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

Mobile Health (mhealth) (2974) Physician and Health Services Rating by Consumers (129) mHealth for Wellness, Behavior Change and Prevention (2912) Mobile Health in Psychiatry (435) Psychotic Disorders (162)

Published on in Vol 19, No 4 (2017): April

The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder

The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder

The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder

Authors of this article:

Jennifer Nicholas1, 2 Author Orcid Image ;   Andrea S Fogarty1 Author Orcid Image ;   Katherine Boydell1 Author Orcid Image ;   Helen Christensen1 Author Orcid Image
Article Authors Cited by (110) Tweetations (45) Metrics

Journals

  1. Bucci S, Morris R, Berry K, Berry N, Haddock G, Barrowclough C, Lewis S, Edge D. Early Psychosis Service User Views on Digital Technology: Qualitative Analysis. JMIR Mental Health 2018;5(4):e10091 View
  2. Alqahtani F, Orji R. Insights from user reviews to improve mental health apps. Health Informatics Journal 2020;26(3):2042 View
  3. Torous J, Firth J, Huckvale K, Larsen M, Cosco T, Carney R, Chan S, Pratap A, Yellowlees P, Wykes T, Keshavan M, Christensen H. The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps. Journal of Nervous & Mental Disease 2018;206(8):662 View
  4. Lemon C, Huckvale K, Carswell K, Torous J. A Narrative Review of Methods for Applying User Experience in the Design and Assessment of Mental Health Smartphone Interventions. International Journal of Technology Assessment in Health Care 2020;36(1):64 View
  5. Holdener M, Gut A, Angerer A. Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(1):e13244 View
  6. 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
  7. Switsers L, Dauwe A, Vanhoudt A, Van Dyck H, Lombaerts K, Oldenburg J. Users’ Perspectives on mHealth Self-Management of Bipolar Disorder: Qualitative Focus Group Study. JMIR mHealth and uHealth 2018;6(5):e108 View
  8. Raspa M, Fitzgerald T, Furberg R, Wylie A, Moultrie R, DeRamus M, Wheeler A, McCormack L. Mobile technology use and skills among individuals with fragile X syndrome: implications for healthcare decision making. Journal of Intellectual Disability Research 2018;62(10):821 View
  9. Aji M, Gordon C, Peters D, Bartlett D, Calvo R, Naqshbandi K, Glozier N. Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study. JMIR Mental Health 2019;6(5):e13895 View
  10. 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
  11. Nicholas J, Boydell K, Christensen H. Beyond symptom monitoring: Consumer needs for bipolar disorder self-management using smartphones. European Psychiatry 2017;44:210 View
  12. O'Brien H, Morton E, Kampen A, Barnes S, Michalak E. Beyond clicks and downloads: a call for a more comprehensive approach to measuring mobile-health app engagement. BJPsych Open 2020;6(5) View
  13. 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
  14. 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
  15. Arnold C, Williams A, Thomas N. Engaging With a Web-Based Psychosocial Intervention for Psychosis: Qualitative Study of User Experiences. JMIR Mental Health 2020;7(6):e16730 View
  16. Beldad A, Voutsas C. Understanding the Motivation to Write Reviews for Mobile Apps among German Users: Testing the Expanded Theory of Planned Behavior Using a Structural Equation Modeling Approach. Journal of Technology in Behavioral Science 2018;3(4):301 View
  17. Magee J, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Current Treatment Options in Psychiatry 2018;5(3):345 View
  18. Wilhelm S, Weingarden H, Ladis I, Braddick V, Shin J, Jacobson N. Cognitive-Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy 2020;51(1):1 View
  19. Oyebode O, Alqahtani F, Orji R. Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews. IEEE Access 2020;8:111141 View
  20. Michalak E, Morton E, Barnes S, Hole R, Murray G. Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study. JMIR Mental Health 2019;6(4):e13493 View
  21. Pinheiro M, Serra M, Pereira-Azevedo N. Predictors of the Number of Installs in Psychiatry Smartphone Apps: Systematic Search on App Stores and Content Analysis. JMIR Mental Health 2019;6(11):e15064 View
  22. Dewa L, Lavelle M, Pickles K, Kalorkoti C, Jaques J, Pappa S, Aylin P, Grundy Q. Young adults’ perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study. PLOS ONE 2019;14(9):e0222655 View
  23. 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
