The impact of transition of Spina Bifida Care: A retrospective population-based cohort study comparing outcomes and health care costs longitudinally from adolescence into adulthood
Bibliographic record
Abstract
Introduction: Transition from multidisciplinary paediatric to adult care results in a significant change in the intensity of care provided to patients with spina bifida (SB). Objective: To compare planned and unplanned health care utilization and costs of care of transitioning SB patients. Study Design: Through a retrospective population-based cohort study, patients with SB born in Ontario between 1988 and 1999 were studied using routinely collected data analysed at ICES. Patients were followed longitudinally from age 16 to 22 years with comparisons made between the paediatric baseline year (age 16) to the first 3 years of adulthood (ages 19 to 21). A composite primary outcome of unplanned emergency room (ER) visits, hospitalizations and emergency surgical procedures, was compared before and after transition. Secondary outcomes included these variables individually and estimated health care costs. Results: In the 299 patients, no significant differences were identified in the composite primary outcome between periods (P = 0.09). Unplanned ER visits (P = 0.004) and emergency surgical procedures (P = 0.02) increased after transition. Despite this, the estimated individual total cost of care declined after transition (P = 0.03). Further, multivariable analysis identified rural residence (RR 1.78, confidence interval [CI] 1.30 to 2.44) and previous urologic surgery (RR 1.91, CI 1.41 to 2.57) as significant predictors of increased need for emergent care and health care costs, respectively. Conclusion: Patients with SB in Ontario have higher rates of ER usage and unplanned surgery after the transition to adult care. While this does not drive an increase in health care costs, improvements in the care of transitioned SB patients, particularly rural patients and those with prior urologic surgery, may decrease the requirement for acute 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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Open science | 0.001 | 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".