Published on in Vol 5, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9445, first published .
A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study

A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study

A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study

Journals

  1. Porras-Segovia A, Díaz-Oliván I, Gutiérrez-Rojas L, Dunne H, Moreno M, Baca-García E. Apps for Depression: Are They Ready to Work?. Current Psychiatry Reports 2020;22(3) View
  2. Ben Allouch S, Boonstra J. The development and implementation of a mobile application in human services. Journal of Technology in Human Services 2019;37(2-3):159 View
  3. Inal Y, Wake J, Guribye F, Nordgreen T. Usability Evaluations of Mobile Mental Health Technologies: Systematic Review. Journal of Medical Internet Research 2020;22(1):e15337 View
  4. Piao M, Ryu H, Lee H, Kim J. Use of the Healthy Lifestyle Coaching Chatbot App to Promote Stair-Climbing Habits Among Office Workers: Exploratory Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(5):e15085 View
  5. Merkouris S, Hawker C, Rodda S, Youssef G, Dowling N. GamblingLess: Curb Your Urge: Development and usability testing of a smartphone-delivered ecological momentary intervention for problem gambling. International Gambling Studies 2020;20(3):515 View
  6. Miralles I, Granell C, Díaz-Sanahuja L, Van Woensel W, Bretón-López J, Mira A, Castilla D, Casteleyn S. Smartphone Apps for the Treatment of Mental Disorders: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e14897 View
  7. Garrido S, Cheers D, Boydell K, Nguyen Q, Schubert E, Dunne L, Meade T. Young People's Response to Six Smartphone Apps for Anxiety and Depression: Focus Group Study. JMIR Mental Health 2019;6(10):e14385 View
  8. Linardon J, Shatte A, Rosato J, Fuller-Tyszkiewicz M. Efficacy of a transdiagnostic cognitive-behavioral intervention for eating disorder psychopathology delivered through a smartphone app: a randomized controlled trial. Psychological Medicine 2022;52(9):1679 View
  9. Willems S, Coppieters M, Pronk Y, Diks M, van der Heijden K, Rooker S, Scholten-Peeters G. A Clinical Journey Mobile Health App for Perioperative Patients: Cross-sectional Study. JMIR Human Factors 2021;8(1):e20694 View
  10. 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
  11. Sadeh-Sharvit S, Hollon S. Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study. JMIR Mental Health 2020;7(11):e20646 View
  12. Prior K, Salemink E, Wiers R, Teachman B, Piggott M, Newton N, Teesson M, Baillie A, Campbell S, Stapinski L. Acceptability and Co‐Development of an Online Cognitive Bias Modification Intervention for Emerging Adults With Hazardous Alcohol Use and Social Anxiety: A Mixed Methods Study. Alcoholism: Clinical and Experimental Research 2020;44(11):2283 View
  13. Liu Y, Hankey J, Lou N, Chokka P, Harley J. Usability and Emotions of Mental Health Assessment Tools: Comparing Mobile App and Paper-and-Pencil Modalities. Journal of Technology in Human Services 2021;39(2):193 View
  14. Everitt N, Broadbent J, Richardson B, Smyth J, Heron K, Teague S, Fuller-Tyszkiewicz M. Exploring the features of an app-based just-in-time intervention for depression. Journal of Affective Disorders 2021;291:279 View
  15. Patoz M, Hidalgo-Mazzei D, Pereira B, Blanc O, de Chazeron I, Murru A, Verdolini N, Pacchiarotti I, Vieta E, Llorca P, Samalin L. Patients’ adherence to smartphone apps in the management of bipolar disorder: a systematic review. International Journal of Bipolar Disorders 2021;9(1) View
  16. Mitchell K, Holtz B, McCarroll A. Assessing College Students' Perceptions of and Intentions to Use a Mobile App for Mental Health. Telemedicine and e-Health 2022;28(4):566 View
  17. Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, Hunt S. System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. JMIR mHealth and uHealth 2022;10(8):e37290 View
