Cost-Utility Analysis of the Ontario Fracture Screening and Prevention Program
Bibliographic record
Abstract
BACKGROUND: The Fracture Screening and Prevention Program (FSPP), a fracture liaison service (FLS), was implemented in the province of Ontario, Canada, in 2007 to prevent recurrent fragility fractures and to improve post-fracture care. The objective of this analysis was to determine the cost-effectiveness of the current model of the FSPP compared with usual care (no program) from the perspective of the universal public health-care payer (Ontario Ministry of Health and Long-Term Care [MOHLTC]), over the lifetime of older adults who presented with a fragility fracture of the proximal part of the femur, the proximal part of the humerus, or the distal part of the radius and were not taking medications to prevent or slow bone loss and reduce the risk of fracture (bone active medications). METHODS: We developed a state-transition (Markov) model to conduct a cost-effectiveness analysis of the FSPP in comparison with usual care. The model simulated a cohort of patients with a fragility fracture starting at 71 years of age. Model parameters were obtained from published literature and from the FSPP. Quality-adjusted life-years (QALYs) and costs in 2018 Canadian dollars were predicted over a lifetime horizon using a 1.5% annual discount rate. Health outcomes included subsequent proximal femoral, vertebral, proximal humeral, and distal radial fractures. Scenario and subgroup analyses were reported. RESULTS: The FSPP had lower expected costs ($277 less) and higher expected effectiveness (by 0.018 QALY) than usual care over the lifetime horizon. Ninety-four percent of the 10,000 Monte Carlo simulated incremental cost-effectiveness ratios (ICERs) demonstrated lower costs and higher effectiveness of the FSPP. CONCLUSIONS: The FSPP appears to be cost-effective compared with usual care over a lifetime for patients with fragility fracture. This information may help to quantify the value of the FSPP and to assist policy-makers in deciding whether to expand the FSPP to additional hospitals or to initiate similar programs where none exist. LEVEL OF EVIDENCE: Economic and Decision Analysis Level II. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".