Evidence map›Paper›PMID 34197509›Full record

ArticlePloS one2021

High HIV prevalence among decedents received by two high-volume mortuaries in Kisumu, western Kenya, 2019.

Dickens O Onyango, Marianne A B van der Sande, Paul Musingila, Eunice Kinywa, Valarie Opollo, Boaz Oyaro, Emmanuel Nyakeriga, Anthony Waruru, Wanjiru Waruiru, Mary Mwangome and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Exploring Socioeconomic Factors Among Women Living with HIV in Malawi and Kenya.Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
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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

16 authors at 6 institutions in 4 countries.

Dickens O OnyangoKisumu County Department of Health, Kisumu, Kenya.ORCID 0000-0002-1634-0531
Marianne A B van der SandeDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Paul MusingilaDivision of Global HIV & TB (DGHT), US Centres for Disease Control and Prevention, Nairobi, Kenya.
Eunice KinywaKisumu County Department of Health, Kisumu, Kenya.
Valarie OpolloKenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Boaz OyaroKenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Emmanuel NyakerigaGlobal Programs for Research and Training, Nairobi, Kenya.ORCID 0000-0002-1658-5934
Anthony WaruruDivision of Global HIV & TB (DGHT), US Centres for Disease Control and Prevention, Nairobi, Kenya.
Wanjiru WaruiruGlobal Programs for Research and Training, Nairobi, Kenya.
Mary MwangomeGlobal Programs for Research and Training, Nairobi, Kenya.
Teresia MachariaGlobal Programs for Research and Training, Nairobi, Kenya.
Peter W YoungDivision of Global HIV & TB (DGHT), US Centres for Disease Control and Prevention, Nairobi, Kenya.ORCID 0000-0002-7432-2876
Muthoni JunghaeDivision of Global HIV & TB (DGHT), US Centres for Disease Control and Prevention, Nairobi, Kenya.
Catherine NgugiMinistry of Health, Nairobi, Kenya.
Kevin M De CockDivision of Global HIV & TB (DGHT), US Centres for Disease Control and Prevention, Nairobi, Kenya.
George W RutherfordInstitute for Global Health Sciences, University of California, San-Francisco, California, United States of America.
Centers for Disease Control and Prevention · KEPartners for Health and Development in Africa · KEKenya Medical Research Institute · KEMinistry of Health · KEUniversity Medical Center Utrecht · NLUniversity of California, San Francisco · US

Funding

CDC HHSPEPFAR
6 · The paper itself

Abstract

backgroundAccurate data on HIV-related mortality are necessary to evaluate the impact of HIV interventions. In low- and middle-income countries (LMIC), mortality data obtained through civil registration are often of poor quality. Though not commonly conducted, mortuary surveillance is a potential complementary source of data on HIV-associated mortality.

methodsDuring April-July 2019, we assessed HIV prevalence, the attributable fraction among the exposed, and the population attributable fraction among decedents received by two high-volume mortuaries in Kisumu County, Kenya, where HIV prevalence in the adult population was estimated at 18% in 2019 with high ART coverage (76%). Stillbirths were excluded. The two mortuaries receive 70% of deaths notified to the Kisumu East civil death registry; this registry captures 45% of deaths notified in Kisumu County. We conducted hospital chart reviews to determine the HIV status of decedents. Decedents without documented HIV status, including those dead on arrival, were tested using HIV antibody tests or polymerase chain reaction (PCR) consistent with national HIV testing guidelines. Decedents aged less than 15 years were defined as children. We estimated annual county deaths by applying weights that incorporated the study period, coverage of deaths, and mortality rates observed in the study.

resultsThe two mortuaries received a total of 1,004 decedents during the study period, of which 95.1% (955/1004) were available for study; 89.1% (851/955) of available decedents were enrolled of whom 99.4% (846/851) had their HIV status available from medical records and post-mortem testing. The overall population-based, age- and sex-adjusted mortality rate was 12.4 per 1,000 population. The unadjusted HIV prevalence among decedents was 28.5% (95% confidence interval (CI): 25.5-31.6). The age- and sex-adjusted mortality rate in the HIV-infected population (40.7/1000 population) was four times higher than in the HIV-uninfected population (10.2/1000 population). Overall, the attributable fraction among the HIV-exposed was 0.71 (95% CI: 0.66-0.76) while the HIV population attributable fraction was 0.17 (95% CI: 0.14-0.20). In children the attributable fraction among the exposed and population attributable fraction were 0.92 (95% CI: 0.89-0.94) and 0.11 (95% CI: 0.08-0.15), respectively.

conclusionsOver one quarter (28.5%) of decedents received by high-volume mortuaries in western Kenya were HIV-positive; overall, HIV was considered the cause of death in 17% of the population (19% of adults and 11% of children). Despite substantial scale-up of HIV services, HIV disease remains a leading cause of death in western Kenya. Despite progress, increased efforts remain necessary to prevent and treat HIV infection and disease.

Indexed as

AdolescentAdultAutopsyCause of DeathChildChild, PreschoolFemaleHIV InfectionsHumansInfantInfant, NewbornKenyaMaleMiddle AgedMorguePopulation Surveillance

Identifiers

PMID34197509
PMCPMC8248726
OpenAlexW3176486401

What OpenQuestion holds

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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.