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Determining a Consensus-Based Measure for Critical Illness and Injury for Children Cared for By Emergency Medical
Sriram Ramgopal1,2, Ashley Hayes2, Leonardo Barrera2
1Division of Emergency Medicine.
Researchers defined hospital-based critical illness criteria for accurate patient triage. This measure supports developing emergency medical services (EMS) models for critical care outcomes in children.
Area of Science:
- Emergency Medicine
- Critical Care
- Health Services Research
Background:
- Accurate triage of critically ill or injured patients from the field or community emergency departments (EDs) is crucial for effective emergency, disaster, and surge response.
- Developing standardized, hospital-based outcome measures is essential for improving prehospital emergency medical services (EMS) models.
Purpose of the Study:
- To define a consensus-based, hospital-based measure of critical illness and/or injury.
- To support the development of EMS-based models for predicting critical outcomes in patients, particularly children.
Main Methods:
- Convened a 22-member Delphi panel of diverse clinical specialists (pediatrics, emergency medicine, surgery, trauma, prehospital medicine, EMS).
- Utilized a modified Delphi process with sequential voting rounds to establish consensus on diagnostic, intervention, and clinical outcome criteria.
- Achieved high participation rates (95-100%) across four voting rounds.
Main Results:
- Achieved consensus on 50 specific measures, encompassing medical diagnoses (8), trauma diagnoses (14), trauma mechanisms (1), assessments (6), interventions (13), medications (6), and dispositions (2).
- A final consensus of 82% was reached on the defined criteria.
- The study successfully identified key indicators for critical illness and/or injury in a hospital setting.
Conclusions:
- Consensus was reached on operational, hospital-based outcome criteria for critical illness and/or injury.
- This framework facilitates future benchmarking of EMS performance and precise identification of at-risk children in prehospital settings.
- Next steps involve assessing criterion prevalence in various hospital settings and developing prediction models for prehospital factors.
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