  24. Park J, Li J, Howren A, Tsao N, De Vera M. Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews. JMIR mHealth and uHealth 2019;7(1):e11919 View
  25. Lee Y, Cui Y, Tu M, Chen Y, Chang P. Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps. JMIR mHealth and uHealth 2018;6(4):e10173 View
  26. Morton E, Hou S, Fogarty O, Murray G, Barnes S, Depp C, Michalak E. A Web-Based Adaptation of the Quality of Life in Bipolar Disorder Questionnaire: Psychometric Evaluation Study. JMIR Mental Health 2020;7(4):e17497 View
  27. 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
  28. 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
  29. Mehrotra S, Tripathi R. Recent developments in the use of smartphone interventions for mental health. Current Opinion in Psychiatry 2018;31(5):379 View
  30. Larsen M, Huckvale K, Nicholas J, Torous J, Birrell L, Li E, Reda B. Using science to sell apps: Evaluation of mental health app store quality claims. npj Digital Medicine 2019;2(1) View
  31. Păsărelu C, Andersson G, Dobrean A. Attention-deficit/ hyperactivity disorder mobile apps: A systematic review. International Journal of Medical Informatics 2020;138:104133 View
  32. Berry N, Lobban F, Bucci S. A qualitative exploration of service user views about using digital health interventions for self-management in severe mental health problems. BMC Psychiatry 2019;19(1) View
  33. Jonathan G, Dopke C, Michaels T, Martin C, Adhikari K, Krakauer R, Ryan C, McBride A, Babington P, Frauenhofer E, Silver J, Capra C, Simon M, Begale M, Mohr D, Goulding E. User-Centered Development of LiveWell: A Smartphone Based Self-Management Intervention for Bipolar Disorder (Preprint). JMIR Mental Health 2020 View
  34. Liu J, Xu K, Zhu G, Zhang Q, Li X. Effects of smartphone-based interventions and monitoring on bipolar disorder: A systematic review and meta-analysis. World Journal of Psychiatry 2020;10(11):272 View
  35. Chan E, Sun Y, Aitchison K, Sivapalan S. Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review. JMIR Formative Research 2021;5(1):e13770 View
  36. Gordon-Smith K, Saunders K, Savage J, Craddock N, Jones I, Jones L. Have I argued with my family this week?”: What questions do those with lived experience choose to monitor their bipolar disorder?. Journal of Affective Disorders 2021;281:918 View
  37. Lobo E, Frølich A, Kensing F, Rasmussen L, Livingston P, Grundy J, Abdelrazek M. mHealth applications to support caregiver needs and engagement during stroke recovery: A content review. Research in Nursing & Health 2021;44(1):213 View
  38. 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
  39. 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
  40. Fellendorf F, Hamm C, Dalkner N, Platzer M, Sattler M, Bengesser S, Lenger M, Pilz R, Birner A, Queissner R, Tmava-Berisha A, Ratzenhofer M, Maget A, van Poppel M, Reininghaus E. Monitoring Sleep Changes via a Smartphone App in Bipolar Disorder: Practical Issues and Validation of a Potential Diagnostic Tool. Frontiers in Psychiatry 2021;12 View
  41. 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
  42. Fletcher K, Murray G. Towards tailored psychosocial intervention for BD-II: Lived experience perspectives on current and future management options. Journal of Affective Disorders 2021;289:110 View
  43. Al-Abbadey M, Fong M, Wilde L, Ingham R, Ghio D. Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application. DIGITAL HEALTH 2021;7 View
  44. 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
  45. 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
  46. 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
  47. Roth C, Papassotiropoulos A, Brühl A, Lang U, Huber C. Psychiatry in the Digital Age: A Blessing or a Curse?. International Journal of Environmental Research and Public Health 2021;18(16):8302 View
  48. Majid S, Reeves S, Figueredo G, Brown S, Lang A, Moore M, Morriss R. The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health 2021;8(12):e27991 View
  49. Magwood O, Saad A, Ranger D, Volpini K, Rukikamirera F, Haridas R, Sayfi S, Alexander J, Tan Y, Petkovic J, Pottie K. PROTOCOL: Mobile apps to reduce depressive symptoms and alcohol use in youth: A systematic review and meta‐analysis. Campbell Systematic Reviews 2022;18(1) View
  50. Hadi Mogavi R, Zhang Y, Haq E, Wu Y, Hui P, Ma X. What Do Users Think of Promotional Gamification Schemes? A Qualitative Case Study in a Question Answering Website. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  51. Akintolu M, Uleanya C, Letseka M. Examining key challenges in the programmes of adult community learning centres in KwaZulu-Natal. Journal of Adult and Continuing Education 2022;28(2):595 View
