How Community-Based Teams Use the Stroke Recovery in Motion Implementation Planner: Longitudinal Qualitative Field Test Study
Bibliographic record
Abstract
BACKGROUND: The Stroke Recovery in Motion Implementation Planner guides teams through the process of planning for the implementation of community-based exercise programs for people with stroke, in alignment with implementation science frameworks. OBJECTIVE: The purpose of this study was to conduct a field test with end users to describe how teams used the Planner in real-world conditions; describe the effects of Planner use on participants' implementation-planning knowledge, attitudes, and activities; and identify factors influencing the use of the Planner. METHODS: This field test study used a longitudinal qualitative design. We recruited teams across Canada who intended to implement a community-based exercise program for people with stroke in the next 6 to 12 months and were willing to use the Planner to guide their work. We completed semistructured interviews at the time of enrollment, monitoring calls every 1 to 2 months, and at the end of the study to learn about implementation-planning work completed and Planner use. The interviews were analyzed using conventional content analysis. Completed Planner steps were plotted onto a timeline for comparison across teams. RESULTS: We enrolled 12 participants (program managers and coordinators, rehabilitation professionals, and fitness professionals) from 5 planning teams. The teams were enrolled in the study between 4 and 14 months, and we conducted 25 interviews. We observed that the teams worked through the planning process in diverse and nonlinear ways, adapted to their context. All teams provided examples of how using the Planner changed their implementation-planning knowledge (eg, knowing the steps), attitudes (eg, valuing community engagement), and activities (eg, hosting stakeholder meetings). We identified team, organizational, and broader contextual factors that hindered and facilitated uptake of the Planner. Participants shared valuable tips from the field to help future teams optimize use of the Planner. CONCLUSIONS: The Stroke Recovery in Motion Implementation Planner is an adaptable resource that may be used in diverse settings to plan community-based exercise programs for people with stroke. These findings may be informative to others who are developing resources to build the capacity of those working in community-based settings to implement new programs and practices. Future work is needed to monitor the use and understand the effect of using the Planner on exercise program implementation and sustainability.
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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 | 0.021 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".