Published on 05.06.14 in Vol 16, No 6 (2014): June
Works citing "The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3077):
(note that this is only a small subset of citations)
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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
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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
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Cushing CC, Fedele DA, Patton SR, McQuaid EL, Smyth JM, Prabhakaran S, Gierer S, Koskela-Staples N, Ortega A, Fleming KK, Nezu AM. Responsive Asthma Care for Teens (ReACT): development protocol for an adaptive mobile health intervention for adolescents with asthma. BMJ Open 2019;9(8):e030029
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Buchner UG, 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
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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
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Bevan Jones R, Thapar A, Rice F, Mars B, Agha SS, Smith D, Merry S, Stallard P, Thapar AK, Jones I, Simpson SA. A Digital Intervention for Adolescent Depression (MoodHwb): Mixed Methods Feasibility Evaluation. JMIR Mental Health 2020;7(7):e14536
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Cheung K, Ling W, Karr CJ, Weingardt K, Schueller SM, Mohr DC. 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
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Appelboom G, Taylor BE, Bruce E, Bassile CC, Malakidis C, Yang A, Youngerman B, D'Amico R, Bruce S, Bruyère O, Reginster J, Dumont EP, Connolly Jr ES. Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization. JMIR mHealth and uHealth 2015;3(3):e78
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Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
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Karni L, Dalal K, Memedi M, Kalra D, Klein GO. Information and Communications Technology–Based Interventions Targeting Patient Empowerment: Framework Development. Journal of Medical Internet Research 2020;22(8):e17459
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Williamson GR, O'Connor A, Chamberlain C, Halpin D. mHealth resources for asthma and pregnancy care: Methodological issues and social media recruitment. A discussion paper. Journal of Advanced Nursing 2018;74(10):2442
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Fiorillo D, McLean C, Pistorello J, Hayes SC, Follette VM. 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
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Halse RE, Shoneye CL, Pollard CM, Jancey J, Scott JA, Pratt IS, Dhaliwal SS, Norman R, Straker LM, Boushey CJ, Delp EJ, Zhu F, Harray AJ, Szybiak MA, Finch A, McVeigh JA, Mullan B, Collins CE, Mukhtar SA, Edwards KN, Healy JD, Kerr DA. 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
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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
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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
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Iribarren SJ, Sward KA, Beck SL, Pearce PF, 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
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Campeau-Vallerand C, Michaud F, Routhier F, Archambault PS, 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
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Boruvka A, Almirall D, Witkiewitz K, Murphy SA. Assessing Time-Varying Causal Effect Moderation in Mobile Health. Journal of the American Statistical Association 2018;113(523):1112
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Quinn CC, Butler EC, Swasey KK, Shardell MD, Terrin MD, Barr EA, Gruber-Baldini AL. Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR mHealth and uHealth 2018;6(2):e31
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Lee U, Han K, Cho H, Chung K, Hong H, Lee S, Noh Y, Park S, Carroll JM. Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks 2019;83:8
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Yardley L, Spring BJ, Riper H, Morrison LG, Crane DH, Curtis K, Merchant GC, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833
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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
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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
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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
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Hightow-Weidman LB, Muessig KE, Bauermeister J, Zhang C, LeGrand S. Youth, Technology, and HIV: Recent Advances and Future Directions. Current HIV/AIDS Reports 2015;12(4):500
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. 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
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Miner AS, Shah N, Bullock KD, Arnow BA, Bailenson J, Hancock J. Key Considerations for Incorporating Conversational AI in Psychotherapy. Frontiers in Psychiatry 2019;10
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. Transforming Home Health Nursing with Telehealth Technology. Nursing Clinics of North America 2015;50(2):269
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Yanez BR, Buitrago D, Buscemi J, Iacobelli F, Adler RF, Corden ME, Perez-Tamayo A, Guitelman J, Penedo FJ. 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
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Fedele DA, McConville A, Moon J, Thomas JG. Topical Review: Design Considerations When Creating Pediatric Mobile Health Interventions: Applying the IDEAS Framework. Journal of Pediatric Psychology 2019;44(3):343
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Xin M, Viswanath K, Li AY, CAO W, HU Y, Lau JT, Mo PK. 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
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Orlowski SK, Lawn S, Venning A, Winsall M, Jones GM, Wyld K, Damarell RA, 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
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Wray TB, Kahler CW, Simpanen EM, Operario D. User-centered, interaction design research approaches to inform the development of health risk behavior intervention technologies. Internet Interventions 2019;15:1
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Bardram JE, Frost M. The Personal Health Technology Design Space. IEEE Pervasive Computing 2016;15(2):70
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Brignone L, Edleson JL. 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
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Wilhelmsen M, Høifødt RS, Kolstrup N, Waterloo K, Eisemann M, Chenhall R, Risør MB. 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
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Kip H, Kelders SM, Bouman YHA, van Gemert-Pijnen LJEWC. 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
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. Text message behavioral interventions: from here to where?. Current Opinion in Psychology 2016;9:16
