Allied health professionals knowledge and clinical practice in telehealth exercise behavioural change for multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: The growing importance of telehealth in multiple sclerosis (MS) necessitates an understanding of current practices and training needs of health professionals. We aimed to evaluate the knowledge, preparedness, and training preferences of Australian allied health professionals (AHPs) in telehealth exercise therapy and exercise behavioural change for MS patients to inform the development of educational training. METHODS: An online survey was completed by 58 Australian AHPs, including 34 physiotherapists, 14 exercise physiologists, and 10 occupational therapists, focusing on their current practices, preparedness, and training preferences in telehealth exercise and behavioural change for MS. The survey included multiple-choice, Likert scale, and free-text response questions. Data were analysed using binary and multinomial logistic regressions. RESULTS: Not all AHPs were aware of MS exercise guidelines (67% awareness), with exercise physiologists showing the highest familiarity. There was a significant understanding of the difference between physical activity and exercise, though definitions often lacked clarity. Most AHPs (91%) employed behavioural change strategies in their practice, especially goal-setting (95%), identifying facilitators (67%), and reinforcing progress (66%). While most (72%) felt prepared in promoting exercise to MS clients, there were differences in confidence levels concerning the prescription, modification, and teaching of telehealth exercise programs, with occupational therapists have significant less confidence in those domains compared to other AHPs. Most AHPs expressed interest in additional training, with a preference for online workshops focusing on exercise prescription for MS, behaviour change, and telehealth delivery methods. CONCLUSION: In our Australian AHP sample we identified that a quarter to a third of AHPs in MS care may not be confident or prepared to promote telehealth exercise and behavioural change to people with MS. Moreover, the findings highlight some disparity in knowledge and confidence levels amongst different AHPs concerning exercise therapy for MS, indicating the need for tailored multidisciplinary training programs. Such programs should address profession-specific educational gaps and training preferences, ensuring effective and safe telehealth exercise prescription in MS care.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".