  52. Michalak E, Barnes S, Morton E, O'Brien H, Murray G, Hole R, Meyer D. Supporting Self-management and Quality of Life in Bipolar Disorder With the PolarUs App (Alpha): Protocol for a Mixed Methods Study. JMIR Research Protocols 2022;11(8):e36213 View
  53. Grundy Q. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117 View
  54. 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
  55. Alhur M, Alshamari S, Oláh J, Aldreabi H. Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps. International Journal of E-Services and Mobile Applications 2022;14(1):1 View
  56. 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
  57. Aljedaani B, Ahmad A, Zahedi M, Babar M. End-users’ knowledge and perception about security of clinical mobile health apps: A case study with two Saudi Arabian mHealth providers. Journal of Systems and Software 2023;195:111519 View
  58. 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
  59. Bendotti H, Lawler S, Ireland D, Gartner C, Hides L, Marshall H. What Do People Want in a Smoking Cessation App? An Analysis of User Reviews and App Quality. Nicotine & Tobacco Research 2022;24(2):169 View
  60. Kiskola J, Olsson T, Rantasila A, Syrjämäki A, Ilves M, Isokoski P, Surakka V. User-centred quality of UI interventions aiming to influence online news commenting behaviour. Behaviour & Information Technology 2023;42(12):2060 View
  61. Biviji R, Williams K, Vest J, Dixon B, Cullen T, Harle C. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403 View
  62. Ko S, Lee J, An D, Woo H. Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study. JMIR mHealth and uHealth 2023;11:e40921 View
  63. Fletcher K, Lindblom K, Seabrook E, Foley F, Murray G. Pilot Testing in the Wild: Feasibility, Acceptability, Usage Patterns, and Efficacy of an Integrated Web and Smartphone Platform for Bipolar II Disorder. JMIR Formative Research 2022;6(5):e32740 View
  64. Ryan K, Smith S, Yocum A, Carley I, Liebrecht C, Navis B, Vest E, Bertram H, McInnis M, Kilbourne A. The Life Goals Self-Management Mobile App for Bipolar Disorder: Consumer Feasibility, Usability, and Acceptability Study. JMIR Formative Research 2021;5(12):e32450 View
  65. Geerling B, Lolkema E, Kelders S, Stevens A, Kupka R, Bohlmeijer E. Why patients diagnosed with bipolar disorder start, continue or discontinue health‐related apps supporting their self‐management. Journal of Psychiatric and Mental Health Nursing 2023;30(3):537 View
  66. Alghareeb M, Albesher A, Asif A. Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia. Sustainability 2023;15(2):956 View
  67. Malik T, Ambrose A, Sinha C. Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis. JMIR Human Factors 2022;9(2):e35668 View
  68. Morton E, Nicholas J, Yang L, Lapadat L, Barnes S, Provencher M, Depp C, Chan M, Kulur R, Michalak E. Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management. International Journal of Bipolar Disorders 2022;10(1) View
  69. 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
  70. Ortiz A, Maslej M, Husain M, Daskalakis Z, Mulsant B. Apps and gaps in bipolar disorder: A systematic review on electronic monitoring for episode prediction. Journal of Affective Disorders 2021;295:1190 View
  71. Alves-Oliveira P, Budhiraja T, So S, Karim R, Björling E, Cakmak M. Robot-mediated interventions for youth mental health. Design for Health 2022;6(2):138 View
  72. Polhemus A, Simblett S, Dawe Lane E, Elliott B, Jilka S, Negbenose E, Burke P, Weyer J, Novak J, Dockendorf M, Temesi G, Wykes T. Experiences of health tracking in mobile apps for multiple sclerosis: A qualitative content analysis of user reviews. Multiple Sclerosis and Related Disorders 2023;69:104435 View
  73. Karlsen I, Svendsen P, Abildgaard J. A review of smartphone applications designed to improve occupational health, safety, and well-being at workplaces. BMC Public Health 2022;22(1) View
  74. Steubl L, Reimann J, Simon L, Terhorst Y, Stach M, Baumeister H, Sander L, Messner E. A systematic quality rating of available mobile health apps for borderline personality disorder. Borderline Personality Disorder and Emotion Dysregulation 2022;9(1) View
  75. Gordon-Smith K, Saunders K, Morton T, Savage J, South M, Geddes J, Craddock N, Jones I, Jones L. User perspectives on long-term remote active electronic self-monitoring of mood symptoms in bipolar spectrum disorders. Journal of Affective Disorders 2023;324:325 View
