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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2016-07-01
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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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