The abstract is read at the publisher; the summary is JClub's.
Potentially avoidable emergency department visits for musculoskeletal conditions vary widely by algorithm, ranging from 7% to 36%, with fewer than 2% flagged by all three methods in the MIMIC-IV ED dataset.
- Why it matters: Different operational definitions for “potentially avoidable” ED use hinder accurate estimates and comparability across studies, especially when patient and visit characteristics depend on the identification rule.
- What they did: Using the publicly available Medical Information Mart for Intensive Care IV Emergency Department dataset, the study applied three algorithms: Diagnosis, Resources, and Triage Acuity, then compared proportions and visit characteristics.
- The result: The algorithm choice significantly changes both the proportion and characteristics of potentially avoidable visits, implying researchers must select definitions aligned to the specific visit types and patient groups of interest.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.