Published on in Vol 19, No 1 (2017): January

IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety

IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety

IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety

Journals

  1. Forand N, Barnett J, Strunk D, Hindiyeh M, Feinberg J, Keefe J. Efficacy of Guided iCBT for Depression and Mediation of Change by Cognitive Skill Acquisition. Behavior Therapy 2018;49(2):295 View
  2. Torous J, Keshavan M. COVID-19, mobile health and serious mental illness. Schizophrenia Research 2020;218:36 View
  3. Baumel A, Fleming T, Schueller S. Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care. Journal of Medical Internet Research 2020;22(10):e20631 View
  4. Wright J, Mishkind M, Eells T, Chan S. Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety. Current Psychiatry Reports 2019;21(7) View
  5. Parga J, Bargar K, Monte S, Supranovich R, Brown D. Beyond the Online versus On-campus Debate: Leveraging Technology in a CoI Framework to Enhance Student and Faculty Presence in the MSW Classroom. Journal of Teaching in Social Work 2019;39(4-5):308 View
  6. Krusche M, Ruffer N, Grahammer M, Knitza J. Apps und ihre Anwendungsgebiete in der Rheumatologie. Zeitschrift für Rheumatologie 2020;79(6):554 View
  7. Moessner M, Bauer S. E-Mental-Health und internetbasierte Psychotherapie. Psychotherapeut 2017;62(3):251 View
  8. Setiawan I, Zhou L, Alfikri Z, Saptono A, Fairman A, Dicianno B, Parmanto B. An Adaptive Mobile Health System to Support Self-Management for Persons With Chronic Conditions and Disabilities: Usability and Feasibility Studies. JMIR Formative Research 2019;3(2):e12982 View
  9. Burgess E, Ringland K, Nicholas J, Knapp A, Eschler J, Mohr D, Reddy M. "I think people are powerful". Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  10. Wilhelm S, Weingarden H, Greenberg J, McCoy T, Ladis I, Summers B, Matic A, Harrison O. Development and Pilot Testing of a Cognitive-Behavioral Therapy Digital Service for Body Dysmorphic Disorder. Behavior Therapy 2020;51(1):15 View
  11. Orr L, Graham A, Mohr D, Greene C. Engagement and Clinical Improvement Among Older Adult Primary Care Patients Using a Mobile Intervention for Depression and Anxiety: Case Studies. JMIR Mental Health 2020;7(7):e16341 View
  12. Chow P. Developing Mental or Behavioral Health Mobile Apps for Pilot Studies by Leveraging Survey Platforms: A Do-it-Yourself Process. JMIR mHealth and uHealth 2020;8(4):e15561 View
  13. Marcelle E, Nolting L, Hinshaw S, Aguilera A. Effectiveness of a Multimodal Digital Psychotherapy Platform for Adult Depression: A Naturalistic Feasibility Study. JMIR mHealth and uHealth 2019;7(1):e10948 View
  14. Graham A, Greene C, Powell T, Lieponis P, Lunsford A, Peralta C, Orr L, Kaiser S, Alam N, Berhane H, Kalan O, Mohr D. Lessons learned from service design of a trial of a digital mental health service: Informing implementation in primary care clinics. Translational Behavioral Medicine 2020;10(3):598 View
  15. Schellong J, Lorenz P, Weidner K. Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms. European Journal of Psychotraumatology 2019;10(1) View
  16. Thieme A, Belgrave D, Doherty G. Machine Learning in Mental Health. ACM Transactions on Computer-Human Interaction 2020;27(5):1 View
  17. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87 View
  18. Torous J, Roux S. Patient-Driven Innovation for Mobile Mental Health Technology: Case Report of Symptom Tracking in Schizophrenia. JMIR Mental Health 2017;4(3):e27 View
  19. Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, Sarris J. The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials. World Psychiatry 2017;16(3):287 View
