Socioeconomic and Demographic Factors Effect in Association with Driver’s Medical Services after Crashes

Shraddha Sagar, Nikiforos Stamatiadis, Rachel Codden, Marco Benedetti, Larry Cook and Motao Zhu
Additional contact information
Shraddha Sagar: University of Florida Transportation Institute, University of Florida, Gainesville, FL 32611, USA
Nikiforos Stamatiadis: Department of Civil Engineering, University of Kentucky, Lexington, KY 40506, USA
Rachel Codden: School of Medicine, University of Utah, Salt Lake City, UT 84112, USA
Marco Benedetti: Center for Injury Research & Policy, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43215, USA
Larry Cook: Department of Pediatrics, University of Utah, Salt Lake City, UT 84112, USA
Motao Zhu: Center for Injury Research & Policy, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43215, USA

IJERPH, 2022, vol. 19, issue 15, 1-10

Abstract: Motor vehicle crashes are the third leading cause of preventable-injury deaths in the United States. Previous research has found links between the socioeconomic characteristics of driver residence zip codes and crash frequencies. The objective of the study is to extend earlier work by investigating whether the socioeconomic characteristics of a driver’s residence zip code influence their likelihood of resulting in post-crash medical services. Data were drawn from General Use Model (GUM) data for police crash reports linked to hospital records in Kentucky, Utah, and Ohio. Zip-code-level socioeconomic data from the American Community Survey were also incorporated into analyses. Logistic regression models were developed for each state and showed that the socioeconomic variables such as educational attainment, median housing value, gender, and age have p -values < 0.001 when tested against the odds of seeking post-crash medical services. Models for Kentucky and Utah also include the employment-to-population ratio. The results show that in addition to age and gender, educational attainment, median housing value and rurality percentage at the zip code level are associated with the likelihood of a driver seeking follow-up medical services after a crash. It is concluded that drivers from areas with lower household income and lower educational attainment are more likely to seek post-crash medical services, primarily in emergency departments. Female drivers are also more likely to seek post-crash medical services.

Keywords: general use model; highway safety; socioeconomic factors; logistic regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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