A Brief Educational Pre-exposure Prophylaxis Intervention in an Infectious Disease Clinic: Protocol for a Case Series Study
Bibliographic record
Abstract
BACKGROUND: Black men who have sex with men (BMSM) remain the highest group infected with HIV despite treatment with medications known as pre-exposure prophylaxis (PrEP). PrEP in combination with safer sex practices has shown efficacy in preventing HIV infection. Despite awareness campaigns, PrEP uptake remains low among BMSM. While brief educational interventions have value in fast-paced clinical settings with limited appointment times, a brief PrEP educational intervention has not been initiated with BMSM in a fast-paced outpatient infectious disease clinic in North Carolina. OBJECTIVE: The purpose of this study was to examine the effect of initiating a brief PrEP educational intervention to reduce HIV infection rates in BMSM in a fast-paced infectious disease clinic delivered by a doctoral-prepared nurse practitioner. METHODS: This case-series study uses a brief educational intervention to develop and pilot-test a brief PrEP educational uptake intervention with BMSM. The participants met with the nurse practitioner at 3 different time points: baseline, 4 weeks later (first visit), and at the 3-month follow-up (second visit). We used a pretest-posttest design to examine the primary outcomes of PrEP knowledge, medication adherence, and sexually transmitted infection outcomes. RESULTS: Due to the COVID-19 pandemic, the recruitment process was delayed. From November 1, 2019, to August 30, 2021, a total of 7 participants consented to participate in the study. Data analysis will be completed by the end of September 2022. We will submit a manuscript for publication consideration by December 2022. CONCLUSIONS: Brief educational interventions delivered in a fast-paced infectious disease clinic have the potential to increase PrEP awareness and knowledge, medication adherence, and decreased rates of sexually transmitted diseases in BMSM. This protocol will contribute to the literature on the development of brief PrEP educational interventions and has the potential to be generalized to other populations (eg, women and adolescents). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/33093.
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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 | 0.034 | 0.025 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.050 | 0.010 |
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".