Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10123, first published .
To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

Journals

  1. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  2. Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review. Journal of Medical Internet Research 2020;22(5):e17572 View
  3. Stassen G, Grieben C, Froböse I, Schaller A. Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis. International Journal of Environmental Research and Public Health 2020;17(7):2180 View
  4. Güreş N, Arslan S, Yüksel C, Yılmaz H. MOBİL UYGULAMAYA SAHİP HAVAYOLU İŞLETMELERİNİN YOLCULARA YÖNELİK HİZMETLERİNİN ARAŞTIRILMASI. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2019 View
  5. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  6. Røed M, Vik F, Hillesund E, Van Lippevelde W, Medin A, Øverby N. Process Evaluation of an eHealth Intervention (Food4toddlers) to Improve Toddlers' Diet: Randomized Controlled Trial. JMIR Human Factors 2020;7(3):e18171 View
  7. Nordstoga A, Bach K, Sani S, Wiratunga N, Mork P, Villumsen M, Cooper K. Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e18729 View
  8. Li S, Psihogios A, McKelvey E, Ahmed A, Rabbi M, Murphy S. Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example. Current Opinion in Systems Biology 2020;21:1 View
  9. 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
  10. Güreş N, Arslan S, Yüksel C, Yılmaz H. MOBİL UYGULAMAYA SAHİP HAVAYOLU İŞLETMELERİNİN YOLCULARA YÖNELİK HİZMETLERİNİN ARAŞTIRILMASI. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2019 View
  11. 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
  12. Quinn C, Hides L, de Andrade D, Pocuca N, Wilson M, Kavanagh D. Impact of a brief psychoeducational intervention for reducing alcohol use and related harm in school leavers. Drug and Alcohol Review 2019;38(4):339 View
  13. NeCamp T, Sen S, Frank E, Walton M, Ionides E, Fang Y, Tewari A, Wu Z. Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial. Journal of Medical Internet Research 2020;22(3):e15033 View
  14. White B, Giglia R, White J, Dhaliwal S, Burns S, Scott J. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157 View
  15. Ziesemer K, König L, Boushey C, Villinger K, Wahl D, Butscher S, Müller J, Reiterer H, Schupp H, Renner B. Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies. JMIR mHealth and uHealth 2020;8(10):e15430 View
  16. Psihogios A, Li Y, Butler E, Hamilton J, Daniel L, Barakat L, Bonafide C, Schwartz L. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer. JMIR mHealth and uHealth 2019;7(4):e12547 View
  17. Bell L, Garnett C, Qian T, Perski O, Potts H, Williamson E. Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial. JMIR Research Protocols 2020;9(8):e18690 View
  18. Hanghøj S, Boisen K, Hjerming M, Pappot H. Adolescents’ and young adults’ experiences of a prototype cancer smartphone app. DIGITAL HEALTH 2021;7 View
  19. Qian T, Yoo H, Klasnja P, Almirall D, Murphy S. Estimating time-varying causal excursion effects in mobile health with binary outcomes. Biometrika 2021;108(3):507 View
  20. Venning A, Herd M, Oswald T, Razmi S, Glover F, Hawke T, Quartermain V, Redpath P. Exploring the acceptability of a digital mental health platform incorporating a virtual coach: The good, the bad, and the opportunities. Health Informatics Journal 2021;27(1) View
  21. Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts H. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(12):e23369 View
  22. Valle C, Nezami B, Tate D. Designing in-app messages to nudge behavior change: Lessons learned from a weight management app for young adults. Organizational Behavior and Human Decision Processes 2020;161:95 View
  23. Dempsey W, Liao P, Kumar S, Murphy S. The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments. The Annals of Applied Statistics 2020;14(2) View
  24. Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. Journal of Medical Internet Research 2020;22(12):e21687 View
  25. 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
  26. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  27. Zhang Z, Miehle J, Matsuda Y, Fujimoto M, Arakawa Y, Yasumoto K, Minker W. Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System. IEEE Access 2021;9:74778 View
