Exploring community-dwelling stroke survivors’ experiences of receiving a nurse-led theory-based stroke self-management programme
Bibliographic record
Abstract
ABSTRACT: International evidence-based guidelines recommend self-management support for stroke survivors to improve their health outcomes. We developed a 4-week nurse-led stroke self-management programme (SSMP) and conducted a randomised controlled trial to assess its effects. This paper reports the findings of a qualitative study nested within the randomised controlled trial to explore stroke survivors' experiences of SSMP participation. Semi-structured interviews were conducted with all adult participants who were clinically diagnosed with a first or recurrent ischaemic or haemorrhagic stroke, residing at home, communicable in Cantonese, had a Montreal Cognitive Assessment score below the second percentile, and participated in at least 1 SSMP session. All interviews were conducted in Cantonese, lasted approximately 45 minutes, and were audio-recorded. Interview data were transcribed verbatim and analysed thematically. Sixty-four stroke survivors (mean age 66.33 years, SD 12.34) were recruited, and 59 were interviewed via phone immediately after completion of SSMP. Three themes were derived. Overall, participants were satisfied with the SSMP. Their understanding of self-management was improved, and they recognised its importance in recovery. Their confidence in self-management was also enhanced through the use of multifaceted strategies. Suggestions were made to enhance their participation experiences, including increased home visits and group sessions, making group session attendance optional and arranging them more accessibly, meeting the survivors who shared their survival experiences in the videos, and access to the videos online. This study concurred that the SSMP enhanced stroke survivors' self-efficacy in self-management. Rearrangement of the programme format and enhancements in accessibility could be further examined to enable more effective stroke self-management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".