Health TAPESTRY Ontario: A Multi-Site Randomized Controlled Trial Testing Implementation and Reproducibility
Bibliographic record
Abstract
PURPOSE Health Teams Advancing Patient Experience: Strengthening Quality (Health TAPESTRY) is a complex primary care program aimed at assisting older adults to stay healthier for longer. This study evaluated the feasibility of implementation across multiple sites, and the reproducibility of the effects found in the previous randomized controlled trial. METHODS This was a pragmatic, unblinded, 6-month parallel group randomized controlled trial. Participants were randomized (intervention or control) using a computer-generated system. Eligible patients, aged 70 years and older, were rostered to 1 of 6 participating interprofessional primary care practices (urban and rural). In total, 599 (301 intervention, 298 control) patients were recruited from March 2018 through August 2019. Intervention participants received a home visit from volunteers to collect information on physical and mental health, and social context. An interprofessional care team created and implemented a plan of care. The primary outcomes were physical activity and number of hospitalizations. RESULTS Based on the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework, Health TAPESTRY had widespread reach and adoption. In the intention-to-treat analysis (257 intervention, 255 control), there were no statistically significant between-group differences for hospitalizations (incidence rate ratio = 0.79; 95% CI, 0.48-1.30; P = .35) or total physical activity (mean difference = −0.26; 95% CI, −1.18 to 0.67; P = .58). There were 37 non-study related serious adverse events (19 intervention, 18 control). CONCLUSIONS We found Health TAPESTRY was successfully implemented for patients in diverse primary care practices; however, implementation did not reproduce the effect on hospitalizations and physical activity found in the initial randomized controlled trial.
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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 | 0.087 | 0.076 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".