Implementing enhancements in supervised group exercise for people with axial spondyloarthritis: a hybrid effectiveness–implementation study
Bibliographic record
Abstract
OBJECTIVES: The content of supervised group exercise (SGE) for axial spondyloarthritis (axSpA) has hardly changed in recent decades, despite new evidence-based insights to improve SGE quality. This pilot implementation study evaluated the effects and feasibility of enhancements in axSpA-specific SGE in four regions in the Netherlands. METHOD: The implemented enhancements included: more high-intensity aerobic exercise; exercise personalization with periodic assessments; and patient education on home exercise. The implementation strategy included a one-day supervisor training course and telephone support. To evaluate effects, aerobic capacity [Six-Minute Walk Test (6MWT)], physical functioning [Ankylosing Spondylitis Performance-based Improvement (ASPI); improved/not improved], health status [Assessment of SpondyloArthritis international Society Health Index (ASAS HI) questionnaire], and home exercise engagement [Short QUestionnaire to ASsess Health-enhancing physical activity (SQUASH)] were assessed at baseline and after one year in 60 participants. Changes were analysed with the Wilcoxon signed-rank test. To evaluate feasibility, a survey of participants and semi-structured interviews with four SGE supervisors assessed uptake and satisfaction with the enhancements. RESULTS: Aerobic capacity increased significantly and 35% of participants improved functioning, whereas health status and home exercise engagement did not change. The participants' survey and supervisors' interviews showed that high-intensity aerobic exercise was implemented successfully, exercise personalization and periodic assessments were implemented partially, and patient education was not implemented at all. Most participants were satisfied with the changes. CONCLUSIONS: After this pilot implementation, SGE enhancements were only partially implemented. Nevertheless, aerobic capacity improved significantly and satisfaction with accomplished changes was high. Nationwide implementation would require adaptations to improve feasibility.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".