Evidence map›Paper›PMID 33020084›Full record

ArticleBMJ open2020

HIV prevalence among men who have sex with men following the implementation of the HIV preventive guideline in Tanzania: respondent-driven sampling survey.

Mwijage Alexander Ishungisa, Kare Moen, Germana Leyna, Neema Makyao, Angela Ramadhan, Theis Lange, Dan Wolf Meyrowitsch, Mucho Mizinduko, Samuel Likindikoki, Melkzedeck Leshabari and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

11 authors.

Mwijage Alexander IshungisaBehavioral Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania mwijagealexander2014@yahoo.com.ORCID 0000-0002-6810-8312
Kare MoenDepartment of Community Medicine and Global Health, University of Oslo, Oslo, Norway.
Germana LeynaPublic Health and Social Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Neema MakyaoNational AIDS Control Programme, Ministry of Health, Tanzania National AIDS Control Program, Dar es Salaam, United Republic of Tanzania.
Angela RamadhanNational AIDS Control Programme, Ministry of Health, Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzania.
Theis LangeSection of Biostatistics, University of Copenhagen, Kobenhavns, Denmark.
Dan Wolf MeyrowitschGlobal Health Section, University of Copenhagen, Copenhagen, Denmark.
Mucho MizindukoEpidemiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Samuel LikindikokiDepartment of Sychiatry and Mental Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Melkzedeck LeshabariDepartment of Behavioral Sciences, Muhimbili University College of Health Sciences, Dar es Salaam, United Republic of Tanzania.
Elia John MmbagaEpidemiology and Biostatistics, Muhimbili University Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Funding

Tuberculosis Research Institute at MUHASD43TW009573 · FIC · DARTMOUTH COLLEGE · PI ADAMS, LISA VIRGINIA · 2013 to 2022
$3.0M
FIC NIH HHS D43 TW009573
6 · The paper itself

Abstract

objectivesTo estimate HIV prevalence and associated risk factors among men who have sex with men (MSM) in Dar es Salaam, Tanzania following the implementation of the national comprehensive package of HIV interventions for key population (CHIP).

designA cross-sectional survey using respondent-driven sampling.

settingDar es Salaam, Tanzania's largest city.

participantsMen who occasionally or regularly have sex with another man, aged 18 years and above and living in Dar es Salaam city at least 6 months preceding the study. PRIMARY OUTCOME MEASURE: HIV prevalence was the primary outcome. Independent risk factors for HIV infection were examined using weighted logistics regression modelling.

resultsA total of 777 MSM with a mean age of 26 years took part in the study. The weighted HIV prevalence was 8.3% (95% CI: 6.3%-10.9%) as compared with 22.3% (95% CI: 18.7%-26.4%) observed in a similar survey in 2014. Half of the participants had had sex with more than two partners in the month preceding the survey. Among those who had engaged in transactional sex, 80% had used a condom during last anal sex with a paying partner. Participants aged 25 and above had four times higher odds of being infected than those aged 15-19 years. HIV infection was associated with multiple sexual partnerships (adjusted OR/AOR, 3.0; 95% CI: 1.8-12.0), not having used condom during last sex with non-paying partner (AOR, 4.1; 95% CI: 1.4-7.8) and ever having engaged in group sex (AOR, 3.4; 95% CI: 1.7-3.6).

conclusionHIV prevalence among MSM in Dar es Salaam has decreased by more than a half over the past 5 years, coinciding with implementation of the CHIP. It is nonetheless two times as high as that of men in the general population. To achieve the 2030 goal, behavioural change interventions and roll out of new intervention measures such as pre-exposure prophylaxis are urgently needed.

Indexed as

HIV InfectionsSexual and Gender MinoritiesAdolescentAdultCitiesCross-Sectional StudiesHomosexuality, MaleHumansMalePrevalenceRisk FactorsRisk-TakingSexual BehaviorSurveys and QuestionnairesTanzaniaYoung AdultepidemiologyHIV & AIDSinfection controlpublic health

Identifiers

PMID33020084
PMCPMC7537429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.