Kara E MacLeod1, David R Ragland2, Thomas R Prohaska3, Matthew Lee Smith4, Cheryl Irmiter5, William A Satariano6. 1. Safe Transportation Research & Education Center, University of California, Berkeley. School of Public Health, University of California at Berkeley. kara.e.m@gmail.com. 2. Safe Transportation Research & Education Center, University of California, Berkeley. School of Public Health, University of California at Berkeley. 3. College of Health and Human Services, George Mason University, Fairfax, Virginia. 4. Department of Health Promotion and Behavior, The University of Georgia College of Public Health, Athens. Department of Health Promotion and Community Health Sciences, Texas A&M Health Science Center School of Rural Public Health, College Station, Texas. 5. Easter Seals, Business Innovation Solutions, Chicago, Illinois. 6. School of Public Health, University of California at Berkeley.
Abstract
PURPOSE OF THE STUDY: This study identified factors associated with canceling nonemergency medical transportation appointments among older adult Medicaid patients. DESIGN AND METHODS: Data from 125,913 trips for 2,913 Delaware clients were examined. Mediation analyses, as well as, multivariate logistic regressions were conducted. RESULTS: Over half of canceled trips were attributed to client reasons (e.g., no show, refusal). Client characteristics (e.g., race, sex, functional status) were associated with cancelations; however, these differed based on the cancelation reason. Regularly scheduled trips were less likely to be canceled. IMPLICATIONS: The evolving American health care system may increase service availability. Additional policies can improve service accessibility and overcome utilization barriers.
PURPOSE OF THE STUDY: This study identified factors associated with canceling nonemergency medical transportation appointments among older adult Medicaid patients. DESIGN AND METHODS: Data from 125,913 trips for 2,913 Delaware clients were examined. Mediation analyses, as well as, multivariate logistic regressions were conducted. RESULTS: Over half of canceled trips were attributed to client reasons (e.g., no show, refusal). Client characteristics (e.g., race, sex, functional status) were associated with cancelations; however, these differed based on the cancelation reason. Regularly scheduled trips were less likely to be canceled. IMPLICATIONS: The evolving American health care system may increase service availability. Additional policies can improve service accessibility and overcome utilization barriers.
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