  18. Linardon J, King T, Shatte A, Fuller-Tyszkiewicz M. Usability Evaluation of a Cognitive-Behavioral App-Based Intervention for Binge Eating and Related Psychopathology: A Qualitative Study. Behavior Modification 2022;46(5):1002 View
  19. Weermeijer J, Kiekens G, Wampers M, Kuppens P, Myin-Germeys I. Practitioner perspectives on the use of the experience sampling software in counseling and clinical psychology. Behaviour & Information Technology 2024;43(3):540 View
  20. Zhang H, Liao Y, Han X, Fan B, Liu Y, Lui L, Lee Y, Subramaniapillai M, Li L, Guo L, Lu C, McIntyre R. Screening Depressive Symptoms and Incident Major Depressive Disorder Among Chinese Community Residents Using a Mobile App–Based Integrated Mental Health Care Model: Cohort Study. Journal of Medical Internet Research 2022;24(5):e30907 View
  21. Polhemus A, Simblett S, Dawe-Lane E, Gilpin G, Elliott B, Jilka S, Novak J, Nica R, Temesi G, Wykes T. Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews. JMIR Human Factors 2022;9(4):e40133 View
  22. Oakley-Girvan I, Yunis R, Longmire M, Ouillon J. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health 2021 View
  23. Mayer G, Hummel S, Oetjen N, Gronewold N, Bubolz S, Blankenhagel K, Slawik M, Zarnekow R, Hilbel T, Schultz J. User experience and acceptance of patients and healthy adults testing a personalized self-management app for depression: A non-randomized mixed-methods feasibility study. DIGITAL HEALTH 2022;8:205520762210913 View
  24. Park D, Kim H. Determinants of Intentions to Use Digital Mental Healthcare Content among University Students, Faculty, and Staff: Motivation, Perceived Usefulness, Perceived Ease of Use, and Parasocial Interaction with AI Chatbot. Sustainability 2023;15(1):872 View
  25. Kim S. A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities. International Journal of Environmental Research and Public Health 2022;19(18):11166 View
  26. Sifat M, Saperstein S, Tasnim N, Green K. Motivations Toward Using Digital Health and Exploring the Possibility of Using Digital Health for Mental Health in Bangladesh University Students: Cross-sectional Questionnaire Study. JMIR Formative Research 2022;6(3):e34901 View
  27. Oyebode O, Orji R. Persuasive strategy implementation choices and their effectiveness: towards personalised persuasive systems. Behaviour & Information Technology 2023;42(13):2176 View
  28. Polhemus A, Novak J, Majid S, Simblett S, Morris D, Bruce S, Burke P, Dockendorf M, Temesi G, Wykes T. Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives. JMIR Mental Health 2022;9(4):e25249 View
  29. Hentati A, Forsell E, Ljótsson B, Lindefors N, Kraepelien M. A self-guided and monitored digital problem-solving intervention for patients with symptoms of depression or anxiety on the waiting list for treatment in routine psychiatric care: feasibility study. BJPsych Open 2022;8(2) View
  30. Sifat M, Tasnim N, Stoebenau K, Green K. A qualitative exploration of university student perspectives on mindfulness-based stress reduction exercises via smartphone app in Bangladesh. International Journal of Qualitative Studies on Health and Well-being 2022;17(1) View
  31. Tong F, Lederman R, D'Alfonso S, Berry K, Bucci S. Digital Therapeutic Alliance With Fully Automated Mental Health Smartphone Apps: A Narrative Review. Frontiers in Psychiatry 2022;13 View
  32. Williams J, Pykett J. Mental health monitoring apps for depression and anxiety in children and young people: A scoping review and critical ecological analysis. Social Science & Medicine 2022;297:114802 View
  33. Molloy A, Anderson P. Engagement with mobile health interventions for depression: A systematic review. Internet Interventions 2021;26:100454 View
