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
.
Journals
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Hanghøj S, Boisen K, Hjerming M, Pappot H. Adolescents’ and young adults’ experiences of a prototype cancer smartphone app. DIGITAL HEALTH 2021;7 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- De la Rosa-Gómez A, Waldherr K. Editorial: Highlights in digital mental health 2021/22. Frontiers in Digital Health 2023;4 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Chen E, Muessig K, Moracco K. Understanding the Acceptability of Health Apps among Adolescents: A Qualitative Study. ACI Open 2022;06(02):e103 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Leong U, Chakraborty B. Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review. JMIR mHealth and uHealth 2023;11:e44685 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Kang K, Park J. Dual verifications in mHealth apps: Supporting self-regulation or increasing friction?. Electronic Markets 2024;34(1) View
- 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
- Boucher E, Raiker J. Engagement and retention in digital mental health interventions: a narrative review. BMC Digital Health 2024;2(1) View
- Suffoletto B. Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health. Journal of Medical Internet Research 2024;26:e58726 View
- 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
- 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
- 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
- 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
- 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
- El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. View
- Martinho D, Carneiro J, Neves J, Novais P, Corchado J, Marreiros G. Progress in Artificial Intelligence. View
- Xu W, Legaspi R, Ishikawa Y. Persuasive Technology. View
- Sobolev M, Okeke F, Plonsky O. Persuasive Technology. View