  28. Muijs L, de Wit M, Knoop H, Snoek F. Feasibility and user experience of the unguided web-based self-help app ‘MyDiaMate’ aimed to prevent and reduce psychological distress and fatigue in adults with diabetes. Internet Interventions 2021;25:100414 View
  29. Dinkel D, Harsh Caspari J, Fok L, Notice M, Johnson D, Watanabe-Galloway S, Emerson M. A qualitative exploration of the feasibility of incorporating depression apps into integrated primary care clinics. Translational Behavioral Medicine 2021;11(9):1708 View
  30. Rüther D, Sebode M, Lohse A, Wernicke S, Böttinger E, Casar C, Braun F, Schramm C. Mobile app requirements for patients with rare liver diseases: A single center survey for the ERN RARE-LIVER‬‬‬. Clinics and Research in Hepatology and Gastroenterology 2021;45(6):101760 View
  31. Workman A, Johnston F, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Jones P. Evaluating User Preferences, Comprehension, and Trust in Apps for Environmental Health Hazards: Qualitative Case Study. JMIR Formative Research 2022;6(12):e38471 View
  32. Li S, Halabi R, Selvarajan R, Woerner M, Fillipo I, Banerjee S, Mosser B, Jain F, Areán P, Pratap A. Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study. JMIR Formative Research 2022;6(11):e40765 View
  33. Nahum-Shani I, Dziak J, Wetter D. MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions. Frontiers in Digital Health 2022;4 View
  34. Lindsay N, Baker T, Calder-Dawe O. Mental coaching through crisis: digital technologies and psychological governance during COVID-19. Critical Public Health 2022;32(1):104 View
  35. Burke L, Sereika S, Bizhanova Z, Parmanto B, Kariuki J, Cheng J, Beatrice B, Cedillo M, Pulantara I, Wang Y, Loar I, Conroy M. The Effect of Tailored, Daily, Smartphone Feedback to Lifestyle Self-Monitoring on Weight Loss at 12 Months: the SMARTER Randomized Clinical Trial. Journal of Medical Internet Research 2022;24(7):e38243 View
  36. Stewart C, Ranjan Y, Conde P, Rashid Z, Sankesara H, Bai X, Dobson R, Folarin A. Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study). JMIR Research Protocols 2021;10(12):e32587 View
  37. Moon K, Sobolev M, Grella M, Alvarado G, Sapra M, Ball T. An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study. JMIR Formative Research 2022;6(7):e36021 View
  38. Gan D, McGillivray L, Larsen M, Christensen H, Torok M. Technology-supported strategies for promoting user engagement with digital mental health interventions: A systematic review. DIGITAL HEALTH 2022;8:205520762210982 View
  39. Phatsoane Gaven M, Quaife M, Majam M, Singh L, Rhagnath N, Wonderlik T, Gumede S. HIV self-test reporting using mHealth platforms: A pilot study in Johannesburg, South Africa. Frontiers in Reproductive Health 2023;5 View
  40. Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research 2022;6(6):e35118 View
  41. Trinquart L, Liu C, McManus D, Nowak C, Lin H, Spartano N, Borrelli B, Benjamin E, Murabito J. Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e40784 View
  42. Carvalho C, Prando B, Dantas L, Serrão P. Mobile health technologies for the management of spine disorders: A systematic review of mHealth applications in Brazil. Musculoskeletal Science and Practice 2022;60:102562 View
  43. Kaye L, Gondalia R, Thompson A, Stempel D, Barrett M. The relationship between objective app engagement and medication adherence in asthma and COPD: a retrospective analysis. Scientific Reports 2021;11(1) View
  44. Fronczek L, Mende M, Scott M, Nenkov G, Gustafsson A. Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers?. Journal of the Academy of Marketing Science 2023;51(5):1075 View
  45. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  46. De la Rosa-Gómez A, Waldherr K. Editorial: Highlights in digital mental health 2021/22. Frontiers in Digital Health 2023;4 View
  47. 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
  48. He Z, Tian S, Singh A, Chakraborty S, Zhang S, Lustria M, Charness N, Roque N, Harrell E, Boot W. A Machine-Learning Based Approach for Predicting Older Adults’ Adherence to Technology-Based Cognitive Training. Information Processing & Management 2022;59(5):103034 View