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Darlow S, Wen K. Development testing of mobile health interventions for cancer patient self-management: A review. Health Informatics Journal 2016;22(3):633
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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
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. Trans Competent Interaction Design: A Qualitative Study on Voice, Identity, and Technology. Interacting with Computers 2018;30(1):53
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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
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Radomski AD, Wozney L, McGrath P, Huguet A, Hartling L, Dyson MP, Bennett KJ, Newton AS. 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
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Bevan Jones R, Thapar A, Rice F, Beeching H, Cichosz R, Mars B, Smith DJ, Merry S, Stallard P, Jones I, Thapar AK, Simpson SA. A Web-Based Psychoeducational Intervention for Adolescent Depression: Design and Development of MoodHwb. JMIR Mental Health 2018;5(1):e13
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. Theory-based strategies for enhancing the impact and usage of digital health behaviour change interventions: A review. DIGITAL HEALTH 2015;1:205520761559533
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Helf C, Hlavacs H. Apps for life change: Critical review and solution directions. Entertainment Computing 2016;14:17
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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
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. 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
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Ondersma SJ, Walters ST. Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health. Psychiatric Research and Clinical Practice 2020;2(1):26
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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
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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
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Sittig S, Hauff C, Graves RJ, Williams SG, McDermott RC, Fruh S, Hall H, Campbell M, Swanzy D, Wright T, Hudson GM. Characteristics of and Factors Influencing College Nursing Students' Willingness to Utilize mHealth for Health Promotion. CIN: Computers, Informatics, Nursing 2020;38(5):246
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Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L, Stiles-Shields C, Schueller SM. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. Journal of Medical Internet Research 2017;19(1):e10
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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
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Cheng C, Beauchamp A, Elsworth GR, Osborne RH. 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
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Corkum P, Elik N, Blotnicky-Gallant PAC, 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
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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
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Lattie EG, Schueller SM, Sargent E, Stiles-Shields C, Tomasino KN, Corden ME, Begale M, Karr CJ, Mohr DC. Uptake and usage of IntelliCare: A publicly available suite of mental health and well-being apps. Internet Interventions 2016;4:152
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Spanakis EG, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen JH, 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
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Pisani AR, Wyman PA, Mohr DC, Perrino T, Gallo C, Villamar J, Kendziora K, Howe GW, Sloboda Z, Brown CH. Human Subjects Protection and Technology in Prevention Science: Selected Opportunities and Challenges. Prevention Science 2016;17(6):765
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Gray K, Sockolow P. Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development. JMIR Medical Informatics 2016;4(1):e7
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Vamos CA, Griner SB, Kirchharr C, Green SM, DeBate R, Daley EM, Quinonez RB, Boggess KA, 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
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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
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Fishbein JN, Nisotel LE, MacDonald JJ, Amoyal Pensak N, Jacobs JM, Flanagan C, Jethwani K, Greer JA. Mobile Application to Promote Adherence to Oral Chemotherapy and Symptom Management: A Protocol for Design and Development. JMIR Research Protocols 2017;6(4):e62
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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
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Heckman BW, Mathew AR, Carpenter MJ. Treatment burden and treatment fatigue as barriers to health. Current Opinion in Psychology 2015;5:31
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Dunleavy G, Nikolaou CK, Nifakos S, Atun R, Law GCY, 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
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Chow PI, Showalter SL, Gerber M, Kennedy EM, Brenin D, Mohr DC, Lattie EG, Gupta A, Ocker G, Cohn WF. Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study. JMIR Cancer 2020;6(1):e16476
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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
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Salwen-Deremer JK, Khan AS, Martin SS, Holloway BM, Coughlin JW. 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
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Taylor CB, Ruzek JI, Fitzsimmons-Craft EE, Sadeh-Sharvit S, Topooco N, Weissman RS, 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
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Spohr SA, Taxman FS, Walters ST. The relationship between electronic goal reminders and subsequent drug use and treatment initiation in a criminal justice setting. Addictive Behaviors 2015;51:51
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Law GC, 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
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Kip H, Oberschmidt K, Bierbooms JJPA. eHealth Technology in Forensic Mental Healthcare: Recommendations for Achieving Benefits and Overcoming Barriers. International Journal of Forensic Mental Health 2021;20(1):31
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Schueller SM, Tomasino KN, Mohr DC. Integrating Human Support Into Behavioral Intervention Technologies: The Efficiency Model of Support. Clinical Psychology: Science and Practice 2017;24(1):27
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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
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Aguilera A, Lyles CR. The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology. JMIR Diabetes 2017;2(1):e1
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Anderson JK, Wallace LM. 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
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Turvey CL, Roberts LJ. Recent developments in the use of online resources and mobile technologies to support mental health care. International Review of Psychiatry 2015;27(6):547
