Can the emergency department algorithm detect changes in access to care?

Area of Science:

• Health Services Research
• Public Health Policy
• Healthcare Access

Background:

• The emergency department algorithm (EDA) is designed to categorize visits based on urgency and preventability.
• It aims to evaluate the medical safety net by identifying shifts in emergency department (ED) utilization patterns.
• Changes in healthcare access, such as those following the Oregon Health Plan (OHP) cutbacks, can impact ED use.

Purpose of the Study:

• To assess the utility of the EDA in detecting changes in ED use following the 2003 OHP cutbacks.
• To evaluate whether the EDA could identify shifts in the urgency and preventability of ED visits.

Main Methods:

• A comparative analysis of ED visits in Oregon during 2002 (pre-cutback) and 2004 (post-cutback).
• Comparison of mean probabilities assigned by the EDA to four visit categories for different payer groups.
• Exploration of alternative analytical strategies to enhance EDA sensitivity.

Main Results:

• The largest observed change in EDA-assigned probabilities was only 2%, indicating low sensitivity.
• Attempts to improve the EDA's sensitivity through advanced analytics were unsuccessful.
• Conversely, uninsured ED visits increased by 35%, and hospital admissions for uninsured patients rose by 51% post-cutback.

Conclusions:

• The EDA proved less effective than simpler metrics in demonstrating changes in healthcare access.
• Methodological limitations of the EDA may explain its reduced utility.
• Further refinement of the EDA methodology is recommended due to its adoption in health policy research.