Variation in Resource Use and Readmission for Diabetic Ketoacidosis in Children’s Hospitals
Bibliographic record
Abstract
OBJECTIVE: We sought to characterize variation in hospital resource utilization and readmission for diabetic ketoacidosis (DKA) across US children's hospitals. METHODS: The study sample included a retrospective cohort of children aged 2 to 18 years with a diagnosis of DKA at 38 children's hospitals between 2004 and 2009. The main outcomes were resource utilization as determined by total standardized cost per hospitalization, overall and non-ICU length of stay (LOS), and readmission for DKA within 30 and 365 days. RESULTS: There were 24,890 DKA admissions, and 20.3% of these were readmissions within 1 year. The mean hospital-level total standardized cost was $7142 (range $4125-$11,916). The mean hospital-level LOS was 2.5 days (1.5-3.7), and the non-ICU portion was 1.9 days (0.7-2.7). The mean hospital-level readmission within 365 days was 18.7% (6.5%-41.1%) and within 30 days was 2.5% (0.0%-7.1%). Hospital bed days overall, and in particular the non-ICU portion, accounted for the majority of the total standardized cost per hospitalization (overall 57%; non-ICU 36%) and explained most of the variation in resource use. Even after adjusting for difference in patient characteristics across hospitals, widespread differences existed across hospitals in total standardized cost, LOS, and readmission rates (P < .001). CONCLUSIONS: Readmission for DKA within a year of hospitalization is common. US children's hospitals vary widely in resource use, hospital LOS, and readmission rates for patients with DKA. Our study highlights the need for additional research to understand these differences and to identify the most cost-effective strategies for managing diabetes across the continuum of care.
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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 | 0.000 | 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".