Improving Sampling Efficiency for Determining Pediatric HIV Prevalence in National Surveys: Evidence From 8 Sub-Saharan African Countries. (1st August 2021)

• Record Type: Journal Article
• Authors: Reid, Giles; Voetsch, Andrew C.; Stupp, Paul; McCracken, Stephen; Kalton, Graham; Dlamini, Sindisiwe; McOllogi Juma, James; Kalua, Thoko; Kirungi, Wilford; Koto, Masebeo; Mugurungi, Owen; Mulenga, Lloyd; Mutenda, Nicholus; Marum, Lawrence; Saito, Suzue
• Is Part Of: Journal of acquired immune deficiency syndromes. Volume 87(2021)Supplement
• Page Start: S43
• Page End: S51
• Publication Date: 2021-08-01
• Subjects: children -- adolescents -- HIV/AIDS -- sample design -- survey -- PHIA; AIDS (Disease) -- Periodicals; Acquired Immunodeficiency Syndrome -- Periodicals; AIDS (Disease); Periodicals; 616.9792005
• DOI: 10.1097/QAI.0000000000002704
• Languages: English
• ISSNs: 1525-4135

Abstract

Abstract : Background: Measurement of mother-to-child HIV transmission through population-based surveys requires large sample sizes because of low HIV prevalence among children. We estimate potential improvements in sampling efficiency resulting from a targeted sample design. Setting: Eight countries in sub-Saharan Africa with completed Population‐based HIV Impact Assessment (PHIA) surveys as of 2017. Methods: The PHIA surveys used a geographically stratified 2-stage sample design with households sampled from randomly selected census enumeration areas. Children (0–14 years of age) were eligible for HIV testing within a random subsample of households (usually 50%). Estimates of child HIV prevalence in each country were calculated using jackknife replicate weights. We compared sample sizes and precision achieved using this design with a 2-phase disproportionate sample design applied to strata defined by maternal HIV status and mortality. Results: HIV prevalence among children ranged from 0.4% (95% confidence interval: 0.2 to 0.6) in Tanzania to 2.8% (95% confidence interval: 2.2 to 3.4) in Eswatini with achieved relative standard errors between 11% and 21%. The expected precision improved in the targeted design in all countries included in the analysis, with proportionate reductions in mean squared error ranging from 27% in Eswatini to 61% in Tanzania, assuming an equal sample size. Conclusions: Population-based surveys of adult HIV prevalence that also measure child HIV prevalence should consider targeted sampling of children to reduce required sample size, increase precision, and increase the number of positive children tested. The findings from the PHIA surveys can be used as baseline data for informing future sample designs.