Evidence map›Paper›PMID 39070701›Full record

ArticleTherapeutic advances in infectious disease

Barriers and facilitators to pre-exposure prophylaxis uptake among Black/African American men who have sex with other men in Iowa: COM-B model analysis.

Oluwafemi Adeagbo

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Article in Therapeutic advances in infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Oluwafemi AdeagboDepartment of Community and Behavioral Health, College of Public Health, University of Iowa, 145 N Riverside, Iowa City, IA 52242, USA.ORCID https://orcid.org/0000-0003-1462-9275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Iowa, men who have sex with men (MSM) accounted for 54% of persons with HIV in 2022 and Non-Hispanic Black/African Americans were over 10 times more likely to be diagnosed with HIV than Non-Hispanic white Iowans. To address this disparity in HIV incidence and prevalence, the United States (US) government ending the HIV epidemic (EHE) initiative seeks to expand pre-exposure prophylaxis (PrEP) coverage across the United States. Recent data showed that PrEP coverage is suboptimal in Iowa (a rural state), and Black Iowans were less likely to engage with PrEP services. Objectives: Using capability, opportunity, motivation and behavior (COM-B) model for behavior change, this study sought to identify the key barriers and facilitators to PrEP uptake among Black/African American MSM in small urban areas in Iowa. Design: This was a phenomenological study aimed to explore subjective views of Black MSM on PrEP use. Methods: In-depth semistructured interviews were conducted with 12 Black MSM aged 20-42 years in two small urban counties. Broad themes identified from the interview transcripts were analyzed inductively and mapped onto the COM-B constructs deductively. Results: Results showed that barriers to PrEP uptake were closely associated with five (of six) COM-B subcomponents: physical capability, psychological capability, social opportunity, reflective motivation, and automatic motivation. The thematized barriers were (1) lack of medical insurance; (2) limited PrEP awareness; (3) PrEP stigma; (4) fear of distrust among partners; (5) anticipated side effects; and (6) doubt about PrEP effectiveness. Similarly, facilitators to PrEP uptake were aligned with four subcomponents of COM-B model: physical capability, psychological capability, social opportunity, and physical opportunity. The thematized facilitators were (1) increased PrEP awareness; (2) PrEP access without discrimination; (3) state provision of PrEP to uninsured; and (4) physicians buy-in and recommendation. No motivation-related facilitators were reported. Conclusion: To reduce the current disparity in HIV incidence and to achieve the EHE goals of expanding PrEP coverage in Iowa, efforts should be directed toward the provision of low-cost or free PrEP services, healthcare providers' training on cultural competence, and the development of culturally appropriate strategies to deliver PrEP to the Black MSM community.

Indexed as

Black/African American MSMCOM-B modelHIV/AIDSIowaPrEPUnited States

Identifiers

PMID39070701
PMCPMC11282522

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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.