Exploring the Relationship Between Household Income and Healthcare Travel Patterns

IntroductionTransportation is a social determinant of health which affects how easily individuals attend clinic appointments, obtain medications, or seek emergency care. Despite the importance of transportation, there are few large-scale studies characterizing typical transportation behaviors related to seeking healthcare. This study investigates demographic differences in travel times and transportation mode for healthcare/medical related trips using the National Household Travel Survey (NHTS) dataset and identifies potential access inequities. MethodsMedical trip data was obtained from the 2017 NHTS dataset. All analysis was adjusted by survey weights. Multiple linear regression models were developed to investigate the relationships between demographic variables, transportation mode, and travel time. Additionally, a logistic regression model was used to investigate the relationship between demographics and transportation mode. ResultsMedical trips using public transportation were found to be significantly longer relative to personal automobile trips. Higher household income was found to be associated with shorter travel times, but the effect size decreased with the inclusion of transportation mode. Higher household income respondents were also likely to use public transportation. Respondent race was not significantly associated with any differences in travel times, but there were significant differences across races in public transportation use. ConclusionsThis study demonstrates that individuals with lower household incomes tended to have longer medical trips. Additionally, it identifies public transit to be a potential mediating factor for this difference, as lower-income residents were significantly more likely to use public transit. This analysis highlights the importance of maintaining accessible and efficient public transportation for access to healthcare, especially for populations which have traditionally been at-risk for health disparities.