Advancing Type 2 Diabetes as a Condition for Primary Referral to Physiotherapy in Canada
Bibliographic record
Abstract
Obesity and sedentary lifestyle are increasingly prevalent risk factors for type 2 diabetes (T2D), characterized by high blood glucose levels. Adoption and maintenance of healthy eating, physical activity, and exercise is recommended for lowering blood glucose and weight management. Physiotherapists are experts in prescribing safe, effective exercise to optimize health for people with co-morbid health conditions. However, T2D is not a primary condition for referral to physiotherapy services in Canada. The overall question guiding a series of three related studies was, What is the current education and perspectives of Canadian physiotherapists about their role in managing T2D? Study one surveyed and interviewed Canadian physiotherapy educators (n=10) as content experts of academic training of entry-to-practice physiotherapists. Participants held the opinion that physiotherapists are educated to assess for and manage diabetes complications, including peripheral neuropathy, lower limb amputations, and cardiovascular disease. Educators reported T2D is considered as a co-morbid health condition currently in curriculum. Study two detailed the perspectives of physiotherapists (n=21) through interviews. Physiotherapists agreed they would welcome the primary referral of people with T2D. They advocated physiotherapists can provide effective care for people with T2D, as a condition of primary referral, through education, prescription and supervision of exercise, and supporting healthy lifestyle behaviours. Lastly, study three examined the effectiveness of an 8-week supervised group education and exercise program, ‘Get Fit for Active Living with Diabetes’ (GFAL-D), for 12 people with T2D, exploring motivation at one-, six- and 12-month follow ups through interviews. Clinically significant improvements were observed for waist circumference, systolic blood pressure, six-minute walk test (6MWT), timed up-and-go (TUG), 30-second chair stand test (CST) and arm curls. Follow up with a physiotherapy student was a motivator contributing to physical activity adherence within an episodic pattern of adherence throughout the year post-GFAL-D. In conclusion, entry-to-practice physiotherapists are trained to provide direct care employing exercise prescription and monitoring, behaviour change for living healthy lifestyles, and recognition of uncontrolled disease for referral to medical team members. Promotion of physiotherapy as a resource and partnership for referral from primary health care providers is needed to optimize health for people living with T2D.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".