  20. Sucala M, Cuijpers P, Muench F, Cardoș R, Soflau R, Dobrean A, Achimas-Cadariu P, David D. Anxiety: There is an app for that. A systematic review of anxiety apps. Depression and Anxiety 2017;34(6):518 View
  21. Bry L, Chou T, Miguel E, Comer J. Consumer Smartphone Apps Marketed for Child and Adolescent Anxiety: A Systematic Review and Content Analysis. Behavior Therapy 2018;49(2):249 View
  22. Wright J, Mishkind M. Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care. FOCUS 2020;18(2):162 View
  23. Stawarz K, Preist C, Tallon D, Wiles N, Coyle D. User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews. Journal of Medical Internet Research 2018;20(6):e10120 View
  24. Powell A, Yue Z, Shan C, Torous J. The Monetization Strategies of Apps for Anxiety Management: an International Comparison. Journal of Technology in Behavioral Science 2019;4(2):67 View
  25. Vetter P, Vetter K. Frauengesundheit – was nutzen Apps?. Der Gynäkologe 2018;51(3):253 View
  26. Regidor N, Ausín B. Tecnologías de información y comunicación (TIC) aplicadas al tratamiento de los problemas de ansiedad. Clínica Contemporánea 2020;11(2) View
  27. Lipschitz J, Miller C, Hogan T, Burdick K, Lippin-Foster R, Simon S, Burgess J. Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement. JMIR Mental Health 2019;6(1):e11334 View
  28. Schueller S, Aguilera A, Mohr D. Ecological momentary interventions for depression and anxiety. Depression and Anxiety 2017;34(6):540 View
  29. Mohr D, Schueller S, Tomasino K, Kaiser S, Alam N, Karr C, Vergara J, Gray E, Kwasny M, Lattie E. Comparison of the Effects of Coaching and Receipt of App Recommendations on Depression, Anxiety, and Engagement in the IntelliCare Platform: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(8):e13609 View
  30. Buck B, Chander A, Ben-Zeev D. Clinical and demographic predictors of engagement in mobile health vs. clinic-based interventions for serious mental illness. Journal of Behavioral and Cognitive Therapy 2020;30(1):3 View
  31. Cheverda A, Andreeva E, Martin P. The effectiveness of the training program using sports dance tools for older preschool children. Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports) 2020;(3(123)):161 View
  32. Cai L, Boukhechba M, Gerber M, Barnes L, Showalter S, Cohn W, Chow P. An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients. Smart Health 2020;15:100086 View
  33. 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
  34. Chow P, Showalter S, Gerber M, Kennedy E, Brenin D, Schroen A, Mohr D, Lattie E, Cohn W. Use of Mental Health Apps by Breast Cancer Patients and Their Caregivers in the United States: Protocol for a Pilot Pre-Post Study. JMIR Research Protocols 2019;8(1):e11452 View
  35. 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
  36. Carleton K, Patel U, Stein D, Mou D, Mallow A, Blackmore M. Enhancing the scalability of the collaborative care model for depression using mobile technology. Translational Behavioral Medicine 2020;10(3):573 View
  37. Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526 View
  38. Wolf C, Ringland K. Designing accessible, explainable AI (XAI) experiences. ACM SIGACCESS Accessibility and Computing 2020;(125):1 View
  39. Aung M, Matthews M, Choudhury T. Sensing behavioral symptoms of mental health and delivering personalized interventions using mobile technologies. Depression and Anxiety 2017;34(7):603 View
  40. Stiles-Shields C, Montague E, Lattie E, Schueller S, Kwasny M, Mohr D. Exploring User Learnability and Learning Performance in an App for Depression: Usability Study. JMIR Human Factors 2017;4(3):e18 View
  41. Schueller S, Adkins E. Mobile Health Technologies to Deliver and Support Cognitive-Behavioral Therapy. Psychiatric Annals 2019;49(8):348 View
  42. 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
