Impact of a centralized osteoporosis coordinator on post-fracture osteoporosis management: a cluster randomized trial
Bibliographic record
Abstract
UNLABELLED: We conducted a cluster randomized trial evaluating the effect of a centralized coordinator who identifies and follows up with fracture patients and their primary care physicians about osteoporosis. Compared with controls, intervention patients were five times more likely to receive BMD testing and two times more likely to receive appropriate management. INTRODUCTION: To determine if a centralized coordinator who follows up with fracture patients and their primary care physicians by telephone and mail (intervention) will increase the proportion of patients who receive appropriate post-fracture osteoporosis management, compared to simple fall prevention advice (attention control). METHODS: A cluster randomized controlled trial was conducted in small community hospitals in the province of Ontario, Canada. Hospitals that treated between 60 and 340 fracture patients per year were eligible. Patients 40 years and older presenting with a low trauma fracture were identified from Emergency Department records and enrolled in the trial. The primary outcome was 'appropriate' management, defined as a normal bone mineral density (BMD) test or taking osteoporosis medications. RESULTS: Thirty-six hospitals were randomized to either intervention or control and 130 intervention and 137 control subjects completed the study. The mean age of participants was 65 ± 12 years and 69% were female. The intervention increased the proportion of patients who received appropriate management within 6 months of fracture; 45% in the intervention group compared with 26% in the control group (absolute difference of 19%; adjusted OR, 2.3; 95% CI, 1.3-4.1). The proportion who had a BMD test scheduled or performed was much higher with 57% of intervention patients compared with 21% of controls (absolute difference of 36%; adjusted OR, 4.8; 95% CI, 3.0-7.0). CONCLUSIONS: A centralized osteoporosis coordinator is effective in improving the quality of osteoporosis care in smaller communities that do not have on-site coordinators or direct access to osteoporosis specialists.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".