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

Users' and Patients' Needs for Mental Health Services (378)

Published on in Vol 6, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15373, first published .
Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study

Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study

Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study

Authors of this article:

Jennifer Apolinário-Hagen1 Author Orcid Image ;   Severin Hennemann2 Author Orcid Image ;   Lara Fritsche3 Author Orcid Image ;   Marie Drüge4 Author Orcid Image ;   Bernhard Breil5 Author Orcid Image
Article Authors Cited by (37) Tweetations (7) Metrics

Journals

  1. Brew-Sam N, Chib A, Rossmann C. Differential influences of social support on app use for diabetes self-management – a mixed methods approach. BMC Medical Informatics and Decision Making 2020;20(1) View
  2. Hussein W, Bennett P, Pace S, Chen S, Legg V, Atwal J, Sun S, Schiller B. The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis. Clinical Journal of the American Society of Nephrology 2021;16(1):98 View
  3. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
  4. Fromberger P, Schröder S, Bauer L, Siegel B, Tozdan S, Briken P, Buntrock C, Etzler S, Rettenberger M, Leha A, Müller J. @myTabu—A Placebo Controlled Randomized Trial of a Guided Web-Based Intervention for Individuals Who Sexually Abused Children and Individuals Who Consumed Child Sexual Exploitation Material: A Clinical Study Protocol. Frontiers in Psychiatry 2021;11 View
  5. Lau N, Waldbaum S, Parigoris R, O'Daffer A, Walsh C, Colt S, Yi-Frazier J, Palermo T, McCauley E, Rosenberg A. eHealth and mHealth Psychosocial Interventions for Youths With Chronic Illnesses: Systematic Review. JMIR Pediatrics and Parenting 2020;3(2):e22329 View
  6. Breil B, Dederichs M, Kremer L, Richter D, Angerer P, Apolinário-Hagen J. Bekanntheit und Nutzung von digitalen Gesundheitsangeboten in Deutschland: eine bevölkerungsrepräsentative Querschnittsuntersuchung. Das Gesundheitswesen 2021;83(12):1019 View
  7. Apolinário-Hagen J, Harrer M, Dederichs M, Fritsche L, Wopperer J, Wals F, Loerbroks A, Lehr D, Salewski C, Angerer P, Ebert D, Zhou M. Exploring the influence of testimonial source on attitudes towards e-mental health interventions among university students: Four-group randomized controlled trial. PLOS ONE 2021;16(5):e0252012 View
  8. Aboelmaged M, Ali I, Hashem G. Mobile apps use for wellness and fitness and university students’ subjective wellbeing. Information Development 2022;38(4):672 View
  9. Lau N, O'Daffer A, Yi-Frazier J, Rosenberg A. Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps. Journal of Medical Internet Research 2021;23(6):e27105 View
  10. Pavlista V, Angerer P, Diebig M. Barriers and drivers of psychosocial risk assessments in German micro and small-sized enterprises: a qualitative study with owners and managers. BMC Public Health 2021;21(1) View
  11. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study. Journal of Medical Internet Research 2021;23(9):e27745 View
  12. Paganin G, Apolinário-Hagen J, Simbula S. Introducing mobile apps to promote the well-being of German and Italian university students. A cross-national application of the Technology Acceptance Model. Current Psychology 2023;42(31):27562 View
  13. Homayuni A, Hosseini Z, Abedini S. Explaining stress coping behaviors in patients with multiple sclerosis based on the PRECEDE model: a qualitative directed content analysis. BMC Psychiatry 2021;21(1) View
  14. Tan C, Koo A, Rahmat H, Siew W, Cheang A, Amir Sharji E. A quantitative study exploring the acceptance of the eHealth model for mental wellness among digital workers. F1000Research 2022;11:111 View
  15. Tan C, Koo A, Rahmat H, Siew W, Weng-Onn Cheang A, Amir Sharji E. Workplace Wellness, Mental Health Literacy, and Usage Intention of E-Mental Health amongst Digital Workers during the COVID-19 Pandemic. International Journal of Mental Health Promotion 2023;25(1):99 View
