Inpatient cost of treating osteoporotic fractures in mainland China: a descriptive analysis
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: The objective of this study was to provide new estimates on the per-admission inpatient hospital cost and per-admission length of stay (LOS) for osteoporosis-related fractures in mainland China. MATERIALS AND METHODS: Data for inpatient hospitalization associated with at least one osteoporosis-related fracture were obtained from the nationwide China Health Insurance Research Association and were analyzed post hoc. Patients' data were included if the patients were ≥50 years old and diagnosed with osteoporosis and pathologic fracture, or osteoporosis therapy and fragility fracture by an International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) code designation, between 2008 and 2010. RESULTS: The analysis included 830 patients (female: 77.3%; mean age: 73.4±9.8 years). The medians of the per-admission LOS and inpatient costs were 19 days and ¥18,587, respectively. Longer LOS and higher costs per admission were associated with older patients (≥70 years) compared to younger patients (<70 years). Hip fracture had the longest median LOS (22 days) and highest median cost (¥32,594) among all fracture sites. The per-hospitalization episode and per-day costs of osteoporotic fracture increased rapidly (60% and 89%, respectively) between 2008 and 2010. CONCLUSION: The analysis showed that hospitalization cost increases were associated with increasing per-day hospitalization costs. The proportion of the costs reimbursed by health insurances increased, while the mean absolute patient copayment amounts decreased. The incidence and prevalence of osteoporosis and osteoporosis-related fractures may rise rapidly due to the projected growth of the aged population in mainland China. Therefore, the combination of greater anticipated total fractures and rising hospital costs may lead to a tremendously increased economic burden in the future.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it