presentation - SACEMA

OUTLINEBACKGROUNDSTUDY OBJECTIVESMETHODOLOGYPROPOSED TIME LINEANTICIPATED STUDY LIMITATIONSACKNOWLEDGEMENTS

BACKGROUNDNon-communicable diseases (NCD’s) have become more prevalent andhave increased alarmingly globally with estimates that by the year 2020they will account for 80% of the global disease burden.The WHO estimates that by 2020, NCD’s will cause 79% ofmortalities in developing countries.

BACKGROUND (continued)Diabetes is one of the leading NCD’s and estimates show that by2020, diabeteswould have affected 366 million people of which 298 million will be fromdeveloping countries.SADA stats show that approximately 6,5 million people in SA have diabetes.Diabetes is key because it is an underlying disease factor for the development ofother NCD‘s. Lifestyle is a major determinant in the development of diabetes and most at riskare communities undergoing rapid lifestyle changes.Black communities are severely affected with an indication of the onset ofdiabetes among black people between 22-23 years.WHO Media report (Diabetes)International Diabetes Federation [online 2011]Diabetes South Africa [Online 2011]

BACKGROUND (Traditional Medicine) According to the WHO, 80% of Africans still rely on Traditionalherbal medicine (THM) as a primary source of health. Even with the availability of free health care, there has been anobserved increase among traditional medicine users. People who suffer from severe life altering diseases such as diabetes,have been shown to use multiple forms of therapy. Medical pluralism is a known practice and with the increased diseaseburden this trend has been on the rise. Lack of literature on issues surrounding diabetes treatment,management and usage of THM.

RESEARCH QUESTION & STUDY OBJECTIVESWhat is the prevalence of people with diabetesusing THM and allopathic medicine?– To document the prevalence of traditional herbalmedicines use in the management of diabetes.– To investigate the concurrent use of traditionalherbal medicine and allopathic medicine amongdiabetes patients.– To understand patient decisions behind the use oftraditional medicine.

METHODOLOGYMethods to be used are from the PURE study.– A multi-country longitudinal study involving 17High, middle and low income countries– The study hypothesizes epidemiologic transition asthe cause of some chronic diseases of lifestyle (CDL).– It is estimated that 80% of CDLs will occur in Lowand middle-income countries but remains the leadingcause in high income countries.

Objectives of the PURE studyMETHODOLOGY– Whether changes in urbanization are associated with variations in lifestylesand risk factors– How changes in individual (lifestyle) are affected by changes in communitylevel factors (e.g. mechanization, access to health care) are related tovariations in risk factors and disease rates/disability– How the above vary in different regions of a country or across countries– Identify predictors of disease.– To track risk factor changes and disease rates over time in the communitiesstudied.

METHODOLGY (continued)South Africa is part of this studyTwo Sites– Urban Site (Langa) in the Western Cape Province– Rural Site (Mount Frere) Eastern Cape Province– 2000participants recruited from each site– Inclusion criteria– men or women aged 18 years and older.– Patients living within the study area.– A diagnosis of diabetes.

STUDY DESIGNMethodQuantitative cross-sectional descriptive studyPopulation and settingStudy cohort:Adult males and females will berecruited from the PURE Studycohort from the 2 sites●Langa- urban townshipin Cape Town in theWestern Cape Province.●Mount Frere- ruralcommunity in theEastern Cape Province.Structures questionnairescollected information on:– Demographics– THM use for diabetes– Type of THM use– Duration of THM use– Reasons for coutilizationof THM andallopathic medicine

METHODOLOGY (Continued)Ethical Considerations Ethical clearance for the study will be obtained from the Senate researchcommittee of the University of the Western Cape.Data AnalysisData will be analysed using SPSS version 17.0 for windows.Standard descriptive measures along with univariate and bivariate analysiswill be performed.p-value of

PROPOSED TIME LINETIME 2012 2013ACTIVITYFeb­MarApril May June­JulyAug­Sep Oct­Nov Feb­Apr May­JulyAug­SepNovLiteraturereviewProposal WritingEthical approvalapplicationprocessThesis write upField datacollectionData analysisThesisSubmission

ANTICIPATED STUDY LIMITATIONSLimited number of participants from thenon-random selection process.Pure data has uneven number of participantsin the two areas.

ACKNOWLEDGEMENTSProfessor Gail Hughes (Supervisor)Professor Thandi PuoaneDr O. AboyadeSAHSMISACEMA

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