Applications of tele-rehabilitation in occupational therapy in a geriatric day hospital
Bibliographic record
Abstract
Purpose: During the COVID-19 pandemic, services of our hospital were suspended. We launched a tele-rehabilitation programme to provide four core occupational therapy services: home assessment and modification, assistive device prescription and usage review, activities of daily living and cognitive assessment and home programme, and carer skills assessment and education. Methods: All patients in our hospital were contacted through phone calls and mobile applications. They were assessed before and after the programme using the Montreal Cognitive Assessment Hong Kong Version, the Modified Barthel Index, and the Lawton Instrumental Activity of Daily Living. Satisfaction of service users to tele-rehabilitation was also assessed. Results: From March to June 2020, 139 patients received tele-rehabilitation and 109 of them completed full evaluation. The Montreal Cognitive Assessment Hong KongVersion score increased from 16.9 to 17.8 (p<0.001);the Modified Barthel Index increased from 74.4 to 78.7 (p<0.001);and the Lawton Instrumental Activity of Daily Living score increased from 3.1 to 3.4 (p<0.001). 135 service users completed the service satisfaction survey. 64% agreed that the tele-rehabilitation improved or sustained their self-care ability. 62% agreed that the service helped fall prevention and home safety. 96% agreed that tele-rehabilitation should be integrated into routine services in future, including a home programme, home safety screening, assistive device prescription, and follow-up evaluations. 61 of service users were caregivers;33% of them agreed that their caring stress was alleviated. Conclusion: The COVID-19 pandemic speeds up the application of tele-rehabilitation in our hospital. Occupational therapists gain experience of this mode of service. Early screening and early intervention is an advantage of the programme. Tele-rehabilitation can play a supplementary role in conventional practice.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".