Published on in Vol 16, No 6 (2014): June

The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions

The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions

The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions

Journals

  1. Yardley L, Morrison L, Bradbury K, Muller I. The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions. Journal of Medical Internet Research 2015;17(1):e30 View
  2. Michie S, Yardley L, West R, Patrick K, Greaves F. Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop. Journal of Medical Internet Research 2017;19(6):e232 View
  3. Cushing C, Fedele D, Patton S, McQuaid E, Smyth J, Prabhakaran S, Gierer S, Koskela-Staples N, Ortega A, Fleming K, Nezu A. Responsive Asthma Care for Teens (ReACT): development protocol for an adaptive mobile health intervention for adolescents with asthma. BMJ Open 2019;9(8):e030029 View
  4. Buchner U, Koytek A, Wodarz N, Wolstein J. Is an e-mental health programme a viable way to reach affected others of disordered gamblers? A feasibility study focusing on access and retention. International Gambling Studies 2019;19(1):85 View
  5. Sittig S, Wang J, Iyengar S, Myneni S, Franklin A. Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes. JMIR mHealth and uHealth 2020;8(3):e15927 View
  6. Bevan Jones R, Thapar A, Rice F, Mars B, Agha S, Smith D, Merry S, Stallard P, Thapar A, Jones I, Simpson S. A Digital Intervention for Adolescent Depression (MoodHwb): Mixed Methods Feasibility Evaluation. JMIR Mental Health 2020;7(7):e14536 View
  7. 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
  8. Appelboom G, Taylor B, Bruce E, Bassile C, Malakidis C, Yang A, Youngerman B, D'Amico R, Bruce S, Bruyère O, Reginster J, Dumont E, Connolly Jr E. Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization. JMIR mHealth and uHealth 2015;3(3):e78 View
  9. Cornet V, Holden R. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120 View
  10. Karni L, Dalal K, Memedi M, Kalra D, Klein G. Information and Communications Technology–Based Interventions Targeting Patient Empowerment: Framework Development. Journal of Medical Internet Research 2020;22(8):e17459 View
  11. Williamson G, O'Connor A, Chamberlain C, Halpin D. mH ealth resources for asthma and pregnancy care: Methodological issues and social media recruitment. A discussion paper. Journal of Advanced Nursing 2018;74(10):2442 View
  12. Fiorillo D, McLean C, Pistorello J, Hayes S, Follette V. Evaluation of a web-based acceptance and commitment therapy program for women with trauma-related problems: A pilot study. Journal of Contextual Behavioral Science 2017;6(1):104 View
  13. Halse R, Shoneye C, Pollard C, Jancey J, Scott J, Pratt I, Dhaliwal S, Norman R, Straker L, Boushey C, Delp E, Zhu F, Harray A, Szybiak M, Finch A, McVeigh J, Mullan B, Collins C, Mukhtar S, Edwards K, Healy J, Kerr D. Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized Controlled Trial. JMIR Research Protocols 2019;8(2):e12782 View
  14. Cole-Lewis H, Ezeanochie N, Turgiss J. Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions. JMIR Formative Research 2019;3(4):e14052 View
  15. Miller S, Ainsworth B, Yardley L, Milton A, Weal M, Smith P, Morrison L. A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint. Journal of Medical Internet Research 2019;21(2):e10966 View
  16. Iribarren S, Sward K, Beck S, Pearce P, Thurston D, Chirico C. Qualitative Evaluation of a Text Messaging Intervention to Support Patients With Active Tuberculosis: Implementation Considerations. JMIR mHealth and uHealth 2015;3(1):e21 View
  17. Campeau-Vallerand C, Michaud F, Routhier F, Archambault P, Létourneau D, Gélinas-Bronsard D, Auger C. Development of a Web-Based Monitoring System for Power Tilt-in-Space Wheelchairs: Formative Evaluation. JMIR Rehabilitation and Assistive Technologies 2019;6(2):e13560 View
  18. Boruvka A, Almirall D, Witkiewitz K, Murphy S. Assessing Time-Varying Causal Effect Moderation in Mobile Health. Journal of the American Statistical Association 2018;113(523):1112 View
  19. Quinn C, Butler E, Swasey K, Shardell M, Terrin M, Barr E, Gruber-Baldini A. Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR mHealth and uHealth 2018;6(2):e31 View
  20. Lee U, Han K, Cho H, Chung K, Hong H, Lee S, Noh Y, Park S, Carroll J. Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks 2019;83:8 View