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Jago E, Gauthier AP, Pegoraro A, Dorman SC. 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
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Walsh DMJ, Moran K, Cornelissen V, Buys R, Claes J, Zampognaro P, Melillo F, Maglaveras N, Chouvarda I, Triantafyllidis A, Filos D, Woods CB. 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
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Dobkin BH, Martinez C. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice. Current Neurology and Neuroscience Reports 2018;18(12)
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Stiles-Shields C, Garcia B, Villota K, Wartman E, Winning AM, Holmbeck GN. 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
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Yin Z, Errisuriz VL, 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
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Adu MD, Malabu UH, Malau-Aduli AE, Drovandi A, Malau-Aduli BS. 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
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Taj F, Klein MCA, 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
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Bull S, Ezeanochie N. From Foucault to Freire Through Facebook. Health Education & Behavior 2016;43(4):399
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Hill C, Creswell C, Vigerland S, Nauta MH, March S, Donovan C, Wolters L, Spence SH, Martin JL, Wozney L, McLellan L, Kreuze L, Gould K, Jolstedt M, Nord M, Hudson JL, Utens E, Ruwaard J, Albers C, Khanna M, Albano AM, Serlachius E, Hrastinski S, Kendall PC. 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
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Shoneye CL, Mullan B, Begley A, Pollard CM, Jancey J, Kerr DA. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919
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Chandler CIR, Burchett H, Boyle L, Achonduh O, Mbonye A, DiLiberto D, Reyburn H, Onwujekwe O, Haaland A, Roca-Feltrer A, Baiden F, Mbacham WF, 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 KS, Hutchinson E, Cundill B, Yeung S, Schellenberg D, Staedke SG, Wiseman V, Lalloo DG, Whitty CJM. Examining Intervention Design: Lessons from the Development of Eight Related Malaria Health Care Intervention Studies. Health Systems & Reform 2016;2(4):373
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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
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Simoni JM, Ronen K, Aunon FM. Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review. Current HIV/AIDS Reports 2018;15(6):423
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Davis T, DiClemente RJ, 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
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Fallon EA, 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
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Van Voorhees BW, Gladstone T, Cordel S, Marko-Holguin M, Beardslee W, Kuwabara S, Kaplan MA, 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
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Stephan LS, Dytz Almeida E, Guimaraes RB, Ley AG, Mathias RG, Assis MV, Leiria TLL. Processes and Recommendations for Creating mHealth Apps for Low-Income Populations. JMIR mHealth and uHealth 2017;5(4):e41
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. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302
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Iacobelli F, Adler RF, Buitrago D, Buscemi J, Corden ME, Perez-Tamayo A, Penedo FJ, Rodriguez M, Yanez BR. 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
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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
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. The Behavioral Intervention Technology Model and Intervention Mapping: The Best of Both Worlds. Journal of Medical Internet Research 2014;16(8):e188
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Curtis KE, Lahiri S, Brown KE. 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
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Car J, Tan WS, Huang Z, Sloot P, Franklin BD. eHealth in the future of medications management: personalisation, monitoring and adherence. BMC Medicine 2017;15(1)
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Kringle EA, Setiawan IMA, Golias K, Parmanto B, Skidmore ER. Feasibility of an iterative rehabilitation intervention for stroke delivered remotely using mobile health technology. Disability and Rehabilitation: Assistive Technology 2020;15(8):908
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. 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
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Higinbotham MK, Emmert-Aronson B, Bunge EL. 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
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. Delivering “Just-In-Time” Smoking Cessation Support Via Mobile Phones: Current Knowledge and Future Directions: Table 1.. Nicotine & Tobacco Research 2016;:ntw143
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Schick RS, Kelsey TW, Marston J, Samson K, Humphris GW. 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)
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Azar KMJ, Bennett GG, Nolting LA, Rosas LG, Burke LE, Ma J. A framework for examining the function of digital health technologies for weight management. Translational Behavioral Medicine 2018;8(2):280
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Mohr DC, Schueller SM, Riley WT, Brown CH, Cuijpers P, Duan N, Kwasny MJ, 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
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Kerr DA, Harray AJ, Pollard CM, Dhaliwal SS, Delp EJ, Howat PA, Pickering MR, Ahmad Z, Meng X, Pratt IS, Wright JL, Kerr KR, Boushey CJ. 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)
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Meinlschmidt G, Lee J, Stalujanis E, Belardi A, Oh M, Jung EK, 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
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Sucala M, Ezeanochie NP, Cole-Lewis H, Turgiss J. An iterative, interdisciplinary, collaborative framework for developing and evaluating digital behavior change interventions. Translational Behavioral Medicine 2019;
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Stiles-Shields C, Crowe AN, Driscoll CFB, Ohanian DM, Stern A, Wartman E, Winning AM, Wafford QE, Lattie EG, Holmbeck GN. 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
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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
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Nolan RP, Feldman R, Dawes M, Kaczorowski J, Lynn H, Barr SI, 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)
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Hamaker EL, Grasman RPPP, Kamphuis JH. Modeling BAS Dysregulation in Bipolar Disorder. Assessment 2016;23(4):436
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