Mobile sensors in cancer care: Patient and provider perspectives and impact on patient-provider communication

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Mobile sensors in cancer care: Patient and provider perspectives and impact on patient-provider communication This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-23-041. The goal of the parent grant, R37CA242545, is to develop a system that uses smartphone and wearable sensors to passively monitor symptom burden during chemotherapy. The parent study aims to develop machine learning models predicting next-day symptoms using mobile sensor features as input, to integrate these predictions into a patient-facing web application, and to evaluate the feasibility and acceptability of using these predictions to trigger symptom self- management advice or patient-provider communication. The proposed administrative supplement will focus on understanding patient and provider preferences for integrating mobile sensor-based metrics and predictions into clinical care in ways that support patient-provider communication. We will conduct semi-structured and design interviews with patients (n = 20) and providers (n = 20) that are participating in the parent study, using purposive sampling to enroll both highly and less engaged participants. We will develop several mid-fidelity prototypes that (1) visualize patients’ own sensor data from the parent grant and (2) visualize and explain sensor-based predictions about next-day symptoms. Specific aims of this supplement are (1) to identify barriers, benefits, and preferences related to how mobile sensor tools and data could be used to support patient-provider communication during chemotherapy and how to best support patient and provider use of these digital tools and (2) to obtain patient and provider feedback on prototypes and visualizations. Findings from this supplemental study will be used to support patient and provider engagement with our mobile sensing system, to add new features supporting patient-provider communication, and to address potential barriers to future implementation. Results will also address a gap in the literature about how wearable and other passive sensors might impact patient-provider communication and will inform future work integrating mobile sensing into clinical cancer care.