Acute diabetes complications across transition from pediatric to adult care in Ontario and Newfoundland and Labrador: a population-based cohort study
Bibliographic record
Abstract
BACKGROUND: Transition to adult diabetes care is a high-risk period for acute complications, yet the optimal transition care model is unknown. To gain insight into the impact on health outcomes of system-level transition processes that reflect resourcing differences, we examined acute complications in youth with diabetes across transition in 2 Canadian provinces with different transition care models. METHODS: We used linked provincial health administrative data for Ontario and Newfoundland and Labrador to create 2 parallel cohorts of youth with diabetes diagnosed before age 15 years who turned 17 between 2006 and 2011. Participants were followed until 2015 (maximum age 21 yr). We described rates of and proportion of participants with at least 1 diabetes-related hospital admission at age 15-17 years and 18-20 years, standardized according to material deprivation based on the 2006 Canadian Marginalization Index. We compared diabetes-related admissions at age 15-17 years and 18-20 years in the Ontario cohort. RESULTS: The cohorts consisted of 2525 youth in Ontario and 93 in Newfoundland and Labrador. In Newfoundland and Labrador, 39 participants (42.0%) were in the lowest socioeconomic quintile, versus 326 (12.9%) in Ontario. The standardized rate of diabetes-related hospital admissions per 100 person-years was 13.5 (95% confidence interval [CI] 12.6-14.4) at age 15-17 years and 14.4 (95% CI 13.5-15.3) at age 18-20 years in Ontario, and 11.4 (95% CI 7.0-15.8) at age 15-17 years and 10.5 (95% CI 6.4-14.6) at age 18-20 years in Newfoundland and Labrador. In Ontario, there was no association between the rate (adjusted rate ratio 1.10, 95% CI 0.94-1.28) or occurrence (adjusted odds ratio 1.03, 95% CI 0.91-1.17) of diabetes-related admissions across transition. INTERPRETATION: Although posttransition care is delivered differently in the 2 provinces, rates of adverse events across transition were stable in both. Coordinated support during transition is needed to help mitigate adverse events for young adults in both provinces. Delivery of other health care and social services, including primary care, may be influencing the risk of adverse events after transition to adult care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".