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 2021;6(2):184 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 2021;271(3):549 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 2022;29(1):81 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 2021;45(2):287 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 2022;29(1):69 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 for People With Visible Differences Based on Acceptance and Commitment Therapy: Participatory Study Gaining Stakeholders’ Input. JMIR Formative Research 2021;5(3):e26355 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
  43. Čuš A, Edbrooke-Childs J, Ohmann S, Plener P, Akkaya-Kalayci T. “Smartphone Apps Are Cool, But Do They Help Me?”: A Qualitative Interview Study of Adolescents’ Perspectives on Using Smartphone Interventions to Manage Nonsuicidal Self-Injury. International Journal of Environmental Research and Public Health 2021;18(6):3289 View
  44. Lukas C, Eskofier B, Berking M. A Gamified Smartphone-Based Intervention for Depression: Randomized Controlled Pilot Trial. JMIR Mental Health 2021;8(7):e16643 View
  45. Martinengo L, Stona A, Griva K, Dazzan P, Pariante C, von Wangenheim F, Car J. Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence. Journal of Medical Internet Research 2021;23(7):e27619 View
  46. Mushquash A, Pearson E, Waddington K, MacIsaac A, Mohammed S, Grassia E, Smith S, Wekerle C. User Perspectives on a Resilience-Building App (JoyPop): Qualitative Study. JMIR mHealth and uHealth 2021;9(7):e28677 View
  47. Gessa A, Sancha P, Jiménez A. Quality Assessment of Health-apps using a Public Agency Quality and Safety Seal. The Appsaludable Case. Journal of Medical Systems 2021;45(7) View
  48. Dinkel D, Harsh Caspari J, Fok L, Notice M, Johnson D, Watanabe-Galloway S, Emerson M. A qualitative exploration of the feasibility of incorporating depression apps into integrated primary care clinics. Translational Behavioral Medicine 2021;11(9):1708 View
  49. Denecke K, Schmid N, Nüssli S. Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(3):e27791 View
  50. Patterson V, Rossi M, Pencer A, Wozney L. An Internet-Based Cognitive Behavioral Therapy Program for Anxiety and Depression (Tranquility): Adaptation Co-design and Fidelity Evaluation Study. JMIR Formative Research 2022;6(2):e33374 View
  51. Zuo W, Mu B, Fang H, Wan Y. User Experience: A Bibliometric Review of the Literature. IEEE Access 2023;11:12663 View
  52. Rahman T, Nayan N. Text Messages for Depression, Anxiety and Alcohol Abuse Therapy—Are Construction Guidelines Needed?. International Journal of Environmental Research and Public Health 2022;19(23):15701 View
  53. Ahmed A, Aziz S, Khalifa M, Shah U, Hassan A, Abd-Alrazaq A, Househ M. Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach. JMIR Formative Research 2022;6(3):e27654 View
  54. Nitkowski J, Pitts M. Qualitative analysis of user reviews from Nurx and Planned Parenthood Direct: what user experiences reveal about telecontraception apps. Sexual Health 2022;19(5):417 View
  55. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  56. Evans K, Donelan J, Rennick-Egglestone S, Cox S, Kuipers Y. Review of Mobile Apps for Women With Anxiety in Pregnancy: Maternity Care Professionals’ Guide to Locating and Assessing Anxiety Apps. Journal of Medical Internet Research 2022;24(3):e31831 View
  57. Funnell E, Spadaro B, Benacek J, Martin-Key N, Metcalfe T, Olmert T, Barton-Owen G, Bahn S. Learnings from user feedback of a novel digital mental health assessment. Frontiers in Psychiatry 2022;13 View
  58. Wang L, Miller L. Assessment and Disruption of Ruminative Episodes to Enhance Mobile Cognitive Behavioral Therapy Just-in-Time Adaptive Interventions in Clinical Depression: Pilot Randomized Controlled Trial. JMIR Formative Research 2023;7:e37270 View