  76. Balaskas A, Schueller S, Cox A, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4 View
  77. Haque M, Rubya S. "For an App Supposed to Make Its Users Feel Better, It Sure is a Joke" - An Analysis of User Reviews of Mobile Mental Health Applications. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  78. Haque M, Rubya S. An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews. JMIR mHealth and uHealth 2023;11:e44838 View
  79. 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
  80. Ganapathy A, Casey L, Rowland D, Grady A, Veale Sotheren K, Clough B. Methodological approaches in investigating barriers to digital mental health interventions use: a scoping review. Advances in Mental Health 2023:1 View
  81. Kim K, Au-Yeung A, Dagher D, Jacobs N, Martin-Hill D, Wekerle C. Exploring the relevance of a psychology-based resilience app (JoyPop™) for Indigenous youth. Child Abuse & Neglect 2024;148:106343 View
  82. Heydarian S, Shakiba A, Rostam Niakan Kalhori S. The Minimum Feature Set for Designing Mobile Apps to Support Bipolar Disorder-Affected Patients: Proposal of Essential Functions and Requirements. Journal of Healthcare Informatics Research 2023;7(2):254 View
  83. 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
  84. Ikwunne T, Hederman L, Wall P. DECENT: A sociotechnical approach for developing mobile health apps in underserved settings. DIGITAL HEALTH 2023;9 View
  85. Miller M, Davis C, McLean C. Perceptions and Experiences of Renew: an Exposure-Based Mobile App for Posttraumatic Stress. Journal of Technology in Behavioral Science 2023;9(4):615 View
  86. David O, Iuga I, Miron I. Parenting: There is an app for that. A systematic review of parenting interventions apps. Children and Youth Services Review 2024;156:107385 View
  87. Goel A, Taneja U. Mobile health applications for health-care delivery: trends, opportunities, and challenges. Journal of Public Health 2023 View
  88. Alrizq M, Alghamdi A. Customer satisfaction analysis with Saudi Arabia mobile banking apps: a hybrid approach using text mining and predictive learning techniques. Neural Computing and Applications 2024;36(11):6005 View
  89. Darko A, Antwi C, Adjei K, Zhang B, Ren J. Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data. Expert Systems with Applications 2024;249:123647 View
  90. Magwood O, Saad A, Ranger D, Volpini K, Rukikamirera F, Haridas R, Sayfi S, Alexander J, Tan Y, Pottie K. Mobile apps to reduce depressive symptoms and alcohol use in youth: A systematic review and meta‐analysis. Campbell Systematic Reviews 2024;20(2) View
  91. Baffour-Ata F, Boakye L, Asare Okyere K, Boatemaa Boafo B, Amaniampong Ofosuhene S, Owusu Tawiah A, Odei I, Woriya Watara S. Smallholder farmers’ perceived motivations for the adoption and implementation of climate information services in the Atwima Nwabiagya District, Ghana. Climate Services 2024;34:100482 View
  92. 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
  93. Cormier M, Orr M, Kaser A, MacDonald H, Chorney J, Meier S. Sleep well, worry less: A co-design study for the development of the SMILE app. DIGITAL HEALTH 2024;10 View
  94. Herrijgers C, Verboon P, Florence E, Vandebosch H, Poels K, Platteau T. Assessing the Effectiveness of an mHealth Intervention to Support Men Who Have Sex With Men Engaging in Chemsex (Budd): Single-Case and Pre-Post Experimental Design Study. JMIR Formative Research 2024;8:e56606 View
  95. Austin S, Frøsig A, Buus N, Lincoln T, von Malachowski A, Schlier B, Frost M, Simonsen E. Service User Experiences of Integrating a Mobile Solution (IMPACHS) Into Clinical Treatment for Psychosis. Qualitative Health Research 2021;31(5):942 View
  96. Tzitiridou-Chatzopoulou M, Zournatzidou G. Bibliometric Analysis on of the Impact of Screening to Minimize Maternal Mental Health on Neonatal Outcomes: A Systematic Review. Journal of Clinical Medicine 2024;13(19):6013 View
  97. Rajeshkumar L, Mishkind M, Coleman J, Pahwa M, LaPreze D, Solenske S, Wright J. Computer-assisted Cognitive Behavior Therapy and Mobile Apps for Depression and Anxiety: Evidence-based Digital Tools for Clinical Practice. Journal of Psychiatric Practice 2024;30(6):389 View

Books/Policy Documents

  1. Barnes S, Prescott J. Digital Innovations for Mental Health Support. View
  2. Barnes S, Prescott J. Research Anthology on Game Design, Development, Usage, and Social Impact. View
  3. Alfaro J, Puyvelde P. Augmented Reality, Virtual Reality, and Computer Graphics. View
  4. González Bermúdez A, Bernardos A. Wireless Mobile Communication and Healthcare. View