Perceptions, motivations, and beliefs about HIV risk and pre-exposure prophylaxis (PrEP) among participants in a nurse-led PrEP service (PrEP-RN)
Bibliographic record
Abstract
Abstract Background While HIV pre-exposure prophylaxis (PrEP) has become more readily available in Canada, its uptake among HIV priority populations continues to be affected by system-level and individual factors. Such impediments relate to challenges by healthcare providers in assessing HIV-related risk and variability in patients’ motivations for PrEP initiation and continued engagement in care. Methods In Ottawa, Canada, a group of researchers implemented Canada’s first nurse-led HIV prevention program, known as PrEP-RN. As part of this pilot, qualitative interviews were completed with fourteen patients who had accessed PrEP-RN. The purpose of these interviews was to understand participants’ perspectives related to HIV prevention and experiences accessing care through a nurse-led service. Interviews were analyzed using thematic analysis, which were organized into the two major themes of (1) motivations for PrEP initiation and (2) beliefs about the benefits of PrEP. Results Findings revealed participants’ motivations for PrEP differed from healthcare provider’s views of risk, which were influenced by external life factors and personal perceptions of risk. In addition, participants discussed the benefits of PrEP in terms of its ability to manage their potential mistrust of sexual partners, control their sexual health, and liberate fears and anxieties related to HIV. Conclusions Based on these findings, health and allied providers should consider incorporating individual motivations and beliefs into patient education and counselling about PrEP to better target HIV prevention care at persons are at elevated risk of HIV. These perspectives could also be used to re-structure web and social media campaigns to increase PrEP uptake among HIV priority populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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 teacher head, 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".