Multidisciplinary coordination of care for children with esophageal atresia and tracheoesophageal fistula
Bibliographic record
Abstract
Esophageal Atresia/Tracheoesophageal Atresia (EA/TEF) is a multisystem congenital anomaly. Historically, children with EA/TEF lack coordinated care. A multidisciplinary clinic was established in 2005 to provide coordinated care and improve access to outpatient care. This single-center retrospective cohort study was conducted to describe our cohort of patients with EA/TEF born between March 2005 and March 2011, assess coordination of care, and to compare outcomes of children in the multidisciplinary clinic to the previous cohort without a multi-disciplinary clinic. A chart review identified demographics, hospitalizations, emergency visits, clinic visits, and coordination of outpatient care. Twenty-seven patients were included; 75.9% had a C-type EA/TEF. Clinics provided multidisciplinary care and compliance with the visit schedule was high with a median of 100% (IQR 50). Compared to the earlier cohort, the new cohort ( N = 27) had fewer hospital admissions and LOS was reduced significantly in the first 2 years of life. Multidisciplinary care clinics for medically complex children can improve coordination of visits with multiple health care providers and may contribute to reduced use of acute care services.
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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 | 0.000 |
| 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".