  49. Hoepper B, Siegel K, Carlon H, Kahler C, Park E, Taylor S, Simpson H, Hoeppner S. Feature-Level Analysis of a Smoking Cessation Smartphone App Based on a Positive Psychology Approach: Prospective Observational Study. JMIR Formative Research 2022;6(7):e38234 View
  50. Bührmann L, Van Daele T, Rinn A, De Witte N, Lehr D, Aardoom J, Loheide-Niesmann L, Smit J, Riper H. The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research. Frontiers in Digital Health 2022;4 View
  51. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  52. Militello L, Sobolev M, Okeke F, Adler D, Nahum-Shani I. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study. JMIR Formative Research 2022;6(3):e30606 View
  53. Broffman L, Harrison S, Zhao M, Goldman A, Patnaik I, Zhou M. The Relationship Between Broadband Speeds, Device Type, Demographic Characteristics, and Care-Seeking Via Telehealth. Telemedicine and e-Health 2023;29(3):425 View
  54. Gan D, McGillivray L, Han J, Christensen H, Torok M. Effect of Engagement With Digital Interventions on Mental Health Outcomes: A Systematic Review and Meta-Analysis. Frontiers in Digital Health 2021;3 View
  55. Wlasak W, Zwanenburg S, Paton C. Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment. JMIR Formative Research 2023;7:e38500 View
  56. Chatterjee P, Beck A, Brager J, Durand D, D'Adamo C. The Effect of an Automated Mobile Patient Engagement Application on Emergency Department Revisits: Prospective Observational Study. JMIR Formative Research 2021;5(12):e17839 View
  57. Kloos N, Austin J, van ‘t Klooster J, Drossaert C, Bohlmeijer E. Appreciating the Good Things in Life During the Covid-19 Pandemic: A Randomized Controlled Trial and Evaluation of a Gratitude App. Journal of Happiness Studies 2022;23(8):4001 View
  58. White K, Matcham F, Leightley D, Carr E, Conde P, Dawe-Lane E, Ranjan Y, Simblett S, Henderson C, Hotopf M. Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial. JMIR Research Protocols 2021;10(12):e32653 View
  59. Coughlin J, Martin L, Zhao D, Goheer A, Woolf T, Holzhauer K, Lehmann H, Lent M, McTigue K, Clark J, Bennett W. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191 View
  60. Chen E, Muessig K, Moracco K. Understanding the Acceptability of Health Apps among Adolescents: A Qualitative Study. ACI Open 2022;06(02):e103 View
  61. Coughlin L, Salino S, Jennings C, Lacek M, Townsend W, Koffarnus M, Bonar E. A systematic review of remotely delivered contingency management treatment for substance use. Journal of Substance Use and Addiction Treatment 2023;147:208977 View
  62. 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
  63. Lu X, Thomaz E, Epstein D. Understanding People's Perceptions of Approaches to Semi-Automated Dietary Monitoring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(3):1 View
  64. Jankovič A, Kolenik T, Pejović V. Can Personalization Persuade? Study of Notification Adaptation in Mobile Behavior Change Intervention Application. Behavioral Sciences 2022;12(5):116 View
  65. Wiegel J, Seppen B, Nurmohamed M, ter Wee M, Bos W. Predictors for response to electronic patient-reported outcomes in routine care in patients with rheumatoid arthritis: a retrospective cohort study. Rheumatology International 2023;43(4):651 View
  66. West D, Krukowski R, Stansbury M, Ogden D, Borden J, Harvey J. Examining weekly facilitated group sessions and counselor‐crafted self‐monitoring feedback on treatment outcome in digital weight control: A pilot factorial study. Obesity Science & Practice 2022;8(4):433 View
  67. Connelly Y, Lotan R, Brzezinski Sinai Y, Rolls D, Beker A, Abensour E, Neudorfer O, Stocki D. Implementation of a Personalized Digital App for Pediatric Preanesthesia Evaluation and Education: Ongoing Usability Analysis and Dynamic Improvement Scheme. JMIR Formative Research 2022;6(5):e34129 View
  68. Paganin G, Simbula S. New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?. International Journal of Environmental Research and Public Health 2021;18(17):9366 View
  69. Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246 View
  70. Hoffmann C, Schaller A. Evaluation of the communication strategy for promoting physical activity in a cross-company network in Germany: A mixed-methods analysis. Frontiers in Public Health 2022;10 View
