Authors: Mei Yang*, Texas A&M University - Courpus Christi, Yuxia Huang, Texas A&M University - Corpus Christi
Topics: Medical and Health Geography
Keywords: Adult Preventable Conditions of Emergency Department Visits, Spatial Access, E2SFCA method, NYU Algorithm, Multivariable Regression Models
Session Type: Poster
Start / End Time: 3:05 PM / 4:45 PM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
The object of this study is to explore the associate effects of spatial access variables and neighborhood socioeconomic characteristics on potential preventable emergency department (PCED) visits rates for adults aged 18 to 64 years old in Coastal Bend area. The spatial access to general facilities and hospitals are calculated both by driving and by transit models.
The neighborhood socioeconomic characteristics were obtained from U.S. Census American Community Study 2010-2014 estimated data, includes Education, Employment, Hispanic, Insurance, Language and Poverty. The emergency department (ED) visits data were obtained from local hospital systems in 15 counties in the Coastal Bend Area from September 1, 2009 to August 31, 2015. The adult PCED visits were identified based on NYU Algorithm from ED visits data. The healthcare facilities data were obtained from InfoUSA, which is a residential and business database. The spatial access to hospitals and general facilities in zip code level were measured by enhanced two-step floating catchment area (E2SFCA) method. Multivariable regression models were used to estimate associations of PCED rates with spatial accessibility to healthcare facilities.
The main results of this study are: 1) For socioeconomic effects on PCEDs rate, there is a significant negative relationship between Poverty and PCEDs rate while a significant positive relationship between Education and PCEDs rate in Nueces county. 3) In all study area, Hispanic, Uninsured and Language have positive relationship with PCEDs rate. 4) For spatial accessibility effects on PCEDs rate, spatial access to healthcare facilities have negative association effect on PCEDs rate.