Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated With Survival
Authors' conclusion
ED pediatric readiness components related to specific policies, personnel, and equipment were the strongest predictors of pediatric survival and worked synergistically when combined.
Study context
- Population
- Injured children below 18 years treated in US trauma centers, 2012–2017, matched to the 2013 National emergency department (ED) Pediatric Readiness Assessment and AHA survey
- Participants
- 274,756 participants · 458 trauma centers
- Exposure
- ED pediatric readiness components as predictors of in-hospital survival
- Outcome
- In-hospital survival
Methodological detailsmachine learning
- Machine learning
Main finding
As reported in the abstract
Change in survival by ED pediatric readiness component
- Policy for mental health care
- +8.8%
- Policy for patient assessment
- +7.5%
- Specific respiratory equipment
- +7.2%
- Policy for reduced-dose radiation imaging
- +7.0%
- Physician competency evaluations
- +4.9%
- Recording weight in kilograms
- +3.2%
- Life support courses for nursing
- +1.0%-2.5%
- Policy on pediatric triage
- +2.5%
- Improvement in survival when the 5 highest impact components present
- 268%
Observational data: associations, not effects.
Further findings
In-hospital death
- Children who died
- 4585 (1.7%)
Original publication
Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated With Survival. Ann Surg. Published 1 November 2022. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →