ArticleAIDS and behavior2021
Tailored HIV Pre-exposure Prophylaxis (PrEP) Intervention Needs from a Latent Class Analysis Among U.S. Healthcare Providers.
Article in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Evidence of Potential Discriminatory HIV Pre-Exposure Prophylaxis (PrEP) Prescribing Practices for People Who Inject Drugs Among a Small Percentage of Providers in the U.S.Journal of primary care & community healthArticle
- Determinants of Familiarity and Experience with HIV Pre-Exposure Prophylaxis in Primary Care Providers in Ontario, Canada.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Interventions are needed to expand HIV pre-exposure prophylaxis (PrEP) prescribing practices among healthcare providers, but research classifying providers to determine tailored intervention needs is lacking. Providers reported demographics, factors related to HIV treatment and prevention experience, and PrEP-related factors such as knowledge and community protection beliefs via online survey. Latent class analysis grouped providers with similar patterns of HIV prevention- and treatment-related care and tested for associations with demographics and PrEP-related factors. Three distinct classes of providers emerged: (1) PrEP naïve, (2) PrEP aware, and (3) PrEP prescribers. Providers with lower community protection beliefs and staff capacity were more likely to be classified as PrEP naïve compared to aware (ps < 0.05). Providers with concerns about PrEP-related tasks and staff capacity were more likely to be classified as PrEP aware compared to prescribers (ps < 0.05). PrEP-naïve providers could benefit from continuing education, whereas PrEP-aware providers might benefit from capacity building and prescribing optimization interventions.
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Registered trials
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.