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Brief Title: Real-Time Monitoring of Symptoms in Lung Cancer Patients Receiving Oral Targeted Therapies
Official Title: Real-Time Monitoring and Modeling of Symptoms and Adverse Events in Lung Cancer Patients Receiving Oral Targeted Therapies for Tumors With Actionable Mutations
Study ID: NCT05370469
Brief Summary: In this study, patients who are taking oral tyrosine kinase inhibitor (TKI) therapy for lung cancer will be asked to participate in a remote monitoring system for up to 24 weeks. The system will include: * a smartphone application (app) developed at the University of Virginia called Sensus. Sensus will be downloaded to the participant's smartphone. The app will collect active data (such as through surveys) and passive data (such as accelerometer data). * a fitness watch called a Fitbit will be given to the participant to be used during the study. The Fitbit will collect information such as steps and average heart rate. * a smart pill cap called RX Cap will be given to the participant to be used during the study. The pill cap will collect information about how often a pill bottle is opened. The study will also involve paper surveys that are taken by the participant during clinic visits. Symptoms related to TKI therapy will be recorded by an investigator in the clinic. The study results will be used to guide development of a real-time symptom monitoring system, with the ultimate goal of improving TKI symptom response and quality of life.
Detailed Description: This is a prospective pilot study for adult patients with lung cancer who have tumors harboring an actionable mutation and who are undergoing treatment with oral tyrosine kinase inhibitors (TKIs). The choice and dose of TKI will be at the discretion of the treating medical oncologist. The study will assess symptoms and adverse events using a remote monitoring system that uses brief self-report surveys and passive input from smart devices as well as clinical assessment of adverse events and quality of life during routine office visits. An application loaded onto a smart phone (Sensus) and a fitness tracking device (Fitbit Sense) will capture information about symptoms and adverse events. This information will be captured through surveys and from passive input from the smart devices. Surveys will also be used to capture the subjects' experience with the devices. The results of this pilot study will be used to guide future development of a mobile health system application for remote real-time symptom monitoring to implement earlier interventions to reduce severity of symptoms, improve quality of life, and avoid drug discontinuations and dose reductions in this patient population.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
University of Virginia, Charlottesville, Virginia, United States
Name: Ryan Gentzler, MD
Affiliation: University of Virginia
Role: PRINCIPAL_INVESTIGATOR