  43. Herrero R, Vara M, Miragall M, Botella C, García-Palacios A, Riper H, Kleiboer A, Baños R. Working Alliance Inventory for Online Interventions-Short Form (WAI-TECH-SF): The Role of the Therapeutic Alliance between Patient and Online Program in Therapeutic Outcomes. International Journal of Environmental Research and Public Health 2020;17(17):6169 View
  44. Cheung K, Ling W, Karr C, Weingardt K, Schueller S, Mohr D. Evaluation of a recommender app for apps for the treatment of depression and anxiety: an analysis of longitudinal user engagement. Journal of the American Medical Informatics Association 2018;25(8):955 View
  45. Bakker D, Rickard N. Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission. Australian Psychologist 2019;54(4):245 View
  46. Huckvale K, Nicholas J, Torous J, Larsen M. Smartphone apps for the treatment of mental health conditions: status and considerations. Current Opinion in Psychology 2020;36:65 View
  47. Kerst A, Zielasek J, Gaebel W. Smartphone applications for depression: a systematic literature review and a survey of health care professionals’ attitudes towards their use in clinical practice. European Archives of Psychiatry and Clinical Neuroscience 2020;270(2):139 View
  48. Costa J, Guimbretière F, Jung M, Choudhury T. BoostMeUp. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(2):1 View
  49. 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
  50. Lattie E, Kaiser S, Alam N, Tomasino K, Sargent E, Rubanovich C, Palac H, Mohr D. A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Identification of Efficient and Cost-Effective Methods for Decision Making (Part 2). Journal of Medical Internet Research 2018;20(11):e11050 View
  51. Gupta A, Ocker G, Chow P. Recruiting breast cancer patients for mHealth research: Obstacles to clinic-based recruitment for a mobile phone app intervention study. Clinical Trials 2020;17(6):675 View
  52. Schmidt I, Forand N, Strunk D. Predictors of Dropout in Internet-Based Cognitive Behavioral Therapy for Depression. Cognitive Therapy and Research 2019;43(3):620 View
  53. Graham A, Greene C, Kwasny M, Kaiser S, Lieponis P, Powell T, Mohr D. Coached Mobile App Platform for the Treatment of Depression and Anxiety Among Primary Care Patients. JAMA Psychiatry 2020;77(9):906 View
  54. Scharoun L, Davey R, Cochrane T, Mews G. Designing healthy futures: involving primary school children in the co-design of a health report card. International Journal of Design Creativity and Innovation 2019;7(4):237 View
  55. Forand N, Feinberg J, Barnett J, Strunk D. Guided internet CBT versus “gold standard” depression treatments: An individual patient analysis. Journal of Clinical Psychology 2019;75(4):581 View
  56. 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
  57. Oser M, Wallace M, Solano F, Szigethy E. Guided Digital Cognitive Behavioral Program for Anxiety in Primary Care: Propensity-Matched Controlled Trial. JMIR Mental Health 2019;6(4):e11981 View
  58. Park S, Andalibi N, Zou Y, Ambulkar S, Huh-Yoo J. Understanding Students’ Mental Well-Being Challenges on a University Campus: Interview Study. JMIR Formative Research 2020;4(3):e15962 View
  59. Birk M, Mandryk R. Improving the Efficacy of Cognitive Training for Digital Mental Health Interventions Through Avatar Customization: Crowdsourced Quasi-Experimental Study. Journal of Medical Internet Research 2019;21(1):e10133 View
  60. Ng M, Firth J, Minen M, Torous J. User Engagement in Mental Health Apps: A Review of Measurement, Reporting, and Validity. Psychiatric Services 2019;70(7):538 View
  61. Schueller S, Glover A, Rufa A, Dowdle C, Gross G, Karnik N, Zalta A. A Mobile Phone–Based Intervention to Improve Mental Health Among Homeless Young Adults: Pilot Feasibility Trial. JMIR mHealth and uHealth 2019;7(7):e12347 View