  21. Yardley L, Spring B, Riper H, Morrison L, Crane D, Curtis K, Merchant G, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833 View
  22. Duffy D, Enrique A, Connell S, Connolly C, Richards D. Internet-Delivered Cognitive Behavior Therapy as a Prequel to Face-To-Face Therapy for Depression and Anxiety: A Naturalistic Observation. Frontiers in Psychiatry 2020;10 View
  23. Direito A, Walsh D, Hinbarji M, Albatal R, Tooley M, Whittaker R, Maddison R. Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change. Health Education & Behavior 2018;45(3):331 View
  24. Carbonnel F, Ninot G. Identifying Frameworks for Validation and Monitoring of Consensual Behavioral Intervention Technologies: Narrative Review. Journal of Medical Internet Research 2019;21(10):e13606 View
  25. Hightow-Weidman L, Muessig K, Bauermeister J, Zhang C, LeGrand S. Youth, Technology, and HIV: Recent Advances and Future Directions. Current HIV/AIDS Reports 2015;12(4):500 View
  26. Young S. The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework. Journal of Medical Internet Research 2020;22(6):e15563 View
  27. Miner A, Shah N, Bullock K, Arnow B, Bailenson J, Hancock J. Key Considerations for Incorporating Conversational AI in Psychotherapy. Frontiers in Psychiatry 2019;10 View
  28. Farrar F. Transforming Home Health Nursing with Telehealth Technology. Nursing Clinics of North America 2015;50(2):269 View
  29. Yanez B, Buitrago D, Buscemi J, Iacobelli F, Adler R, Corden M, Perez-Tamayo A, Guitelman J, Penedo F. Study design and protocol for My Guide : An e-health intervention to improve patient-centered outcomes among Hispanic breast cancer survivors. Contemporary Clinical Trials 2018;65:61 View
  30. Fedele D, McConville A, Moon J, Thomas J. Topical Review: Design Considerations When Creating Pediatric Mobile Health Interventions: Applying the IDEAS Framework. Journal of Pediatric Psychology 2019;44(3):343 View
  31. Xin M, Viswanath K, Li A, CAO W, HU Y, Lau J, Mo P. The Effectiveness of Electronic Health Interventions for Promoting HIV-Preventive Behaviors Among Men Who Have Sex With Men: Meta-Analysis Based on an Integrative Framework of Design and Implementation Features. Journal of Medical Internet Research 2020;22(5):e15977 View
  32. Orlowski S, Lawn S, Venning A, Winsall M, Jones G, Wyld K, Damarell R, Antezana G, Schrader G, Smith D, Collin P, Bidargaddi N. Participatory Research as One Piece of the Puzzle: A Systematic Review of Consumer Involvement in Design of Technology-Based Youth Mental Health and Well-Being Interventions. JMIR Human Factors 2015;2(2):e12 View
  33. Wray T, Kahler C, Simpanen E, Operario D. User-centered, interaction design research approaches to inform the development of health risk behavior intervention technologies. Internet Interventions 2019;15:1 View
  34. Bardram J, Frost M. The Personal Health Technology Design Space. IEEE Pervasive Computing 2016;15(2):70 View
  35. Brignone L, Edleson J. The Dating and Domestic Violence App Rubric: Synthesizing Clinical Best Practices and Digital Health App Standards for Relationship Violence Prevention Smartphone Apps. International Journal of Human–Computer Interaction 2019;35(19):1859 View
  36. Wilhelmsen M, Høifødt R, Kolstrup N, Waterloo K, Eisemann M, Chenhall R, Risør M. Norwegian General Practitioners’ Perspectives on Implementation of a Guided Web-Based Cognitive Behavioral Therapy for Depression: A Qualitative Study. Journal of Medical Internet Research 2014;16(9):e208 View
  37. Kip H, Kelders S, Bouman Y, van Gemert-Pijnen L. The Importance of Systematically Reporting and Reflecting on eHealth Development: Participatory Development Process of a Virtual Reality Application for Forensic Mental Health Care. Journal of Medical Internet Research 2019;21(8):e12972 View
  38. Suffoletto B. Text message behavioral interventions: from here to where?. Current Opinion in Psychology 2016;9:16 View
  39. Darlow S, Wen K. Development testing of mobile health interventions for cancer patient self-management: A review. Health Informatics Journal 2016;22(3):633 View
  40. de Ridder M, Kim J, Jing Y, Khadra M, Nanan R. A systematic review on incentive-driven mobile health technology: As used in diabetes management. Journal of Telemedicine and Telecare 2017;23(1):26 View
  41. Ahmed A. Trans Competent Interaction Design: A Qualitative Study on Voice, Identity, and Technology. Interacting with Computers 2018;30(1):53 View
