Resolving transportation disparity in cancer care.

Abstract

96 Background: Improving healthcare value requires new models of care including higher utilization of outpatient services. A significant social determinant of health in this mode of care is transportation, and the most vulnerable segments of society are disproportionately affected. Transportation disparity is especially troubling in radiation oncology, due to the protracted daily treatment schedule. Disruptions in treatment adversely impact clinical outcomes and survivals. This study is a pilot trial of a novel virtual logistics hub, capable of managing rideshare, taxis, wheelchair accessible vehicles, vehicles with car seats for children and stretcher vehicles in radiation oncology to measure utilization, patient satisfaction and financial impact. Methods: Over 4 months, using predictive analytics, patients with transportation barriers in a community cancer center were enrolled in a rideshare program. Those who received rides for radiation treatment were included in this study. Each patient's personal historic no-show rate in the health system was recorded. The estimated cost per no-show for a radiation treatment was set at $250. The opportunity cost was calculated as the product of the no-show rate, the no-show cost per treatment and the number of treatments. In addition, the cost of the transportation was recorded and subtracted from the opportunity cost to calculate the return on investment ROI. Qualitative data were also collected through patient surveys after each ride. Results: 29 subjects were included in this IRB-approved pilot study for a total of 419 rides. The most common diagnoses were Breast (27.6%), Lung (17.2%) and Prostate (17.2%). Most patients were racial minorities (70.0%) and had non-metastatic disease (75.9%). The median number of radiation treatments was 10 (3-40). The historic average no-show rate was 7% (0%-36%). The average expected no show cost per patient was $219.14 ($0.00-$1,837.50). The opportunity cost representing the benefit to the health system was $6,355.00. Per patient, the average transportation cost was $325.81 ($13.26-$1,034.39). The total cost of rides was $11,864.77. The ROI was -$5,509.77. When asked 'How would you rate your transportation experience today?' 82% responded Above Average. To the question 'Would you have been able to attend your appointment today if this program did not exist?' 92% answered No. Conclusions: This study shows that the cost of rideshare transportation can partially offset the cost of no-shows. This suggests that a proactive virtual transportation hub can help address transportation barriers, drive patient satisfaction and reduce the waste of no-shows. Radiation therapy represents an ambulatory medicine crucible for patients with limited transportation and social support. Scaling up rideshare innovations from radiation oncology has the potential to drive broader ambulatory strategy.