From policy to practice: implementing frontline community health services for substance dependence-study protocol
Bibliographic record
Abstract
BACKGROUND: Substance abuse is a worldwide public health concern. Extensive scientific research has shown that screening and brief interventions for substance use disorders administered in primary care provide substantial benefit at relatively low cost. Frontline health clinicians are well placed to detect and treat patients with substance use disorders. Despite effectiveness shown in research, there are many factors that impact the implementation of these practices in real-world clinical practice. Recently, the Ministry of Health and Social Services in Quebec, Canada, issued two policy documents aimed at introducing screening and early intervention for substance abuse into frontline healthcare clinics in Quebec. The current research protocol was developed in order to study the process of implementation of evidence-based addiction treatment practices at three primary care clinics in Montreal (Phase 1). In addition, the research protocol was designed to examine the efficacy of overall policy implementation, including barriers and facilitators to addictions program development throughout Quebec (Phase 2). METHODS/DESIGN: Phase 1 will provide an in-depth case study of knowledge translation and implementation. The study protocol will utilize an integrated knowledge translation strategy to build collaborative mechanisms for knowledge exchange between researchers, addiction specialists, and frontline practitioners (guided by the principles of participatory-action research), and directly examine the process of knowledge uptake and barriers to transfer using both qualitative and quantitative methodologies. Evaluation will involve multiple measures, time points and domains; program uptake and effectiveness will be determined by changes in healthcare service delivery, sustainability and outcomes. In Phase 2, qualitative methods will be utilized to examine the contextual facilitators and barriers that frontline organizations face in implementing services for substance dependence. Phase 2 will provide the first study exploring the wide-scale implementation of frontline services for substance dependence in the province of Quebec and yield needed information about how to effectively implement mandated policies into clinical practice and impact public health. DISCUSSION: Findings from this research program will contribute to the understanding of factors associated with implementation of frontline services for substance dependence and help to inform future policy and organizational support for the implementation of evidence-based practices.
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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 | 0.073 | 0.061 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.081 | 0.019 |
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".