  42. Wang Y, Fadhil A, Lange J, Reiterer H. Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework. JMIR Research Protocols 2019;8(1):e8055 View
  43. Radomski A, Wozney L, McGrath P, Huguet A, Hartling L, Dyson M, Bennett K, Newton A. Potential Reduction of Symptoms With the Use of Persuasive Systems Design Features in Internet-Based Cognitive Behavioral Therapy Programs for Children and Adolescents With Anxiety: A Realist Synthesis. JMIR Mental Health 2019;6(10):e13807 View
  44. Bevan Jones R, Thapar A, Rice F, Beeching H, Cichosz R, Mars B, Smith D, Merry S, Stallard P, Jones I, Thapar A, Simpson S. A Web-Based Psychoeducational Intervention for Adolescent Depression: Design and Development of MoodHwb. JMIR Mental Health 2018;5(1):e13 View
  45. Morrison L. Theory-based strategies for enhancing the impact and usage of digital health behaviour change interventions: A review. DIGITAL HEALTH 2015;1:205520761559533 View
  46. Helf C, Hlavacs H. Apps for life change: Critical review and solution directions. Entertainment Computing 2016;14:17 View
  47. Scholten H, Granic I. Use of the Principles of Design Thinking to Address Limitations of Digital Mental Health Interventions for Youth: Viewpoint. Journal of Medical Internet Research 2019;21(1):e11528 View
  48. Dobkin B. Behavioral self-management strategies for practice and exercise should be included in neurologic rehabilitation trials and care. Current Opinion in Neurology 2016;29(6):693 View
  49. Ondersma S, Walters S. Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health. Psychiatric Research and Clinical Practice 2020;2(1):26 View
  50. Baumel A, Muench F. Heuristic Evaluation of Ehealth Interventions: Establishing Standards That Relate to the Therapeutic Process Perspective. JMIR Mental Health 2016;3(1):e5 View
  51. O’Connor D, Brennan L, Caulfield B. The use of neuromuscular electrical stimulation (NMES) for managing the complications of ageing related to reduced exercise participation. Maturitas 2018;113:13 View
  52. Sittig S, Hauff C, Graves R, Williams S, McDermott R, Fruh S, Hall H, Campbell M, Swanzy D, Wright T, Hudson G. Characteristics of and Factors Influencing College Nursing Students' Willingness to Utilize mHealth for Health Promotion. CIN: Computers, Informatics, Nursing 2020;38(5):246 View
  53. Mohr D, Tomasino K, Lattie E, Palac H, Kwasny M, Weingardt K, Karr C, Kaiser S, Rossom R, Bardsley L, Caccamo L, Stiles-Shields C, Schueller S. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. Journal of Medical Internet Research 2017;19(1):e10 View
  54. Direito A, Tooley M, Hinbarji M, Albatal R, Jiang Y, Whittaker R, Maddison R. Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention. Telemedicine and e-Health 2020;26(4):426 View
  55. Cheng C, Beauchamp A, Elsworth G, Osborne R. Applying the Electronic Health Literacy Lens: Systematic Review of Electronic Health Interventions Targeted at Socially Disadvantaged Groups. Journal of Medical Internet Research 2020;22(8):e18476 View
  56. Corkum P, Elik N, Blotnicky-Gallant P, McGonnell M, McGrath P. Web-Based Intervention for Teachers of Elementary Students With ADHD: Randomized Controlled Trial. Journal of Attention Disorders 2019;23(3):257 View
  57. Forchuk C, Donelle L, Ethridge P, Warner L. Client Perceptions of the Mental Health Engagement Network: A Secondary Analysis of an Intervention Using Smartphones and Desktop Devices for Individuals Experiencing Mood or Psychotic Disorders in Canada. JMIR Mental Health 2015;2(1):e1 View
  58. Lattie E, Schueller S, Sargent E, Stiles-Shields C, Tomasino K, Corden M, Begale M, Karr C, Mohr D. Uptake and usage of IntelliCare: A publicly available suite of mental health and well-being apps. Internet Interventions 2016;4:152 View
  59. Spanakis E, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen J, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128 View
  60. Pisani A, Wyman P, Mohr D, Perrino T, Gallo C, Villamar J, Kendziora K, Howe G, Sloboda Z, Brown C. Human Subjects Protection and Technology in Prevention Science: Selected Opportunities and Challenges. Prevention Science 2016;17(6):765 View
  61. Gray K, Sockolow P. Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development. JMIR Medical Informatics 2016;4(1):e7 View