  62. 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
  63. Chow P, Showalter S, Gerber M, Kennedy E, Brenin D, Mohr D, Lattie E, Gupta A, Ocker G, Cohn W. Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study. JMIR Cancer 2020;6(1):e16476 View
  64. Rubanovich C, Mohr D, Schueller S. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22 View
  65. Hu X, Qian M, Cheng B, Cheung Y. Personalized Policy Learning Using Longitudinal Mobile Health Data. Journal of the American Statistical Association 2021;116(533):410 View
  66. Carl J, Miller C, Henry A, Davis M, Stott R, Smits J, Emsley R, Gu J, Shin O, Otto M, Craske M, Saunders K, Goodwin G, Espie C. Efficacy of digital cognitive behavioral therapy for moderate‐to‐severe symptoms of generalized anxiety disorder: A randomized controlled trial. Depression and Anxiety 2020;37(12):1168 View
  67. Kwasny M, Schueller S, Lattie E, Gray E, Mohr D. Exploring the Use of Multiple Mental Health Apps Within a Platform: Secondary Analysis of the IntelliCare Field Trial. JMIR Mental Health 2019;6(3):e11572 View
  68. Rootes-Murdy K, Glazer K, Van Wert M, Mondimore F, Zandi P. Mobile technology for medication adherence in people with mood disorders: A systematic review. Journal of Affective Disorders 2018;227:613 View
  69. Pagoto S, Tulu B, Agu E, Waring M, Oleski J, Jake-Schoffman D. Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(6):e145 View
  70. Hoffman L, Benedetto E, Huang H, Grossman E, Kaluma D, Mann Z, Torous J. Augmenting Mental Health in Primary Care: A 1-Year Study of Deploying Smartphone Apps in a Multi-site Primary Care/Behavioral Health Integration Program. Frontiers in Psychiatry 2019;10 View
  71. Stiles-Shields C, Montague E, Lattie E, Kwasny M, Mohr D. What might get in the way: Barriers to the use of apps for depression. DIGITAL HEALTH 2017;3:205520761771382 View
  72. Lattie E, Nicholas J, Knapp A, Skerl J, Kaiser S, Mohr D. Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(1):138 View
  73. 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
  74. Bidargaddi N, Schrader G, Klasnja P, Licinio J, Murphy S. Designing m-Health interventions for precision mental health support. Translational Psychiatry 2020;10(1) View
  75. Pung A, Fletcher S, Gunn J. Mobile App Use by Primary Care Patients to Manage Their Depressive Symptoms: Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10035 View
  76. Glover A, Schueller S, Winiarski D, Smith D, Karnik N, Zalta A. Automated Mobile Phone–Based Mental Health Resource for Homeless Youth: Pilot Study Assessing Feasibility and Acceptability. JMIR Mental Health 2019;6(10):e15144 View
  77. Powell A, Torous J, Firth J, Kaufman K. Generating value with mental health apps. BJPsych Open 2020;6(2) View
  78. Baumel A, Muench F, Edan S, Kane J. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research 2019;21(9):e14567 View
  79. 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
  80. Bauer A, Iles-Shih M, Ghomi R, Rue T, Grover T, Kincler N, Miller M, Katon W. Acceptability of mHealth augmentation of Collaborative Care: A mixed methods pilot study. General Hospital Psychiatry 2018;51:22 View
  81. Asif H, Hayee A, Aslam M, Ahmad K, Hashmi A. Dose-Dependent, Antidepressant, and Anxiolytic Effects of a Traditional Medicinal Plant for the Management of Behavioral Dysfunctions in Animal Models. Dose-Response 2019;17(4):155932581989126 View
  82. Chow P, Drago F, Kennedy E, Cohn W. A Novel Mobile Phone App Intervention With Phone Coaching to Reduce Symptoms of Depression in Survivors of Women’s Cancer: Pre-Post Pilot Study. JMIR Cancer 2020;6(1):e15750 View
  83. Lattie E, Graham A, Hadjistavropoulos H, Dear B, Titov N, Mohr D. Guidance on defining the scope and development of text-based coaching protocols for digital mental health interventions. DIGITAL HEALTH 2019;5:205520761989614 View
