Evaluating the implementation of interdisciplinary patient-centred care intervention for people with multimorbidity in primary care: a qualitative study
Bibliographic record
Abstract
OBJECTIVE: A patient-centred care interdisciplinary pragmatic intervention to support self-management for patients with multimorbidity was implemented in one region of Quebec, Canada. This embedded study aimed to evaluate the process of implementation. DESIGN: A descriptive qualitative study was conducted in 2016-2017 using semistructured individual interviews. The Consolidated Framework for Implementation Research (CFIR) was used to guide the data coding, analysis and reporting of the findings. SETTING: The study took place in seven Family Medicine Groups in one region (Saguenay-Lac-Saint-Jean) of Quebec, Canada. PARTICIPANTS: Ten managers (including two family physicians) and 19 healthcare professionals (HCPs), nurses, kinesiologists, nutritionists and a respiratory therapist, were interviewed. RESULTS: Many key elements within the five CFIR domains were identified as impacting the implementation of the intervention : (1) intervention characteristics-evidence strength and quality, design quality and packaging, relative advantage and complexity; (2) outer setting-patients' needs and resources, external policies and incentives; (3) inner setting-structural characteristics, networks and communication, culture, compatibility, readiness for implementation and leadership engagement; (4) characteristics of the managers and HCPs-knowledge and belief about the intervention; (5) process-planning, opinion leaders, formally appointed internal implementation leaders, reflecting and evaluating. CONCLUSION: This study revealed the organisational and contextual aspects of the implementation based on different and complementary perspectives. With the growing demand for interdisciplinary teams in primary care, we believe that our insights will be helpful for practices, researchers, and policymakers interested in the implementation of disease prevention and management programmes for people with multiple chronic conditions in primary care. TRIAL REGISTRATION NUMBER: NCT02789800.
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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 | 0.026 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".