Evidence map›Paper›PMID 35225096›Full record

ArticleInternational journal of STD & AIDS2022

Reaching 95-95-95 targets: The role of private sector health facilities in closing the HIV detection gap-Kisumu Kenya, 2018.

Dickens Onyango, Walter Mchembere, Janet Agaya, Alice Wang, Kevin P Cain, Diederick E Grobbee, Marianne Ab van der Sande, Brian Baker, Courtney M Yuen

Abstract read
In one paragraph

Article in International journal of STD & AIDS, 2022. 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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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dickens OnyangoKisumu County Department of Health, Kisumu, Kenya.ORCID 0000-0002-1634-0531
Walter Mchembere118982Kenya Medical Research Institute, Kisumu, Kenya.
Janet Agaya118982Kenya Medical Research Institute, Kisumu, Kenya.
Alice Wang198047United States Centers for Disease Control and Prevention, Atlanta, GA, USA.
Kevin P Cain1242United States Centers for Disease Control and Prevention, Dar es Salaam, Tanzania.
Diederick E GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, 8125University Medical Center Utrecht, Netherlands.
Marianne Ab van der Sande37463Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0002-4778-6739
Brian Baker1242United States Centers for Disease Control and Prevention, Dar es Salaam, Tanzania.
Courtney M Yuen1811Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5219-2599

Funding

CGH CDC HHS U01 GH002133Intramural CDC HHS CC999999PEPFAR
6 · The paper itself

Abstract

backgroundHIV testing efficiency could be improved by focusing on high yield populations and identifying types of health facilities where people with undiagnosed HIV infection are more likely to attend.

methodsA retrospective cohort analysis of data collected during an integrated TB/HIV active case-finding intervention in Western Kenya. Data were analyzed from health facilities' registers on individuals who reported TB-suggestive symptoms between 1 July and 31 December 2018 and who had an HIV test result within one month following symptom screening. We used logistic regression with general estimating equations adjusting for sub-county level data to identify health facility-level predictors of new HIV diagnoses.

resultsOf 11,376 adults with presumptive TB identified in 143 health facilities, 1038 (9%) tested HIV positive. The median HIV positivity per health facility was 6% (IQR = 2-15%). Patients with TB symptoms were over three times as likely to have a new HIV diagnosis in private not-for-profit facilities compared to those in government facilities (adjusted odds ratio (aOR) 3.40; 95% CI = 1.96-5.90). Patients tested in hospitals were over two times as likely to have a new HIV diagnosis as those tested in smaller facilities (i.e., health centers and dispensaries) (aOR 2.26; 95% CI = 1.60-3.21).

conclusionIndividuals with presumptive TB who attended larger health facilities and private not-for-profit facilities had a higher likelihood of being newly diagnosed with HIV. Strengthening HIV services at these facilities and outreach to populations that use them could help to close the HIV diagnosis gap.

Indexed as

HIV InfectionsTuberculosisAdultHealth FacilitiesHumansKenyaPrivate SectorRetrospective StudiesFacilitiesHealthHIVHIV antibodyHospitalsPositivityPrivateTesting

Identifiers

PMID35225096
PMCPMC11406363

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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.