Development and Clinical Evaluation of an mHealth Application for Stress Management

A large number of individuals experience mental health disorders, with cognitive behavioral therapy (CBT) emerging as a standard practice for reduction in psychiatric symptoms including stress, anger, anxiety and depression. However, CBT is associated with significant patient dropout, and lacks the...

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Main Authors: Brent D. Winslow, George L Chadderdon, Sara J Dechmerowski, David L. Jones, Solomon Kalkstein, Jennifer L. Greene, Philip Gehrman
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-07-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00130/full
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spelling doaj-e569dfaffd3345f191c37ae955c605f82020-11-24T22:01:16ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402016-07-01710.3389/fpsyt.2016.00130213991Development and Clinical Evaluation of an mHealth Application for Stress ManagementBrent D. Winslow0George L Chadderdon1Sara J Dechmerowski2David L. Jones3Solomon Kalkstein4Jennifer L. Greene5Philip Gehrman6Design Interactive, Inc.Design Interactive, Inc.Design Interactive, Inc.Quantified Design Solutions LLCUniversity of PennsylvaniaUniversity of PennsylvaniaUniversity of PennsylvaniaA large number of individuals experience mental health disorders, with cognitive behavioral therapy (CBT) emerging as a standard practice for reduction in psychiatric symptoms including stress, anger, anxiety and depression. However, CBT is associated with significant patient dropout, and lacks the means to provide objective data regarding a patient’s experience and symptoms between sessions. Emerging wearables and mobile health (mHealth) applications represent an approach that may provide objective data to the patient and provider between CBT sessions. Here we describe the development of a classifier of real-time physiological stress in a healthy population (n=35), and apply it in a controlled clinical evaluation for armed forces veterans undergoing CBT for stress and anger management (n=16). Using cardiovascular and electrodermal inputs from a wearable device, the classifier was able to detect physiological stress in a non-clinical sample with an accuracy greater than 90%. In a small clinical sample, patients who used the classifier and an associated mHealth application were less likely to discontinue therapy (p=0.016, d=1.34) and significantly improved on measures of stress (p=0.032, d=1.61), anxiety (p=0.050, d=1.26), and anger (p=0.046, d=1.41) compared to controls undergoing CBT alone. Given the large number of individuals that experience mental health disorders, and the unmet need for treatment, especially in developing nations, such mHealth approaches have the potential to provide or augment treatment at low cost in the absence of in-person care.http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00130/fullHeart RateTelemedicinestresscognitive behavioral therapyelectrodermal responsewearable devices
collection DOAJ
language English
format Article
sources DOAJ
author Brent D. Winslow
George L Chadderdon
Sara J Dechmerowski
David L. Jones
Solomon Kalkstein
Jennifer L. Greene
Philip Gehrman
spellingShingle Brent D. Winslow
George L Chadderdon
Sara J Dechmerowski
David L. Jones
Solomon Kalkstein
Jennifer L. Greene
Philip Gehrman
Development and Clinical Evaluation of an mHealth Application for Stress Management
Frontiers in Psychiatry
Heart Rate
Telemedicine
stress
cognitive behavioral therapy
electrodermal response
wearable devices
author_facet Brent D. Winslow
George L Chadderdon
Sara J Dechmerowski
David L. Jones
Solomon Kalkstein
Jennifer L. Greene
Philip Gehrman
author_sort Brent D. Winslow
title Development and Clinical Evaluation of an mHealth Application for Stress Management
title_short Development and Clinical Evaluation of an mHealth Application for Stress Management
title_full Development and Clinical Evaluation of an mHealth Application for Stress Management
title_fullStr Development and Clinical Evaluation of an mHealth Application for Stress Management
title_full_unstemmed Development and Clinical Evaluation of an mHealth Application for Stress Management
title_sort development and clinical evaluation of an mhealth application for stress management
publisher Frontiers Media S.A.
series Frontiers in Psychiatry
issn 1664-0640
publishDate 2016-07-01
description A large number of individuals experience mental health disorders, with cognitive behavioral therapy (CBT) emerging as a standard practice for reduction in psychiatric symptoms including stress, anger, anxiety and depression. However, CBT is associated with significant patient dropout, and lacks the means to provide objective data regarding a patient’s experience and symptoms between sessions. Emerging wearables and mobile health (mHealth) applications represent an approach that may provide objective data to the patient and provider between CBT sessions. Here we describe the development of a classifier of real-time physiological stress in a healthy population (n=35), and apply it in a controlled clinical evaluation for armed forces veterans undergoing CBT for stress and anger management (n=16). Using cardiovascular and electrodermal inputs from a wearable device, the classifier was able to detect physiological stress in a non-clinical sample with an accuracy greater than 90%. In a small clinical sample, patients who used the classifier and an associated mHealth application were less likely to discontinue therapy (p=0.016, d=1.34) and significantly improved on measures of stress (p=0.032, d=1.61), anxiety (p=0.050, d=1.26), and anger (p=0.046, d=1.41) compared to controls undergoing CBT alone. Given the large number of individuals that experience mental health disorders, and the unmet need for treatment, especially in developing nations, such mHealth approaches have the potential to provide or augment treatment at low cost in the absence of in-person care.
topic Heart Rate
Telemedicine
stress
cognitive behavioral therapy
electrodermal response
wearable devices
url http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00130/full
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