Barriers and facilitators to buprenorphine use for opioid agonist treatment: protocol for a scoping review
Bibliographic record
Abstract
INTRODUCTION: In the context of the opioid crisis in North America, the benefits of evidence-based opioid agonist treatments such as buprenorphine/naloxone have not been optimised due to low uptake. Numerous factors contribute to the underuse of buprenorphine, and theory-informed approaches to identify and address implementation barriers and facilitators are needed. This scoping review aims to characterise the barriers and facilitators at the patient, healthcare professional, organisation and system level according to the Theoretical Domains Framework (TDF), and identify gaps to inform practice and policy. METHODS AND ANALYSIS: We will conduct a scoping review using established methods and follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. We will identify English and French-language peer-reviewed literature by searching five electronic bibliographic databases (MEDLINE, Embase, PsychINFO, CINAHL, and SocINDEX), from inception and use Google, websites of key organisations, and two or more custom search engines to identify relevant grey literature. Eligible records will be quantitative or qualitative studies that examine barriers and facilitators to buprenorphine use at the patient, healthcare professional, organisation and system level, and involve participants with diagnosis of opioid use disorder or professionals involved in their care. Two reviewers will be involved in independently screening, reviewing and charting the data and calibration exercises will be conducted at each stage. We will conduct descriptive analysis for the charted data, and deductively code barriers and facilitators using the TDF. ETHICS AND DISSEMINATION: As a scoping review of the literature, this study does not require ethics approval. Our dissemination strategy will focus on developing tailored activities to meet the needs of diverse knowledge user audiences. Barriers and facilitators mapped to the TDF can be linked to evidence-based strategies for change to improve buprenorphine use and access, and enable practice to reduce opioid-related harms.
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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 | 0.104 | 0.091 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.012 | 0.016 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.082 | 0.016 |
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".