Using Implementation Science to Adapt a Targeted Transportation Intervention for Patients With Diabetic Retinopathy (PRONTO-EYE)

Vision loss is a public health issue that can limit every aspect of an individual's daily life, including communication, education, independence, mobility, and career goals. Diabetes is the leading cause of new cases of blindness in adults aged 18-64 years, with 1 in 8 adults with diabetes reporting severe visual difficulty or blindness in 2019. Though early detection and treatment can prevent visual impairment by as much as 90%, it is estimated that diabetic retinopathy (DR) is prevalent in 28.5-40.3% of the 37.3 million adults with diabetes in the U.S. Because enhanced treatment options are available, prompt diagnosis and referral can improve visual outcomes and reduce complications, making adherence to visits critical. While DR treatment options have been shown to reduce complications and improve visual outcomes, barriers to eye care disproportionately affect under-resourced communities, resulting in underutilization of eye care services, delays in treatment, and poorer eye health outcomes.This research addresses a critical gap in our knowledge of how to identify patients with known DR and Medicaid insurance and provide a transportation intervention to get such individuals to needed eye care. Using human-centered design methods, including qualitative interviews and workshops, journey mapping, and prototyping, investigators co-designed a rideshare intervention, PRONTO-EYE, to improve adherence to eye care visits in Medicaid patients with diabetic retinopathy. Upon completion of user testing, the service blueprint will be updated to meet key design criteria, including viability, feasibility, and desirability. Investigators plan to conduct a type 3 hybrid effectiveness-implementation pilot study using a pre-post intervention design to evaluate the PRONTO-EYE intervention in Medicaid patients with diabetic retinopathy. Investigators will assess our primary outcome, adherence (defined as completing a scheduled ophthalmology visit), and secondary implementation outcomes, informed by the Proctor model, including acceptability, adoption, appropriateness, feasibility, fidelity, and penetration, through EHR data, surveys, and interviews. Our working hypothesis is that PRONTO-EYE will be successfully integrated into clinical workflows and increase adherence to visits compared to historical controls.