Evidence map›Paper›PMID 40038637›Full record

ArticleBMC infectious diseases2025

Exploring the validity of routine individuated service data for antenatal HIV surveillance in the Western Cape.

Nisha Jacob, Brian Rice, Alexa Heekes, Leigh F Johnson, Samantha Brinkmann, Tendesayi Kufa, Adrian Puren, Andrew Boulle

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nisha JacobSchool of Public Health, University of Cape Town, Cape Town, South Africa. nisha.jacob@uct.ac.za.
Brian RiceUniversity of Sheffield, Sheffield, UK.
Alexa HeekesSchool of Public Health, University of Cape Town, Cape Town, South Africa.
Leigh F JohnsonSchool of Public Health, University of Cape Town, Cape Town, South Africa.
Samantha BrinkmannWestern Cape Government: Health and Wellness, Cape Town, South Africa.
Tendesayi KufaCenter for HIV and STI, National Institute for Communicable Diseases, Johannesburg, South Africa.
Adrian PurenCenter for HIV and STI, National Institute for Communicable Diseases, Johannesburg, South Africa.
Andrew BoulleSchool of Public Health, University of Cape Town, Cape Town, South Africa.

Funding

East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Leslie Anne Enane, AGGREY SEMWENDERO SEMEERE · 2006 to 2026
$57.7M
B positive_A population based evaluation of expanded ART access in pregnancyR01HD080465 · NICHD · UNIVERSITY OF CAPE TOWN · PI KALK, EMMA KATE · 2014 to 2019
$4.3M
Bill and Melinda Gates Foundation 1164272; 1191327; INV-004657Gates Foundation INV-004657NIAID NIH HHS U01 AI069911NICHD NIH HHS R01 HD080465United States Agency for International Development 72067418CA00023US National Institutes of Health R01HD080465, U01AI069911Wellcome TrustWellcome Trust 203135/Z/16/Z
6 · The paper itself

Abstract

backgroundMonitoring progress of HIV programmes is reliant on robust surveillance. The WHO Consolidated guidelines on person-centred HIV strategic information recommend moving towards using routine programmatic data for HIV surveillance rather than seroprevalence surveys which are costly and inefficient. In the Western Cape province of South Africa, public-sector individual-level routine data from various sources are linked on a unified platform through the Provincial Health Data Centre (PHDC). This allows monitoring of provincial antenatal HIV seroprevalence over time. We assessed the validity of these routine individuated data compared to aggregated program data and population-wide sentinel antenatal HIV seroprevalence surveys for the Western Cape.

methodsWe conducted a retrospective cohort analysis of pregnancies identified in the PHDC from January 2011 to December 2020. Unique identifiers were used to link antenatal and HIV care records from routine electronic systems. HIV prevalence estimates were compared with available antenatal seroprevalence survey estimates and register-based aggregate program data from the District Health Information System. Provincial, district-level and age-group HIV prevalence estimates were compared between data systems using correlation coefficients, absolute differences and trend analysis.

resultsOf the 977,800 pregnancies ascertained, PHDC HIV prevalence estimates from 2011 to 2013 were widely disparate from aggregate and survey data (due to incomplete electronic data), whereas from 2014 onwards, estimates were within the 95% confidence interval of survey estimates, and closely correlated to aggregate data estimates (r = 0.8; p = 0.01), with an average prevalence difference of 0.4%. PHDC data show a slow but steady increase in provincial HIV prevalence from 16.7% in 2015 to 18.6% in 2020. The highest HIV prevalence was in the Cape Metro district (20.3%) Prevalence estimates by age group were comparable between sentinel surveys and PHDC from 2015 onwards, with prevalence estimates stable over time among younger age-groups (15-24 years) but increased among older age-groups (> 34 years).

conclusionsThis study compares sentinel seroprevalence surveys with both routine register-based aggregate data and individuated data. Based on recent estimates, we show that in this setting linked individuated data may be reliably used for HIV prevalence surveillance and provide more granular estimates with improved efficiency compared to seroprevalence surveys and register-based aggregate data.

Indexed as

HIV InfectionsHIV SeroprevalencePopulation SurveillancePregnancy Complications, InfectiousAdolescentAdultFemaleHumansPregnancyRetrospective StudiesSentinel SurveillanceSouth AfricaYoung AdultHIV prevalenceHIV surveillanceRoutine dataSentinel surveys

Identifiers

PMID40038637
PMCPMC11877771

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.