Integrating and Disseminating Pre-Exposure Prophylaxis (PrEP) Screening and Dispensing for Black Men Who Have Sex With Men in Atlanta, Georgia: Protocol for Community Pharmacies
Bibliographic record
Abstract
BACKGROUND: Black men who have sex with men (BMSM) suffer from alarmingly high rates of HIV in the United States. Pre-exposure prophylaxis (PrEP) can reduce the risk of HIV infection by 99% among men who have sex with men, yet profound racial disparities in the uptake of PrEP persist. Low PrEP uptake in BMSM is driven by poor access to PrEP, including inconvenient locations of PrEP-prescribing physicians, distrust of physicians, and stigma, which limit communication about PrEP and its side effects. Previous work indicates that offering HIV prevention services in pharmacies located in low-income, underserved neighborhoods is feasible and can reduce stigma because pharmacies offer a host of less stigmatized health services (eg, vaccinations). We present a protocol for a pharmacy PrEP model that seeks to address challenges and barriers to pharmacy-based PrEP specifically for BMSM. OBJECTIVE: We aim to develop a sustainable pharmacy PrEP delivery model for BMSM that can be implemented to increase PrEP access in low-income, underserved neighborhoods. METHODS: This study design is a pilot intervention to test a pharmacy PrEP delivery model among pharmacy staff and BMSM. We will examine the PrEP delivery model's feasibility, acceptability, and safety and gather early evidence of its impact and cost with respect to PrEP uptake. A mixed-methods approach will be performed, including three study phases: (1) a completed formative phase with qualitative interviews from key stakeholders; (2) a completed transitional pilot phase to assess customer eligibility and willingness to receive PrEP in pharmacies during COVID-19; and (3) a planned pilot intervention phase which will test the delivery model in 2 Atlanta pharmacies in low-income, underserved neighborhoods. RESULTS: Data from the formative phase showed strong support of pharmacy-based PrEP delivery among BMSM, pharmacists, and pharmacy staff. Important factors were identified to facilitate the implementation of PrEP screening and dissemination in pharmacies. During the transitional pilot phase, we identified 81 individuals who would have been eligible for the pilot phase. CONCLUSIONS: Pharmacies have proven to be a feasible source for offering PrEP for White men who have sex with men but have failed to reach the most at-risk, vulnerable population (ie, BMSM). Increasing PrEP access and uptake will reduce HIV incidence and racial inequities in HIV. Translational studies are required to build further evidence and scale pharmacy-based PrEP services specifically for populations that are disconnected from HIV prevention resources. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35590.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.062 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.055 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".