Evidence map›Paper›PMID 39201154›Full record

ArticleHealthcare (Basel, Switzerland)2024

Developing a Theory-Based Instrument for Pre-Exposure Prophylaxis (PrEP) Uptake in People of Color Using a Qualitative Approach.

Siddharth Raich, Christopher Johansen, Neeraj Bhandari, Kavita Batra, Manoj Sharma

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Siddharth RaichDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.
Christopher JohansenDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.ORCID 0000-0002-7501-0970
Neeraj BhandariDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.
Kavita BatraDepartment of Medical Education and Office of Research, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV 89102, USA.ORCID 0000-0002-0722-0191
Manoj SharmaDepartment of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.ORCID 0000-0002-4624-2414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a large disparity in Pre-exposure Prophylaxis (PrEP) utilization among communities of color compared to White Americans. There is also a lack of theory-based survey instruments to measure the underlying reasons for the disparity among communities of color. The purpose of this study was to create an instrument based on a qualitative approach involving community interviews. Semi-structured interviews guided by the Multi-theory Model (MTM) of health behavior change were performed in a sample of 12 members from communities of color. The analysis entailed a directed content analysis along the themes of MTM constructs to develop a survey instrument. The barriers to PrEP that emerged included the cost of PrEP, lack of protection from other sexually transmitted diseases, reduced trust between partners, and the stigma associated with PrEP. The perceived disadvantages included the potential cost of PrEP, partner mistrust when taking PrEP, discussion of sexual behaviors with a provider, and unclear process of acquiring the PrEP prescription. The results guided the development of a survey tool to further investigate aspects of cost, partner relations, stigma, reassurance of safety, and other factors. The tool can be used for future studies as part of guided interventions to increase PrEP uptake.

Indexed as

communities of colorMulti-theory ModelPre-exposure Prophylaxis (PrEP)

Identifiers

PMID39201154
PMCPMC11354126

What OpenQuestion holds

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