Category: Clinical Stones: Medical Management
Introduction & Objective :
Compliance with increasing fluid intake to produce at least 2.5L of urine daily for kidney stone prevention is commonly below 50%. We have previously shown that patients are interested in utilizing sensors to provide automated lapse detection in fluid intake to improve adherence to recommendations. Wrist-worn inertial sensors can detect drinking behavior with accelerometers and gyroscopes. The purpose of this study was to devise a protocol to test the ability of a wrist sensor to refine the detection of drinking behavior in everyday activities and to evaluate the recruitment process for future clinical trials.
Methods : Adults without physical limitations were recruited to participate in the 70-minute lab sessions. Wrist sensors were worn bilaterally and participants were videotaped performing a variety of daily activities, including drinking from various vessels.
Results : 30 participants were enrolled out of a total of 56 who were eligible, with an average age of 33 (range 19-68), 80% Caucasian and 87% female. Participants completed the lab study in 18 sessions over 7 weeks. Table 1 highlights the amount of time spent performing protocol activities.
Conclusions : Sensor data can be collected in the laboratory to classify drinking gestures. The digital biomarker being developed in this protocol can be applied to automate lapse detection as a part of a fluid intake intervention for patients with kidney stones. Combining this digital biomarker with evidence-based behavior change techniques may improve adherence to fluid intake recommendations.
Necole Streeper– Assistant Professor of Surgery , Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania
Edison Thomaz– , Austin, Texas
Ashley Sanders– , University Park, Pennsylvania
Alexandra Dubnansky– , University Park, Pennsylvania
David Conroy– , University Park, Pennsylvania
Assistant Professor of Surgery
Penn State Milton S. Hershey Medical Center