Evidence map›Paper›PMID 37046924›Full record

ArticleHealthcare (Basel, Switzerland)2023

Addressing HIV Misconceptions among Heterosexual Black Men and Communities in Ontario.

Egbe B Etowa, Josephine Pui-Hing Wong, Francisca Omorodion, Josephine Etowa, Isaac Luginaah

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Everyday racism experiences, healthcare access, and self-rated health: A study of Black men in Ontario, Canada.Canadian journal of public health = Revue canadienne de sante publique · 2025
    Article
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

5 authors at 4 institutions in 1 country.

Egbe B EtowaDaphne Cockwell Health Sciences Complex, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.
Josephine Pui-Hing WongDaphne Cockwell Health Sciences Complex, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.ORCID 0000-0002-8262-7725
Francisca OmorodionDepartment of Sociology, Anthropology and Criminology, University of Windsor, Windsor, ON N9B 3P4, Canada.
Josephine EtowaSchool of Nursing, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Isaac LuginaahDepartment of Geography, University of Western Ontario, London, ON N6A 3K7, Canada.ORCID 0000-0001-7858-3048
Toronto Metropolitan University · CAUniversity of Ottawa · CAUniversity of Windsor · CAWestern University · CA

Funding

CIHR 483731
6 · The paper itself

Abstract

backgroundBlack males accounted for 19.7% of all the new HIV diagnoses in Canada in 2020, yet Black people make up only 4.26% of the population. Persistent misconceptions about modes of HIV transmission need to be addressed to reduce the relatively high HIV prevalence among Black men. We described the HIV misconceptions held by some HBM in Ontario. We also identified the social determinants that are protective versus risk factors for HIV misconceptions among heterosexual Black men (HBM) in Ontario with a view to building evidence-based strategies for strengthening HIV prevention and stigma reduction among HBM and their communities in Ontario.

methodsWe report quantitative findings of the weSpeak study carried out among HBM in four cities (Ottawa, Toronto, London, and Windsor) in Ontario. Sample size was 866 and sub-samples were: Ottawa (n = 210), Toronto (n = 343), London (n = 157), and Windsor (n = 156). Data were collected with survey questionnaire. The outcome variable, HIV misconception score ranging from 1 to 18, was measured by the number of statements on the HIV Knowledge Questionnaire with incorrect answers. We included three categories of independent variables in the analysis based on a stepwise and forward model selection approach. The variable categories include (i) sociodemographic background; (ii) personalised psychosocial attributes (levels of HIV misconceptions, negative condom attitude, age at sexual debut, and resilience); and (iii) socially ascribed psychosocial experiences (everyday discrimination and pro-community attitudes). After preliminary univariate and bivariate analyses, we used a hierarchical linear regression model (HLM) to predict levels of HIV misconceptions while controlling for the effect of the city of residence.

resultsMore than 50% of participants in all study sites were aged 20-49 years, married, and have undergone a college or university undergraduate education. Yet, a significant proportion (27.2%) held varying levels of misconceptions about HIV. In those with misconceptions, the two most common misconceptions were: (i) people are likely to get HIV by deep kissing, putting their tongue in their partner's mouth, if their partner has HIV (40.1%); and (ii) taking a test for HIV one week after having sex will tell a person if she or he has HIV (31.6%). Discrimination (β = 0.23, CONCLUSION AND RECOMMENDATIONS: HIV misconceptions are still common, especially among HBM. These misconceptions are associated with structural and behavioural factors. We recommend structural and policy-driven interventions that promote more accessible and equity-driven healthcare, education, and social integration of HBM in Ontario. We also recommend building capacity for collective resilience and critical health and racial literacy as well as creating culturally safe spaces for intergenerational dialogues among HBM in their communities.

Indexed as

Black menheterosexualityHIV misconceptionssocial determinants

Identifiers

PMID37046924
PMCPMC10094559
OpenAlexW4362519592

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.