Published on in Vol 20, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10120, first published .
User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews

Journals

  1. Henson P, Wisniewski H, Hollis C, Keshavan M, Torous J. Digital mental health apps and the therapeutic alliance: initial review. BJPsych Open 2019;5(1) View
  2. Marshall J, Dunstan D, Bartik W. Apps With Maps—Anxiety and Depression Mobile Apps With Evidence-Based Frameworks: Systematic Search of Major App Stores. JMIR Mental Health 2020;7(6):e16525 View
  3. Minen M, Gumpel T, Ali S, Sow F, Toy K. What are Headache Smartphone Application (App) Users Actually Looking for in Apps: A Qualitative Analysis of App Reviews to Determine a Patient Centered Approach to Headache Smartphone Apps. Headache: The Journal of Head and Face Pain 2020;60(7):1392 View
  4. Schlage J, Perich T. Mental health mobile application usage in young adults with a family history of mental illness. Australian Psychologist 2020;55(6):660 View
  5. Gindidis S, Stewart S, Roodenburg J. Psychologists’ motivations for integrating apps into therapy with secondary school-aged young people. Journal of Psychologists and Counsellors in Schools 2020;30(1):2 View
  6. Villalobos-Zúñiga G, Cherubini M. Apps That Motivate: a Taxonomy of App Features Based on Self-Determination Theory. International Journal of Human-Computer Studies 2020;140:102449 View
  7. Galvin H, DeMuro P. Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019. Yearbook of Medical Informatics 2020;29(01):032 View
  8. Huberty J, Eckert R, Puzia M, Laird B, Larkey L, Mesa R. A Novel Educational Control Group Mobile App for Meditation Interventions: Single-Group Feasibility Trial. JMIR Formative Research 2020;4(7):e19364 View
  9. Kellett S, Easton K, Cooper M, Millings A, Simmonds-Buckley M, Parry G. Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series. JMIR Mental Health 2020;7(12):e19888 View
  10. Chiauzzi E, Newell A. Mental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage. JMIR Mental Health 2019;6(4):e12292 View
  11. Alenazi H, Jamal A, Batais M. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083 View
  12. Widnall E, Grant C, Wang T, Cross L, Velupillai S, Roberts A, Stewart R, Simonoff E, Downs J. User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis. JMIR mHealth and uHealth 2020;8(10):e18140 View
  13. Minen M, Jaran J, Boyers T, Corner S. Understanding What People With Migraine Consider to be Important Features of Migraine Tracking: An Analysis of the Utilization of Smartphone‐Based Migraine Tracking With a Free‐Text Feature. Headache: The Journal of Head and Face Pain 2020;60(7):1402 View
  14. DeForte S, Huang Y, Bourgeois T, Hussain S, Lin S. The Association Between App-Administered Depression Assessments and Suicidal Ideation in User Comments: Retrospective Observational Study. JMIR mHealth and uHealth 2020;8(8):e18392 View
  15. Zhang R, Nicholas J, Knapp A, Graham A, Gray E, Kwasny M, Reddy M, Mohr D. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644 View
  16. Stawarz K, Preist C, Coyle D. Use of Smartphone Apps, Social Media, and Web-Based Resources to Support Mental Health and Well-Being: Online Survey. JMIR Mental Health 2019;6(7):e12546 View
  17. Baumel A, Torous J, Edan S, Kane J. There is a non-evidence-based app for that: A systematic review and mixed methods analysis of depression- and anxiety-related apps that incorporate unrecognized techniques. Journal of Affective Disorders 2020;273:410 View
  18. Borjalilu S, Mazaheri M, Talebpour A. Effectiveness of Mindfulness-Based Stress Management in The Mental Health of Iranian University Students: A Comparison of Blended Therapy, Face-to-Face Sessions, and mHealth App (Aramgar). Iranian Journal of Psychiatry and Behavioral Sciences 2019;13(2) View
  19. Marshall J, Dunstan D, Bartik W. Clinical or gimmickal: The use and effectiveness of mobile mental health apps for treating anxiety and depression. Australian & New Zealand Journal of Psychiatry 2020;54(1):20 View
  20. Connolly S, Hogan T, Shimada S, Miller C. Leveraging Implementation Science to Understand Factors Influencing Sustained Use of Mental Health Apps: a Narrative Review. Journal of Technology in Behavioral Science 2020 View
  21. Qu C, Sas C, Daudén Roquet C, Doherty G. Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation. JMIR Mental Health 2020;7(1):e15321 View
  22. Gewirtz A, Minen M. Adherence to Behavioral Therapy for Migraine: Knowledge to Date, Mechanisms for Assessing Adherence, and Methods for Improving Adherence. Current Pain and Headache Reports 2019;23(1) View
  23. Ning P, Cheng P, Schwebel D, Yang Y, Yu R, Deng J, Li S, Hu G. An App-Based Intervention for Caregivers to Prevent Unintentional Injury Among Preschoolers: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(8):e13519 View
