Literature DB >> 32446158

Efficacy of mobile app-based interactive cognitive behavioral therapy using a chatbot for panic disorder.

Jooyoung Oh1, Sooah Jang2, Hyunji Kim2, Jae-Jin Kim3.   

Abstract

BACKGROUND: Cognitive behavioral therapy (CBT) is a well-established treatment for panic disorder, but many fewer patients receive this treatment compared to medication-based therapy. Mobile app-based interactive CBT using a chatbot can increase patient access to CBT. We performed a preliminary study to determine whether short-term use of a newly developed chatbot is feasible and effective for relieving panic symptoms.
METHOD: Forty-one patients were randomly assigned to either a chatbot group (n = 21) or control group (n = 20) for a period of 4 weeks. The chatbot group was guided in the use of the chatbot application, while the control group was provided with a book on panic disorder. MAIN
RESULTS: The severity of panic disorder was significantly decreased in the chatbot group, but not in the control group. The social phobia score was significantly decreased and the control helplessness score was significantly increased in the chatbot group compared to the control group. DISCUSSION AND
CONCLUSION: We found that mobile app-based interactive CBT using the chatbot was feasible and effective for reducing the severity of panic symptoms. Using this novel approach to provide CBT would allow clinicians to effect positive therapeutic outcomes with easy accessibility, interactivity, and self-management for patients with panic symptoms.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chatbot; Cognitive behavioral therapy; Mobile app; Panic disorder; Self-management

Mesh:

Year:  2020        PMID: 32446158     DOI: 10.1016/j.ijmedinf.2020.104171

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  6 in total

1.  Recruitment in a research study via chatbot versus telephone outreach: a randomized trial at a minority-serving institution.

Authors:  Yoo Jin Kim; Julie A DeLisa; Yu-Che Chung; Nancy L Shapiro; Subhash K Kolar Rajanna; Edward Barbour; Jeffrey A Loeb; Justin Turner; Susan Daley; John Skowlund; Jerry A Krishnan
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

2.  A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study.

Authors:  Yenushka Goonesekera; Liesje Donkin
Journal:  JMIR Form Res       Date:  2022-10-20

3.  Leveraging conversational technology to answer common COVID-19 questions.

Authors:  Mollie McKillop; Brett R South; Anita Preininger; Mitch Mason; Gretchen Purcell Jackson
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

4.  The Use of Online Training Tools in Competition Cyclists During COVID-19 Confinement in Spain.

Authors:  Antonio Moreno-Tenas; Eva León-Zarceño; Miguel Angel Serrano-Rosa
Journal:  Front Psychol       Date:  2021-03-18

Review 5.  Conversational Agents in Health Care: Scoping Review of Their Behavior Change Techniques and Underpinning Theory.

Authors:  Laura Martinengo; Ahmad Ishqi Jabir; Westin Wei Tin Goh; Nicholas Yong Wai Lo; Moon-Ho Ringo Ho; Tobias Kowatsch; Rifat Atun; Susan Michie; Lorainne Tudor Car
Journal:  J Med Internet Res       Date:  2022-10-03       Impact factor: 7.076

6.  Using AI chatbots to provide self-help depression interventions for university students: A randomized trial of effectiveness.

Authors:  Hao Liu; Huaming Peng; Xingyu Song; Chenzi Xu; Meng Zhang
Journal:  Internet Interv       Date:  2022-01-06
  6 in total

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