Evidence map›Paper›PMID 31337368›Full record

ArticleBMC public health2019

Evaluation of community-based HIV self-testing delivery strategies on reducing undiagnosed HIV infection, and improving linkage to prevention and treatment services, among men who have sex with men in Kenya: a programme science study protocol.

Parinita Bhattacharjee, Dorothy Rego, Helgar Musyoki, Marissa Becker, Michael Pickles, Shajy Isac, Robert Lorway, Janet Musimbi, Jeffrey Walimbwa, Kennedy Olango and 9 more

Abstract readEvaluation Study
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

19 authors.

Parinita BhattacharjeeCentre for Global Public Health, University of Manitoba, Winnipeg, Canada. Bhattacharjee.parinita@gmail.com.ORCID http://orcid.org/0000-0003-3277-7693
Dorothy RegoNutrition International, Ottawa, Canada.
Helgar MusyokiNational AIDS and STI Control Programme, Ministry of Health, Nairobi, Kenya.
Marissa BeckerCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.
Michael PicklesImperial College, London, UK.
Shajy IsacCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.
Robert LorwayCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.
Janet MusimbiPartners for Health and Development in Africa, University of Manitoba, Geomaps Building, Upper Hill, Nairobi, Kenya.
Jeffrey WalimbwaG10 Research Advisory Committee, Nairobi, Kenya.
Kennedy OlangoMen Against AIDS Youth Group, Kisumu, Kenya.
Samuel KuriaMamboleo Peer Empowerment Group, Kiambu, Kenya.
Martin Kyana OngaroHIV and AIDS People's Alliance of Kenya, Mombasa, Kenya.
Amy SahaiCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.
Mary MugambiNational AIDS and STI Control Programme, Ministry of Health, Nairobi, Kenya.
Faran EmmanuelCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.
Sharmistha MishraDepartment of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada.
Kigen BartilolNational AIDS and STI Control Programme, Ministry of Health, Nairobi, Kenya.
Stephen MosesCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.
James BlanchardCentre for Global Public Health, University of Manitoba, Winnipeg, Canada.

Funding

Bill and Melinda Gates Foundation OPP-11191068
6 · The paper itself

Abstract

backgroundHIV prevalence among men having sex with men (MSM) in Kenya is 18.2%. Despite scale-up of HIV testing services, many MSM remain unaware of their HIV status and thus do not benefit from accessing HIV treatment or prevention services. HIV self-testing (HIVST) may help address this gap. However, evidence is limited on how, when, and in what contexts the delivery of HIVST to MSM could increase awareness of HIV status and lead to early linkage to HIV treatment and prevention.

methodsThe study will be embedded within existing MSM-focused community-based HIV prevention and treatment programmes in 3 counties in Kenya (Kisumu, Mombasa, Kiambu). The study is designed to assess three HIV testing outcomes among MSM, namely a) coverage b) frequency of testing and c) early uptake of testing. The study will adopt a mixed methods programme science approach to the implementation and evaluation of HIVST strategies via: (i) a baseline and endline bio-behavioural survey with 1400 MSM; (ii) a socio-sexual network study with 351 MSM; (iii) a longitudinal qualitative cohort study with 72 MSM; (iv) routine programme monitoring in three sites; (v) a programme-specific costing exercise; and (vi) mathematical modelling. This protocol evaluates the impact of community-based implementation of HIV self-testing delivery strategies among MSM in Kenya on reducing the undiagnosed MSM population, and time for linkage to prevention, treatment and care following HIV self-testing. Baseline data collection started in April 2019 and the endline data collection will start in July 2020. DISCUSSION: This study is one of the first programme science studies in Sub-Saharan Africa exploring the effectiveness of integrating HIVST interventions within already existing HIV prevention and treatment programmes for MSM in Kenya at scale. Findings from this study will inform national best approaches to scale up HIVST among MSM in Kenya.

Indexed as

Homosexuality, MaleSelf CareAdolescentAdultCohort StudiesCommunity Health ServicesContinuity of Patient CareHIV InfectionsHumansKenyaLongitudinal StudiesMaleMass ScreeningProgram EvaluationQualitative ResearchResearch DesignEvaluationHIV preventionHIV self testingKenyaMSM

Identifiers

PMID31337368
PMCPMC6652006

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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.