Unknown

Dataset Information

Quality Through Coopetition: An Empiric Approach to Measure Population Outcomes for Emergency Care-Sensitive Conditions.


ABSTRACT:

Study objective

We develop a novel approach for measuring regional outcomes for emergency care-sensitive conditions.

Methods

We used statewide inpatient hospital discharge data from the Pennsylvania Healthcare Cost Containment Council. This cross-sectional, retrospective, population-based analysis used International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes to identify admissions for emergency care-sensitive conditions (ischemic stroke, ST-segment elevation myocardial infarction, out-of-hospital cardiac arrest, severe sepsis, and trauma). We analyzed the origin and destination patterns of patients, grouped hospitals with a hierarchical cluster analysis, and defined boundary shapefiles for emergency care service regions.

Results

SUBMITTER: Carr BG 

PROVIDER: S-EPMC10211477 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature