Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda
| العنوان: | Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda |
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| المؤلفون: | Joseph Ouma, Caroline Jeffery, Jim Todd, Rhoda K. Wanyenze, Jonathan Levin, Joseph J. Valadez |
| المصدر: | BMC Public Health, Vol 20, Iss 1, Pp 1-14 (2020) BMC Public Health |
| بيانات النشر: | BMC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Male, Databases, Factual, wc_503, HIV Infections, Population survey, 0302 clinical medicine, Surveys and Questionnaires, Prevalence, Mass Screening, Uganda, 030212 general & internal medicine, media_common, wa_105, education.field_of_study, Data Collection, lcsh:Public aspects of medicine, 1. No poverty, Hybrid Prevalence Estimate, wa_100, 3. Good health, Female, Research Article, wc_503_4, Adult, media_common.quotation_subject, wc_503_6, 030231 tropical medicine, Population, wa_395, Combining, 03 medical and health sciences, Acquired immunodeficiency syndrome (AIDS), Bias, Environmental health, medicine, Humans, Serologic Tests, education, Selection Bias, Selection bias, Estimation, Data collection, business.industry, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, medicine.disease, Confidence interval, Health Information System, Standard error, Logistic Models, Sample size determination, District Health Information System, Health Facilities, business |
| الوصف: | Background National 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. Methods We 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. Results The 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%. Conclusions Facility 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. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1471-2458 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f78cc5946d98385b2d919896c023751aTest http://link.springer.com/article/10.1186/s12889-020-8436-zTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....f78cc5946d98385b2d919896c023751a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14712458 |
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