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

Mobile Health in Psychiatry (428) Mobile Health (mhealth) (2945) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1519) Formative Studies and eHealth/mHealth Development (525) mHealth for Wellness, Behavior Change and Prevention (2875) Design and Formative Evaluation of Mobile Apps (699) Depression and Mood Disorders; Suicide Prevention (1364) Participatory Design and Participatory Research (330) Formative Evaluation of Digital Health Interventions (2422) Occupational Health and Ergonomics/Prevention at the Workplace (238)

Published on in Vol 5, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8999, first published .
Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study

Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study

Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study

Authors of this article:

Dorian Peters1 Author Orcid Image ;   Mark Deady2, 3 Author Orcid Image ;   Nick Glozier4 Author Orcid Image ;   Samuel Harvey2, 3 Author Orcid Image ;   Rafael A Calvo1 Author Orcid Image
Article Authors Cited by (36) Tweetations (28) Metrics

Journals

  1. Deady M, Glozier N, Collins D, Einboden R, Lavender I, Wray A, Gayed A, Calvo R, Christensen H, Harvey S, Choi I. The Utility of a Mental Health App in Apprentice Workers: A Pilot Study. Frontiers in Public Health 2020;8 View
  2. Mehrotra S, Tripathi R. Recent developments in the use of smartphone interventions for mental health. Current Opinion in Psychiatry 2018;31(5):379 View
  3. Liu B, Chen H, Wang Y. More work, better health? The moderation effect of employee-organizational psychological distance. Journal of Health Psychology 2021;26(12):2200 View
  4. Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review. Journal of Medical Internet Research 2020;22(5):e17572 View
  5. Deady M, Johnston D, Glozier N, Milne D, Choi I, Mackinnon A, Mykletun A, Calvo R, Gayed A, Bryant R, Christensen H, Harvey S. Smartphone application for preventing depression: study protocol for a workplace randomised controlled trial. BMJ Open 2018;8(7):e020510 View
  6. Deady M, Glozier N, Calvo R, Johnston D, Mackinnon A, Milne D, Choi I, Gayed A, Peters D, Bryant R, Christensen H, Harvey S. Preventing depression using a smartphone app: a randomized controlled trial. Psychological Medicine 2022;52(3):457 View
  7. Deady M, Johnston D, Milne D, Glozier N, Peters D, Calvo R, Harvey S. Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2018;6(12):e11661 View
  8. Alqahtani F, Winn A, Orji R. Co-Designing a Mobile App to Improve Mental Health and Well-Being: Focus Group Study. JMIR Formative Research 2021;5(2):e18172 View
  9. Stratton E, Choi I, Peters D, Calvo R, Harvey S, Glozier N. Co-Designing a Web-Based Decision Aid Tool for Employees Disclosure of Mental Health Conditions: A Participatory Study Design Using Employee and Organizational Preferences. JMIR Formative Research 2020;4(11):e23337 View
  10. 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
  11. Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. Journal of Medical Internet Research 2020;22(12):e21687 View
  12. Hulls P, de Vocht F, Martin R, Langford R. “We are our own worst enemy”: a qualitative exploration of work-related stress in the construction industry. International Journal of Workplace Health Management 2022;15(5):609 View
  13. Hardy A, Ward T, Emsley R, Greenwood K, Freeman D, Fowler D, Kuipers E, Bebbington P, Garety P. Bridging the Digital Divide in Psychological Therapies: Observational Study of Engagement With the SlowMo Mobile App for Paranoia in Psychosis. JMIR Human Factors 2022;9(3):e29725 View
  14. Vial S, Boudhraâ S, Dumont M. Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review. JMIR Mental Health 2022;9(6):e35591 View