  62. Vamos C, Griner S, Kirchharr C, Green S, DeBate R, Daley E, Quinonez R, Boggess K, Jacobs T, Christiansen S. The development of a theory-based eHealth app prototype to promote oral health during prenatal care visits. Translational Behavioral Medicine 2019;9(6):1100 View
  63. Sporrel K, Nibbeling N, Wang S, Ettema D, Simons M. Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies. JMIR mHealth and uHealth 2021;9(1):e16282 View
  64. Fishbein J, Nisotel L, MacDonald J, Amoyal Pensak N, Jacobs J, Flanagan C, Jethwani K, Greer J. Mobile Application to Promote Adherence to Oral Chemotherapy and Symptom Management: A Protocol for Design and Development. JMIR Research Protocols 2017;6(4):e62 View
  65. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109 View
  66. Heckman B, Mathew A, Carpenter M. Treatment burden and treatment fatigue as barriers to health. Current Opinion in Psychology 2015;5:31 View
  67. Dunleavy G, Nikolaou C, Nifakos S, Atun R, Law G, Tudor Car L. Mobile Digital Education for Health Professions: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. Journal of Medical Internet Research 2019;21(2):e12937 View
  68. 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
  69. Song T, Qian S, Yu P. Mobile Health Interventions for Self-Control of Unhealthy Alcohol Use: Systematic Review. JMIR mHealth and uHealth 2019;7(1):e10899 View
  70. Salwen-Deremer J, Khan A, Martin S, Holloway B, Coughlin J. Incorporating Health Behavior Theory into mHealth: an Examination of Weight Loss, Dietary, and Physical Activity Interventions. Journal of Technology in Behavioral Science 2020;5(1):51 View
  71. Taylor C, Ruzek J, Fitzsimmons-Craft E, Sadeh-Sharvit S, Topooco N, Weissman R, Eisenberg D, Mohr D, Graham A, Jacobi C, Oldenburg B. Using Digital Technology to Reduce the Prevalence of Mental Health Disorders in Populations: Time for a New Approach. Journal of Medical Internet Research 2020;22(7):e17493 View
  72. Spohr S, Taxman F, Walters S. The relationship between electronic goal reminders and subsequent drug use and treatment initiation in a criminal justice setting. Addictive Behaviors 2015;51:51 View
  73. Law G, Neihart M, Dutt A. The use of behavior modeling training in a mobile app parent training program to improve functional communication of young children with autism spectrum disorder. Autism 2018;22(4):424 View
  74. Kip H, Oberschmidt K, Bierbooms J. eHealth Technology in Forensic Mental Healthcare: Recommendations for Achieving Benefits and Overcoming Barriers. International Journal of Forensic Mental Health 2021;20(1):31 View
  75. Schueller S, Tomasino K, Mohr D. Integrating Human Support Into Behavioral Intervention Technologies: The Efficiency Model of Support. Clinical Psychology: Science and Practice 2017;24(1):27 View
  76. Abraham O, Thakur T, Brown R. Developing a Theory-Driven Serious Game to Promote Prescription Opioid Safety Among Adolescents: Mixed Methods Study. JMIR Serious Games 2020;8(3):e18207 View
  77. Aguilera A, Lyles C. The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology. JMIR Diabetes 2017;2(1):e1 View
  78. Anderson J, Wallace L. Applying the Behavioural Intervention Technologies model to the development of a smartphone application (app) supporting young peoples’ adherence to anaphylaxis action plan. BMJ Innovations 2015;1(2):67 View
  79. Turvey C, Roberts L. Recent developments in the use of online resources and mobile technologies to support mental health care. International Review of Psychiatry 2015;27(6):547 View
  80. Jago E, Gauthier A, Pegoraro A, Dorman S. An Assessment of the Validity of an Audio-Video Method of Food Journaling for Dietary Quantity and Quality. Journal of Nutrition and Metabolism 2019;2019:1 View
  81. Walsh D, Moran K, Cornelissen V, Buys R, Claes J, Zampognaro P, Melillo F, Maglaveras N, Chouvarda I, Triantafyllidis A, Filos D, Woods C. The development and codesign of the PATHway intervention: a theory-driven eHealth platform for the self-management of cardiovascular disease. Translational Behavioral Medicine 2019;9(1):76 View
  82. Dobkin B, Martinez C. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice. Current Neurology and Neuroscience Reports 2018;18(12) View
  83. Stiles-Shields C, Garcia B, Villota K, Wartman E, Winning A, Holmbeck G. Exploring an Existing Weight Management App for Use With Adolescents and Young Adults With Spina Bifida: Usability Study. JMIR Pediatrics and Parenting 2019;2(2):e15153 View
