Recent Trends in Hospitalization for Diabetic Ketoacidosis in Ontario Children
Bibliographic record
Abstract
OBJECTIVE: To investigate trends and geographic variation in diabetic ketoacidosis (DKA) hospitalization rates among children in Ontario from 1991 to 1999. RESEARCH DESIGN AND METHODS: Canadian Institute for Health Information (CIHI) data were used to identify 15,872 diabetes-related hospital admissions in children younger than 19 years in Ontario from 1991 to 1999. Of these, 5,008 admissions were because of DKA and 10,864 admissions were because of conditions other than DKA (non-DKA). Small area variation analysis was used to compare areas with high versus low DKA admission rates. RESULTS: There was a 19% relative decrease in the overall diabetes admission rate over the study period. Non-DKA admissions decreased by 29%, whereas DKA admissions remained stable. Total days of care decreased by 393 days per year for non-DKA admissions and by 99 days per year for DKA admissions. The average length of hospital stay decreased from 4.9 to 3.5 days for non-DKA admissions and from 4.5 to 3.2 days for DKA admissions. The fatality rate was 0.19% for non-DKA admissions and 0.18% for DKA admissions. Variation across geographic areas remained stable for DKA over the study period (Kendall's correlation coefficient 0.64, P = 0.017) with an average 3.7-fold difference between the lowest and highest regions. CONCLUSIONS: Increased ambulatory care efforts for children with type 1 diabetes in Ontario have successfully reduced non-DKA admission rates. However, DKA admission rates have remained stable. Geographic variation for DKA admissions is low, but the observed 3.7-fold difference is clinically important for a preventable complication with a significant potential for long-term morbidity and mortality. Prevention strategies are needed, particularly in areas identified with the highest rates.
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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".