  15. Kornfield R, Mohr D, Ranney R, Lattie E, Meyerhoff J, Williams J, Reddy M. Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  16. Sun S, Zhang Z, Tian M, Mougenot C, Glozier N, Calvo R. Preferences for a Mental Health Support Technology Among Chinese Employees: Mixed Methods Approach. JMIR Human Factors 2022;9(4):e40933 View
  17. Counson I, Bartholomew A, Crawford J, Petrie K, Basarkod G, Moynihan V, Pires J, Cohen R, Glozier N, Harvey S, Sanatkar S. Development of the Shift Smartphone App to Support the Emotional Well-Being of Junior Physicians: Design of a Prototype and Results of Usability and Acceptability Testing. JMIR Formative Research 2021;5(12):e26370 View
  18. Choi I, Petrie K, Einboden R, Collins D, Ryan R, Johnston D, Harvey S, Glozier N, Wray A, Deady M. Apprentices’ Attitudes Toward Using a Mental Health Mobile App to Support Healthy Coping: Mixed Methods Study. JMIR Human Factors 2022;9(3):e35661 View
  19. Scheutzow J, Attoe C, Harwood J. Acceptability of Web-Based Mental Health Interventions in the Workplace: Systematic Review. JMIR Mental Health 2022;9(5):e34655 View
  20. Baumann M, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9 View
  21. Tomas V, Hsu S, Kingsnorth S, Anagnostou E, Kirsh B, Lindsay S. Development and Usability Testing of a Web-Based Workplace Disability Disclosure Decision Aid Tool for Autistic Youth and Young Adults: Qualitative Co-design Study. JMIR Formative Research 2023;7:e44354 View
  22. Opozda M, Galdas P, Watkins D, Smith J. Intersecting identities, diverse masculinities, and collaborative development: Considerations in creating online mental health interventions that work for men. Comprehensive Psychiatry 2024;129:152443 View
  23. 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
  24. Deady M, Collins D, Glozier N, Gardiner E, Arena A, Gayed A, Bryant R, Calvo R, Harvey S. Naturalistic Evaluation of HeadGear: A Smartphone App to Reduce Depressive Symptoms in Workers. Behavior Therapy 2024 View
  25. Funnell E, Spadaro B, Martin-Key N, Benacek J, Bahn S. Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study. JMIR Formative Research 2024;8:e48881 View
  26. Harrer M, Nixon P, Sprenger A, Heber E, Boß L, Heckendorf H, Buntrock C, Ebert D, Lehr D. Are web-based stress management interventions effective as an indirect treatment for depression? An individual participant data meta-analysis of six randomised trials. BMJ Mental Health 2024;27(1):e300846 View
  27. Alfian S, Sania J, Aini D, Khoiry Q, Griselda M, Ausi Y, Zakiyah N, Puspitasari I, Suwantika A, Mahfud M, Aji S, Abdulah R, Kassianos A. Evaluation of usability and user feedback to guide telepharmacy application development in Indonesia: a mixed-methods study. BMC Medical Informatics and Decision Making 2024;24(1) View
  28. Reen J, Chan G, Orji R. iCare: Insights from the Evaluation of an App for Managing Stress Among Working-Class Indian Women. International Journal of Human–Computer Interaction 2024:1 View
  29. Yoon S, Goh H, Low X, Weng J, Heaukulani C. User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform ‘mindline at work’. BMJ Health & Care Informatics 2024;31(1):e101045 View
  30. Manning J, Blandford A, Edbrooke-Childs J. Facilitators of and Barriers to Teachers’ Engagement With Consumer Technologies for Stress Management: Qualitative Study. Journal of Medical Internet Research 2024;26:e50457 View
  31. Rezaee R, Ghaffari M, Rabiei R, Kavousi A, Rakhshanderou S. Requirements and Key Features of a Mobile Application for Adolescent Self-Care From a Stakeholders Perspective: A Qualitative Study. Journal of Prevention 2024;45(6):861 View

Books/Policy Documents

  1. Alqahtani F, Alslaity A, Orji R. Human-Computer Interaction. User Experience and Behavior. View
  2. Thompson D, Ski C. Comprehensive Men's Mental Health. View
  3. Larsen M, Vo L, Pratap A, Peters D. Tasman’s Psychiatry. View
  4. Larsen M, Vo L, Pratap A, Peters D. Tasman’s Psychiatry. View