Towards Detecting Cocaine Use Using Smartwatches in the NIDA Clinical Trials Network: Design, Rationale, and Methodology

Publication Type
Journal Article
Year of Publication
2019
Authors
Holtyn, August F; Bosworth, Eugene; Marsch, Lisa A; McLeman, Bethany; Meier, Andrea; Saunders, Elizabeth C; Ertin, Emre; Ullah, Md Azim; Samiei, Shahin Alan; Hossain, Monowar; Kumar, Santosh; Preston, Kenzie L; Vahabzadeh, Massoud; Shmueli-Blumberg, Dikla; Collins, Julia; McCormack, Jennifer; Ghitza, Udi E
Secondary
Contemp Clin Trials Commun
Volume
15
Pagination
100392
Date Published
06/2019
Keywords
Clinical Trials Network; Cocaine; Device development; Methods or experimental design; Mobile sensing
Abstract

Cocaine use in clinical trials is often measured via self-report, which can be inaccurate, or urine drug screens, which can be intrusive and burdensome. Devices that can automatically detect cocaine use and can be worn conveniently in daily life may provide several benefits. AutoSense is a wearable, physiological-monitoring suite that can detect cocaine use, but it may be limited as a method for monitoring cocaine use because it requires wearing a chestband with electrodes. This paper describes the design, rationale, and methodology of a project that seeks to build upon and extend previous work in the development of methods to detect cocaine use via wearable, unobtrusive mobile sensor technologies. To this end, a wrist-worn sensor suite (i.e., MotionSense HRV) will be developed and evaluated. Participants who use cocaine (N = 25) will be asked to wear MotionSense HRV and AutoSense for two weeks during waking hours. Drug use will be assessed via thrice-weekly urine drug screens and self-reports, and will be used to isolate periods of cocaine use that will be differentiated from other drug use. The present study will provide information on the feasibility and acceptability of using a wrist-worn device to detect cocaine use.