  84. Yin Z, Errisuriz V, Evans M, Inupakutika D, Kaghyan S, Li S, Esparza L, Akopian D, Parra-Medina D. A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development. JMIR Formative Research 2020;4(8):e20679 View
  85. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802 View
  86. Taj F, Klein M, van Halteren A. Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research. JMIR mHealth and uHealth 2019;7(12):e13311 View
  87. Bull S, Ezeanochie N. From Foucault to Freire Through Facebook. Health Education & Behavior 2016;43(4):399 View
  88. Hill C, Creswell C, Vigerland S, Nauta M, March S, Donovan C, Wolters L, Spence S, Martin J, Wozney L, McLellan L, Kreuze L, Gould K, Jolstedt M, Nord M, Hudson J, Utens E, Ruwaard J, Albers C, Khanna M, Albano A, Serlachius E, Hrastinski S, Kendall P. Navigating the development and dissemination of internet cognitive behavioral therapy (iCBT) for anxiety disorders in children and young people: A consensus statement with recommendations from the #iCBTLorentz Workshop Group. Internet Interventions 2018;12:1 View
  89. Shoneye C, Mullan B, Begley A, Pollard C, Jancey J, Kerr D. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919 View
  90. Chandler C, Burchett H, Boyle L, Achonduh O, Mbonye A, DiLiberto D, Reyburn H, Onwujekwe O, Haaland A, Roca-Feltrer A, Baiden F, Mbacham W, Ndyomugyenyi R, Nankya F, Mangham-Jefferies L, Clarke S, Mbakilwa H, Reynolds J, Lal S, Leslie T, Maiteki-Sebuguzi C, Webster J, Magnussen P, Ansah E, Hansen K, Hutchinson E, Cundill B, Yeung S, Schellenberg D, Staedke S, Wiseman V, Lalloo D, Whitty C. Examining Intervention Design: Lessons from the Development of Eight Related Malaria Health Care Intervention Studies. Health Systems & Reform 2016;2(4):373 View
  91. Yen H, Chiu H. The effectiveness of wearable technologies as physical activity interventions in weight control: A systematic review and meta‐analysis of randomized controlled trials. Obesity Reviews 2019;20(10):1485 View
  92. Simoni J, Ronen K, Aunon F. Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review. Current HIV/AIDS Reports 2018;15(6):423 View
  93. Davis T, DiClemente R, Prietula M. Using ADAPT-ITT to Modify a Telephone-Based HIV Prevention Intervention for SMS Delivery: Formative Study. JMIR Formative Research 2020;4(10):e22485 View
  94. Fallon E, Driscoll D, Smith T, Richardson K, Portier K. Description, characterization, and evaluation of an online social networking community: the American Cancer Society’s Cancer Survivors Network®. Journal of Cancer Survivorship 2018;12(5):691 View
  95. Van Voorhees B, Gladstone T, Cordel S, Marko-Holguin M, Beardslee W, Kuwabara S, Kaplan M, Fogel J, Diehl A, Hansen C, Bell C. Development of a technology-based behavioral vaccine to prevent adolescent depression: A health system integration model. Internet Interventions 2015;2(3):303 View
  96. Stephan L, Dytz Almeida E, Guimaraes R, Ley A, Mathias R, Assis M, Leiria T. Processes and Recommendations for Creating mHealth Apps for Low-Income Populations. JMIR mHealth and uHealth 2017;5(4):e41 View
  97. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  98. Iacobelli F, Adler R, Buitrago D, Buscemi J, Corden M, Perez-Tamayo A, Penedo F, Rodriguez M, Yanez B. Designing an mHealth application to bridge health disparities in Latina breast cancer survivors: a community-supported design approach. Design for Health 2018;2(1):58 View
  99. 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
  100. Crutzen R. The Behavioral Intervention Technology Model and Intervention Mapping: The Best of Both Worlds. Journal of Medical Internet Research 2014;16(8):e188 View
  101. Curtis K, Lahiri S, Brown K. Targeting Parents for Childhood Weight Management: Development of a Theory-Driven and User-Centered Healthy Eating App. JMIR mHealth and uHealth 2015;3(2):e69 View
  102. Car J, Tan W, Huang Z, Sloot P, Franklin B. eHealth in the future of medications management: personalisation, monitoring and adherence. BMC Medicine 2017;15(1) View
  103. Kringle E, Setiawan I, Golias K, Parmanto B, Skidmore E. Feasibility of an iterative rehabilitation intervention for stroke delivered remotely using mobile health technology. Disability and Rehabilitation: Assistive Technology 2020;15(8):908 View
  104. 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
  105. Higinbotham M, Emmert-Aronson B, Bunge E. A Meta-analysis of the Effectiveness of Behavioral Intervention Technologies and Face-to-Face Cognitive Behavioral Therapy for Youth with Depression. Journal of Technology in Behavioral Science 2020;5(4):324 View
  106. Naughton F. Delivering “Just-In-Time” Smoking Cessation Support Via Mobile Phones: Current Knowledge and Future Directions: Table 1.. Nicotine & Tobacco Research 2016:ntw143 View
  107. Schick R, Kelsey T, Marston J, Samson K, Humphris G. MapMySmoke: feasibility of a new quit cigarette smoking mobile phone application using integrated geo-positioning technology, and motivational messaging within a primary care setting. Pilot and Feasibility Studies 2018;4(1) View
  108. Azar K, Bennett G, Nolting L, Rosas L, Burke L, Ma J. A framework for examining the function of digital health technologies for weight management. Translational Behavioral Medicine 2018;8(2):280 View
  109. Mohr D, Schueller S, Riley W, Brown C, Cuijpers P, Duan N, Kwasny M, Stiles-Shields C, Cheung K. Trials of Intervention Principles: Evaluation Methods for Evolving Behavioral Intervention Technologies. Journal of Medical Internet Research 2015;17(7):e166 View
  110. Kerr D, Harray A, Pollard C, Dhaliwal S, Delp E, Howat P, Pickering M, Ahmad Z, Meng X, Pratt I, Wright J, Kerr K, Boushey C. The connecting health and technology study: a 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  111. Meinlschmidt G, Lee J, Stalujanis E, Belardi A, Oh M, Jung E, Kim H, Alfano J, Yoo S, Tegethoff M. Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting. Frontiers in Psychology 2016;7 View
  112. Sucala M, Ezeanochie N, Cole-Lewis H, Turgiss J. An iterative, interdisciplinary, collaborative framework for developing and evaluating digital behavior change interventions. Translational Behavioral Medicine 2019 View
  113. Stiles-Shields C, Crowe A, Driscoll C, Ohanian D, Stern A, Wartman E, Winning A, Wafford Q, Lattie E, Holmbeck G. A Systematic Review of Behavioral Intervention Technologies for Youth With Chronic Health Conditions and Physical and Intellectual Disabilities: Implications for Adolescents and Young Adults With Spina Bifida. Journal of Pediatric Psychology 2019;44(3):349 View
  114. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61 View
  115. Nolan R, Feldman R, Dawes M, Kaczorowski J, Lynn H, Barr S, MacPhail C, Thomas S, Goodman J, Eysenbach G, Liu S, Tanaka R, Surikova J. Randomized Controlled Trial of E-Counseling for Hypertension. Circulation: Cardiovascular Quality and Outcomes 2018;11(7) View
  116. Hamaker E, Grasman R, Kamphuis J. Modeling BAS Dysregulation in Bipolar Disorder. Assessment 2016;23(4):436 View
  117. Bevan Jones R, Stallard P, Agha S, Rice S, Werner‐Seidler A, Stasiak K, Kahn J, Simpson S, Alvarez‐Jimenez M, Rice F, Evans R, Merry S. Practitioner review: Co‐design of digital mental health technologies with children and young people. Journal of Child Psychology and Psychiatry 2020;61(8):928 View
  118. Leafman J, Mathieson K, Lee A. Perceptions of telemedicine for patient education among online support group patients with chronic or rare conditions. Cogent Medicine 2018;5(1):1525148 View
  119. White B, Martin A, White J, Burns S, Maycock B, Giglia R, Scott J. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81 View
  120. Seo D, Niu J. Evaluation of Internet-Based Interventions on Waist Circumference Reduction: A Meta-Analysis. Journal of Medical Internet Research 2015;17(7):e181 View
  121. Bartlett Y, Farmer A, Rea R, French D. Use of Brief Messages Based on Behavior Change Techniques to Encourage Medication Adherence in People With Type 2 Diabetes: Developmental Studies. Journal of Medical Internet Research 2020;22(5):e15989 View
  122. Sezgin E, Militello L, Huang Y, Lin S. A scoping review of patient-facing, behavioral health interventions with voice assistant technology targeting self-management and healthy lifestyle behaviors. Translational Behavioral Medicine 2020;10(3):606 View
  123. Huang Y, Benford S, Blake H. Digital Interventions to Reduce Sedentary Behaviors of Office Workers: Scoping Review. Journal of Medical Internet Research 2019;21(2):e11079 View
  124. Orlowski S, Matthews B, Bidargaddi N, Jones G, Lawn S, Venning A, Collin P. Mental Health Technologies: Designing With Consumers. JMIR Human Factors 2016;3(1):e4 View
