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Citing this Article

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Published on 06.06.18 in Vol 20, No 6 (2018): June

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

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

Katarzyna Stawarz, Chris Preist, Debbie Tallon, Nicola Wiles, David Coyle

J Med Internet Res 2018 (Jun 06); 20(6):e10120 

According to Crossref, the following articles are citing this article (DOI 10.2196/10120):

(note that this is only a small subset of citations)

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  12. Widnall E, Grant CE, 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
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  13. Minen MT, 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
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  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
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  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
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  31. Borrione L, Suen PJC, Razza LB, Santos LAD, Sudbrack-Oliveira P, Brunoni AR. 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
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  33. Ha SW, 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
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  34. Bowie-DaBreo D, Sünram-Lea SI, 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
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  35. Castle EM, Greenwood J, Chilcot J, Greenwood SA. 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
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  36. Callan JA, Dunbar Jacob J, Siegle GJ, Dey A, Thase ME, 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
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  37. Schueller SM, Armstrong CM, Neary M, Ciulla RP. An Introduction to Core Competencies for the Use of Mobile Apps in Cognitive and Behavioral Practice. Cognitive and Behavioral Practice 2022;29(1):69
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  38. Čuš A, Edbrooke-Childs J, Ohmann S, Plener PL, 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;
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  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
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  40. Henson P, Peck P, Torous J. Considering the Therapeutic Alliance in Digital Mental Health Interventions. Harvard Review of Psychiatry 2019;27(4):268
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  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
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  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
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  43. Čuš A, Edbrooke-Childs J, Ohmann S, Plener PL, 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
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  44. Lukas CA, Eskofier B, Berking M. A Gamified Smartphone-Based Intervention for Depression: Randomized Controlled Pilot Trial. JMIR Mental Health 2021;8(7):e16643
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  45. Martinengo L, Stona A, Griva K, Dazzan P, Pariante CM, 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
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  46. Mushquash AR, Pearson ES, 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
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  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)
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  48. Dinkel D, Harsh Caspari J, Fok L, Notice M, Johnson DJ, 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
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  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
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  50. Patterson VC, Rossi MA, 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
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  51. Zuo W, Mu B, Fang H, Wan Y. User Experience: A Bibliometric Review of the Literature. IEEE Access 2023;11:12663
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  52. Rahman TFA, Nayan NM. 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
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  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
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  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
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  55. Agachi E, Bijmolt THA, van Ittersum K, Mierau JO. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033
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  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
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  57. Funnell EL, Spadaro B, Benacek J, Martin-Key NA, 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
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  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
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  59. Six SG, Byrne KA, Aly H, Harris MW. The Effect of Mental Health App Customization on Depressive Symptoms in College Students: Randomized Controlled Trial. JMIR Mental Health 2022;9(8):e39516
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  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
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  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
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  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
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  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
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  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
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  65. Kaveladze BT, Wasil AR, Bunyi JB, Ramirez V, Schueller SM. 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
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  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
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  67. Balaskas A, Schueller SM, Cox AL, 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
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  4. Branco R, Neves M, Noriega P, Casais M. Advances in Design and Digital Communication. 2021. Chapter 3:23
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