A provincial adaptation of clinical practice guidelines for depression in primary care: a case illustration of the <scp>ADAPTE</scp> method
Bibliographic record
Abstract
RATIONALE, AIMS AND OBJECTIVES: Mental health services for patients with a major depressive disorder are commonly delivered by primary care. To support the uptake of clinical practice guidelines in primary care, we developed and disseminated a practice protocol for depression tailored for a multidisciplinary audience of primary mental health care providers with the ADAPTE methodology. The research questions addressed in this study aimed at examining the experience of the development process of a mental health practice protocol in terms of adaptation, facilitation and implementation. METHODS: We present a descriptive case study of the development and implementation of a practice protocol for major depressive disorder for primary mental health care in the organizational and cultural context of the province of Québec (Canada), following the steps of the ADAPTE methodology. An expert committee composed of general practitioners, mental health specialists, health care administrators and decision makers at regional and provincial levels participated in the protocol development process. RESULTS: The practice protocol was based on two clinical practice guidelines: the NICE guideline on the treatment and management of depression in adults (2009, 2010) and the Canadian Network for Mood and Anxiety Treatments clinical guidelines for the management of major depressive disorder in adults (2009). A stepped care model was embedded in the protocol to facilitate the implementation of clinical recommendations in primary mental health care. A multifaceted dissemination strategy was used to support the uptake of the protocol recommendations in clinical practice. CONCLUSIONS: The ADAPTE methodology provided structure, rigour and efficiency to the trans-contextual adaptation of guideline recommendations. We will share the challenges associated with the adaptation of clinical recommendations and organizational strategies for a mental health guideline, and the dissemination of the practice protocol in primary care.
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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 | 0.055 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".