  71. Bell L, Garnett C, Bao Y, Cheng Z, Qian T, Perski O, Potts H, Williamson E. How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial. JMIR mHealth and uHealth 2023;11:e38342 View
  72. Madujibeya I, Lennie T, Pelzel J, Moser D. Patients’ Experiences Using a Mobile Health App for Self-Care of Heart Failure in a Real-World Setting: Qualitative Analysis. JMIR Formative Research 2023;7:e39525 View
  73. Sobolev M, Anand A, Dziak J, Potter L, Lam C, Wetter D, Nahum-Shani I. Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies. Frontiers in Digital Health 2023;5 View
  74. Ader L, Schick A, Löffler M, Löffler A, Beiner E, Eich W, Vock S, Sirazitdinov A, Malone C, Hesser J, Hopp M, Ruckes C, Flor H, Tesarz J, Reininghaus U. Refocusing of Attention on Positive Events Using Monitoring-Based Feedback and Microinterventions for Patients With Chronic Musculoskeletal Pain in the PerPAIN Randomized Controlled Trial: Protocol for a Microrandomized Trial. JMIR Research Protocols 2023;12:e43376 View
  75. Tokede B, Yansane A, Ibarra-Noriega A, Mullins J, Simmons K, Skourtes N, Mehta U, Tungare S, Holmes D, White J, Walji M, Kalenderian E. Evaluating the Impact of an mHealth Platform for Managing Acute Postoperative Dental Pain: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e49677 View
  76. Lipschitz J, Pike C, Hogan T, Murphy S, Burdick K. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119 View
  77. Niranjan B, de Courten M, Iyngkaran P, Battersby M. Malthusian Trajectory for Heart Failure and Novel Translational Ambulatory Technologies. Current Cardiology Reviews 2023;19(3) View
  78. Moungui H, Nana-Djeunga H, Anyiang C, Cano M, Ruiz Postigo J, Carrion C. Dissemination Strategies for mHealth Apps: Systematic Review. JMIR mHealth and uHealth 2024;12:e50293 View
  79. Yan X, Newman M, Park S, Sander A, Choi S, Miner J, Wu Z, Carlozzi N. Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners. JMIR Formative Research 2023;7:e47813 View
  80. Petrinec A, Wilk C, Hughes J, Zullo M, George R. Self-Care Mental Health App Intervention for Post–Intensive Care Syndrome–Family: A Randomized Pilot Study. American Journal of Critical Care 2023;32(6):440 View
  81. Leong U, Chakraborty B. Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review. JMIR mHealth and uHealth 2023;11:e44685 View
  82. Zhao L, Bidargaddi N, Vakulin A, Li W, Luscombe‐Marsh N, Benton F, Adams R, Kemps E, Vincent A, Heilbronn L, Wittert G. A micro‐randomized pilot study to examine the impact of just‐in‐time nudging on after‐dinner snacking in adults with type 2 diabetes: A study protocol. Diabetes, Obesity and Metabolism 2023;25(9):2439 View
  83. Xu J, Yan X, Figueroa C, Williams J, Chakraborty B. A flexible micro-randomized trial design and sample size considerations. Statistical Methods in Medical Research 2023;32(9):1766 View
  84. White K, Carr E, Leightley D, Matcham F, Conde P, Ranjan Y, Simblett S, Dawe-Lane E, Williams L, Henderson C, Hotopf M. Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e44214 View
  85. Paganin G, Margheritti S, Farhane-Medina N, Simbula S, Mazzetti G. Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention. Healthcare 2023;11(23):3030 View
  86. King Z, Yu H, Vaessen T, Myin-Germeys I, Sano A. Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study. JMIR mHealth and uHealth 2024;12:e46347 View
  87. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  88. Shanmugavel A, Shakya P, Shrestha A, Nepal J, Shrestha A, Daneault J, Rawal S. Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study. JMIR Formative Research 2024;8:e50823 View
  89. Chong S, Pedron S, Abdelmalak N, Laxy M, Stephan A. An umbrella review of effectiveness and efficacy trials for app-based health interventions. npj Digital Medicine 2023;6(1) View
  90. Faria B, Carvalho C, Triches M, Vieira L, Sato T. Mobile health technologies for workers’ health and wellbeing: A systematic search of mHealth applications in Brazil. Journal of Bodywork and Movement Therapies 2024;38:54 View
  91. Butler S, Sculley D, Santos D, Girones X, Singh-Grewal D, Coda A. Using Digital Health Technologies to Monitor Pain, Medication Adherence and Physical Activity in Young People with Juvenile Idiopathic Arthritis: A Feasibility Study. Healthcare 2024;12(3):392 View
