Development of an emergency department triage tool to predict admission or discharge for older adults.

ABSTRACT:

Background

Older adults present to Emergency Departments (ED) with complex conditions, requiring triage models that support effective disposition decisions. While existing models perform well in the general population, they often fall short for older patients. This study introduces a triage model aimed at improving early risk stratification and disposition planning in this population.

Methods

We analyzed the National Hospital Ambulatory Medical Care Survey data (2015-2019) for ED patients aged ≥ 60 years, excluding those who died in the ED or left against medical advice. Key predictors were identified using a two-step process combining LASSO and backward stepwise selection. Model performance was evaluated using AUC and calibration plots, while clinical utility was assessed t

SUBMITTER: Abugroun A 

PROVIDER: S-EPMC11827304 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature