Comorbidities And Patient-Reported Outcomes Among Individuals With Cancer Enrolled In A Digital Health Coaching Program.

e19278 Background: Many individuals with cancer, as high as 90% in some studies, experience co-morbidities, which are associated with survival, quality of life and health care costs. Patient reported outcomes (PRO) have demonstrated efficacy in tracking outcomes for individuals with cancer and other chronic conditions. We present real world evidence of co-morbidities and PRO data from a cohort of individuals with cancer engaged in a digital health coaching program. Methods: A retrospective analysis was conducted of self-reported co-morbidity data and PROs collected from individuals with cancer upon enrollment in a digital health coaching program. Descriptive statistics define frequency of co-morbidities and means of PRO, including the Patient Reported Outcome Measures Information System-Global Health (PROMIS-GH)10, for individuals with cancer only compared with those who also had a co-morbid condition. Results: Of 570 individuals, 127 reported a co-morbid condition on enrollment into the coaching program (22%). Of these, 49.6% (n = 63) reported 1, and 50.4% (n = 64) reported 2 or more conditions, of which the most commonly reported were cardiovascular (45.6%), metabolic (39.3%), and immune-related (22.8%). Mean PRO scores at baseline are presented for each measure for individuals who reported either no or 1 or more co-morbid conditions at baseline (Table). Interestingly individuals with at least 1 comorbidity reported higher PRO scores for physical and mental health at baseline than those with cancer alone. Conclusions: Co-morbid conditions, while known to influence clinical outcomes among individuals with cancer, may also influence trends in PRO. Higher scores in this cohort may suggest that experience with a pre-existing condition may support the individual’s ability to cope with a cancer diagnosis and its physical and emotional sequelae. Digital health coaching may offer a unique non-clinical approach to gather this data and to support individuals to optimize self-efficacy, improving health outcomes beyond the clinical setting. [Table: see text]