An International Core Capability Framework for Physiotherapists to Deliver Quality Care via Videoconferencing: A Delphi Study
Bibliographic record
Abstract
Background The provision of physiotherapy care via telehealth is becoming increasingly common and, in some circumstances, is a necessity, as observed during the COVID-19 pandemic. Therefore, it is important to understand what are the core capabilities that physiotherapists need in order to deliver quality care via videoconferencing. Objective The objective of our study was to develop a discipline-specific core capability framework for physiotherapists to deliver quality care via videoconferencing. Methods An international Delphi panel comprising a steering group and experts in the field, including physiotherapy researchers, physiotherapy clinicians, representatives of physiotherapy organizations, and consumers, was established by drawing on the research team’s academic, research, and clinical networks as well as contacting international physiotherapy organizations. The draft framework was developed by the research team and steering group, based on relevant documents identified within the literature. The panel considered a draft framework of 73 specific capabilities mapped across 8 domains. Over 3 rounds, panelists rated their agreement (Likert or numerical rating scales) on whether each capability was essential (core) for physiotherapists to deliver quality care via videoconferencing. The capabilities that achieved consensus, defined as 75% of the panel ratings being ≥7 out of 10 in round 3, were retained. Results A total of 130 panelists from 32 countries participated in round 1, with retention rates of 65% and 60% in rounds 2 and 3, respectively. The final framework comprised 60 capabilities across the following seven domains: compliance (capabilities: n=7), patient privacy and confidentiality (capabilities: n=4), patient safety (capabilities: n=7), technology skills (capabilities: n=7), telehealth delivery (capabilities: n=16), assessment and diagnosis (capabilities: n=7), and care planning and management (capabilities: n=12). Conclusions This framework outlines the specific core capabilities that are required of physiotherapists to provide quality care via videoconferencing. The core capability framework provides guidance for physiotherapists to deliver care via videoconferencing and will help inform the future development of physiotherapy curricula and professional development initiatives in the delivery of telehealth. Acknowledgments The members of the International Videoconferencing Steering Group are Michael Billings, Carmen Cooper-Oguz, Karen Finnan, Sarah Gallagher, Daniel Kenneth Gilbertson, Lesley Holdsworth, Anne Holland, Jeremey McAlister, Dan Miles, and Robin Rots. Conflict of Interest No conflicts declared.
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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 | 0.132 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".