Significant Uganda Limited

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Significant (Uganda) Limited offers Public Health Programme Monitoring & Evaluation, Statistical & Social Research Consultancy services to International, National and Community-Based Organisations and to individuals. We are a team of consultants with wide and many years of experience in these areas. We are based in Kampala-UGANDA. For details on how we can help you or your Organisation set up a functional Monitoring & Evaluation system; plan, design, implement and manage a Public Health or Social Research and related undertakings, contact us today on: [email protected].

Background: Given the prolonged and revived life that HAART brings, there is a concern that this may result in increased spread of HIV. Studies however have produced varied results regarding the effect of HAART on s*xual behaviour. A study was carried out that sought to establish whether there is a relationship between HAART initiation and change in risky s*xual behaviour using HAART-naïve clients as a control group.
Methods: A cohort study was carried out using routine secondary data. Stratified sampling with simple random sampling within strata was used to select the sample of size 340 (170 on HAART and 170 HAART-naïve; 68 males and 272 females). HAART status of the clients formed the stratifying variable. Only clients aged 15 – 40 at start of the study were included in the study. The study used a method suggested by Bell and Trevino to determine clients’ two-year s*xual risk indices at and after the base period, 2007. Backward hierarchical elimination was method was used to arrive at the final logistic regression model containing only significant variables.
Results: After adjusting for s*x, education level, religion, TASO branch, alcohol use, number of children alive, baseline s*xual risk index, age, number of counselling session in the study period, duration in care, occupation and residence, HAART was not a significant predictor of change in risky s*xual behaviour (OR: 0.976; 95% CI: 0.63 to 1.511; p=0.912). Instead, significant co-factors were: baseline risk (adjusted OR for a 0.0001 change in baseline risk: 1.603; 95% CI: 1.181 to 2.175; p=0.003); age of the client (adjusted OR: 1.11; 95% CI: 1.048 to 1.176; p