Patients' Perspectives on and Experiences of Home Exercise Programmes Delivered with a Mobile Application
Bibliographic record
Abstract
Purpose: We explored patients' perspectives on home exercise programmes (HEPs) and their experiences using a mobile application designed to facilitate home exercise. Method: Data were generated using qualitative, semi-structured, face-to-face interviews with 10 participants who were receiving outpatient physiotherapy. Results: Establishing a therapeutic partnership between physiotherapists and patients enabled therapists to customize the HEPs to the patients' lifestyles and preferences. Analysis suggests that using the mobile application improved participants' ability to integrate the HEP into their daily life and was overwhelmingly preferred to traditional paper handouts. Conclusions: The results suggest that efforts to engage patients in HEPs need to take their daily lives into account. To move in this direction, sample exercise prescription questions are offered. Mobile applications do not replace the clinical encounter, but they can be an effective tool and an extension of delivering personalized HEPs in an existing therapeutic partnership.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".