Implementing shared decision-making in interprofessional home care teams (the IPSDM-SW study): protocol for a stepped wedge cluster randomised trial
Bibliographic record
Abstract
INTRODUCTION: The frail elderly in Canada face a tough decision when they start to lose autonomy: whether to stay at home or move to another location. This study seeks to scale up and evaluate the implementation of shared decision-making (SDM) in interprofessional (IP) home care teams caring for elderly clients or their caregivers facing a decision about staying at home or moving elsewhere. METHODS: A stepped wedge cluster randomised trial involving 8 Health and Social Service Centers (HSSCs) will be conducted with IP home care teams. HSSCs are the unit of randomisation. A decision guide will be passively distributed to all of the participating HSSCs at the beginning of the project. The participating HSSCs will then be randomised to 1 of 4 intervention start times, separated by 7-month intervals. The primary outcome is whether or not clients and caregivers assumed an active role in decision-making, assessed with a modified version of the Control Preferences Scale. The intervention, targeted at IP home care teams, consists of a 1.5 hour online tutorial and a 3.5 hour skills building workshop in IP SDM. Clients will be eligible for outcome assessment if they (1) are aged ≥65; (2) are receiving care from the IP home care team of the enrolled HSSCs; (3) have made a decision about whether to stay at home or move to another location during the recruitment periods; (4) are able to read, understand and write French or English; (5) can give informed consent. If clients are not able to provide informed consent, their primary caregiver will become the eligible participant. ETHICS AND DISSEMINATION: Ethics committee review approval has been obtained from the Multicenter Ethics Committee of CISSS-Laval. Results will be disseminated at conferences, on websites of team members and in peer-reviewed and professional journals intended for policymakers and managers. TRIAL REGISTRATION NUMBER: NCT02592525, Pre-results.
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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 | 0.063 | 0.053 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.012 | 0.007 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.084 | 0.015 |
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".