Geospatial analysis of preventable emergency department visits in Chicago, IL

The use of hospital emergency departments (EDs) for conditions considered treatable in a primary care setting (PCED conditions) has become an increasingly prevalent health care inefficiency in the United States, leading to suboptimal primary care, significant ED overcrowding, and substantially increased costs to both payer and provider. Previous studies have attempted to untangle the various contributing factors to such misuse, including sociodemographic, health, and insurance status variables. While a few studies have integrated geographically-informed components into their analyses such as urban vs. rural distinction of hospital, no studies of misuse of EDs for PCED conditions were identified that utilized geographic information systems (GIS) to understand the locations of residents who are prone to this misuse as well to understand the contributions of spatially-derived health care accessibility indexes toward this misuse. Therefore, to determine the contribution of both spatial and non-spatial variables to PCED utilization, a multilevel logit regression was fit to over 750,000 ED diagnoses from four academic hospitals in Chicago. This research found strong geographic clustering of PCED utilization in the Chicago study area. Additionally, results showed that individual-level variables such as gender, race, ethnicity, insurance status, and age were associated with PCED utilization, as were area-level variables such as living in areas with low access to primary care clinics and areas of medical underservice. Overall, this research points to the importance of including geography alongside individual sociodemographic attributes into a multilevel study of PCED utilization and demonstrates the utility of using GIS to analyze clinical data for population health research in an urban setting.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Geography

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Fishman, Jamie Andrew

• Geographic Information System (GIS)
• health care geography

Statement dc:rights

• Copyright 2015 Jamie Fishman

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/78400

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/78400