Is Total Hip Arthroplasty a Cost-Effective Option for Management of Displaced Femoral Neck Fractures? A Trial-Based Analysis of the HEALTH Study
Bibliographic record
Abstract
BACKGROUND: Displaced femoral neck fractures are a significant source of morbidity and mortality and can be treated with either hemiarthroplasty (HA) or total hip arthroplasty (THA). Proponents of THA have argued THA offers lower risk of revision, with improved functional outcomes when compared to HA. To evaluate cost effectiveness of THA compared with HA, a trial-based economic analysis of the HEALTH study was undertaken. METHODS: Health care resource utilization (HRU) and health-related quality of life (HRQoL) data were collected postoperatively and costed using publicly available databases. Using EuroQol-5 Dimensions (EQ-5D) scores, we derived quality adjusted life years (QALYs). A 1.5% discount rate to both costs and QALYs was applied. Age analyses per age group were conducted. All costs are reported in 2019 Canadian dollars. RESULTS: When compared with HA, THA was not cost-effective for all patients with displaced femoral neck fractures ($150,000/QALY gained). If decision makers were willing to spend $50,000 or $100,000 to gain one QALY, the probability of THA being cost-effective was 12.8% and 32.8%, respectively. In a subgroup of patients younger than 73 (first quartile), THA was both more effective and less costly. Otherwise, THA was more expensive and yielded marginal HRQoL gains. CONCLUSIONS: Our results suggest that for most patients, THA is not a cost-effective treatment for displaced femoral neck fracture management versus HA. However, THA may be cost effective for younger patients. These patients experience more meaningful improvements in quality of life with less associated cost because of shorter hospital stay and fewer postoperative complications. LEVEL OF EVIDENCE: Economic 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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".