The effect of geographic location and payor type on provincial-wide delivery of the GLA:D program for hip and knee osteoarthritis in Alberta, Canada
Bibliographic record
Abstract
Objective: The Good Life with osteoArthritis: Denmark (GLA:D™) program for knee and hip osteoarthritis has been shown to be effective, but evaluations have yet to explore whether effectiveness differs by program context. The present study explores whether there are differences in effectiveness of the GLA:D™ program for treatment of hip and knee osteoarthritis across program location (i.e., rural, urban, metro) and program payor (i.e., public, private) within Alberta, Canada. Design: The study population was adults with hip or knee osteoarthritis attending the 8-week GLA:D™ supervised exercise and education programme in Alberta between Sep 2017-Mar 2020. Outcomes of interest were joint-related pain and quality of life (HOOS/KOOS), health quality of life (EQ-5D-5L), and performance-based functional (30-s chair stand test; 40-m walk test) measures. Minimally clinically important changes were calculated for each outcome and ANOVA and chi-square tests were used to determine statistical significance by program location or payor. Results: Of the 1321 eligible participants, 974 (73.7%) completed the baseline questionnaire, about 50% of participants participated in a metro area and 60% paid privately for the program. There were no statistically significant differences in improvements of joint-related pain, joint-related quality of life, health-related quality of life, or performance-based functional measures by program location or program payor, except for participants who received the program in a publicly covered primary care clinic who experienced significantly larger improvements in joint-related pain. Conclusion: The implementation of the GLA:D™ program for the treatment of knee and hip osteoarthritis in Alberta is effective across a range of contexts.
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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".