Evidence map›Paper›PMID 37363902›Full record

ArticlePloS one2023

Comparison of programmatic data from antenatal clinics with population-based HIV prevalence estimates in the era of universal test and treat in western Kenya.

Julie Ambia, Julio E Romero-Prieto, Daniel Kwaro, Kathryn Risher, Sammy Khagayi, Clara Calvert, David Obor, Malebogo Tlhajoane, Fredrick Odongo, Milly Marston and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

15 authors at 4 institutions in 3 countries.

Julie AmbiaDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-9883-4561
Julio E Romero-PrietoDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Daniel KwaroKenya Medical Research Institute - Center for Global Health Research, Kisumu, Kenya.
Kathryn RisherDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Sammy KhagayiKenya Medical Research Institute - Center for Global Health Research, Kisumu, Kenya.ORCID 0000-0002-2470-1851
Clara CalvertDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-3272-1040
David OborKenya Medical Research Institute - Center for Global Health Research, Kisumu, Kenya.
Malebogo TlhajoaneDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Fredrick OdongoKenya Medical Research Institute - Center for Global Health Research, Kisumu, Kenya.
Milly MarstonDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Emma SlaymakerDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Brian RiceMeSH Consortium, Department of Public Health Environments and Society, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Chodziwadziwa Whiteson KabudulaMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Jeffrey W EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7728-728X
Georges ReniersDepartment of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBKenya Medical Research Institute · KEUniversity of the Witwatersrand · ZAImperial College London · GB

Funding

Medical Research Council MR/X020258/1
6 · The paper itself

Abstract

objectiveTo compare HIV prevalence estimates from routine programme data in antenatal care (ANC) clinics in western Kenya with HIV prevalence estimates in a general population sample in the era of universal test and treat (UTT).

methodsThe study was conducted in the area covered by the Siaya Health Demographic Surveillance System (Siaya HDSS) in western Kenya and used data from ANC clinics and the general population. ANC data (n = 1,724) were collected in 2018 from 13 clinics located within the HDSS. The general population was a random sample of women of reproductive age (15-49) who reside in the Siaya HDSS and participated in an HIV sero-prevalence survey in 2018 (n = 2,019). Total and age-specific HIV prevalence estimates were produced from both datasets and demographic decomposition methods were used to quantify the contribution of the differences in age distributions and age-specific HIV prevalence to the total HIV prevalence estimates.

resultsTotal HIV prevalence was 18.0% (95% CI 16.3-19.9%) in the ANC population compared with 18.4% (95% CI 16.8-20.2%) in the general population sample. At most ages, HIV prevalence was higher in the ANC population than in the general population. The age distribution of the ANC population was younger than that of the general population, and because HIV prevalence increases with age, this reduced the total HIV prevalence among ANC attendees relative to prevalence standardised to the general population age distribution.

conclusionIn the era of UTT, total HIV prevalence among ANC attendees and the general population were comparable, but age-specific HIV prevalence was higher in the ANC population in most age groups. The expansion of treatment may have led to changes in both the fertility of women living with HIV and their use of ANC services, and our results lend support to the assertion that the relationship between ANC and general population HIV prevalence estimates are highly dynamic.

Indexed as

HIV InfectionsPregnancy Complications, InfectiousFemaleHumansKenyaPregnancyPrenatal CarePrevalence

Identifiers

PMID37363902
PMCPMC10292704
OpenAlexW4382049851

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Textmetadata
LicenceCC BY
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Registered trials

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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.