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Response, and Quality in Zimbabwe, Malawi, and Zambia
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8 01 2021
Source: J Acquir Immune Defic Syndr. 87(Suppl 1):S6-S16 -
Alternative Title:J Acquir Immune Defic Syndr
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Personal Author:
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Description:Background:
The Population-based HIV Impact Assessment (PHIA) surveys are among the first to estimate national adult HIV incidence, subnational prevalence of viral load suppression (VLS) and pediatric HIV prevalence. We summarize the survey methods implemented in Zimbabwe, Malawi, and Zambia, as well as response rates and quality metrics.
Methods:
Each cross-sectional, household-based survey used a two-stage cluster design. Survey preparations included sample design, questionnaire development, tablet programming for informed consent and data collection, community mobilization, establishing a network of satellite laboratories, and fieldworker training. Interviewers collected demographic, behavioral, and clinical information using tablets. Blood was collected for home-based HIV testing and counselling (HBTC) and point-of-care (PoC) CD4+ T-cell enumeration with results immediately returned. HIV-positive blood samples underwent laboratory-based confirmatory testing, HIV incidence testing, RNA PCR (viral load), DNA PCR (early infant diagnosis), and serum antiretroviral drug (ARV) detection. Data were weighted for survey design and chi square automatic interaction detection (CHAID)-based methods were used to adjust for non-response.
Results:
Each survey recruited a nationally representative, household-based sample of children and adults over a 6–10-month period in 2015 and 2016. Most (84%–90%) of the 12,000–14,000 eligible households in each country participated in the survey, with 77%–81% of eligible adults completing an interview and providing blood for HIV testing. Among eligible children, 59%–73% completed HIV testing. Across the three surveys, 97.8% of interview data were complete and had no errors.
Conclusion:
Conducting a national population-based HIV impact assessment with immediate return of HIV and other PoC test results was feasible and data quality was high.
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Pubmed ID:34166308
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Pubmed Central ID:PMC8650710
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