flisher AJ, Kaaya S, Onya H, Fuglesang M, Klepp KI, Schaalma H: Promoting sexual<br />
and reproductive health in early adolescence in South Africa and Tanzania:<br />
Development of a theory- and evidence-based intervention programme. Scand J Public<br />
Healt 2006, 34(2):150-158.<br />
228. Mathews C, Aarød LE, Grimsrudf A, Flisher AJ, Kaayah S, Onyai H, Schaalma H, Wubse A,<br />
Mukomac X, Klepp K-I: Effects of the SATZ teacher-led school HIV prevention<br />
programmes on adolescent sexual behaviour: cluster randomised controlled trials in<br />
three sub-Saharan African sites. <strong>International</strong> Health 2012, 4:111-122.<br />
229. Aral SO, Peterman TA: Measuring outcomes of behavioural interventions for STD/HIV<br />
prevention. Int J Std Aids 1996, 7(suppl2):30-38.<br />
230. Bastien S, Mason-Jones AJ, De Koker P, Mmbaga EJ, Ross D, Mathews C: Herpes Simplex<br />
Virus Type 2 infection as a biomarker for sexual debut among young people in sub-<br />
Saharan Africa. A literature review. Int J Std Aids 2012, in press.<br />
231. DiClemente RJ, Wingood GM, Rose E, Sales JM, Crosby RA: Evaluation of an HIV/STD<br />
Sexual Risk-Reduction Intervention for Pregnant African American Adolescents<br />
Attending a Prenatal Clinic in an Urban Public Hospital: Preliminary Evidence of<br />
Efficacy. J Pediatr Adol Gynec 2010, 23(1):32-38.<br />
191<br />
Kristein.indd 191 10/25/2012 8:38:00 PM
232. Sison JD, Gillespie B, Foxman B: Consistency of self-reported sexual behavior and<br />
condom use among current sex partners. Sex Transm Dis 2004, 31(5):278-282.<br />
233. Minnis AM, Steiner MJ, Gallo MF, Warner L, Hobbs MM, van der Straten A, Chipato T,<br />
Macaluso M, Padian NS: Biomarker validation of reports of recent sexual activity:<br />
results of a randomized controlled study in Zimbabwe. Am J Epidemiol 2009,<br />
170(7):918-924.<br />
234. Plummer ML, Ross DA, Wight D, Changalucha J, Mshana G, Wamoyi J, Todd J, Anemona A,<br />
Mosha FF, Obasi AIN et al: “A bit more truthful”: the validity of adolescent sexual<br />
behaviour data collected in rural northern Tanzania using five methods. Sex Transm<br />
Infect 2004, 80(suppl 2):ii49-ii56.<br />
235. Hewett PC, Mensch BS, Erulkar AS: Consistency in the reporting of sexual behaviour by<br />
adolescent girls in Kenya: a comparison of interviewing methods. Sex Transm Infect<br />
2004, 80(suppl 2):ii43-ii48.<br />
236. Gregson S, Zhuwau T, Ndlovu J, Nyamukapa CA: Methods to reduce social desirability<br />
bias in sex surveys in low-development settings - Experience in Zimbabwe. Sex Transm<br />
Dis 2002, 29(10):568-575.<br />
237. Fenton KA, Johnson AM, McManus S, Erens B: Measuring sexual behaviour:<br />
methodological challenges in survey research. Sex Transm Infect 2001, 77(2):84-92.<br />
238. van de Mortel TF: Faking it: social desirability response bias in self-report research.<br />
Aust J Adv Nurs 2008, 25(4):40-48.<br />
239. Morrison-Beedy D, Carey MP, Tu X: Accuracy of audio computer-assisted selfinterviewing<br />
(ACASI) and self-administered questionnaires for the assessment of<br />
sexual behavior. AIDS & Behavior 2006, 10(5):541-552.<br />