  92. McAlpine R, Sacchet M, Simonsson O, Khan M, Krajnovic K, Morometescu L, Kamboj S. Development of a digital intervention for psychedelic preparation (DIPP). Scientific Reports 2024;14(1) View
  93. Oehm J, Riepenhausen S, Storck M, Dugas M, Pryss R, Varghese J. Integration of Patient-Reported Outcome Data Collected Via Web Applications and Mobile Apps Into a Nation-Wide COVID-19 Research Platform Using Fast Healthcare Interoperability Resources: Development Study. Journal of Medical Internet Research 2024;26:e47846 View
  94. Hawkes R, Benton J, Cotterill S, Sanders C, French D. Service Users’ Experiences of a Nationwide Digital Type 2 Diabetes Self-Management Intervention (Healthy Living): Qualitative Interview Study. JMIR Diabetes 2024;9:e56276 View
  95. Milne-Ives M, Rahman E, Bradwell H, Baines R, Boey T, Potter A, Lawrence W, Helena van Velthoven M, Meinert E, Ayatollahi H. Barriers and facilitators to parents’ engagement with and perceived impact of a childhood obesity app: A mixed-methods study. PLOS Digital Health 2024;3(3):e0000481 View
  96. Franco P, Olhaberry M, Kelders S, Muzard A, Cuijpers P. Guided web app intervention for reducing symptoms of depression in postpartum women: Results of a feasibility randomized controlled trial. Internet Interventions 2024;36:100744 View
  97. Trần T, Ambrens M, Nguyễn J, Coleman E, Gilanyi Y, Letton M, Pandit A, Lock L, Thom J, Sen S, Lambert K, Arnold R. Preferences of people with chronic kidney disease regarding digital health interventions that promote healthy lifestyle: qualitative systematic review with meta-ethnography. BMJ Open 2024;14(5):e082345 View
  98. Gray L, Marcynikola N, Barnett I, Torous J. The Potential for Digital Phenotyping in Understanding Mindfulness App Engagement Patterns: A Pilot Study. Journal of Integrative and Complementary Medicine 2024;30(11):1108 View
  99. Kang K, Park J. Dual verifications in mHealth apps: Supporting self-regulation or increasing friction?. Electronic Markets 2024;34(1) View
  100. Suh J, Howe E, Lewis R, Hernandez J, Saha K, Althoff T, Czerwinski M. Toward Tailoring Just-in-Time Adaptive Intervention Systems for Workplace Stress Reduction: Exploratory Analysis of Intervention Implementation. JMIR Mental Health 2024;11:e48974 View
  101. Boucher E, Raiker J. Engagement and retention in digital mental health interventions: a narrative review. BMC Digital Health 2024;2(1) View
  102. Suffoletto B. Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health. Journal of Medical Internet Research 2024;26:e58726 View
  103. Golsong K, Kaufmann L, Baldofski S, Kohls E, Rummel-Kluge C. Feasibility, Acceptability, and User Satisfaction of an App–Based Support Service during the COVID-19 Pandemic in a Psychiatric Outpatient Setting: Prospective Longitudinal Observational Study (Preprint). JMIR Formative Research 2024 View
  104. Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos L, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Dias S, Oikonomidis Y, María Botana J, Leoni R, Russell D, Mantovani E, Aleksić M, Brkić B, Hassapidou M, Pagkalos I. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024;14(10):1238 View
  105. Rezaee R, Ghaffari M, Rabiei R, Kavousi A, Rakhshanderou S. Requirements and Key Features of a Mobile Application for Adolescent Self-Care From a Stakeholders Perspective: A Qualitative Study. Journal of Prevention 2024;45(6):861 View
  106. Hurley L, Nezami B, Valle C, Tate D. Motivated information avoidance in an mHealth weight loss intervention: Associations between unmet behavioral goals and likelihood of viewing program messages. DIGITAL HEALTH 2024;10 View
  107. Symons M, Rahmani M, Rudnicki K, Cutello C, Poels K, Vandebosch H. Cognitive Fatigue, Humor, and Physical Activity: A Field Experiment Testing Whether Humorous Messages Promote Walking in Cognitively Fatigued Individuals. Health Communication 2024:1 View

Books/Policy Documents

  1. El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. View
  2. Martinho D, Carneiro J, Neves J, Novais P, Corchado J, Marreiros G. Progress in Artificial Intelligence. View
  3. Xu W, Legaspi R, Ishikawa Y. Persuasive Technology. View
  4. Sobolev M, Okeke F, Plonsky O. Persuasive Technology. View