Analysis of the Effects of a Patient-Centered Rideshare Program on Missed Appointments and Timeliness for MRI Appointments at an Academic Medical Center

Published:August 10, 2020DOI:https://doi.org/10.1016/j.jacr.2020.05.037

      Abstract

      Purpose

      The aim of this study was to assess the differences in timeliness to MRI appointments and missed MRI appointment rates before and after the implementation of a rideshare program.

      Methods

      Retrospective analysis of a rideshare program was performed 9 months after implementation to compare the effects before and after implementation. Variables obtained included demographics, MRI appointment variables, and data related to rideshare use. Descriptive statistics and linear and logistic regression analyses were used to compare demographic characteristics among patients using the rideshare program with (1) those who did not use the rideshare program after implementation and (2) patients before rideshare implementation. Rates of missed appointments derived from patient-related, same-day appointment cancellations were analyzed using logistic regression analyses. Timeliness was analyzed using linear regression analyses. All analyses were adjusted for potential confounders.

      Results

      Of 7,707 patients scheduled for MRI appointments during the postintervention period, 151 patients used the rideshare service (1.95%). There were no statistically significant differences in missed appointment rates after rideshare implementation (adjusted odds ratio, 1.09; 95% confidence interval, 0.93-1.27; P = .275). Patients using the rideshare service were more likely to be on time (adjusted coefficient = 13.0; 95% confidence interval, 5.4-20.5; P = .001). Older patients (P = .001), unemployed patients (P < .001), and patients without commercial insurance (P < .001) were more likely to use the rideshare service.

      Conclusions

      Implementation of a rideshare program did not significantly decrease missed appointment rates, but it significantly improved timeliness to MRI appointments while assisting at-risk patient populations reporting transportation barriers.

      Visual abstract

      Key Words

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