Healthcare utilization during transition to adult care in patients with spina bifida
Bibliographic record
Abstract
INTRODUCTION: Individuals with spina bifida (SB) may experience negative health outcomes because of an informal transition from pediatric to adult care that results in using the emergency room (ER ) for non-acute health problems. METHODS: We conducted a retrospective, population-based cohort study of all people with SB in Ontario, Canada turning 18 years old between 2002 and 2011. These patients were followed for five years before and after age 18. Primary outcome was the annual rate of ER visits. Secondary outcomes included rates of hospitalization, surgery, primary care, and specialist outpatient care. We estimated the association between age and primary and secondary outcomes using negative binomial growth curve models, adjusting for patient-level baseline covariates. RESULTS: Among the 1215 individuals with SB, there was no trend of ER visits seen with increasing age (relative risk [RR ] 0.99, 95% confidence interval [CI] 0.98-1.02); however, there was a significant increase in the rate of ER visits associated with turning 18 years (RR 1.14, 95% CI 1.03-1.27). Turning 18 years old was also associated with a decreased rate of hospital admissions (RR 0.79, 95% CI 0.66-0.95) and no change in surgeries (RR 0.80, 95% CI 0.64-1.02). Visits to primary care physicians remained stable over the same period (RR 0.96, 95% CI 0.90-1.01), while visits to SB-focused specialists decreased after age 18 (RR 0.81, 95% CI 0.75-0.87). CONCLUSIONS: In patients with SB, the rate of ER visits increased significantly at 18 years old, while hospital admissions and specialist physician visits decreased at the same time. Models of transitional care can aim to reduce non-urgent ER visits and facilitate regular specialist 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".