  59. Six S, Byrne K, Aly H, Harris M. The Effect of Mental Health App Customization on Depressive Symptoms in College Students: Randomized Controlled Trial. JMIR Mental Health 2022;9(8):e39516 View
  60. Eagle T, Mehrotra A, Sharma A, Zuniga A, Whittaker S. "Money Doesn't Buy You Happiness": Negative Consequences of Using the Freemium Model for Mental Health Apps. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  61. Du Y, Choe S, Vega J, Liu Y, Trujillo A. Listening to Stakeholders Involved in Speech-Language Therapy for Children With Communication Disorders: Content Analysis of Apple App Store Reviews. JMIR Pediatrics and Parenting 2022;5(1):e28661 View
  62. Lyngs U, Lukoff K, Csuka L, Slovák P, Van Kleek M, Shadbolt N. The Goldilocks level of support: Using user reviews, ratings, and installation numbers to investigate digital self-control tools. International Journal of Human-Computer Studies 2022;166:102869 View
  63. Abd-alrazaq A, Abuelezz I, Hassan A, AlSammarraie A, Alhuwail D, Irshaidat S, Abu Serhan H, Ahmed A, Alabed Alrazak S, Househ M. Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review. JMIR Serious Games 2022;10(4):e39840 View
  64. McCashin D, Coyle D, O'Reilly G. Pesky gNATs for children experiencing low mood and anxiety – A pragmatic randomised controlled trial of technology-assisted CBT in primary care. Internet Interventions 2022;27:100489 View
  65. Kaveladze B, Wasil A, Bunyi J, Ramirez V, Schueller S. User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews. JMIR Human Factors 2022;9(1):e30766 View
  66. Zucchelli F, Donnelly O, Rush E, White P, Gwyther H, Williamson H. An Acceptance and Commitment Therapy Prototype Mobile Program for Individuals With a Visible Difference: Mixed Methods Feasibility Study. JMIR Formative Research 2022;6(1):e33449 View
  67. Balaskas A, Schueller S, Cox A, Doherty G. The Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features. JMIR mHealth and uHealth 2021;9(10):e26712 View
  68. Dinour L, Pole A. Evaluation of Breastfeeding App Features: Content Analysis Study. JMIR Pediatrics and Parenting 2022;5(4):e37581 View
  69. Balaskas A, Schueller S, Cox A, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4 View
  70. Eagle T. Exploring Collective Medical Knowledge and Tensions in Online ADHD Communities. ACM SIGACCESS Accessibility and Computing 2023;(135):1 View
  71. 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
  72. Serrano-Ripoll M, Zamanillo-Campos R, Fiol-DeRoque M, Castro A, Ricci-Cabello I. Impact of Smartphone App–Based Psychological Interventions for Reducing Depressive Symptoms in People With Depression: Systematic Literature Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2022;10(1):e29621 View
  73. Funnell E, Spadaro B, Martin-Key N, Metcalfe T, Bahn S. mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis. Frontiers in Psychiatry 2022;13 View
  74. 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
  75. Kettle L, Lee Y. User Experiences of Well-Being Chatbots. Human Factors: The Journal of the Human Factors and Ergonomics Society 2024;66(6):1703 View
  76. Ebrahimi N, Mohammadzadeh N, Ayyoubzadeh S. Evaluation of overweight control applications with cognitive‐behavioral therapy approach: A systematic review. Health Science Reports 2023;6(3) View
  77. Stephenson C, Moghimi E, Gutierrez G, Jagayat J, Layzell G, Patel C, Omrani M, Alavi N. User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study. Internet Interventions 2023;32:100623 View
