Pediatric Emergency Department Return Visits
Bibliographic record
Abstract
OBJECTIVES: Emergency department (ED) return visits (RVs) leading to hospital admission are a quality measure that can potentially signal gaps in patient care. Systematic capture and investigation of RVs at a case level can provide an understanding of patient- and visit-level factors associated with RVs, and thus inform system-level quality improvement (QI) opportunities. Our objective is to describe the development of a database that enables tracking and analyzing of all pediatric ED RVs, to understand recurring themes and inform QI initiatives. METHODS: A single-center retrospective cohort study was conducted at a quaternary care children's hospital during a 3-year period (December 2013 to November 2016). All 72-hour RVs were audited for patient- and visit-level variables and clinicians completed root-cause analyses of their RVs. Using descriptive statistics, variables associated with RVs and system-level quality themes were identified. RESULTS: Of 214,047 ED patient visits, 1546 (0.7%) patients returned within 72 hours and were admitted. The RV patients had higher acuity scores on both visits compared with all ED visits, and the RV group had a higher proportion of children younger than 12 months than the overall ED visit group (25.0% vs 16.2%). The underlying cause for the majority of RVs was determined to be natural disease progression (63%), whereas 9% were callbacks for positive blood cultures or discrepant radiology results, and 6% were categorized as misdiagnoses. Several successful QI initiatives were completed as a result of the program. CONCLUSIONS: Systematic monitoring and investigation of all ED RVs provides an innovative and effective approach to seeking provider- and system-level improvement opportunities.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".