Evidence map›Paper›PMID 39640965›Full record

ArticleDigital health

The perception of HIV self-testing and willingness to use mHealth for HIV prevention among Black men who have sex with men in Iowa, United States: A qualitative study.

Oluwaseun Abdulganiyu Badru, Oluwafemi Atanda Adeagbo

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

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

  1. Pooled it
  2. Article
  3. 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

2 authors.

Oluwaseun Abdulganiyu BadruDepartment of Community and Behavioral Health, University of Iowa, USA.ORCID https://orcid.org/0000-0003-0076-2745
Oluwafemi Atanda AdeagboDepartment of Community and Behavioral Health, University of Iowa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The World Health Organization approved HIV self-test (HIVST) to break the barriers to HIV testing. Black men who have sex with men (Black MSM) in the United States are less likely to test for HIV or link to care due to several factors, such as stigma and distance. We explored Black MSM's knowledge of HIVST and their willingness to use a mobile application (mHealth) to link to HIV care and engage with health providers. Methods: Between March and September 2023, we interviewed 12 Black MSM in small urban areas and explored HIVST awareness and willingness to use mHealth. Participants were recruited through purposive and snowball sampling. The data were analyzed inductively. Results: The age range was 20-42 years. Participants had mixed knowledge of HIVST. The barriers to HIVST uptake are poor knowledge of HIVST, lack of adequate medical insurance to access HIVST kits, and concerns about the efficacy of HIVST kits. Black MSM were willing to link to care via mHealth but expressed concerns related to safety, confidentiality, and the risk of HIV stigma. Participants recommended wider awareness via social media and that the proposed mobile application has a simple interface for ease of use. Conclusion: To encourage uptake among Black MSM, the Iowa Department of Health and Human Services should make HIVST accessible (low-cost or free). The proposed mHealth should be developed with a simple and interactive interface, including images and videos to guide HIVST and linkage to health professionals for assistance.

Indexed as

black MSMBMSMHIV self-testHIVSTIowamHealth

Identifiers

PMID39640965
PMCPMC11618894

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.