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

e-Mental Health and Cyberpsychology (1402) Depression and Mood Disorders; Suicide Prevention (1282) Reviews in Digital Mental Health (227)

Published on in Vol 19, No 5 (2017): May

Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis

Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis

Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis

Authors of this article:

Fabian Wahle1 Author Orcid Image ;   Lea Bollhalder2 Author Orcid Image ;   Tobias Kowatsch3 Author Orcid Image ;   Elgar Fleisch2 Author Orcid Image
Article Authors Cited by (33) Tweetations (11) Metrics

Journals

  1. Xu X, Chikersal P, Doryab A, Villalba D, Dutcher J, Tumminia M, Althoff T, Cohen S, Creswell K, Creswell J, Mankoff J, Dey A. Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(3):1 View
  2. Zahiri Esfahani M, Ahmadi M, Dehnad A. Design of Psycho-educational Web-Based Interventions for People with Mental Disorders: a Systematic Review. Journal of Technology in Behavioral Science 2020;5(4):345 View
  3. Eccles H, Nannarone M, Lashewicz B, Attridge M, Marchand A, Aiken A, Ho K, Wang J. Perceived Effectiveness and Motivations for the Use of Web-Based Mental Health Programs: Qualitative Study. Journal of Medical Internet Research 2020;22(7):e16961 View
  4. Taylor C, Graham A, Flatt R, Waldherr K, Fitzsimmons-Craft E. Current state of scientific evidence on Internet-based interventions for the treatment of depression, anxiety, eating disorders and substance abuse: an overview of systematic reviews and meta-analyses. European Journal of Public Health 2021;31(Supplement_1):i3 View
  5. Yu X, Han W, Jiang J, Wang Y, Xin S, Wu S, Sun H, Wang Z, Zhao Y. Key Issues in the Development of an Evidence-Based Stratified Surgical Patient Safety Improvement Information System: Experience From a Multicenter Surgical Safety Program. Journal of Medical Internet Research 2019;21(6):e13576 View
  6. Andersson G, Carlbring P, Titov N, Lindefors N. Internet Interventions for Adults with Anxiety and Mood Disorders: A Narrative Umbrella Review of Recent Meta-Analyses. The Canadian Journal of Psychiatry 2019;64(7):465 View
  7. García N. Terapia cognitiva con entrega virtual en trastorno depresivo persistente: estudio de caso. Clínica Contemporánea 2019;10(3) View
  8. Xin M, Viswanath K, Li A, CAO W, HU Y, Lau J, Mo P. The Effectiveness of Electronic Health Interventions for Promoting HIV-Preventive Behaviors Among Men Who Have Sex With Men: Meta-Analysis Based on an Integrative Framework of Design and Implementation Features. Journal of Medical Internet Research 2020;22(5):e15977 View
  9. Carolan S, de Visser R. Employees’ Perspectives on the Facilitators and Barriers to Engaging With Digital Mental Health Interventions in the Workplace: Qualitative Study. JMIR Mental Health 2018;5(1):e8 View
  10. Mantani A, Kato T, Furukawa T, Horikoshi M, Imai H, Hiroe T, Chino B, Funayama T, Yonemoto N, Zhou Q, Kawanishi N. Smartphone Cognitive Behavioral Therapy as an Adjunct to Pharmacotherapy for Refractory Depression: Randomized Controlled Trial. Journal of Medical Internet Research 2017;19(11):e373 View
  11. Meng J, Hussain S, Mohr D, Czerwinski M, Zhang M. Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study. Journal of Medical Internet Research 2018;20(7):e10139 View
  12. Radomski A, Wozney L, McGrath P, Huguet A, Hartling L, Dyson M, Bennett K, Newton A. Potential Reduction of Symptoms With the Use of Persuasive Systems Design Features in Internet-Based Cognitive Behavioral Therapy Programs for Children and Adolescents With Anxiety: A Realist Synthesis. JMIR Mental Health 2019;6(10):e13807 View
  13. Grimm L, Bauer G, Jenny G. A Digital Tool to Build the Capacity of Leaders to Improve Working Conditions Related to Psychological Health and Well-Being in Teams: Intervention Approach, Prototype, and Evaluation Design of the Web-Application “wecoach”. Frontiers in Public Health 2020;8 View
  14. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1) View
  15. Coyne S, Hurst J, Dyer W, Hunt Q, Schvanaveldt E, Brown S, Jones G. Suicide Risk in Emerging Adulthood: Associations with Screen Time over 10 years. Journal of Youth and Adolescence 2021;50(12):2324 View
  16. Lee H, Kang S, Lee U. Understanding Privacy Risks and Perceived Benefits in Open Dataset Collection for Mobile Affective Computing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(2):1 View
  17. Lim S, Shiau C, Cheng L, Lau Y. Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression. Behavior Therapy 2022;53(2):334 View
  18. Bongers I, Buitenweg D, van Kuijk R, van Nieuwenhuizen C. I Need to Know: Using the CeHRes Roadmap to Develop a Treatment Feedback Tool for Youngsters with Mental Health Problems. International Journal of Environmental Research and Public Health 2022;19(17):10834 View
  19. Six S, Byrne K, Tibbett T, Pericot-Valverde I. Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis. JMIR Mental Health 2021;8(11):e32199 View
  20. Kip H, Keizer J, da Silva M, Beerlage-de Jong N, Köhle N, Kelders S. Methods for Human-Centered eHealth Development: Narrative Scoping Review. Journal of Medical Internet Research 2022;24(1):e31858 View
  21. Shan Y, Ji M, Xie W, Li R, Qian X, Zhang X, Hao T. Interventions in Chinese Undergraduate Students’ Mental Health: Systematic Review. Interactive Journal of Medical Research 2022;11(1):e38249 View
  22. Liu X, Tsai S. Construction of Rural Left-Behind Children’s Mental Health Mobile Information System Based on the Internet of Things. Mobile Information Systems 2021;2021:1 View
  23. Badesha K, Wilde S, Dawson D. Mental health mobile app use to manage psychological difficulties: an umbrella review. Mental Health Review Journal 2022;27(3):241 View
  24. Chiwanga F, Woodford J, Masika G, Richards D, Savi V, von Essen L. An mHealth Intervention to Improve Guardians’ Adherence to Children’s Follow-Up Care for Acute Lymphoblastic Leukemia in Tanzania (GuardiansCan Project): Protocol for a Development and Feasibility Study. JMIR Research Protocols 2023;12:e48799 View
  25. Guest P, Vasilevska V, Al-Hamadi A, Eder J, Falkai P, Steiner J. Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma. Frontiers in Psychiatry 2023;14 View
  26. Zhong W, Luo J, Zhang H. The therapeutic effectiveness of artificial intelligence-based chatbots in alleviation of depressive and anxiety symptoms in short-course treatments: A systematic review and meta-analysis. Journal of Affective Disorders 2024;356:459 View
  27. Suzuki A, Ginsborg J, Phillips M, Franklin Z. Developing an Online Intervention to Equip Tertiary Piano Students With Skills and Strategies for Effective Practice. Music & Science 2024;7 View

Books/Policy Documents

  1. Kowatsch T, Fischer-Taeschler D, Putzing F, Bürki P, Stettler C, Chiesa-Tanner G, Fleisch E. Digitale Transformation von Dienstleistungen im Gesundheitswesen VI. View
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  3. Deplazes S, Künzli H. Coaching im digitalen Wandel. View
  4. . The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System. View
  5. Kuika Watat J, Agbozo E. Co-creating for Context in the Transfer and Diffusion of IT. View