Open AccessComparison of HIV Prevalence Among Antenatal Clinic Attendees Estimated from Routine Testing and Unlinked Anonymous Testing
Author(s) -
Ben Sheng,
Jeffrey W. Eaton,
Mary Mahy,
Le Bao
Publication year - 2020
Publication title -
statistics in biosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.57
H-Index - 14
eISSN - 1867-1772
pISSN - 1867-1764
DOI - 10.1007/s12561-020-09265-4
Subject(s) - medicine , biostatistics , demography , calibration , human immunodeficiency virus (hiv) , population , developing country , environmental health , standard deviation , statistics , pediatrics , public health , family medicine , mathematics , biology , nursing , sociology , ecology
In 2015, WHO and UNAIDS released new guidance recommending that countries transition from conducting antenatal clinic (ANC) unlinked anonymous testing (ANC-UAT) for tracking HIV prevalence trends among pregnant women to using ANC routine testing (ANC-RT) data, which are more consistent and economic to collect. This transition could pose challenges for distinguishing whether changes in observed prevalence are due to a change in underlying population prevalence or due to a change in the testing approach. We compared the HIV prevalence measured from ANC-UAT and ANCRT in 15 countries that had both data sources in overlapping years. We used linear mixed-e effects model (LMM) to estimate the RT-to-UAT calibration parameter as well as other unobserved quantities. We summarized the results at different levels of aggregation (e.g., country, urban, rural, and province). Based on our analysis, the HIV prevalence measured by ANC-UAT and ANC-RT data are consistent in most countries. Therefore, if large discrepancy is observed between ANC-UAT and ANC-RT at the same location, we recommend that people should be cautious and investigate the reason. For countries that lack information to estimate the calibration parameter, we propose an informative prior distribution of mean 0 and standard deviation 0.2 for the RT-to-UAT calibration parameter.