  125. Hidalgo-Mazzei D, Mateu A, Reinares M, Matic A, Vieta E, Colom F. Internet-based psychological interventions for bipolar disorder: Review of the present and insights into the future. Journal of Affective Disorders 2015;188:1 View
  126. St-Maurice J, Burns C, Wolting J. Applying Persuasive Design Techniques to Influence Data-Entry Behaviors in Primary Care: Repeated Measures Evaluation Using Statistical Process Control. JMIR Human Factors 2018;5(4):e28 View
  127. Danaher B, Brendryen H, Seeley J, Tyler M, Woolley T. From black box to toolbox: Outlining device functionality, engagement activities, and the pervasive information architecture of mHealth interventions. Internet Interventions 2015;2(1):91 View
  128. Simpson S, Matthews L, Pugmire J, McConnachie A, McIntosh E, Coulman E, Hughes K, Kelson M, Morgan-Trimmer S, Murphy S, Utkina-Macaskill O, Moore L. An app-, web- and social support-based weight loss intervention for adults with obesity: the HelpMeDoIt! feasibility RCT. Public Health Research 2020;8(3):1 View
  129. Faiola A, Papautsky E, Isola M. Empowering the Aging with Mobile Health: A mHealth Framework for Supporting Sustainable Healthy Lifestyle Behavior. Current Problems in Cardiology 2019;44(8):232 View
  130. Sittig S, McGowan A, Iyengar S. Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions. Journal of Medical Systems 2020;44(7) View
  131. Ranney M, Patena J, Dunsiger S, Spirito A, Cunningham R, Boyer E, Nugent N. A technology-augmented intervention to prevent peer violence and depressive symptoms among at-risk emergency department adolescents: Protocol for a randomized control trial. Contemporary Clinical Trials 2019;82:106 View
  132. Fernández-Álvarez J, Díaz-García A, González-Robles A, Baños R, García-Palacios A, Botella C. Dropping out of a transdiagnostic online intervention: A qualitative analysis of client's experiences. Internet Interventions 2017;10:29 View
  133. Carpenter J, Crutchley P, Zilca R, Schwartz H, Smith L, Cobb A, Parks A. Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data. Journal of Medical Internet Research 2016;18(8):e241 View
  134. Schueller S, Aguilera A, Mohr D. Ecological momentary interventions for depression and anxiety. Depression and Anxiety 2017;34(6):540 View
  135. Wagner L, Duffecy J, Begale M, Victorson D, Golden S, Smith M, Penedo F, Mohr D, Cella D. Development and refinement of FoRtitude: An eHealth intervention to reduce fear of recurrence among breast cancer survivors. Psycho-Oncology 2020;29(1):227 View
  136. Dosovitsky G, Pineda B, Jacobson N, Chang C, Escoredo M, Bunge E. Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage. JMIR Formative Research 2020;4(11):e17065 View
  137. Abd-Alrazaq A, Alajlani M, Ali N, Denecke K, Bewick B, Househ M. Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review. Journal of Medical Internet Research 2021;23(1):e17828 View
  138. Sporrel K, De Boer R, Wang S, Nibbeling N, Simons M, Deutekom M, Ettema D, Castro P, Dourado V, Kröse B. The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining. Frontiers in Public Health 2021;8 View
  139. Hesse B. Riding the Wave of Digital Transformation in Behavioral Medicine. Annals of Behavioral Medicine 2020;54(12):960 View
  140. Wang Y, Collins W. Systematic evaluation of mobile fitness apps: Apps as the Tutor, Recorder, Game Companion, and Cheerleader. Telematics and Informatics 2021;59:101552 View
  141. Amann J, Fiordelli M, Scheel-Sailer A, Brach M, Rubinelli S. Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study. JMIR mHealth and uHealth 2020;8(12):e22452 View
  142. Gomis-Pastor M, Mirabet S, Roig E, Lopez L, Brossa V, Galvez-Tugas E, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuyàs F, Salazar A, Mangues M. Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study. JMIR Cardio 2020;4(1):e19065 View
  143. Davis A, Sweigart R, Ellis R. A systematic review of tailored mHealth interventions for physical activity promotion among adults. Translational Behavioral Medicine 2020;10(5):1221 View
  144. Compernolle S, Cardon G, van der Ploeg H, Van Nassau F, De Bourdeaudhuij I, Jelsma J, Brondeel R, Van Dyck D. Engagement, Acceptability, Usability, and Preliminary Efficacy of a Self-Monitoring Mobile Health Intervention to Reduce Sedentary Behavior in Belgian Older Adults: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(10):e18653 View
