SIGNAL:Identifying Behavioral Anomalies Using Smartphones to Improve Cancer Care
Last updated on July 2021Recruitment
- Recruitment Status
- Not yet recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Cervical Cancer
- Fallopian Tube Cancer
- Gynecologic Cancer
- Ovarian Cancer
- Primary Peritoneal Carcinoma
- Uterine Cancer
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: N/AIntervention Model: Single Group AssignmentMasking: None (Open Label)Primary Purpose: Supportive Care
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Only males
Description
This is a pilot study of patients with advanced gynecologic cancers and oncology providers from the Dana-Farber Cancer Institute's Gynecologic Oncology Program to explore the feasibility and acceptability of a smartphone-based real-time behavioral anomaly detection system (SIGNAL). The research stud...
This is a pilot study of patients with advanced gynecologic cancers and oncology providers from the Dana-Farber Cancer Institute's Gynecologic Oncology Program to explore the feasibility and acceptability of a smartphone-based real-time behavioral anomaly detection system (SIGNAL). The research study procedures include screening for eligibility and study interventions including smartphone data collection, surveys, and a brief interview once you have completed the study to learn more about your experiences on the study. Participants will download the adapted Beiwe app for a 6-month period and the investigators will collect passive smartphone sensor data and active PRO data bi-weekly.
Tracking Information
- NCT #
- NCT04368130
- Collaborators
- National Institute of Nursing Research (NINR)
- Investigators
- Principal Investigator: Alexi A. Wright, MD Dana-Farber Cancer Institute
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