Towards Detecting Cocaine Use Using Smartwatches in the NIDA Clinical Trials Network
NCT ID: NCT02915341
Last Updated: 2018-07-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
24 participants
OBSERVATIONAL
2016-05-01
2018-04-24
Brief Summary
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Detailed Description
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Prior to the start of this protocol, investigators will optimize collection of cardiac interbeat interval data on the smartwatches via a preliminary ambulatory study (with Co-Investigator Ertin at the Ohio State University). The development of the smartwatch device and the initial smartwatch computational model is currently being supported separately (outside of this human subjects protocol) by the National Drug Abuse Treatment Clinical Trials Network (CTN). Investigators and research assistants at the Ohio State University will wear prototypes of the smartwatch devices and the AutoSense chest sensor during waking hours for five days to capture cardiac interbeat interval data as well as identify initial fit and usability problems with the prototype smartwatch devices and inform its subsequent refinements. This preliminary ambulatory study is a separate protocol being conducted at Ohio State University with oversight by that institution's Institutional Review Board (IRB), and thus is not considered part of the 0073-Ot human subjects protocol.
Once the preliminary study has concluded, investigators will conduct a field test during which the smartwatch and AutoSense chest sensors will be worn by 25 cocaine users for two weeks (5 participants will participate in pilot testing for two weeks each, after which the smartwatch device may undergo further refinements for improved wearability and/or data collection among the remaining participants). Outcomes of this study are to characterize the feasibility of the smartwatch device to continuously detect interbeat interval and physical activity data, and to characterize situations where data yield of sufficient quality for the application of more advanced computational models (e.g., cocaine detection) can take place in participants' natural field settings. Secondarily, data from the trial will be used to compare data yields from the two sensor suites being worn (the smartwatch devices and the AutoSense chest sensors). The data may also be useful for updating the computational models (e.g., cocaine detection) previously developed with the AutoSense chest sensors for data collected by the smartwatches. The results from this study may be used to inform future research of this type to investigate technological improvements and the situations during which using mobile sensors can unobtrusively characterize precipitants and use patterns (e.g., contextual) surrounding drug use events.
It is important to note that this study is not designed to assess the acceptability of the smartwatch among cocaine users, nor is it a study to evaluate the utility of using a smartwatch for measuring cocaine use outcomes as part of a clinical trial. Rather, investigators are intentionally recruiting participants who frequently use cocaine and compensating them to participate in this study designed to characterize the feasibility of using a smartwatch to collect reliable, continuous interbeat interval and physical activity data in the natural field setting, and to characterize under what conditions high quality data can be obtained from smartwatches. If results are promising, future research designs with larger sample sizes can explore some of these more clinically-relevant scientific questions.
Conditions
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Study Design
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OTHER
OTHER
Eligibility Criteria
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Inclusion Criteria
2. Be active in the Induction Period (days 8-35) of the parent clinical trial at the time of study intake.
3. Provide a cocaine-positive urine sample in the week prior (based on thrice-weekly urine samples collected as a part of the parent trial).
4. Be available for the duration of the study (16 days total) and able to attend weekday research check-in sessions at the recruitment site.
18 Years
ALL
Yes
Sponsors
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National Drug Abuse Treatment Clinical Trials Network
NETWORK
University of Memphis
OTHER
Johns Hopkins University
OTHER
National Institute on Drug Abuse (NIDA)
NIH
Dartmouth College
OTHER
Dartmouth-Hitchcock Medical Center
OTHER
Responsible Party
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Lisa A. Marsch
Professor
Principal Investigators
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Lisa A. Marsch, PhD
Role: PRINCIPAL_INVESTIGATOR
Dartmouth College
Santosh Kumar, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Memphis
Locations
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Center for Learning and Health, Johns Hopkins University
Baltimore, Maryland, United States
Countries
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References
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Hossain SM, Ali AA, Rahman M, Ertin E, Epstein D, Kennedy A, Preston K, Umbricht A, Chen Y, Kumar S. Identifying Drug (Cocaine) Intake Events from Acute Physiological Response in the Presence of Free-living Physical Activity. IPSN. 2014;2014:71-82.
Ertin, E., Stohs, N., Kumar, S., Raij, A.B., al'Absi, M., Kwon, T., Mitra, S., Shah, S., & Jeong, J.W. (2011). AutoSense: Unobtrusively wearable sensor suite for inferencing of onset, causality, and consequences of stress in the field: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SenSys) (pp. 274-287). New York, NY: Association for Computing Machinery.
Ertin E, Sugavanam N, Holtyn AF, Preston KL, Bertz JW, Marsch LA, McLeman B, Shmueli-Blumberg D, Collins J, King JS, McCormack J, Ghitza UE. An Examination of the Feasibility of Detecting Cocaine Use Using Smartwatches. Front Psychiatry. 2021 Jun 24;12:674691. doi: 10.3389/fpsyt.2021.674691. eCollection 2021.
Other Identifiers
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CTN-0073-Ot
Identifier Type: -
Identifier Source: org_study_id
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