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Behavioural Surveillance Surveys - The Wisdom of Whores

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<strong>The</strong> standard questionnaires are accompanied<br />

by additional modules that allow for the<br />

calculation <strong>of</strong> a number <strong>of</strong> other indicators<br />

that have traditionally been collected in<br />

Knowledge, Attitudes, Behaviors and Practices<br />

(KABP) surveys. <strong>The</strong>se include measures <strong>of</strong><br />

risk perception and health-seeking behavior.<br />

<strong>The</strong>se have not been included in the list <strong>of</strong><br />

indicators cited here, because experience has<br />

shown that trends over time in these indicators<br />

are difficult to interpret. It is strongly recommended<br />

that more qualitative data collection<br />

techniques that better explain the reasons<br />

behind such attitudes or behaviors be used<br />

in monitoring these types <strong>of</strong> responses to HIV.<br />

Countries conducting BSS may want to<br />

add a few indicators to the list presented here,<br />

to look at aspects <strong>of</strong> risk behavior and<br />

prevention which are particularly relevant to<br />

their programs. In selecting and defining such<br />

indicators, care should be taken to ensure that<br />

they meet the above criteria.<br />

<strong>The</strong> importance <strong>of</strong> being precise<br />

All the indicators chosen here are very<br />

carefully defined. It is absolutely vital<br />

(in defining an indicator as well as in analyzing<br />

and presenting the data) that the numerator,<br />

the denominator and the time reference<br />

period be precisely defined. <strong>The</strong> exact<br />

definition for any terms open to interpretation<br />

(such as “commercial sex” or “non-regular<br />

partner”) should also be given.<br />

<strong>The</strong> denominator, particularly, is a frequent<br />

source <strong>of</strong> confusion. Some indicators are<br />

calculated using all respondents in the<br />

denominator, while others restrict the denominator<br />

to only those respondents who report a<br />

certain behavior, for example only those who<br />

have had sex in the past year, or only those<br />

who have had sex with a non-regular partner<br />

in the last year. <strong>The</strong> denominator for similar<br />

indicators sometimes differs according to the<br />

sub-population surveyed. For example,<br />

for reasons that are given below, indicators<br />

<strong>of</strong> multiple partnerships for young people<br />

include all respondents in the denominator,<br />

one word whereas the equivalent indicator<br />

for adults includes in the denominator only<br />

those who have had sex in the past year.<br />

<strong>The</strong> standardized indicators have been<br />

developed following long years <strong>of</strong> trial<br />

(and a fair bit <strong>of</strong> error) in dozens <strong>of</strong> countries<br />

and situations around the world. It is strongly<br />

recommended that standard definitions be<br />

used, and changes to the standard definitions<br />

should not be made lightly. However, if there<br />

is a compelling reason to change any parameter<br />

<strong>of</strong> a standardized indicator, it is absolutely vital<br />

that changes are clearly stated and carefully<br />

defined, so that the indicator can be measured<br />

the same way in future rounds <strong>of</strong> behavioral<br />

surveillance.<br />

Limitations <strong>of</strong> indicators<br />

Indicators are just that. <strong>The</strong>y give an<br />

indication <strong>of</strong> the magnitude or direction <strong>of</strong><br />

changes over time. <strong>The</strong>y can not, however,<br />

tell managers much about why the changes<br />

have or have not occurred, and so are not<br />

always useful for diagnostic purposes. For these<br />

purposes, other types <strong>of</strong> data are needed in<br />

conjunction with the indicators specified here.<br />

In particular, measures are needed <strong>of</strong> the first<br />

two aspects <strong>of</strong> programming mentioned above<br />

(was the intervention delivered ? Did it reach<br />

its intended audience). Qualitative data is<br />

also needed to answer the “why?” question.<br />

Alone, the indicators discussed here are not<br />

able to attribute measured changes to a<br />

particular intervention.<br />

B EHAV I OR A L S U R V EI L L A NC E SURV EY S CHAPTER 9<br />

95

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