A brief physiotherapist-led behaviour-change intervention to facilitate walking in older people with peripheral arterial disease:protocol for a randomised controlled trial
Bibliographic record
Abstract
Background: Walking is a recommended but underused treatment for intermittent claudication (IC) caused by peripheral arterial disease. Following feasibility evaluation, the efficacy of a novel physiotherapist-led intervention targeting walking in people with IC will be evaluated. Methods: A phase II, multicentre, parallel, two-arm, single-blind, randomised controlled superiority trial will allocate (1:1, stratified by site) 192 people with IC to receive MOtivating Structured walking in Intermittent Claudication (MOSAIC) or usual NHS care. MOSAIC includes two 60-min individual face-to-face sessions and two 20-minute telephone boosters delivered over three months by a physiotherapist trained in motivational interviewing and behaviour-change techniques. The primary outcome is walking ability (6 Minute Walking Distance [6MWD]) 3 months post-randomisation. Secondary outcomes include, walking ability, activities of daily living, and quality of life (3 and 6-months). A qualitative sub-study (purposive sample of ~30 participants,10 physiotherapists) will explore in-depth experiences. A process evaluation of MOSAIC implementation, mechanisms, and unexpected pathways and consequences will be conducted. Results: Intention-to-treat analysis using multiple regression (baseline 6MWD value, stratification factor and centre as covariates) will evaluate the primary outcome. Mean differences (95% Confidence Intervals) between groups will be reported. Other continuous outcomes will be evaluated similarly. Logistic regression will be used to analyse binary outcomes. Interviews with up to 30 participants and physiotherapists will be analysed thematically. Discussion: MOSAIC is designed to support walking self-management in people with IC who frequently receive only simple walking advice, which is ineffective. Conclusion: If efficacious, MOSAIC will enable people with IC to improve their mobility, daily activities, independence and quality of life.
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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 | 0.036 | 0.031 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.012 | 0.006 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.096 | 0.017 |
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".