Variation in management of community-acquired pneumonia requiring admission to Alberta, Canada hospitals
Bibliographic record
Abstract
Previous studies have shown small area variation in the rate of admission to hospital for patients with community-acquired pneumonia. We determined the rates of admission and length of stay for patients with community-acquired pneumonia in Alberta and the factors influencing admission rates and length of stay. Using hospital abstracts, hospital admissions for community-acquired pneumonia from 1 April 1994 to 31 March 1999 were compared. We classified Alberta hospitals according to geographical regions, by the number of beds, and by number of community-acquired pneumonia cases. There were 12,000 annual hospital discharges for community-acquired pneumonia costing over $40 million per year. The overall in-hospital mortality rate was 12% and the 1 year mortality rate was 26%. Compared with rural hospitals, regional and metropolitan hospitals admitted patients with greater severity of illness as demonstrated by greater in-hospital mortality, cost per case and comorbidity. Age-sex adjusted hospital discharge rates were significantly below the provincial average in both urban regions. Hospital discharge rates for residents in all rural regions and 4 of 5 regions with a regional hospital were significantly higher than the provincial average. After adjusting for comorbidity, the relative risk for a longer length of stay was 22% greater in regional hospitals and about 30% greater in urban hospitals compared to rural hospitals. Seasonal variation in the admission rate was evident, with higher rates in the winter of each year. We conclude that rural hospitals would be likely to benefit from a protocol to help with the admission decision and urban hospitals from a programme to reduce length of stay.
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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 | 0.001 |
| 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".