Economic burden of knee and hip osteoarthritis in spain
Bibliographic record
Abstract
OBJECTIVE: To estimate the direct and indirect osteoarthritis (OA)-attributable costs and predictors of costs of knee and hip OA in Spain. METHODS: This study included consecutive patients age > or = 50 years with symptomatic and radiologic knee and/or hip OA who were seen at primary care centers in all provinces of Spain. Information on demographics, health status (Short Form 12 Health Survey), comorbidities (Charlson Index), clinical (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]) and radiologic OA severity (Kellgren/Lawrence [K/L] scale), data related to OA health resources utilization (medical and nonmedical), and subjects' and caregivers' expenses and time lost in the previous 6 months were collected in 2 separate, structured, and detailed interviews. Costs in euros were assigned using market prices and official sources if available, and were annualized (to 2007). The predictors of costs were assessed in multivariate regression models. Costs were log-transformed before being modeled. RESULTS: A total of 1,071 subjects were analyzed (74% women, mean +/- SD age 71 +/- 9 years). Average total annual costs were euro1,502 per patient. Direct costs accounted for 86% of the total cost. We estimated a national cost of euro4,738 million, representing 0.5% of the gross national product. Higher total costs were associated with comorbidity (Charlson Index odds ratio [OR] 1.27, 95% confidence interval [95% CI] 1.03-1.58), poorer health status (P < 0.050), worse WOMAC scores (OR 1.05, 95% CI 1.03-1.08), and grade 4 K/L scores (OR 1.76, 95% CI 1.15-2.69). CONCLUSION: The economic burden of knee and hip OA is substantial. Costs increased with comorbidity, poorer health status, and clinical and radiologic OA severity.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".