  34. McCue M, Khatib R, Kabir C, Blair C, Fehnert B, King J, Spalding A, Zaki L, Chrones L, Roy A, Kemp D. User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study. JMIR Human Factors 2023;10:e42768 View
  35. Bui E, Blackburn A, Brenner L, Laifer L, Park E, Denninger J, Spencer T, Fricchione G, Sylvia L. A novel mind-body podcast program for military and veteran caregivers. International Journal of Mental Health 2023:1 View
  36. Moulaei K, Bahaadinbeigy K, Mashoof E, Dinari F. Design and development of a mobile-based self-care application for patients with depression and anxiety disorders. BMC Medical Informatics and Decision Making 2023;23(1) View
  37. Hornstein S, Zantvoort K, Lueken U, Funk B, Hilbert K. Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms. Frontiers in Digital Health 2023;5 View
  38. Ribaut J, DeVito Dabbs A, Dobbels F, Teynor A, Mess E, Hoffmann T, De Geest S. Developing a comprehensive list of criteria to assess and evaluate the characteristics and quality of eHealth smartphone applications: Systematic review (Preprint). JMIR mHealth and uHealth 2023 View
  39. Chan G, Alslaity A, Wilson R, Orji R. Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps. International Journal of Human–Computer Interaction 2023:1 View
  40. Butler M, D’Angelo S, Ahn H, Chandereng T, Miller D, Perrin A, Romain A, Scatoni A, Friel C, Cheung Y, Davidson K. A Series of Personalized Virtual Light Therapy Interventions for Fatigue: Feasibility Randomized Crossover Trial for N-of-1 Treatment. JMIR Formative Research 2023;7:e45510 View
  41. Workman A, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Johnston F, Jones P, Ayatollahi H. Understanding the perspectives and needs of multiple stakeholders: Identifying key elements of a digital health intervention to protect against environmental hazards. PLOS Digital Health 2024;3(1):e0000444 View
  42. Shi L, Li X, Win K. Investigating mobile persuasive design for mental wellness: A cross-domain analysis. International Journal of Medical Informatics 2024;185:105353 View
  43. Chao Z, Chao Z, Fan X, Kim T. Usability Analysis of the Interface Design for Older Adults : A Case Study based on the Jingdong App. Archives of Design Research 2024;37(1):259 View
  44. Oyebode O, Steeves D, Orji R. Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems. User Modeling and User-Adapted Interaction 2024 View
  45. Simblett S, Dawe-Lane E, Gilpin G, Morris D, White K, Erturk S, Devonshire J, Lees S, Zorbas S, Polhemus A, Temesi G, Cummins N, Hotopf M, Wykes T. Data visualization preferences in remote measurement technology for individuals living with depression, epilepsy, and multiple sclerosis: a qualitative study (Preprint). Journal of Medical Internet Research 2022 View
  46. Adler R, Baez K, Morales P, Sotelo J, Victorson D, Magasi S. Evaluating the Usability of an mHealth App for Empowering Cancer Survivors With Disabilities: Heuristic Evaluation and Usability Testing. JMIR Human Factors 2024;11:e51522 View
  47. Ndulue C, Orji R. The Impact of Persuasive Framing on the Perceived Effectiveness of a Game for Behaviour Change. International Journal of Human–Computer Interaction 2024:1 View
  48. Omylinska Thurston J, Aithal S, Liverpool S, Clark R, Moula Z, Wood J, Viliardos L, Rodríguez-Dorans E, Farish-Edwards F, Parsons A, Eisenstadt M, Bull M, Dubrow-Marshall L, Thurston S, Karkou V. Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis (Preprint). JMIR Mental Health 2023 View

Books/Policy Documents

  1. Blankenhagel K, Werner J, Mayer G, Schultz J, Zarnekow R. Wireless Mobile Communication and Healthcare. View
  2. Oyebode O, Alqahtani F, Orji R. Persuasive Technology. View
  3. Donker T, Heinrichs M. Handbook of Cognitive Behavioral Therapy by Disorder. View
  4. Baharum A, Abdul Aziz S, Mat Zain N. Intelligent Computing. View