Economic evaluation of compression stockings for the prevention of venous leg ulcer recurrence in Ontario
Bibliographic record
Abstract
OBJECTIVE: Approximately between 1.5 and 3.0 per 1000 people are affected by venous leg ulcers (VLUs). The treatment and management of VLUs is costly and recurrence is a major concern. There is evidence that compression stockings can reduce the rate of re-ulceration compared with no compression. We present the first cost-effective analysis of compression stockings in preventing recurrence of VLUs from the perspective of the Ontario healthcare system. METHOD: A cost-utility analysis with a five-year time horizon was conducted. Use of compression stockings was compared with usual care (no compression stockings). We simulated a hypothetical cohort of 65-year-old patients with healed VLUs, using a state-transition model. Model input parameters were obtained mainly from the published literature. We estimated quality-adjusted life years (QALYs) gained and direct medical costs. We conducted various sensitivity analyses. RESULTS: Compared with usual care, compression stockings were associated with higher costs and increased QALYs. Cost-utility analysis showed that the incremental cost-effectiveness ratio of compression stockings was $23,864 per QALY gained compared with no compression stockings. The most influential drivers of cost-effectiveness were the utility value of healed VLUs, cost of stockings, number of stocking replacements, monthly prevention cost and the risk of VLU recurrence. CONCLUSION: Compared with usual care, compression stockings were cost-effective in preventing VLUs, using a willingness-to-pay threshold of $50,000. These observations were consistent even when uncertainty in model inputs and parameters were considered.
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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 | 0.013 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".