Total Hip Arthroplasty in Chile Is Characterized By Low Utilization Rates and Disparity in Access
Bibliographic record
Abstract
Background: Disparity in access to total hip arthroplasty (THA) is an internationally recognized phenomenon influenced by social and geographical factors. The Organisation for Economic Co-operation and Development (OECD) employs the utilization rates of THA to evaluate and compare healthcare utilization by its 37 country members, including Chile. Purpose: We sought to describe THA utilization rates in the elderly Chilean population and to compare it with data from other OECD countries. In addition, we sought to identify whether sociodemographic variables influence access to THA in Chile. Methods: We conducted a retrospective review of THA cases performed in Chile between 2016 and 2018 in patients aged 65 years and older in a large database regulated by the Ministry of Health; 8970 patients were included. Mean utilization rates (MURs) of THA within Chile’s 346 administrative-territorial divisions (called communes) were calculated. We analyzed associations between the communal MUR and poverty, rurality, insurance type, and geographical health administration dependency. Results: The national MUR of THA in the elderly population in Chile was 144/100,000 for the period studied. The median communal MUR was 107 (interquartile range [IQR]: 66–153). A lower MUR of THA was observed in communes with higher poverty levels, higher rurality, and a lower rates of private insurance. After negative binomial regression analysis, only rurality rate and geographical healthcare service dependency were associated with MUR. Conclusions: This retrospective database study suggests that the utilization of THA in Chile is unequal and well below the average of other OECD countries. Higher rates of rurality and administrative healthcare dependence (a geographical/administrative factor) were associated with disparities in access to THA within Chile.
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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 | 0.015 | 0.003 |
| 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 | 0.002 |
| 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 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".