  84. Schueller S, Neary M, O'Loughlin K, Adkins E. Discovery of and Interest in Health Apps Among Those With Mental Health Needs: Survey and Focus Group Study. Journal of Medical Internet Research 2018;20(6):e10141 View
  85. Lattie E, Burgess E, Mohr D, Reddy M. Care Managers and Role Ambiguity: The Challenges of Supporting the Mental Health Needs of Patients with Chronic Conditions. Computer Supported Cooperative Work (CSCW) 2021;30(1):1 View
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  87. Hwang W, Ha J, Kim M. Research Trends on Mobile Mental Health Application for General Population: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(5):2459 View
  88. Pizarro-Ruiz J, Ordóñez-Camblor N, Del-Líbano M, Escolar-LLamazares M. Influence on Forgiveness, Character Strengths and Satisfaction with Life of a Short Mindfulness Intervention via a Spanish Smartphone Application. International Journal of Environmental Research and Public Health 2021;18(2):802 View
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  91. Henson P, Peck P, Torous J. Considering the Therapeutic Alliance in Digital Mental Health Interventions. Harvard Review of Psychiatry 2019;27(4):268 View
  92. Cohen K, Stiles-Shields C, Winquist N, Lattie E. Traditional and Nontraditional Mental Healthcare Services: Usage and Preferences Among Adolescents and Younger Adults. The Journal of Behavioral Health Services & Research 2021;48(4):537 View
  93. Lattie E, Cohen K, Winquist N, Mohr D. Examining an App-Based Mental Health Self-Care Program, IntelliCare for College Students: Single-Arm Pilot Study. JMIR Mental Health 2020;7(10):e21075 View
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  95. Khademian F, Aslani A, Bastani P. The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews. International Journal of Technology Assessment in Health Care 2021;37(1) View
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  98. Planas R, Yuguero O. Technological prescription: evaluation of the effectiveness of mobile applications to improve depression and anxiety. Systematic review. Informatics for Health and Social Care 2021;46(3):273 View
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  102. Lv Z, Piccialli F. The Security of Medical Data on Internet Based on Differential Privacy Technology. ACM Transactions on Internet Technology 2021;21(3):1 View
  103. Kocur M, Dechant M, Wolff C, Nothdurfter C, Wetter T, Rupprecht R, Shiban Y. Computer-Assisted Avatar-Based Treatment for Dysfunctional Beliefs in Depressive Inpatients: A Pilot Study. Frontiers in Psychiatry 2021;12 View
  104. Anton M, Greenberger H, Andreopoulos E, Pande R. Evaluation of a Commercial Mobile Health App for Depression and Anxiety (AbleTo Digital+): Retrospective Cohort Study. JMIR Formative Research 2021;5(9):e27570 View
  105. 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
  106. Durán L, Almeida A, Lopes A, Figueiredo-Braga M. Impact of a Digital Intervention for Literacy in Depression among Portuguese University Students: A Randomized Controlled Trial. Healthcare 2022;10(1):165 View
  107. Meyerhoff J, Nguyen T, Karr C, Reddy M, Williams J, Bhattacharjee A, Mohr D, Kornfield R. System design of a text messaging program to support the mental health needs of non-treatment seeking young adults. Procedia Computer Science 2022;206:68 View
  108. Meyerhoff J, Kornfield R, Mohr D, Reddy M. Meeting Young Adults' Social Support Needs across the Health Behavior Change Journey: Implications for Digital Mental Health Tools. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  109. Kriegshauser K, Sexton C, Bozsik F, Blossom J, Wiese A, Adams Larsen M, Hale L. The Feasibility of a Family-Focused CBT Skills Self-Help App. Cognitive and Behavioral Practice 2024;31(2):230 View
