Evidence map›Paper›PMID 38180740›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2024

Triangulation of Routine Antenatal HIV Prevalence Data and Adjusted HIV Estimates in Mozambique.

Oliver Stevens, Makini Boothe, Orrin Tiberi, Mary Mahy, Patrick Walker, Robert Glaubius, Jordan McOwen, Aleny Couto, Morais Cunha, Jeffrey W Imai-Eaton

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Updated Data and Methods for the 2023 UNAIDS HIV Estimates.Journal of acquired immune deficiency syndromes (1999) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Oliver StevensMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6842-9434
Makini BootheData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Maputo, Mozambique.
Orrin TiberiNational STI and HIV/AIDS Control Program, Ministry of Health Maputo, Maputo, Mozambique.
Mary MahyData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Patrick WalkerMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Robert GlaubiusCenter for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT.
Jordan McOwenUS Centers for Disease Control and Prevention, Maputo, Mozambique; and.
Aleny CoutoNational STI and HIV/AIDS Control Program, Ministry of Health Maputo, Maputo, Mozambique.
Morais CunhaNational STI and HIV/AIDS Control Program, Ministry of Health Maputo, Maputo, Mozambique.
Jeffrey W Imai-EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.

Funding

Quantification of HIV burden and the biomedical, structural, and behavioral factors influencing HIV/AIDS among children and young adolescentsR01AI152721 · NIAID · UNIVERSITY OF WASHINGTON · PI KYU, HMWE HMWE · 2021 to 2025
$3.6M
NIAID NIH HHS R01 AI152721
6 · The paper itself

Abstract

backgroundRoutine health system data are central to monitoring HIV trends. In Mozambique, the reported number of women receiving antenatal care (ANC) and antiretroviral therapy for prevention of mother-to-child transmission (PMTCT) has exceeded the Spectrum-estimated number of pregnant women since 2017. In some provinces, reported HIV prevalence in pregnant women has declined faster than epidemiologically plausible. We hypothesized that these issues are linked and caused by programmatic overenumeration of HIV-negative pregnant women at ANC.

methodsWe triangulated program-reported ANC client numbers with survey-based fertility estimates and facility birth data adjusted for the proportion of facility births. We used survey-reported ANC attendance to produce adjusted time series of HIV prevalence in pregnant women, adjusted for hypothesized program double counting. We calibrated the Spectrum HIV estimation models to adjusted HIV prevalence data to produce adjusted adult and pediatric HIV estimates.

resultsANC client numbers were not consistent with facility birth data or modeled population estimates indicating ANC data quality issues in all provinces. Adjusted provincial ANC HIV prevalence in 2021 was median 45% [interquartile range 35%-52% or 2.3 percentage points (interquartile range 2.5-3.5)] higher than reported HIV prevalence. In 2021, calibrating to adjusted antenatal HIV prevalence lowered PMTCT coverage to less than 100% in most provinces and increased the modeled number of new child infections by 35%. The adjusted results better reconciled adult and pediatric antiretroviral treatment coverage and antenatal HIV prevalence with regional fertility estimates.

conclusionsAdjusting HIV prevalence in pregnant women using nationally representative household survey data on ANC attendance produced estimates more consistent with surveillance data. The number of children living with HIV in Mozambique has been substantially underestimated because of biased routine ANC prevalence. Renewed focus on HIV surveillance among pregnant women would improve PMTCT coverage and pediatric HIV estimates.

Indexed as

HIV InfectionsAdultChildFemaleHumansInfectious Disease Transmission, VerticalMozambiquePregnancyPrevalenceResearch Design

Identifiers

PMID38180740
PMCPMC10769169

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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.