This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (506) JMIR Theme Issue: COVID-19 Special Issue (2388) Depression and Mood Disorders; Suicide Prevention (1271) Occupational Health and Ergonomics/Prevention at the Workplace (220) Machine Learning (1370) e-Mental Health and Cyberpsychology (1386) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (371) Web-based and Mobile Health Interventions (3092)

Published on in Vol 10, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30305, first published .
Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial

Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial

Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial

Authors of this article:

Norito Kawakami1 Author Orcid Image ;   Kotaro Imamura1 Author Orcid Image ;   Kazuhiro Watanabe2 Author Orcid Image ;   Yuki Sekiya1 Author Orcid Image ;   Natsu Sasaki1 Author Orcid Image ;   Nana Sato1 Author Orcid Image ;   SMART-CBT Project Team1
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Obikane E, Sasaki N, Imamura K, Nozawa K, Vedanthan R, Cuijpers P, Shimazu T, Kamada M, Kawakami N, Nishi D. Usefulness of Implementation Outcome Scales for Digital Mental Health (iOSDMH): Experiences from Six Randomized Controlled Trials. International Journal of Environmental Research and Public Health 2022;19(23):15792 View
  2. Bureau R, Bemmouna D, Faria C, Goethals A, Douhet F, Mengin A, Fritsch A, Zinetti Bertschy A, Frey I, Weiner L. My Health Too: Investigating the Feasibility and the Acceptability of an Internet-Based Cognitive-Behavioral Therapy Program Developed for Healthcare Workers. Frontiers in Psychology 2021;12 View
  3. Peng X, Wang-Trexler N, Magagna W, Land S, Peck K. Learning Agility of Learning and Development Professionals in the Life Sciences Field During the COVID-19 Pandemic: Empirical Study. Interactive Journal of Medical Research 2022;11(1):e33360 View
  4. Furukawa T, Iwata S, Horikoshi M, Sakata M, Toyomoto R, Luo Y, Tajika A, Kudo N, Aramaki E. Harnessing AI to Optimize Thought Records and Facilitate Cognitive Restructuring in Smartphone CBT: An Exploratory Study. Cognitive Therapy and Research 2023;47(6):887 View
  5. Dohi Y, Imamura K, Sasaki N, Komase Y, Sakuraya A, Nakamura Y, Maejima M, Aoyama M, Kawakami N, Miyamoto Y. Effects of an Internet Delivered Behavioral Activation Program on Improving Work Engagement Among Japanese Workers. Journal of Occupational & Environmental Medicine 2023;65(10):e654 View
  6. Jia X, Tu J. Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness. Systems 2024;12(3):74 View
  7. Cho A, Cha C, Baek G. Development of an Artificial Intelligence–Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial. Journal of Medical Internet Research 2024;26:e54029 View

Books/Policy Documents

  1. Liao P, Chong D. Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate. View