Evidence map›Paper›PMID 37256868›Full record

ArticlePLOS global public health2023

Using testing history to estimate HIV incidence in mothers living in resource-limited settings: Maximizing efficiency of a community health survey in Mozambique.

Orvalho Augusto, Sheila Fernández-Luis, Laura Fuente-Soro, Tacilta Nhampossa, Elisa Lopez-Varela, Ariel Nhacolo, Edson Bernardo, Helga Guambe, Kwalila Tibana, Adelino Jose Chingore Juga and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 4 institutions in 3 countries.

Orvalho AugustoManhiça Health Research Centre (CISM), Maputo, Mozambique.ORCID https://orcid.org/0000-0002-0005-3968
Sheila Fernández-LuisManhiça Health Research Centre (CISM), Maputo, Mozambique.ORCID https://orcid.org/0000-0003-3684-6713
Laura Fuente-SoroManhiça Health Research Centre (CISM), Maputo, Mozambique.
Tacilta NhampossaManhiça Health Research Centre (CISM), Maputo, Mozambique.ORCID https://orcid.org/0000-0002-4616-8752
Elisa Lopez-VarelaManhiça Health Research Centre (CISM), Maputo, Mozambique.
Ariel NhacoloManhiça Health Research Centre (CISM), Maputo, Mozambique.ORCID https://orcid.org/0000-0003-3206-2372
Edson BernardoManhiça Health Research Centre (CISM), Maputo, Mozambique.
Helga GuambeMinistério da Saúde de Moçambique (MISAU), Maputo, Mozambique.
Kwalila TibanaMinistério da Saúde de Moçambique (MISAU), Maputo, Mozambique.
Adelino Jose Chingore JugaDivision of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, Maputo, Mozambique.
Jessica Greenberg CowanMaternal and Child Health Branch Chief, Mozambique, Division of Global HIV and TB, Centers for Disease Control and Prevention, Maputo, Mozambique.
Marilena UrsoDivision of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, Maputo, Mozambique.
Denise NanicheISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
Manhiça Health Research Centre · MZMinistry of Health · MZBarcelona Institute for Global Health · ESEduardo Mondlane University · MZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining rapid and accurate HIV incidence estimates is challenging because of the need for long-term follow-up for a large cohort. We estimated HIV incidence among women who recently delivered in southern Mozambique by leveraging data available in routine health cards. A cross-sectional household HIV-testing survey was conducted from October 2017 to April 2018 among mothers of children born in the previous four years in the Manhiça Health Demographic Surveillance System area. Randomly-selected mother-child pairs were invited to participate and asked to present documentation of their last HIV test result. HIV-testing was offered to mothers with no prior HIV-testing history, or with negative HIV results obtained over three months ago. HIV incidence was estimated as the number of mothers newly diagnosed with HIV per total person-years, among mothers with a prior documented HIV-negative test. Among 5000 mother-child pairs randomly selected, 3069 were interviewed, and 2221 reported a previous HIV-negative test. From this group, we included 1714 mothers who had taken a new HIV test during the survey. Most of mothers included (83.3%,1428/1714) had a previous documented HIV test result and date. Median time from last test to survey was 15.5 months (IQR:8.0-25.9). A total of 57 new HIV infections were detected over 2530.27 person-years of follow-up. The estimated HIV incidence was 2.25 (95% CI: 1.74-2.92) per 100 person-years. Estimating HIV incidence among women who recently delivered using a community HIV-focused survey coupled with previous HIV-testing history based on patients' clinical documents is an achievable strategy.

Identifiers

PMID37256868
PMCPMC10231780
OpenAlexW4378905419

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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.