  145. Kozlov E, Bantum E, Pagano I, Walser R, Ramsey K, Taylor K, Jaworski B, Owen J. The Reach, Use, and Impact of a Free mHealth Mindfulness App in the General Population: Mobile Data Analysis. JMIR Mental Health 2020;7(11):e23377 View
  146. Yen H. Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial. Quality of Life Research 2021;30(3):791 View
  147. Rauschenberg C, Schick A, Hirjak D, Seidler A, Paetzold I, Apfelbacher C, Riedel-Heller S, Reininghaus U. Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review. Journal of Medical Internet Research 2021;23(3):e23365 View
  148. Hwang Y, Shin D, Eun J, Suh B, Lee J. Design Guidelines of a Computer-Based Intervention for Computer Vision Syndrome: Focus Group Study and Real-World Deployment. Journal of Medical Internet Research 2021;23(3):e22099 View
  149. Ng N, Eriksson M, Guerrero E, Gustafsson C, Kinsman J, Lindberg J, Lindgren H, Lindvall K, Lundgren A, Lönnberg G, Sahlen K, Santosa A, Richter Sundberg L, Weinehall L, Wennberg P. Sustainable Behavior Change for Health Supported by Person-Tailored, Adaptive, Risk-Aware Digital Coaching in a Social Context: Study Protocol for the STAR-C Research Programme. Frontiers in Public Health 2021;9 View
  150. Wang X, Markert C, Sasangohar F. Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic. Human Factors: The Journal of the Human Factors and Ergonomics Society 2021:001872082199811 View
  151. Loo Gee B, Batterham P, Gulliver A, Reynolds J, Griffiths K. An Ecological Momentary Intervention for people with social anxiety: A descriptive case study. Informatics for Health and Social Care 2021:1 View
  152. Shim Y, Scotney V, Tay L. Conducting mobile-enabled ecological momentary intervention research in positive psychology: key considerations and recommended practices. The Journal of Positive Psychology 2021:1 View
  153. Goldberg E, Bingaman C, Perera S, Ranney M. MyCOVIDRisk app: development and utilisation of a COVID-19 risk assessment and mitigation application. BMJ Innovations 2021;7(2):363 View
  154. Birkmeyer S, Wirtz B, Langer P. Determinants of mHealth success: An empirical investigation of the user perspective. International Journal of Information Management 2021;59:102351 View
  155. Nicolaidou I, Stavrou E, Leonidou G. Building Primary-School Children’s Resilience through a Web-based Interactive Learning Environment: a Quasi-experiment (Preprint). JMIR Pediatrics and Parenting 2021 View
  156. Coorey G, Peiris D, Scaria A, Mulley J, Neubeck L, Hafiz N, Redfern J. An Internet-Based Intervention for Cardiovascular Disease Management Integrated With Primary Care Electronic Health Records: Mixed Methods Evaluation of Implementation Fidelity and User Engagement. Journal of Medical Internet Research 2021;23(4):e25333 View
  157. Donevant S, Heiney S, Wineglass C, Schooley B, Singh A, Sheng J. Exploring the Perceptions of African American Breast Cancer Survivors on Endocrine Therapy: A Mixed Methods Study (Preprint). JMIR Formative Research 2020 View

Books/Policy Documents

  1. Wright K. The Handbook of Applied Communication Research. View
  2. Baron K, Perlis M, Nowakowski S, Smith M, Jungquist C, Orff H. Clinical Handbook of Insomnia. View
  3. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. View
  4. Rabbi M, Hane Aung M, Choudhury T. Mobile Health. View
  5. Oh E, Qian M, Cheung K, Mohr D. Statistical Modeling in Biomedical Research. View
  6. Christopher H, Zwickl P, Hlavacs H, Reichl P. Entertainment Computing - ICEC 2015. View
  7. Cho P, Singh K, Dunn J. Artificial Intelligence in Medicine. View
  8. Myneni S, Rogith D, Franklin A. Social, Cultural, and Behavioral Modeling. View
  9. Liu Z, Su J, Ji L. Scientometrics Recent Advances. View
  10. Langrial S, Lappalainen P. Web-Based Behavioral Therapies for Mental Disorders. View
  11. Ahern D, Braun I, Cooley M, Bickmore T. Oncology Informatics. View
  12. Budney A, Borodovsky J, Marsch L, Lord S. The Assessment and Treatment of Addiction. View
  13. van de Poll-Franse L, Prins J, Verdonck-de Leeuw I. Leerboek oncologie. View
  14. Langrial S, Lappalainen P. Research Anthology on Mental Health Stigma, Education, and Treatment. View
  15. Rauschenberg C, Rus-Calafell M, Reininghaus U, Valmaggia L. Reference Module in Neuroscience and Biobehavioral Psychology. View