  24. Smyth A, de Bloom J, Syrek C, Domin M, Janneck M, Reins J, Lehr D. Efficacy of a smartphone-based intervention — “Holidaily” — promoting recovery behaviour in workers after a vacation: study protocol for a randomised controlled trial. BMC Public Health 2020;20(1) View
  25. Blandford A. HCI for health and wellbeing: Challenges and opportunities. International Journal of Human-Computer Studies 2019;131:41 View
  26. Rubeis G. E-mental health applications for depression: an evidence-based ethical analysis. European Archives of Psychiatry and Clinical Neuroscience 2020 View
  27. Ta V, Griffith C, Boatfield C, Wang X, Civitello M, Bader H, DeCero E, Loggarakis A. User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis. Journal of Medical Internet Research 2020;22(3):e16235 View
  28. Moberg C, Niles A, Beermann D. Guided Self-Help Works: Randomized Waitlist Controlled Trial of Pacifica, a Mobile App Integrating Cognitive Behavioral Therapy and Mindfulness for Stress, Anxiety, and Depression. Journal of Medical Internet Research 2019;21(6):e12556 View
  29. Parsons C, Madsen M, Jensen K, Kæseler S, Fjorback L, Piet J, Roepstorff A, Linehan C. Smartphone Monitoring of Participants’ Engagement With Home Practice During Mindfulness-Based Stress Reduction: Observational Study. JMIR Mental Health 2020;7(1):e14467 View
  30. Morton E, Hole R, Murray G, Buzwell S, Michalak E. Experiences of a Web-Based Quality of Life Self-Monitoring Tool for Individuals With Bipolar Disorder: A Qualitative Exploration. JMIR Mental Health 2019;6(12):e16121 View
  31. Borrione L, Suen P, Razza L, Santos L, Sudbrack-Oliveira P, Brunoni A. The Flow brain stimulation headset for the treatment of depression: overview of its safety, efficacy and portable design. Expert Review of Medical Devices 2020;17(9):867 View
  32. Muroff J, Robinson W. Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice. Cognitive and Behavioral Practice 2020 View
  33. Ha S, Kim J. Designing a Scalable, Accessible, and Effective Mobile App Based Solution for Common Mental Health Problems. International Journal of Human–Computer Interaction 2020;36(14):1354 View
  34. Bowie-DaBreo D, Sünram-Lea S, Sas C, Iles-Smith H. Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis. JMIR Formative Research 2020;4(11):e14988 View
  35. Castle E, Greenwood J, Chilcot J, Greenwood S. Usability and experience testing to refine an online intervention to prevent weight gain in new kidney transplant recipients. British Journal of Health Psychology 2021;26(1):232 View
  36. Callan J, Dunbar Jacob J, Siegle G, Dey A, Thase M, DeVito Dabbs A, Kazantzis N, Rotondi A, Tamres L, Van Slyke A, Sereika S. CBT MobileWork©: User-Centered Development and Testing of a Mobile Mental Health Application for Depression. Cognitive Therapy and Research 2020 View
  37. Schueller S, Armstrong C, Neary M, Ciulla R. An Introduction to Core Competencies for the Use of Mobile Apps in Cognitive and Behavioral Practice. Cognitive and Behavioral Practice 2021 View
  38. Čuš A, Edbrooke-Childs J, Ohmann S, Plener P, Akkaya-Kalayci T. “Smartphone apps are cool, but do they help me?” A thematic analysis of adolescents’ expectations on apps to manage Nonsuicidal Self-injury (Preprint). JMIR Pediatrics and Parenting 2020 View
  39. Gessa A, Jiménez A, Sancha P. Open Innovation in Digital Healthcare: Users’ Discrimination between Certified and Non-Certified mHealth Applications. Journal of Open Innovation: Technology, Market, and Complexity 2020;6(4):130 View
  40. Henson P, Peck P, Torous J. Considering the Therapeutic Alliance in Digital Mental Health Interventions. Harvard Review of Psychiatry 2019;27(4):268 View
  41. Zucchelli F, Donnelly O, Rush E, Smith H, Williamson H. Designing an mHealth intervention based on Acceptance and Commitment Therapy for people with visible differences: A participatory study involving stakeholders with clinical and lived experience. (Preprint). JMIR Formative Research 2020 View
  42. Fagernäs S, Hamilton W, Espinoza N, Miloff A, Carlbring P, Lindner P. What do users think about Virtual Reality relaxation applications? A mixed methods study of online user reviews using natural language processing. Internet Interventions 2021;24:100370 View

Books/Policy Documents

  1. Sharma T, Bashir M. HCI for Cybersecurity, Privacy and Trust. View
  2. Ebben M, Murphy J. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. View
  3. Van Meter A, Youngstrom E. Handbook of Evidence-Based Therapies for Children and Adolescents. View
  4. Branco R, Neves M, Noriega P, Casais M. Advances in Design and Digital Communication. View