Feasibility and Acceptability of the Remote Oncology Symptom Assessment Application

Participants (n=50) will be recruited from UPMC Hillman clinics.

If eligible patients consent to participate, they will complete online baseline, midpoint, and end of study questionnaires. Participant's medical records will be reviewed to extract demographic information and clinical covariates, including information about their cancer, its treatment, biological variables such as sex and age, clinical variables such as comorbidities, surgeries and hospitalizations, medications, and other markers of health care utilization (e.g., emergency department visits). Once extracted, these values will be linked only to their study ID number.

Following informed consent, participants will have the ROSA Android or iOS application installed on their smartphones that are capable of running the app (or will be talked through the installation of the app on their smartphone if conducting visit remotely). The application will securely store this information on the device and transmit this information to a secure cloud-based research server over secure network (WiFi or cellular) connection at least once per day. All data will be de-identified and will use only a study ID number linked to identifying participant information in a password protected file. The data captured for the research will not include any personally identifiable information. The data plan requirements of the application are not significantly different from what most smartphone users would require if they use their device to access the Internet for web searching.

At the initial visit (either in person or online, 20-30 minutes), participants will also be oriented to the ecological momentary assessment procedures to assess patient-reported symptoms. Participants will install the ROSA Android or iOS application on their smartphones. The unique non-identifying participant ID will be entered into the app upon initial log in and will be saved locally on the device. This code number will be attached to participant data so that the research team will be able to know which participant code number each survey response is associated with. Participants will be able to set the time of day for which they wish to receive notifications to complete the daily symptom ratings. When participants receive the survey notification, it will open up the study application and they can proceed to take the daily survey (approximately 5 minutes) via an anonymous Qualtrics survey link embedded in the app and opened in their smartphone's internet browser. Symptoms will be assessed using the PRO version of the Common Terminology for Adverse Events (PRO-CTCAE).

Participants will be asked to complete at least one rating per day and will report on symptoms over the last 24 hours. 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. Reports will be automatically generated and emailed each week displaying their summarized data and a list of all the individual data points that triggered alerts which they can then share with their care team, family members, etc. Weekly reports will include a link to an optional survey asking for feedback on how they've used the last week's report. In addition to the PRO-CTCAE questions in the daily survey, participants will also be asked to rate their overall quality of life for that day from 0 (worst possible) to 10 (best possible), about any cancer treatment they've received since the last survey, about any communication with their cancer care team since their last survey, and approximately how much time they spent each day on tasks related to cancer care.