Keeping Active with Texting after Stroke (KATS): a single-arm feasibility and acceptability study of a behavioural intervention to promote community-based physical activity after stroke rehabilitation
Bibliographic record
Abstract
OBJECTIVES: To test the feasibility and acceptability of a text-message-delivered behavioural intervention to promote and maintain physical activity and recovery after stroke rehabilitation. DESIGN: A single-arm acceptability and feasibility study. SETTING: Community rehabilitation services in two Health Board areas in Scotland. PARTICIPANTS: People with stroke who could participate in physical activities and use a mobile phone were recruited during rehabilitation and community rehabilitation. INTERVENTION: Keeping Active with Texting after Stroke (KATS) is an automated text message-delivered intervention informed by behaviour change theory. It delivers a structured sequence of 103 messages over 14 weeks to support the uptake and maintenance of physical activities following stroke rehabilitation. OUTCOMES: Data on recruitment, retention and satisfaction were collected. Semistructured interviews explored intervention acceptability. Preintervention and postintervention measures provided preliminary information on step count, functional independence, mental well-being, self-efficacy and quality of life. RESULTS: 18 men and 13 women were recruited; three withdrew before intervention commencement. All 28 participants who received at least one text message completed the study, indicating 100% retention. Median satisfaction score was 23/25 (range 12-25). All but one participant read and responded to texts, indicating good engagement. Effect sizes (Cohen's d; per cent change) were demonstrated in step count (0.2; 13%), extended activities of daily living (0.24; 8.3%) and mental well-being (0.35; 7%). Participants perceived KATS as acceptable, valuing messages and motivational prompts, but personalised tailoring was desired by some. CONCLUSIONS: Recruitment, retention and outcome measure completion were feasible, and KATS was perceived as acceptable. Findings suggest some modifications of messages and goal-setting processes are required to accommodate participants with diverse physical activity capabilities before a definitive trial. Promising indicators of effects were detected, although interpretation must be cautious because the study was not powered to determine efficacy, and there was no control group. Based on these findings, KATS will be further optimised before evaluating effectiveness in a randomised controlled trial. TRIAL REGISTRATION NUMBER AND PROTOCOL AVAILABILITY: ISRCTN 13704805 https://www.hra.nhs.uk/planning-and-improving-research/application-summaries/research-summaries/keeping-active-with-texting-after-stroke-kats/Protocol available https://www.isrctn.com/ISRCTN13704805?q=13704805&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10.
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".