157 Background: The use of digital health technology, including mobile applications, in the clinical setting is becoming increasingly more prevalent. Such technology is currently being explored as clinical research tools. While the side effects of prostate radiotherapy are well documented after treatment, there remains a paucity of data on patient-reported outcomes and changes in quality of life (QOL) during the treatment period. Therefore, mobile applications represent a practical platform to enable patient reporting in real-time during prostate radiotherapy. Methods: Using an existing open source code framework (Apple ResearchKit), we developed a novel mobile application that enables prostate cancer patients to report, either during or immediately following daily radiation treatment, changes in urinary, bowel, sexual, and hormonal QOL domains. The mobile application utilizes validated questions from the Expanded Prostate Index Composite for Clinical Practice (EPIC-CP) Survey, and allows for survey responses to be tracked over time throughout the treatment period and at routine follow up. Results: For the initial phase of our study, we are currently piloting the mobile application at a single institution with a goal of accruing 50 patients. Study results will be compared to data from traditional surveys, which are available at follow-up but impracticable for real-time symptom reporting. By ASCO 2016 Genitourinary Cancers Symposium, we plan to begin the second phase of our study where any patient can enroll online through a mobile software distribution platform (Apple App Store). Conclusions: We demonstrate the feasibility of using a mobile application to enable patients to report quality of life changes in real-time during prostate radiotherapy. Moreover, our application facilitates clinical trials where patient data collection can be automated and completed at scale. Future prospective studies are planned to evaluate validity of clinical trial data gathered through such methodology.
PMC29 PATIENT REPORTED OUTCOMES RESEARCH IN A REAL TIME PRACTICE NETWORK
