Health Care Supply for Cataract in Austrian Public and Private Hospitals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: This study aims to explain spatial variability or cataract and cataract surgery in Austria. The effect of the availability of health care services on spatial variation is investigated. METHODS: A retrospective study, using routine hospital data from all Austrian public and private hospitals. Calculation of age- and gender-standardized hospitalization ratios (SHR) for all 121 Austrian districts. Poisson regression for age-specific relative risks was performed. RESULTS: The authors found high regional variability between districts and significant differences in the hospitalization rates of cataract disease and extraction between men and women. There was a significant correlation between standardized hospitalization ratios for districts and the availability of hospitals with departments of ophthalmology. There was a significant difference in length of stay for patients with cataract surgery between public and private hospitals. CONCLUSIONS: Use of routine hospital data in geographic analysis allows large regional studies on health care supply for cataract surgery. Differences in the supply by hospitals between districts depend on the availability of hospitals with departments of ophthalmology. The overall demand for cataract surgery in Austria finds its proper supply in many Austrian regions, but needs further development.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it