240. Rose E, DiClemente RJ, Wingood GM, Sales JM, Latham TP, Crosby RA, Zenilman J, Melendez<br />
J, Hardin J: The Validity of Teens' and Young Adults' Self-reported Condom Use. Arch<br />
Pediat Adol Med 2009, 163(1):61-64.<br />
241. Hyman JM, Li J: An intuitive formulation for the reproductive number for the spread of<br />
diseases in heterogeneous populations. Math Biosci 2000, 167(1):65-86.<br />
242. Pequegnat W, Fishbein M, Celentano D, Ehrhardt A, Garnett G, Holtgrave D, Jaccard J,<br />
Schachter J, Zenilman J: NIMH/APPC Workgroup on Behavioral and Biological<br />
Outcomes in HIV/STD Prevention Studies - A position statement. Sex Transm Dis 2000,<br />
27(3):127-132.<br />
243. Zenilman JM: Gonorrhea, chlamydia and the sexual network - Pushing the envelope.<br />
Sex Transm Dis 2000, 27(4):224-225.<br />
244. Fishbein M, Jarvis B: Failure to find a behavioral surrogate for STD incidence - What<br />
does it really mean? Sex Transm Dis 2000, 27(8):452-455.<br />
245. Zenilman JM, Weisman CS, Rompalo AM, Ellish N, Upchurch DM, Hook EW, Celentano D:<br />
Condom Use to Prevent Incident Stds - the Validity of Self-Reported Condom Use. Sex<br />
Transm Dis 1995, 22(1):15-21.<br />
246. Peterman TA, Lin LS, Newman DR, Kamb ML, Bolan G, Zenilman J, Douglas JM, Rogers J,<br />
Malotte CK, Grp PRS: Does measured behavior reflect STD risk? An analysis of data<br />
from a randomized controlled behavioral intervention study. Sex Transm Dis 2000,<br />
27(8):446-451.<br />
192<br />
Kristein.indd 192 10/25/2012 8:38:00 PM
247. Shain RN, Perdue ST, Piper JM, Holden AEC, Champion JD, Newton ER, Korte JE: Behaviors<br />
changed by intervention are associated with reduced STD recurrence - The<br />
importance of context in measurement. Sex Transm Dis 2002, 29(9):520-529.<br />
248. Beauclair R, Delva W, Welte A, Vansteelandt S, Hens N, Aerts M, du Toit E, Beyers N,<br />
Temmerman M: Age-disparity, sexual connectedness and HIV infection in<br />
disadvantaged communities around Cape Town, South Africa: a study protocol. BMC<br />
Public Health 2011, 11.<br />
249. Van Decraen E, <strong>Michielsen</strong> K, Olawaiye D, Van Rossem R, Herbots S, Temmerman M: Sexual<br />
coercion among young people in Rwanda: correlates of victimization and normative<br />
acceptance. Afr J Reprod Health 2012, 16(3):139-163.<br />
250. Bertozzi SM, Laga M, Bautista-Arredondo S, Coutinho A: HIV prevention 5 - Making HIV<br />
prevention programmes work. Lancet 2008, 372(9641):831-844.<br />
251. Aral SO, Lipshutz J, Blanchard J: Drivers of STD/HIV epidemiology and the timing and<br />
targets of STD/HIV prevention. Sex Transm Infect 2007, 83:I1-I4.<br />
252. Bajos N, Bozon M, Beltzer N, Laborde C, Andro A, Ferrand M, Goulet V, Laporte A, Le Van C,<br />
Leridon H et al: Changes in sexual behaviours: from secular trends to public health<br />
policies. Aids 2010, 24(8):1185-1191.<br />
253. Decat P, De Meyer S, Kerstens B, Jaruseviciene L: “Bringing complex health issues into<br />
pole position for action”: a mapping experience of adolescents’ sexual health in Latin<br />
America. Submitted to the Second Symposiun on Health Systems Research, Beijing<br />
31/10/2012.<br />
254. Piot P, Bartos M, Larson H, Zewdie D MP: Coming to terms with complexity: a call to<br />
