Ambulatory follow‐up among publicly insured children discharged from the emergency department
Bibliographic record
Abstract
BACKGROUND: While children discharged from the emergency department (ED) are frequently advised to follow up with ambulatory care providers, the extent to which this occurs is unknown. We sought to characterize the proportion of publicly insured children who have an ambulatory visit following ED discharge, identify factors associated with ambulatory follow-up, and evaluate the association of ambulatory follow-up with subsequent hospital-based health care utilization. METHODS: We performed a cross-sectional study of pediatric (<18 years) encounters during 2019 included in the IBM Watson Medicaid MarketScan claims database from seven U.S. states. Our primary outcome was an ambulatory follow-up visit within 7 days of ED discharge. Secondary outcomes were 7-day ED return visits and hospitalizations. Logistic regression and Cox proportional hazards were used for multivariable modeling. RESULTS: We included 1,408,406 index ED encounters (median age 5 years, IQR 2-10 years), for which a 7-day ambulatory visit occurred in 280,602 (19.9%). Conditions with the highest proportion of 7-day ambulatory follow-up included seizures (36.4%); allergic, immunologic, and rheumatologic diseases (24.6%); other gastrointestinal diseases (24.5%); and fever (24.1%). Ambulatory follow-up was associated with younger age, Hispanic ethnicity, weekend ED discharge, ambulatory encounters prior to the ED visit, and diagnostic testing performed during the ED encounter. Ambulatory follow-up was inversely associated with Black race and ambulatory care-sensitive or complex chronic conditions. In Cox models, ambulatory follow-up was associated with a higher hazard ratio (HR) of subsequent ED return (HR range 1.32-1.65) visit and hospitalization (HR range 3.10-4.03). CONCLUSIONS: One-fifth of children discharged from the ED have an ambulatory visit within 7 days, which varied by patient characteristics and diagnoses. Children with ambulatory follow-up have a greater subsequent health care utilization, including subsequent ED visit and/or hospitalization. These findings identify the need to further research the role and costs associated with routine post-ED visit follow-up.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".