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  111. Wells K, Thames A, Young A, Zhang L, Heilemann M, Romero D, Oliva A, Jones F, Tang L, Brymer M, Elliott T, Arevian A. Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation. JMIR Formative Research 2022;6(12):e42031 View
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  113. Lee J, Schroeder J, Epstein D. Understanding and Supporting Self-Tracking App Selection. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(4):1 View
  114. Tekin C, Elahi S, van der Schaar M. Feedback Adaptive Learning for Medical and Educational Application Recommendation. IEEE Transactions on Services Computing 2022;15(4):2144 View
  115. VILLEMAIRE-KRAJDEN R, MYHR G. Evaluating the Use of a Computerized CBT Program for Outpatients on a Waitlist in a University CBT Unit. Journal of Psychiatric Practice 2019;25(4):268 View
  116. Zhou C, Dai Y, Huang T, Zhao H, Kaner J. An Empirical Study on the Influence of Smart Home Interface Design on the Interaction Performance of the Elderly. International Journal of Environmental Research and Public Health 2022;19(15):9105 View
  117. Wasil A, Palermo E, Lorenzo-Luaces L, DeRubeis R. Is There an App for That? A Review of Popular Apps for Depression, Anxiety, and Well-Being. Cognitive and Behavioral Practice 2022;29(4):883 View
  118. Biagianti B, Foti G, Di Liberto A, Bressi C, Brambilla P. CBT-informed psychological interventions for adult patients with anxiety and depression symptoms: A narrative review of digital treatment options. Journal of Affective Disorders 2023;325:682 View
  119. Netter A, Beintner I, Brakemeier E. Adding an App-Based Intervention to the Cognitive Behavioral Analysis System of Psychotherapy in Routine Outpatient Psychotherapy Treatment: Proof-of-Concept Study. JMIR Formative Research 2022;6(8):e35482 View
  120. Meyerhoff J, Kruzan K, Kim K, Van Orden K, Mohr D. Exploring the Safety of a General Digital Mental Health Intervention to Effect Symptom Reduction among Individuals with and without Suicidal Ideation: A Secondary Analysis. Archives of Suicide Research 2023;27(3):966 View
  121. Smith C, Lane W, Miller Hillberg H, Kluver D, Terveen L, Yarosh S. Effective Strategies for Crowd-Powered Cognitive Reappraisal Systems: A Field Deployment of the Flip*Doubt Web Application for Mental Health. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1 View
  122. Kornfield R, Mohr D, Ranney R, Lattie E, Meyerhoff J, Williams J, Reddy M. Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  123. Lipschitz J, Van Boxtel R, Torous J, Firth J, Lebovitz J, Burdick K, Hogan T. Digital Mental Health Interventions for Depression: Scoping Review of User Engagement. Journal of Medical Internet Research 2022;24(10):e39204 View
  124. Austin J, Drossaert C, van Dijk J, Sanderman R, Børøsund E, Mirkovic J, Schotanus-Dijkstra M, Peeters N, Van 't Klooster J, Schroevers M, Bohlmeijer E. Integrating Top-down and Bottom-up Requirements in eHealth Development: The Case of a Mobile Self-compassion Intervention for People With Newly Diagnosed Cancer. JMIR Cancer 2022;8(3):e37502 View
  125. Rosenfeld E, Lyman C, Roberts J. Development of an mHealth App–Based Intervention for Depressive Rumination (RuminAid): Mixed Methods Focus Group Evaluation. JMIR Formative Research 2022;6(12):e40045 View
  126. Moon K, Sobolev M, Kane J. Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review. JMIR Mental Health 2022;9(2):e30810 View
  127. Mohr D, Kwasny M, Meyerhoff J, Graham A, Lattie E. The effect of depression and anxiety symptom severity on clinical outcomes and app use in digital mental health treatments: Meta-regression of three trials. Behaviour Research and Therapy 2021;147:103972 View