action for HIV prevention. Lancet 2008, 372(9652):845-859.<br />
255. Ingledew DK, Ferguson E: Personality and riskier sexual behaviour: Motivational<br />
mediators. Psychology & Health 2007, 22(3):291-315.<br />
256. Henderson VR, Hennessy M, Barrett DW, Martin S, Fishbein M: Tell me more: Sensation<br />
seeking and information seeking in evaluating romantic partners. J Res Pers 2006,<br />
40(5):611-630.<br />
257. Buffardi AL, Thomas KK, Holmes KK, Manhart LE: Moving upstream: Ecosocial and<br />
psychosocial correlates of sexually transmitted infections among young adults in the<br />
United States. American Journal Of Public Health 2008, 98(6):1128-1136.<br />
258. Plummer ML, Wight D, Obasi AIN, Changalucha J, Hayes RJ, Ross DA: AIDS education<br />
programmes hit some targets: improving youth HIV prevention by sharing resources<br />
and better addressing community norms and concurrency. Aids 2011, 25(8):1139-<br />
1141.<br />
259. Madlin C, Balkus JE, Padian N: Report to the UNAIDS HIV Prevention Reference Group<br />
on Developing Minimum Quality Standards for HIV Prevention Interventions. Geneva:<br />
UNAIDS; 2008.<br />
260. Sweat M: Report to the Joint United Nations Programme on HIV/AIDS: a Framework<br />
for Classifying HIV prevention interventions. Geneva: UNAIDS; 2008.<br />
261. Centers for Disease Control and Prevention: HIV/AIDS Prevention Research Synthesis<br />
Project. Compendium of HIV Prevention Interventions with Evidence of Effectiveness.<br />
Atlanta, GA: Centers for Disease Control and Prevention; 1999 (revised (2001, 2009).<br />
193<br />
Kristein.indd 193 10/25/2012 8:38:00 PM
262. Centers for Disease Control and Prevention: Prevention Program Evaluation Material<br />
Database. Atlanta, GA: <strong>Centre</strong>s for Disease Control and Prevention.<br />
263. USAID: Handbook of Indicators for HIV/AIDS/STI Programs. Washington, DC: USAID;<br />
2000.<br />
264. Development Experience Clearinghouse [https://dec.usaid.gov/dec/home/Default.aspx,<br />
accessed 19/9/2012]<br />
265. Blanchard J, Aral O: Progam Science: an initiative to improve the planning,<br />
implementation and evaluation of HIV/sexually transmited infection prevention<br />
programmes. Sex Transm Dis 2011, 87:2-3.<br />
266. Blanchard J: Program Science: the new focus in prevention. In: American Public health<br />
Association 136th Annual Meeting: 2008; San Diego, California; 2008.<br />
267. Aral SO, Blanchard JF: The Program Science initiative: improving the planning,<br />
implementation and evaluation of HIV/STI prevention programs. Sex Transm Infect<br />
2012, 88(3):157-159.<br />
268. Aral O: Gap between science and program. In: American Public Health Association 136th<br />
Annual Meeting: 2008; San Diego, California; 2008.<br />
<br />
194<br />
Kristein.indd 194 10/25/2012 8:38:00 PM
Annex<br />
Paper 7<br />
Delva, W., <strong>Michielsen</strong>, K., Meulders, B., Groeninck, S., Wasonga, E., Ajwang, P., Temmerman,<br />
M., Vanreusel, B. (2010), HIV prevention through sport: the case of the Mathare<br />
Youth Sport Association in Kenya, AIDS Care, Aug;22(8):1012-20.<br />
<br />
195<br />
