Evidence map›Paper›PMID 32764820›Full record

ArticlePloS one2020

Prevalence, associated factors and perspectives of HIV testing among men in Uganda.

Joanita Nangendo, Anne R Katahoire, Mari Armstrong-Hough, Jane Kabami, Gloria Odei Obeng-Amoako, Mercy Muwema, Fred C Semitala, Charles A Karamagi, Rhoda K Wanyenze, Moses R Kamya and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.4field-weighted citation impact, top 26% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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  7. HIV testing among heterosexual Black men in Toronto: What are the determinants?Canadian journal of public health = Revue canadienne de sante publique · 2025
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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 at 3 institutions in 2 countries.

Joanita NangendoClinical Epidemiology Unit, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-0458-2111
Anne R KatahoireChild Health and Development Centre, College of Health Sciences, Makerere University, Kampala, Uganda.
Mari Armstrong-HoughDepartments of Social and Behavioral Sciences, and Epidemiology, School of Global Public Health, New York University, New York, NY, United States of America.
Jane KabamiClinical Epidemiology Unit, College of Health Sciences, Makerere University, Kampala, Uganda.
Gloria Odei Obeng-AmoakoClinical Epidemiology Unit, College of Health Sciences, Makerere University, Kampala, Uganda.
Mercy MuwemaClinical Epidemiology Unit, College of Health Sciences, Makerere University, Kampala, Uganda.
Fred C SemitalaDepartment of Internal Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Charles A KaramagiClinical Epidemiology Unit, College of Health Sciences, Makerere University, Kampala, Uganda.
Rhoda K WanyenzeSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Joan N KalyangoClinical Epidemiology Unit, College of Health Sciences, Makerere University, Kampala, Uganda.
Makerere University · UGInfectious Diseases Research Collaboration · UGNew York University · US

Funding

Building Implementation Science Capacity at Makerere University to Strengthen the Response to the HIV/AIDS Epidemic in UgandaD43TW010037 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KAMYA, MOSES ROBERT, SEMITALA, FRED C · 2015 to 2025
$3.3M
FIC NIH HHS D43 TW010037
6 · The paper itself

Abstract

backgroundDespite overall increase in HIV testing, more men than women remain untested. In 2018, 92% of Ugandan women but only 67% of men had tested for HIV. Understanding men's needs and concerns for testing could guide delivery of HIV testing services (HTS) to them. We assessed the prevalence of testing, associated factors and men's perspectives on HIV testing in urban and peri-urban communities in Central Uganda. METHODS AND

findingsWe conducted a parallel-convergent mixed-methods study among men in Kampala and Mpigi districts from August to September 2018. Using two-stage sampling, we selected 1340 men from Mpigi. We administered a structured questionnaire to collect data on HIV testing history, socio-demographics, self-reported HIV risk-related behaviors, barriers and facilitators to HIV testing. We also conducted 10 focus-groups with men from both districts to learn their perspectives on HIV testing. We used modified Poisson regression to assess factors associated with HIV testing and inductive thematic analysis to identify barriers and facilitators. Though 84.0% of men reported having tested for HIV, only 65.7% had tested in the past 12-months despite nearly all (96.7%) engaging in at least one HIV risk-related behavior. Men were more likely to have tested if aged 25-49 years, Catholic, with secondary or higher education and circumcised. Being married was associated with ever-testing while being widowed or divorced was associated with testing in past 12-months. Men who engaged in HIV risk-related behavior were less likely to have tested in the past 12-months. Qualitative findings showed that men varied in their perspectives about the need for testing, access to HTS and were uncertain of HIV testing and its outcomes.

conclusionsRecent HIV testing among men remains low. Modifying testing strategies to attract men in all age groups could improve testing uptake, reduce gender disparity and initiate risk reduction interventions.

Indexed as

AdolescentAdultAgedAged, 80 and overHumansMaleMass ScreeningMiddle AgedPatient Acceptance of Health CarePrevalenceSurveys and QuestionnairesUgandaYoung Adult

Identifiers

PMID32764820
PMCPMC7413494
OpenAlexW3047956820

What OpenQuestion holds

Textmetadata
LicenceCC0
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.