Supportive care plans: Harnessing technology and patient-reported outcomes to drive quality care across the cancer continuum.
167 Background: Cancer care is increasingly complex. Clinicians lack time to stay current on evolving evidence and resources to implement quality standards. Health information technology solutions have proliferated, including electronic patient-reported outcome (ePRO) and care pathway technologies, but adoption has been slow. The goal of this study is to explore feasibility, usability, and acceptability of incorporating a novel supportive care planning technology into clinic workflow. The On Q Care Planning System (CPS) collects ePRO and clinical data to generate a personalized supportive care plan aligned with quality care standards and current evidence. Plans promote self-management and patient-provider communication. Methods: Prospective, multi-center pilot study at 2 NCI-affiliated centers (a comprehensive community cancer program [NCCCP] in the Western U.S., and a NCI-designated comprehensive cancer center [NCCC] in the Southeastern U.S.). 100 patients and their providers will participate; 50 women with gynecological cancers on chemotherapy; 50 women post-active treatment for breast cancer. Patients complete an ePRO assessment and are given an electronically generated, personalized supportive care plan by their providers during office visit(s) over a 3-month period. Study outcomes evaluated at baseline and 6 weeks include feasibility/usability of the platform (patient/provider, post-test only; surveys/platform statistics), patient satisfaction with care (pre/post-test; CG-CAHPS), and adherence to care plan recommendations (post-test survey). Results: To date, 10 patients have enrolled at the NCCCP and 7 completed baseline and 6 week measures; 5 at the NCCC have completed baseline measures. Four providers each at the NCCCP and the NCCC are scheduled for post-test assessments. Updated enrollment and results will be presented at the meeting. Conclusions: The On Q CPS is a novel supportive care planning technology developed to improve care processes and patient outcomes through the delivery of personalized electronic care plans. Feasibility, usability, acceptability, satisfaction and exploratory outcome data will be presented.