Kristein.indd 195 10/25/2012 8:38:00 PM
196<br />
Kristein.indd 196 10/25/2012 8:38:09 PM
197<br />
Kristein.indd 197 10/25/2012 8:38:09 PM
198<br />
Kristein.indd 198 10/25/2012 8:38:09 PM
199<br />
Kristein.indd 199 10/25/2012 8:38:09 PM
200<br />
Kristein.indd 200 10/25/2012 8:38:10 PM
201<br />
Kristein.indd 201 10/25/2012 8:38:13 PM
202<br />
Kristein.indd 202 10/25/2012 8:38:13 PM
203<br />
Kristein.indd 203 10/25/2012 8:38:13 PM
204<br />
Kristein.indd 204 10/25/2012 8:38:13 PM
Paper 8<br />
Stroeken, K., <strong>Michielsen</strong>, K., Remes, P.,Meeuwis, M. The region-sensitive effect of globalization<br />
on HIV in Eastern and Southern Africa: The dual role of education. Submitted to<br />
AIDS & Behavior (08/2012)<br />
205<br />
Kristein.indd 205 10/25/2012 8:38:13 PM
Powered by Editorial Manager® and Preprint Manager® from Aries Systems Corporation<br />
206<br />
Kristein.indd 206 10/25/2012 8:38:14 PM
207<br />
Kristein.indd 207 10/25/2012 8:38:21 PM
208<br />
Kristein.indd 208 10/25/2012 8:38:29 PM
209<br />
Kristein.indd 209 10/25/2012 8:38:37 PM
210<br />
Kristein.indd 210 10/25/2012 8:38:44 PM
211<br />
Kristein.indd 211 10/25/2012 8:38:52 PM
212<br />
Kristein.indd 212 10/25/2012 8:39:00 PM
213<br />
Kristein.indd 213 10/25/2012 8:39:08 PM
214<br />
Kristein.indd 214 10/25/2012 8:39:16 PM
215<br />
Kristein.indd 215 10/25/2012 8:39:24 PM
216<br />
Kristein.indd 216 10/25/2012 8:39:32 PM
217<br />
Kristein.indd 217 10/25/2012 8:39:40 PM
218<br />
Kristein.indd 218 10/25/2012 8:39:49 PM
219<br />
Kristein.indd 219 10/25/2012 8:39:57 PM
220<br />
Kristein.indd 220 10/25/2012 8:40:04 PM
221<br />
Kristein.indd 221 10/25/2012 8:40:13 PM
222<br />
Kristein.indd 222 10/25/2012 8:40:21 PM
223<br />
Kristein.indd 223 10/25/2012 8:40:29 PM
224<br />
Kristein.indd 224 10/25/2012 8:40:36 PM
225<br />
Kristein.indd 225 10/25/2012 8:40:45 PM
226<br />
Kristein.indd 226 10/25/2012 8:40:53 PM
227<br />
Kristein.indd 227 10/25/2012 8:41:00 PM
228<br />
Kristein.indd 228 10/25/2012 8:41:08 PM
229<br />
Kristein.indd 229 10/25/2012 8:41:16 PM
230<br />
Kristein.indd 230 10/25/2012 8:41:24 PM
231<br />
Kristein.indd 231 10/25/2012 8:41:31 PM
232<br />
Kristein.indd 232 10/25/2012 8:41:39 PM
233<br />
Kristein.indd 233 10/25/2012 8:41:47 PM
234<br />
Kristein.indd 234 10/25/2012 8:41:55 PM
235<br />
Kristein.indd 235 10/25/2012 8:42:02 PM
236<br />
Kristein.indd 236 10/25/2012 8:42:10 PM
237<br />
Kristein.indd 237 10/25/2012 8:42:18 PM
238<br />
Kristein.indd 238 10/25/2012 8:42:25 PM
239<br />
Kristein.indd 239 10/25/2012 8:42:33 PM
240<br />
Kristein.indd 240 10/25/2012 8:42:41 PM
241<br />
Kristein.indd 241 10/25/2012 8:42:46 PM
242<br />
Kristein.indd 242 10/25/2012 8:42:54 PM
243<br />
Kristein.indd 243 10/25/2012 8:43:02 PM
244<br />
Kristein.indd 244 10/25/2012 8:43:09 PM
245<br />
Kristein.indd 245 10/25/2012 8:43:17 PM
246<br />
Kristein.indd 246 10/25/2012 8:43:25 PM
247<br />
Kristein.indd 247 10/25/2012 8:43:32 PM
248<br />
Kristein.indd 248 10/25/2012 8:43:40 PM
249<br />
Kristein.indd 249 10/25/2012 8:43:47 PM
250<br />
Kristein.indd 250 10/25/2012 8:43:54 PM
251<br />
Kristein.indd 251 10/25/2012 8:43:54 PM
252<br />
Kristein.indd 252 10/25/2012 8:43:54 PM