Physical Activity Together for Multiple Sclerosis (PAT-MS): A randomized controlled feasibility trial of a dyadic behaviour change intervention
Bibliographic record
Abstract
Many people with advanced multiple sclerosis (MS) and their care-partners do not engage in sufficient physical activity (PA) for health benefits. We developed “Physical Activity Together for MS (PAT-MS)”, a 12-week dyadic behavioural intervention, to promote PA among these dyads. Herein, we evaluated the feasibility of PAT-MS before a definitive trial. A randomized controlled feasibility trial, with 1:1 allocation into the intervention or wait-list control condition. Predefined progression criteria included rates of recruitment, retention, safety, participant satisfaction and adherence. Changes in self-reported and accelerometer-measured PA were assessed at baseline and post-intervention using mixed-factor ANOVAs. Effects sizes were calculated as Cohen's d. The recruitment rate (i.e., 20 participants in 10 months) was not acceptable. However, retention (80%) was acceptable. No serious adverse events were reported. There were high levels of participant satisfaction with the intervention (content (median = 6 out 7), facilitator (median = 7 out of 7), and delivery (median = 5 out of 7)) and adherence (92% of the group sessions, 83% of the individual support calls, and 80% of the practice activities were completed). There were statistically significant time-by-condition interactions on self-reported PA, steps/day, and %wear time and minutes in sedentary behaviour, and moderate-to-vigorous PA from baseline to post-intervention in people with MS and their family care-partners. PAT-MS appears feasible, safe, and efficacious for PA promotion in MS dyads. We established effect size estimates to power a future definitive trial and identified necessary methodological changes to increase the efficiency of study procedures and improve the quality of the intervention. ClinicalTrials.gov NCT04267185; Registered February 12, 2020, https://clinicaltrials.gov/ct2/show/NCT04267185.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".