Wearable Activity Tracking to Curb Hospitalizations (WATCH)
University of California, San Francisco
Summary
This study is being done to collect patient generated health data to predict the risk of patients needing emergency department visits or hospitalization before, during. and after receiving radiation therapy.
Description
PRIMARY OBJECTIVE: I. Validate a previously developed step-count model for predicting all-cause acute care (pooled across all devices). SECONDARY OBJECTIVES: I. Validate a previously developed model for predicting each ED visits or hospitalizations during external beam RT using continuous step counts before, during, and after treatment. II. Validate the previously developed step-count model for predicting all-cause acute care for each of the two different device platforms. III. Validate concordance of step counts across each of the device's platforms in the Apple group. IV. Validate the…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * Age \>= 18. * Eastern Cooperative Oncology Group (ECOG) performance status =\< 2. * Able to understand study procedures and to comply with them for the entire length of the study. * Ability of individual or legal guardian/representative to understand a written informed consent document, and the willingness to sign it. * Diagnosis of invasive malignancy. * Able to ambulate independently (without the assistance of a cane or walker). * Planned treatment with fractionated external beam radiotherapy over at least 5 days (no fractional requirement). * Not a previous participan…
Interventions
- DeviceFitbit
Participants will wear Fitbit device
- DeviceApple HealthKit-based devices
Participants will wear personal device and share data with study team.
Location
- University of California, San FranciscoSan Francisco, California