Referral pathway and competency profiles of primary care physiotherapists and kinesiologists for physical activity interventions for diabetes: a modified Delphi study
Bibliographic record
Abstract
BACKGROUND: High quality diabetes care is an essential service in primary care settings since the prevalence and associated complications of diabetes is increasing. Physical activity is effective for the prevention and management of diabetes yet is underutilized in diabetes care. Exercise professionals have specialized skills to deliver physical activity interventions, but effective interprofessional collaboration for diabetes care requires role clarity. This study established the competencies of entry-level physiotherapists and kinesiologists for physical activity interventions for diabetes care in primary care settings and used these competencies to develop clinical tools to promote role clarity in interprofessional care teams. METHODS: We used a modified Delphi process. Eleven physiotherapy and three kinesiology subject matter experts participated in two rounds of Delphi surveys to develop discipline and context specific competencies. These competencies were used to draft competency profiles and a referral pathway tool. Eleven of the participants then participated in a focus group for member-checking of the tools. Descriptive statistics and content analysis were used to analyze quantitative and qualitative data respectively. RESULTS: The modified Delphi process resulted in 38 physiotherapy and 27 kinesiology competencies that identify the distinct roles of physiotherapists and kinesiologists in delivering physical activity interventions for diabetes care. The physiotherapy competencies describes their unique role in supporting people with all types of diabetes to engage in physical activity despite complex medical or physical barriers. The kinesiology competencies indicate where these professionals may require additional training, especially when working with people living with type 1 diabetes or who are pregnant. All developed tools had good face validity and were seen to be potentially useful tools by the subject matter experts. CONCLUSIONS: The findings highlight that both physiotherapists and kinesiologists have fundamental skills and abilities to deliver physical activity interventions to people living with diabetes, but that different exercise professionals may be needed depending on the complexity of the clinical profile. The developed clinical tools support improved interprofessional collaboration by clarifying physiotherapy and kinesiology roles in delivering physical activity interventions for diabetes care and highlighting how the two distinct professions can contribute to addressing the growing diabetes epidemic in primary 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 | 0.000 | 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 | 0.000 | 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".