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

Web-based and Mobile Health Interventions (3299) Registered Report (561) Anxiety and Stress Disorders (1053) Occupational Health and Ergonomics/Prevention at the Workplace (238) mHealth for Wellness, Behavior Change and Prevention (2872) Physician and Healthcare Worker Burnout (109) Mobile Health (mhealth) (2941) Nursing in a Hospital Setting (101) Health Services in Resource-Poor Settings and LMICs (414)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20445, first published .
Effects of Smartphone-Based Stress Management on Improving Work Engagement Among Nurses in Vietnam: Secondary Analysis of a Three-Arm Randomized Controlled Trial

Effects of Smartphone-Based Stress Management on Improving Work Engagement Among Nurses in Vietnam: Secondary Analysis of a Three-Arm Randomized Controlled Trial

Effects of Smartphone-Based Stress Management on Improving Work Engagement Among Nurses in Vietnam: Secondary Analysis of a Three-Arm Randomized Controlled Trial

Authors of this article:

Natsu Sasaki1 Author Orcid Image ;   Kotaro Imamura1 Author Orcid Image ;   Thuy Thi Thu Tran2 Author Orcid Image ;   Huong Thanh Nguyen3 Author Orcid Image ;   Kazuto Kuribayashi1 Author Orcid Image ;   Asuka Sakuraya4 Author Orcid Image ;   Thu Minh Bui5 Author Orcid Image ;   Quynh Thuy Nguyen2 Author Orcid Image ;   Nga Thi Nguyen3 Author Orcid Image ;   Giang Thi Huong Nguyen5 Author Orcid Image ;   Melvyn Weibin Zhang6 Author Orcid Image ;   Harry Minas7 Author Orcid Image ;   Yuki Sekiya1 Author Orcid Image ;   Kazuhiro Watanabe1 Author Orcid Image ;   Akizumi Tsutsumi8 Author Orcid Image ;   Akihito Shimazu9 Author Orcid Image ;   Norito Kawakami1 Author Orcid Image
Article Authors Cited by (15) Tweetations (5) Metrics

Journals

  1. Kawakami N, Imamura K, Watanabe K, Sekiya Y, Sasaki N, Sato N. Effects of an Internet-based machine-guided stress management program based on cognitive behavioral therapy applying artificial intelligence technologies on improving depression among workers: a protocol for a randomized controlled trial (Preprint). JMIR Research Protocols 2021 View
  2. Dumarkaite A, Truskauskaite I, Andersson G, Jovarauskaite L, Jovaisiene I, Nomeikaite A, Kazlauskas E. The efficacy of the internet-based stress recovery intervention FOREST for nurses amid the COVID-19 pandemic: A randomized controlled trial. International Journal of Nursing Studies 2023;138:104408 View
  3. Prescott J, Rathbone A. The efficacy of mHealth for stress and burnout in clinical settings and supervisions. Mental Health and Social Inclusion 2022;26(4):347 View
  4. Tamminga S, Emal L, Boschman J, Levasseur A, Thota A, Ruotsalainen J, Schelvis R, Nieuwenhuijsen K, van der Molen H. Individual-level interventions for reducing occupational stress in healthcare workers. Cochrane Database of Systematic Reviews 2023;2023(5) 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. Morello K, Schäfer S, Kunzler A, Priesterroth L, Tüscher O, Kubiak T. Cognitive reappraisal in mHealth interventions to foster mental health in adults: a systematic review and meta-analysis. Frontiers in Digital Health 2023;5 View
  7. Schmidt S, Andersch-Rupprecht C, Dengler T, Nagel E. Zur Wirksamkeit der digitalen betrieblichen Gesundheitsförderung in Zeiten von Home-Office: Eine systematische Übersichtsarbeit. Das Gesundheitswesen 2024;86(06):412 View
  8. Shiri R, Nikunlaakso R, Laitinen J. Effectiveness of Workplace Interventions to Improve Health and Well-Being of Health and Social Service Workers: A Narrative Review of Randomised Controlled Trials. Healthcare 2023;11(12):1792 View
  9. Muroi K, Ishitsuka M, Hachisuka T, Shibata I, Ikeda T, Hori D, Doki S, Takahashi T, Sasahara S, Matsuzaki I. Factors Associated With Work Engagement of Nurses During the Fifth Wave of the COVID-19 Pandemic in Japan: Web-Based Cross-Sectional Study. JMIR Formative Research 2023;7:e45830 View
  10. Junker M, Böhm M, Krcmar H, Kanmodi K. Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review. PLOS ONE 2024;19(1):e0296212 View
  11. Moore C, Kelly S, Melnyk B. The use of mHealth apps to improve hospital nurses' mental health and well‐being: A systematic review. Worldviews on Evidence-Based Nursing 2024;21(2):110 View
  12. Ilola T, Malmisalo M, Laukka E, Lehtiniemi H, Pölkki T, Kääriäinen M, He H, Kanste O. The effectiveness of digital solutions in improving nurses’ and healthcare professionals’ mental well-being: a systematic review and meta-analysis. Journal of Research in Nursing 2024;29(2):97 View
  13. Miura M, Tabuchi T, Amano H, Katanoda K. Evaluation of the Association Between Sedentary Time and Low Work Engagement in the Work Environment After COVID-19 Pandemic: A Cross-Sectional Study of Japanese Workers. Cureus 2024 View
  14. Yue F, Wang S, Du Y, Sun F, Wang Y, Guo Y, Liu X. Effects of a Nurse–Manager Dualistic Intervention (NMDI) Program on Work Engagement and Job Crafting of ICU Burnout Nurses: A Quasi‐Experimental Study. Journal of Nursing Management 2024;2024(1) View

Books/Policy Documents

  1. Werner L. Human-Automation Interaction. View