ArticleBMC public health2020
Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 28 citations in OpenAlex.
- Effects of a Combination Economic Empowerment and Family Strengthening Intervention on Psychosocial Well-being Among Ugandan Adolescent Girls and Young Women: Analysis of a Cluster Randomized Controlled Trial (Suubi4Her).The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023Trial
- Measurement of maternal mortality, United Republic of Tanzania.Bulletin of the World Health Organization · 2026Article
- Examining the potential of mobile money-based health insurance for people living with HIV and hypertension or diabetes in Uganda.Frontiers in health services · 2026Article
- Long-acting injectable antiretroviral treatment: experiences of people with HIV and their healthcare providers in Uganda.BMC infectious diseases · 2024Article
- Article
- Patient experiences of sexual dysfunction after transition to dolutegravir-based HIV treatment in mid-Western Uganda: a qualitative study.BMC infectious diseases · 2022Article
- Trends of notification rates and treatment outcomes of tuberculosis cases with and without HIV co-infection in eight rural districts of Uganda (2015 - 2019).BMC public health · 2022Article
- Estimating district HIV prevalence in Zambia using small-area estimation methods (SAE).Population health metrics · 2022Article
- 'When will the doctor be around so that I come by?!' Geo-socio effects on health care supply, access and utilisation: experiences from Kalangala Islands, Uganda.BMC health services research · 2021Review
- Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa.Journal of the International AIDS Society · 2021Article
- Dispensing antiretrovirals during Covid-19 lockdown: re-discovering community-based ART delivery models in Uganda.BMC health services research · 2021Article
- Comparison of cohort characteristics in Central Africa International Epidemiology Databases to Evaluate AIDS and Demographic Health Surveys: Rwanda and Burundi.International journal of STD & AIDS · 2021Article
- Subnational estimates of factors associated with under-five mortality in Kenya: a spatio-temporal analysis, 1993-2014.BMJ global health · 2021Article
- Malaria micro-stratification using routine surveillance data in Western Kenya.Malaria journal · 2021Article
- Model-based small area estimation methods and precise district-level HIV prevalence estimates in Uganda.PloS one · 2021Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundNational or regional population-based HIV prevalence surveys have small sample sizes at district or sub-district levels; this leads to wide confidence intervals when estimating HIV prevalence at district level for programme monitoring and decision making. Health facility programme data, collected during service delivery is widely available, but since people self-select for HIV testing, HIV prevalence estimates based on it, is subject to selection bias. We present a statistical annealing technique, Hybrid Prevalence Estimation (HPE), that combines a small population-based survey sample with a facility-based sample to generate district level HIV prevalence estimates with associated confidence intervals.
methodsWe apply the HPE methodology to combine the 2011 Uganda AIDS indicator survey with the 2011 health facility HIV testing data to obtain HIV prevalence estimates for districts in Uganda. Multilevel logistic regression was used to obtain the propensity of testing for HIV in a health facility, and the propensity to test was used to combine the population survey and health facility HIV testing data to obtain the HPEs. We assessed comparability of the HPEs and survey-based estimates using Bland Altman analysis.
resultsThe estimates ranged from 0.012 to 0.178 and had narrower confidence intervals compared to survey-based estimates. The average difference between HPEs and population survey estimates was 0.00 (95% CI: - 0.04, 0.04). The HPE standard errors were 28.9% (95% CI: 23.4-34.4) reduced, compared to survey-based standard errors. Overall reduction in HPE standard errors compared survey-based standard errors ranged from 5.4 to 95%.
conclusionsFacility data can be combined with population survey data to obtain more accurate HIV prevalence estimates for geographical areas with small population survey sample sizes. We recommend use of the methodology by district level managers to obtain more accurate HIV prevalence estimates to guide decision making without incurring additional data collection costs.
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