OBJECTIVES: Prior studies have shown the value of routine symptom monitoring and PRO assessments on oncology patient outcomes. This research aims to highlight the use of data collected via PRO-generated alerts system to characterize symptom burden and quality of life in real-world breast cancer population.

METHODS: Breast cancer patients enrolled in Carevive PROmPT®, a remote symptom monitoring platform, between 9/1/2020 and 11/29/2023 with evidence of therapy were included. When patients reported a symptom, an algorithm-based alert was generated if the combination of symptom severity, frequency, and interference was moderate or severe. The healthcare team was notified and documented the clinical action(s) taken to address the symptoms. Patient-reported quality of life and physical function data were visible to the care team upon alert generation. Patients were followed from baseline survey completion until their last completed survey. Results were explored by stage (early or late), biomarker (Her2+/HR+, Her2-/HR+ or TNBC), age, frailty (Frail, Intermediate, or Fit) and ECOG status (0, 1, or 2+).

RESULTS: A total of 646 patients were followed over a median 12.3 weeks. Median age was 56, 72% were white, and 23% were late stage. Over 19,425 symptoms were reported, generating 7,641 alerts. The top five symptoms that triggered the alerts were pain (26.4%), nausea/vomiting (11.4%), neuropathy (10.5%), fatigue (10%), and constipation (7.9%). In terms of average number of alerts per patient per week, no statistical difference was observed by stage, biomarker, or age. Frail and ECOG 2+ patients appeared to report more moderate/severe symptoms per week. Quality of life, physical function, and treatment bother were consistently worse for Frail patients.

CONCLUSIONS: Data collected from PRO-generated alerts system can be used to characterize symptom burden and quality of life in breast cancer. This is particularly valuable in patients with poor functional status who tend to have higher symptom burden.