Advancing HIV pre-exposure prophylaxis (PrEP) implementation in Canada: a scoping review protocol of programmes, practices and policies
Bibliographic record
Abstract
INTRODUCTION: HIV pre-exposure prophylaxis (PrEP) is an effective HIV prevention tool, reducing infection risk by up to 99% when used as prescribed. Despite its proven efficacy, PrEP uptake remains suboptimal, particularly among high-risk populations in Canada. Barriers to access and uptake, including stigma, financial constraints and healthcare accessibility, persist, highlighting the need for targeted interventions. The objective of this scoping review is to identify and map the extent and types of interventions, programmes, practices and policies aimed at increasing the acceptance, access, uptake and sustained use of HIV PrEP in Canada. METHODS AND ANALYSIS: This review will use the Joanna Briggs Institute (JBI) Scoping Review methodology. Databases to be searched are MEDLINE, Embase, PsycINFO, Cochrane Library, CINAHL, Scopus and Web of Science from 2016 onwards. Two independent reviewers will screen studies, based on the inclusion criteria. The search results will be presented in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram. Data will be extracted from relevant studies by two independent reviewers and summarised to inform future research and policy development. This review will include studies focusing on individuals in Canada who are eligible for or using PrEP for HIV prevention. The interventions considered will address the awareness, acceptance, access, uptake and sustained use of PrEP. Studies must be set within the Canadian context, considering geographic, cultural and systemic factors. Exclusions include studies conducted outside Canada or those not addressing HIV prevention interventions. ETHICS AND DISSEMINATION: . The findings of this research will be shared through peer-reviewed journal articles, conference presentations and may be relevant to governmental health agencies and local HIV/AIDS service organisations. REGISTRATION: The protocol has been registered with Open Science Framework at https://doi.org/10.17605/OSF.IO/C7S4Z.
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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 | 0.103 | 0.087 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.012 | 0.013 |
| Bibliometrics | 0.026 | 0.026 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.056 | 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".