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  135. Burgess E, Reddy M, Mohr D. "I Just Can't Help But Smile Sometimes": Collaborative Self-Management of Depression. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  136. Baglione A, Cai L, Bahrini A, Posey I, Boukhechba M, Chow P. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712 View
  137. McCallum M, Ho A, Mitchell E, May C, Behr H, Ritschel L, Mochrie K, Michaelides A. Feasibility, Acceptability, and Preliminary Outcomes of a Cognitive Behavioral Therapy–Based Mobile Mental Well-being Program (Noom Mood): Single-Arm Prospective Cohort Study. JMIR Formative Research 2022;6(4):e36794 View
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  141. Meyer A, Wisniewski H, Torous J. Coaching to Support Mental Health Apps: Exploratory Narrative Review. JMIR Human Factors 2022;9(1):e28301 View
  142. Williams K, Wijaya C, Stamatis C, Abbott G, Lattie E. Insights Into Needs and Preferences for Mental Health Support on Social Media and Through Mobile Apps Among Black Male University Students: Exploratory Qualitative Study. JMIR Formative Research 2022;6(8):e38716 View
  143. Agapie E, Areán P, Hsieh G, Munson S. A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  144. Wang A, Xiu X, Liu S, Qian Q, Wu S. Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov. International Journal of Environmental Research and Public Health 2022;19(20):13691 View
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  147. Han H, Mendu S, Jaworski B, Owen J, Abdullah S. Preliminary Evaluation of a Conversational Agent to Support Self-management of Individuals Living With Posttraumatic Stress Disorder: Interview Study With Clinical Experts. JMIR Formative Research 2023;7:e45894 View
  148. Quirk H, Nagar R, Anderson P. A qualitative exploration of college students’ experiences using mobile apps to improve self-care during the COVID-19 pandemic. Journal of American College Health 2023:1 View
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  154. Kuo P, Horn M. EcoSanté Lifestyle Intervention: Encourage Reflections on the Connections between Health and Environment. ACM Transactions on Computer-Human Interaction 2023;30(6):1 View
  155. Lukka L, Salonen A, Vesterinen M, Karhulahti V, Palva S, Palva J. The qualities of patients interested in using a game-based digital mental health intervention for depression: a sequential mixed methods study. BMC Digital Health 2023;1(1) View
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  159. Austin J, Schroevers M, Van Dijk J, Sanderman R, Børøsund E, Wymenga A, Bohlmeijer E, Drossaert C. Compas-Y: A mixed methods pilot evaluation of a mobile self-compassion training for people with newly diagnosed cancer. DIGITAL HEALTH 2023;9 View
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Books/Policy Documents

  1. Stiles-Shields C. Encyclopedia of Behavioral Medicine. View
  2. Stiles-Shields C. Encyclopedia of Behavioral Medicine. View
  3. Castelnuovo G, Manzoni G. Comprehensive Clinical Psychology. View
  4. Bhatia S, Kesarwani Y, Basantani A, Jain S. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. View
  5. Rahaman M, Ferdousy S, Mithila F, Amina M, Paul B, Mahmud K. ICT Systems and Sustainability. View
  6. Barnes S, Prescott J. Research Anthology on Game Design, Development, Usage, and Social Impact. View
  7. Barnes S, Prescott J. Digital Innovations for Mental Health Support. View
  8. Strauss J, Zhang J, Jarrett M, Patterson B, Van Ameringen M. Mental Health in a Digital World. View
  9. Williams L, Pinto M, Abrahim H, Bhattacharya A, Harrison T, Burton C, McIntyre J, Negi L, Hayes G. Human-Computer Interaction. View
  10. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View