Barriers and facilitators to office-based opioid agonist therapy prescribing and effective interventions to increase provider prescribing: protocol for a systematic review
Bibliographic record
Abstract
BACKGROUND: Opiate agonist therapy (OAT) prescribing rates by family physicians are low in the context of community-based, comprehensive primary care. Understanding the factors that support and/or inhibit OAT prescribing within primary care is needed. Our study objectives are to identify and synthesize documented barriers to, and facilitators of, primary care opioid agonist prescribing, and effective strategies to inform intervention planning and support increased primary care OAT prescribing. METHODS/DESIGN: We will systematically search EMBASE, CINAHL, PsycINFO, Cochrane Central Register of Controlled Trials, MEDLINE, and gray literature in three domains: primary care providers, opioid agonist therapy, and opioid abuse. We will retain and assess primary studies reporting documented participation, or self-reported willingness to participate, in OAT prescribing; and/or at least one determinant of OAT prescribing; and/or strategies to address determinants of OAT prescribing from the perspective of primary care providers in comprehensive, community-based practice settings. There will be no restrictions on study design or publication date. Studies limited to specialty clinics with specialist prescribers, lacking extractable data, or in languages other than English or French will be excluded. Two reviewers will perform abstract review and data extraction independently. We will assess the quality of included studies using the Joanna Briggs Institute Critical Appraisal Tool. We will use a framework method of analysis to deductively code barriers and facilitators and to characterize effective strategies to support prescribing using a combined, modified a priori framework comprising the Theoretical Domains Framework and the Consolidated Framework for Implementation Research. DISCUSSION: To date, no synthesis has been undertaken of the barriers and facilitators or effective interventions promoting OAT prescribing by primary care clinicians in community-based comprehensive care settings. Enacting change in physician behaviors, community-based programming, and health services is complex and best informed by using theoretical frameworks that allow the analysis of the available data to assist in designing and implementing interventions. In light of the current opioid crisis, increasing the capacity of primary care clinicians to provide OAT is an important strategy to curb morbidity and mortality from opioid use disorder. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD86835.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
| gpt | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".