Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study. (1st April 2020)
- Record Type:
- Journal Article
- Title:
- Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study. (1st April 2020)
- Main Title:
- Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study
- Authors:
- Carreiro, Stephanie
Chintha, Keerthi Kumar
Shrestha, Sloke
Chapman, Brittany
Smelson, David
Indic, Premananda - Abstract:
- Highlights: Wearable sensors have to potential to dramatically impact SUD evaluation and interventions. Wearable sensors can detect self-reported episodes of stress and craving with accuracy of 75–77 %. Patients in recovery from SUD are highly accepting of continuous monitoring via wearable sensors. Abstract: Aims: To determine the accuracy of a wearable sensor to detect and differentiate episodes of self-reported craving and stress in individuals with substance use disorders, and to assess acceptability, barriers, and facilitators to sensor-based monitoring in this population. Methods: This was an observational mixed methods pilot study. Adults enrolled in an outpatient treatment program for a substance use disorder wore a non-invasive wrist-mounted sensor for four days and self-reported episodes of stress and craving. Continuous physiologic data (accelerometry, skin conductance, skin temperature, and heart rate) were extracted from the sensors and analyzed via various machine learning algorithms. Semi-structured interviews were conducted upon study completion, and thematic analysis was conducted on qualitative data from semi-structured interviews. Results: Thirty individuals completed the protocol, and 43 % (N = 13) were female. A total of 41 craving and 104 stress events were analyzed. The differentiation accuracies of the top performing models were as follows: stress vs. non-stress states 74.5 % (AUC 0.82), craving vs. no-craving 75.7 % (AUC 0.82), and craving vs. stressHighlights: Wearable sensors have to potential to dramatically impact SUD evaluation and interventions. Wearable sensors can detect self-reported episodes of stress and craving with accuracy of 75–77 %. Patients in recovery from SUD are highly accepting of continuous monitoring via wearable sensors. Abstract: Aims: To determine the accuracy of a wearable sensor to detect and differentiate episodes of self-reported craving and stress in individuals with substance use disorders, and to assess acceptability, barriers, and facilitators to sensor-based monitoring in this population. Methods: This was an observational mixed methods pilot study. Adults enrolled in an outpatient treatment program for a substance use disorder wore a non-invasive wrist-mounted sensor for four days and self-reported episodes of stress and craving. Continuous physiologic data (accelerometry, skin conductance, skin temperature, and heart rate) were extracted from the sensors and analyzed via various machine learning algorithms. Semi-structured interviews were conducted upon study completion, and thematic analysis was conducted on qualitative data from semi-structured interviews. Results: Thirty individuals completed the protocol, and 43 % (N = 13) were female. A total of 41 craving and 104 stress events were analyzed. The differentiation accuracies of the top performing models were as follows: stress vs. non-stress states 74.5 % (AUC 0.82), craving vs. no-craving 75.7 % (AUC 0.82), and craving vs. stress 76.8 % (AUC 0.8). Overall participant perception was positive, and acceptability was high. Emergent themes from the exit interviews included a perception of connectedness and increased mindfulness related to wearing the sensor, both of which were reported as helpful to recovery. Barriers to engagement included interference with other daily wear items, and perceived stigma. Conclusions: Wearable sensors can be used to objectively differentiate episodes of craving and stress, and individuals in recovery from substance use disorder are accepting of continuous monitoring with these devices. … (more)
- Is Part Of:
- Drug and alcohol dependence. Volume 209(2020)
- Journal:
- Drug and alcohol dependence
- Issue:
- Volume 209(2020)
- Issue Display:
- Volume 209, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 209
- Issue:
- 2020
- Issue Sort Value:
- 2020-0209-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04-01
- Subjects:
- Wearable -- Sensor -- Substance use disorder -- mHealth -- Craving -- Stress
Drug abuse -- Periodicals
Alcoholism -- Periodicals
616.86 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03768716 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.drugalcdep.2020.107929 ↗
- Languages:
- English
- ISSNs:
- 0376-8716
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3627.890000
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- 13548.xml