Best practice recommendations for physiotherapists providing telerehabilitation to First Nations people: a modified Delphi study
Bibliographic record
Abstract
Objectives This study aimed to develop best practice recommendations for physiotherapists providing telerehabilitation to First Nations people. Design Modified Delphi study. Participants Eighteen experts from four groups were selected: (a) physiotherapists who provide telerehabilitation to First Nations people, (b) Carrier Sekani Family Services leaders (CSFS, First Nations-led health organization/research partners), (c) telehealth experts from British Columbia (BC), Canada, and (d) First Nations individuals (end users) with experience in telerehabilitation. Methods Panelists rated recommendations on telehealth best practices in two rounds using an online questionnaire. Recommendations were synthesized from a scoping review and two qualitative studies. Each statement was rated on a four-point Likert scale indicating whether it was essential, useful, not useful, or unnecessary for inclusion in the best practices. Statements endorsed by ≥80% of panel members were considered for inclusion in the final document. Results Following the Delphi process, 77 recommendations covering foundational components, information technology utilization, professional expertise, therapeutic relationships, cultural safety, and the telehealth visit were validated for inclusion in the policy document. Participants also validated the methodology. Conclusion The recommendations offer a valuable resource for continuing education and professional development, empowering physiotherapists to enhance their skills and competencies in delivering culturally competent telerehabilitation to the First Nations population. The adoption of these best practices ensures that First Nations people are getting the best standard of care, potentially enhancing uptake and experiences with telehealth. It also enables healthcare organizations and policymakers to monitor adherence to established standards and identify areas for improvement. Contribution of the Paper •This paper provides best practice recommendations for physiotherapists delivering telerehabilitation to First Nations people, addressing unique cultural aspects and virtual relationship building. •The study offers physiotherapists expert guidance to enhance the quality and cultural appropriateness of telerehabilitation services for First Nations populations. •The recommendations serve as a valuable resource for continuing education and professional development, enabling physiotherapists to deliver culturally competent and effective care. •These best practices facilitate accountability and quality assurance, helping healthcare organizations and policymakers monitor adherence to standards and identify areas for improvement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".