Patient perspectives on the role of nurses in HIV pre-exposure prophylaxis care (PrEP-RN)
Bibliographic record
Abstract
INTRODUCTION: In response to ongoing new HIV diagnoses among gay, bisexual, and other men who have sex with men (gbMSM) and limited access points for HIV pre-exposure prophylaxis (PrEP) care, we established Canada's first nurse-led HIV prevention service in Ottawa, Canada-PrEP-RN. As part of this service, registered nurses became the primary provider in PrEP delivery and monitoring. OBJECTIVES: To (1) gather patients' sentiments and experiences related to nurse-led PrEP and (2) identify the implications for nurses working in sexual healthcare. METHODOLOGY: Qualitative interviews were conducted with 14 gbMSM participants who had received, or were presently enrolled in, HIV prevention care from nurses in the PrEP-RN clinic. Interview transcripts were reviewed and analyzed using thematic analysis. RESULTS: Our analysis revealed two major themes of: The Sexual Health Nurse as the Expert and Patients Reliance on Nurses. The first theme discussed patients' positive attitudes toward nurses, in terms of the knowledge nurses possessed and the kind and efficient services they. The accommodating nature of nurses, however, led patients to become dependent on their care, which was the focus of the second theme. This reliance on nurses created challenges when patients transitioned from PrEP-RN to alternate providers for ongoing care. CONCLUSION: These findings were examined to understand the effect of patients' perceptions of nurses on nursing practice. Despite patients' confidence in nurses' ability to provide PrEP care, the expectations they placed onto nurses to address the totality of their needs created competing demands for nurses to be both a leader in HIV prevention care-and fulfill the image of the caring, healthcare 'hero', which created feelings of moral distress among nurses. As increasing initiatives focus on task-shifting of healthcare roles to nurses, understanding the patients' perspective is essential in maintaining effective nurse-patient relationships.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".