Feasibility and Acceptability of the Remote Oncology Symptom Assessment Application
University of Pittsburgh
50 participants
Feb 2, 2026
INTERVENTIONAL
Conditions
Summary
The goal of this study is to determine whether a mobile application that combines real-time sensor data and patient-reported symptoms to trigger care-team contact recommendations is feasible and beneficial for patients receiving chemotherapy. The main questions it aims to answer are: * Is the mobile application feasible and acceptable to patients? * Do the alerts and guidance improve symptom management, quality of life, and engagement with the care team during treatment? Participants will: * Complete a demographic questionnaire at the beginning of the study and quality-of-life and health questionnaires at the beginning, midpoint, and end of study. * Complete daily symptom ratings. * Wear a Fitbit activity tracker for 90 days. * At the end of the study, complete a semi-structured interview to provide feedback on the study. * Optional: At the beginning and end of the study, complete an in-person physical function assessment measuring balance (Short Physical Performance Battery).
Eligibility
Inclusion Criteria5
- Receiving chemotherapy at the UPMC Hillman Cancer Center for any solid tumor cancer at any stage with at least two cycles remaining;
- age 18 years or older;
- ability to read and write in English;
- sufficient performance status to participate in research (e.g., Karnofsky performance status of 60-100%); and
- owns and uses an Android smartphone or an iPhone capable of running the study apps.
Exclusion Criteria2
- under 18 years old; and
- unable to read and write in English
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Interventions
Responses range from 0-4; any grade 1 response (reflecting mild symptoms) will trigger a recommendation to view symptom management/education tips available in a self-care library in the app, and any grade 2-4 response (reflecting moderate to severe symptoms) will trigger a recommendation that the participant may want to contact their provider about the potentially concerning symptom. Fitbit data points outside of prespecified thresholds based on physiological norms (for skin temperature and pulse oxygenation) or each participants' historic average (heart rate and activity) will trigger a recommendation that the participant may want to contact their provider about the potentially concerning data point. Reports will be generated and emailed to participants each week displaying summaries/graphs of recent alerts triggered, symptom ratings, and Fitbit data.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT07218874