Evidence map›Paper›PMID 36434555›Full record

ArticleBMC public health2022

HIV testing and associated factors among men (15-64 years) in Eastern Africa: a multilevel analysis using the recent demographic and health survey.

Dagnew Getnet Adugna, Misganaw Gebrie Worku

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

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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

27 citing papers in PubMed, 38 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Dagnew Getnet AdugnaDepartment of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia. dagnewgetnet5@gmail.com.
Misganaw Gebrie WorkuDepartment of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite significant efforts made to prevent human immunodeficiency virus (HIV) transmission, its testing coverage among men is still low and remains a major concern in low-income countries, particularly in East Africa. Therefore, this study aimed to determine the prevalence and associated factors of HIV testing among men in Eastern Africa.

methodsWe analyzed secondary data using Demographic and Health Surveys (DHS) drawn from Eastern African countries. Besides, we merged DHS data from eleven Eastern African countries. In this study, we included secondary data from 113, 270 men aged 15-64 years. The outcome variable of this study was "ever been tested for HIV". Bivariable and multivariable multi-level logistic regression analyses were employed. In the bivariable analysis, variables having a P-value of less than 0.2 were selected for multivariable analysis. Lastly, variables with a P-value of < 0.05 in the multivariable analysis were declared as a significant factor associated with HIV testing and the adjusted odds ratio (AOR) with the 95% confidence interval (CI) were computed to determine the strength and direction of the association.

resultsThe overall prevalence of HIV testing among men in eastern Africa was 60.5% (95% CI: 60.2, 60.7%). In the multivariable multilevel analysis; participant's older age, being married, increased poverty, HIV knowledge, risky sexual behavior, and being covered by health insurance were positively associated with HIV testing coverage among men. However, men with higher community illiteracy levels, residing in rural settings, age at first sex ≥20 years, and higher stigmatized attitudes towards HIV/AIDS had lower odds of being tested for HIV.

conclusionThe overall prevalence of HIV testing among men in eastern Africa was relatively higher than the previous studies. The study revealed that age, marital status, residence, age at first sex, community poverty level, community illiteracy level, HIV knowledge, HIV stigma indicator, risky sexual behavior, and health insurance were significantly associated with HIV testing coverage among men. Therefore, all the concerned stakeholders need to develop an integrated strategic plan through providing special attention to the factors that affect the uptake of HIV testing to raise awareness about the importance of HIV testing and to prevent HIV/AIDS transmission.

Indexed as

HIV InfectionsAfrica, EasternHIV TestingHumansMaleMarital StatusMultilevel AnalysisAssociated factorsEast AfricaHIV testingMenMulti-level analysis

Identifiers

PMID36434555
PMCPMC9701050
OpenAlexW4310046275

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.