  78. Tong F, Lederman R, D'Alfonso S, Berry K, Bucci S. Conceptualizing the digital therapeutic alliance in the context of fully automated mental health apps: A thematic analysis. Clinical Psychology & Psychotherapy 2023;30(5):998 View
  79. Lukka L, Karhulahti V, Palva J. Factors Affecting Digital Tool Use in Client Interaction According to Mental Health Professionals: Interview Study. JMIR Human Factors 2023;10:e44681 View
  80. Tallon D, Thomas L, Brabyn S, Ching B, Hahn J, Jude B, X Logan M, Burrage A, Fox F, Gilbody S, Lanham P, Lewis G, Li J, MacNeill S, Nazareth I, Parrott S, Peters T, Shafran R, Turner K, Williams C, Kessler D, Wiles N. Integrated therapist and online CBT for depression in primary care (INTERACT): study protocol for a multi-centre randomised controlled trial. Trials 2023;24(1) View
  81. Hamideh Kerdar S, Gwiasda M, Berger B, Rathjens L, Schwarz S, Jenetzky E, Martin D. Predictors of sustained use of mobile health applications: Content analysis of user perspectives from a fever management app. DIGITAL HEALTH 2023;9 View
  82. Jefferies P, Dixon A, Ungar M. The Impact of a Mental Health Game (eQuoo) on the Resilience of Young Adults: A Case Series Study. Journal of Medical Psychology 2023;25(1):23 View
  83. Tate D, Dubrow‐Marshall L, Allely C. The development of the Cognitive Behavioural Social Competence Therapeutic Intervention for Adults with Autism: A mixed methods report. Counselling and Psychotherapy Research 2023 View
  84. Jo E, Kouaho W, Schueller S, Epstein D. Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews. JMIR Mental Health 2023;10:e49684 View
  85. Ramos N, Besoain F, Cancino N, Gallardo I, Albornoz P, Fresno A, Spencer R, Schott S, Núñez D, Salgado C, Campos S. Development of a Multiplatform Tool for the Prevention of Prevalent Mental Health Pathologies in Adults: Protocol for a Randomized Control Trial. JMIR Research Protocols 2024;13:e52324 View
  86. Qin Z, Ng S, Wu W, Zhang S. What Chinese Women Seek in Mental Health Apps: Insights from Analyzing Xiaohongshu User Posts during the COVID-19 Pandemic. Healthcare 2024;12(13):1297 View
  87. Ki E, Jang J, Kang D. Evaluating mobile mental health apps using the mobile application rating scale (MARS) in the U.S.. Advances in Mental Health 2024:1 View
  88. Heissler R, Jonáš J, Carre N, Mostovoy K, Bunge E, McDaniel B. Can AI Digital Personas for Well‐Being Provide Social Support? A Mixed‐Method Analysis of User Reviews. Human Behavior and Emerging Technologies 2024;2024(1) View
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  90. Munteanu T, Kannis-Dymand L, Millear P, Jones M. Analysis of cognitive behavioural therapy apps for generalised anxiety disorder: Evidence-based content and user experience. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2024;18(4) View
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  93. Chiu Y, Lee Y, Lin H, Cheng L. Exploring the Role of Mobile Apps for Insomnia in Depression: Systematic Review. Journal of Medical Internet Research 2024;26:e51110 View
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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
  5. Batterham P, Calear A, Kurz E. The Neuroscience of Depression. View
  6. Ebben M, Murphy J. Research Anthology on Privatizing and Securing Data. View
  7. Coziahr K, Stanley L, Perez-Litwin A, Lundberg C, Litwin A. Design, User Experience, and Usability: Design for Emotion, Well-being and Health, Learning, and Culture. View
  8. Wagener N, Duong T, Schöning J, Rogers Y, Niess J. Human-Computer Interaction – INTERACT 2021. View
  9. Martelletti P. Migraine in Medicine. View
  10. Goodings L, Ellis D, Tucker I. Understanding Mental Health Apps. View
  11. Ozolcer M, Yang Y, Kate S, Samant P, Bae S. The Proceedings of the 2024 Conference on Systems Engineering Research. View