  16. Dzandu M. Antecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe. Technological Forecasting and Social Change 2023;187:122217 View
  17. Menon R, Meyer J, Nippak P, Begum H. Smartphone Alcohol Use Disorder Recovery Apps: Cross-sectional Survey of Behavioral Intention to Use. JMIR Human Factors 2022;9(2):e33493 View
  18. Pardes A, Rene R, Chun P, Cherson M. Technology-enabled Behavioral Health Integration Decreases Emergency Department Utilization. Clinical Practice & Epidemiology in Mental Health 2022;18(1) View
  19. Jo H, Bagwari A. Antecedents of Continuance Intention of Social Networking Services (SNS): Utilitarian, Hedonic, and Social Contexts. Mobile Information Systems 2022;2022:1 View
  20. Kerr J, Naegelin M, Benk M, v Wangenheim F, Meins E, Viganò E, Ferrario A. Investigating Employees’ Concerns and Wishes Regarding Digital Stress Management Interventions With Value Sensitive Design: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e44131 View
  21. Kistner S, Kramer D. Erste Erfahrungen mit einer Selbstmanagement-App in der stationären Suchtbehandlung. SUCHT 2022;68(6):322 View
  22. Bendig E, Küchler A, Baumeister H, Becker T. Blended Care in In-Patient Acute Psychiatric Care. The Example of a Group Training for Social Competences in Adults—A Pretest–Posttest Feasibility Study. International Journal of Environmental Research and Public Health 2021;18(18):9433 View
  23. Breil B, Salewski C, Apolinário-Hagen J. Comparing the Acceptance of Mobile Hypertension Apps for Disease Management Among Patients Versus Clinical Use Among Physicians: Cross-sectional Survey. JMIR Cardio 2022;6(1):e31617 View
  24. Braun P, Drüge M, Hennemann S, Nitsch F, Staeck R, Apolinário-Hagen J. Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey. Frontiers in Digital Health 2022;4 View
  25. Paganin G, Simbula S. New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?. International Journal of Environmental Research and Public Health 2021;18(17):9366 View
  26. Klaver N, van de Klundert J, van den Broek R, Askari M. Relationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study. JMIR mHealth and uHealth 2021;9(8):e26845 View
  27. Tan C, Koo A, Rahmat H, Siew W, Cheang A, Amir Sharji E. A quantitative study exploring the acceptance of the eHealth model for mental wellness among digital workers. F1000Research 2022;11:111 View
  28. Broetje S, Bauer G, Jenny G. Acceptance of an Internet-Based Team Development Tool Aimed at Improving Work-Related Well-being in Nurses: Cross-sectional Study. JMIR Nursing 2022;5(1):e36702 View
  29. Mendes-Santos C, Campos T, Ferreira D, Weiderpass E, Santana R, Andersson G. Breast Cancer Survivors’ Attitudes toward eMental Health: A Cross-Sectional Study. Healthcare 2023;11(13):1920 View
  30. Schröder S, Buntrock C, Neumann L, Müller J, Fromberger P. Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study. JMIR Formative Research 2024;8:e48880 View
  31. Jo H. Sequential customer experiences leading to continuance intention in the mobile telecom industry: from contract to call center. Telecommunication Systems 2024;85(2):331 View
  32. Özer Ö, Köksal B, Altinok A. Understanding university students' attitudes and preferences for internet-based mental health interventions. Internet Interventions 2024;35:100722 View
  33. Kählke F, Hasking P, Küchler A, Baumeister H. Mental health services for German university students: acceptance of intervention targets and preference for delivery modes. Frontiers in Digital Health 2024;6 View
  34. Staeck R, Stüble M, Drüge M. Exploring subgroups of acceptance prediction for e-mental health among psychotherapists-in-training: a latent class analysis. Frontiers in Psychiatry 2024;15 View
  35. Thomas B, Follmer K, Meglich P. Giving Organization Stakeholders Better Help: A Taxonomy for Making Sense of Workplace Mental Health Offerings. Group & Organization Management 2024 View

Books/Policy Documents

  1. Breil B. Handbuch Digitale Gesundheitswirtschaft. View