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Purpose: The feasibility of using physical activity monitors (PAMs) to measure functional status in patients with cancer is unclear. We aimed to determine the feasibility of using PAMs to longitudinally assess physical activity and performance status (PS) in patients with cancer. Methods: Patients with cancer who had Eastern Cooperative Oncology Group (ECOG) PS of 0 to 2 and were receiving systemic therapy were enrolled in a prospective pilot trial of PAM use. Feasibility was defined as patients using the PAM for > 50% of the observation period. We correlated PAM-reported measures with scores from ECOG PS and quality-of-life tools (Functional Assessment of Cancer Therapy–General [FACT-G], Quick Inventory of Depressive Symptoms–Self-Rated 16 [QIDS-SR16], and Brief Fatigue Inventory [BFI]) using Pearson’s correlation test. Patients were surveyed regarding their experience with PAMs at study completion. Results: In all, 24 patients were enrolled; mean age was 54 years, 16 (67%) were women, and 19 (79%) were white. Twenty-three patients (96%) met the primary end point of feasibility. The median duration of follow-up was 69 days. Mean PAM-measured steps for ECOG PS of 0, 1, and 2 were 5,911, 1,890, and 845 steps per day, respectively (P =.002). Minimum steps per day correlated with BFI (r = –0.53; P <.01), FACT-G (r = 0.45; P =.02), and QIDS-SR16 (r = –0.57; P <.01). Eighteen patients (75%) reported a positive experience with the PAM. Conclusion: PAMs are a feasible tool for measuring long-term physical activity in patients with cancer who are receiving systemic therapy. PAM-derived measures correlated with clinician-assessed PS. [ABSTRACT FROM AUTHOR]

Commercially available physical activity monitors provide clinicians an opportunity to obtain oncology patient health measures to an unprecedented degree. These devices can provide objective and quantifiable measures of physical activity, which are not subject to errors or bias of self-reporting or shorter duration of formal testing. Prior workon so-called quantified-self data was based on older-generation, research-grade accelerometers, which laid the foundation for consumer-based physical activity monitoring devices to be validated as a feasible and reliable tool in patients with cancer. Physical activity monitors are being used in chronic conditions including chronic obstructive pulmonary disease, congestive heart failure, diabetes mellitus, and obesity. Differing demographics, compounded with higher symptom and treatment burdens in patients with cancer, imply that additional work is needed to understand the unique strengths and weaknesses of physical activity monitors in this population. Oncology programs can systematically implement these tools into their workflows in an adaptable and iterative manner. Translating large amounts of data collected from an individual physical activity monitoring device into clinically relevant information requires sophisticated data compilation and reduction. In this article, we summarize the characteristics of older-and newer-generation physical activity monitors, review the validation of physical activity monitors with respect to health-related quality-of-life assessments, and describe the current role of these devices for the practicing oncologist. We also highlight the challenges and next steps needed for physical activity monitors to provide relevant information that can change the current state of oncology practice. [ABSTRACT FROM AUTHOR]