Exploring the role of digital health coaching for men with prostate cancer.

TPS1586 Background: Toxicity leading to impaired quality of life is common among men receiving treatment for Prostate Cancer (PCa). Digital interventions may be beneficial in enhancing health self-efficacy in managing symptom burden. This study evaluates the feasibility and preliminary outcomes of digital health coaching intervention on men with PCa. Methods: This pilot study aims to recruit up to 100 adult, English-speaking men with PCa who in the last 2 years have required active treatment, defined as cancer management via active surveillance, surgery, radiation, androgen deprivation, chemotherapy, hormonal therapy, immunotherapy or a combination of these modalities. Men will be enrolled across the catchment area of Jefferson Health using social media and a variety of other outreach tools approved by the Institutional Review Board. Consented patients are enrolled in a 3-month digital health coaching program which combines weekly calls with up to 4 nudges of evidence-based content delivered via text or email weekly. The program focuses on a weekly health topic, such as physical, mental, social, or financial health, and managing symptoms, and empowers participants to set health goals of importance to them. Primary endpoints include feasibility, defined as 60% of participants completing the 3-month program. The main secondary endpoints measured are health self-efficacy as measured by the Cancer Behavior Inventory-Brief (CBI-B), quality of life, as measured by the Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP), financial toxicity as measured by the Comprehensive Score of Financial Toxicity (COST) and physical and mental health as measured by the Patient Reported Outcomes Measurement Information System-Global Health 10 (PROMIS-10). Outcomes are captured on enrollment and monthly through program completion for a total of 4 data points. Summary statistics will be used to describe patient demographic and clinical characteristics of the study population. Summary statistics will also be used to describe CBI, EPIC-CP, PROMIS and COST by assessment time. The change in CBI-B scores from baseline to 3 months will be calculated along with 95% confidence intervals. Additional LMMs will be created to assess the relationship between self-efficacy (CBI) and quality of life (EPIC-CP), financial toxicity (COST) and global health (PROMIS- SF10).