This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3345) Digital Health Reviews (1318) Quantified Self and Wellness (78) mHealth for Wellness, Behavior Change and Prevention (2912) Prevention and Health Promotion (1003) Exercise and Diet Tracking for Diabetes Patients (85) Fitness Trackers and Smart Pedometers/Accelerometers (568)
Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

Authors of this article:

Aniek J Lentferink1, 2, 3 Author Orcid Image ;   Hilbrand KE Oldenhuis2 Author Orcid Image ;   Martijn de Groot3 Author Orcid Image ;   Louis Polstra2 Author Orcid Image ;   Hugo Velthuijsen2 Author Orcid Image ;   Julia EWC van Gemert-Pijnen1 Author Orcid Image
Article Authors Cited by (113) Tweetations (75) Metrics

Journals

  1. Ehn M, Eriksson L, Åkerberg N, Johansson A. Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences. JMIR mHealth and uHealth 2018;6(2):e34 View
  2. Alcántara-Aragón V, Rodrigo-Cano S, Lupianez-Barbero A, Martinez M, Martinez C, Tapia J, Iniesta J, Tenes S, Urgell E, Navarro G, Hernando M, Merino-Torres J, de Leiva A, Gonzalez C. Web Support for Weight-Loss Interventions: PREDIRCAM2 Clinical Trial Baseline Characteristics and Preliminary Results. Diabetes Technology & Therapeutics 2018;20(5):380 View
  3. van Velsen L, Broekhuis M, Jansen-Kosterink S, op den Akker H. Tailoring Persuasive Electronic Health Strategies for Older Adults on the Basis of Personal Motivation: Web-Based Survey Study. Journal of Medical Internet Research 2019;21(9):e11759 View
  4. Andreassen M, Hemmingsson H, Boman I, Danielsson H, Jaarsma T. Feasibility of an Intervention for Patients with Cognitive Impairment Using an Interactive Digital Calendar with Mobile Phone Reminders (RemindMe) to Improve the Performance of Activities in Everyday Life. International Journal of Environmental Research and Public Health 2020;17(7):2222 View
  5. Asbjørnsen R, Wentzel J, Smedsrød M, Hjelmesæth J, Clark M, Solberg Nes L, Van Gemert-Pijnen J. Identifying Persuasive Design Principles and Behavior Change Techniques Supporting End User Values and Needs in eHealth Interventions for Long-Term Weight Loss Maintenance: Qualitative Study. Journal of Medical Internet Research 2020;22(11):e22598 View
  6. Kwan R, Lee D, Lee P, Tse M, Cheung D, Thiamwong L, Choi K. Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e16596 View
  7. Radomski A, Wozney L, McGrath P, Huguet A, Hartling L, Dyson M, Bennett K, Newton A. Design and Delivery Features That May Improve the Use of Internet-Based Cognitive Behavioral Therapy for Children and Adolescents With Anxiety: A Realist Literature Synthesis With a Persuasive Systems Design Perspective. Journal of Medical Internet Research 2019;21(2):e11128 View
  8. 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
  9. 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
  10. Asbjørnsen R, Smedsrød M, Solberg Nes L, Wentzel J, Varsi C, Hjelmesæth J, van Gemert-Pijnen J. Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review. Journal of Medical Internet Research 2019;21(6):e14265 View
  11. Timmers T, Janssen L, Stohr J, Murk J, Berrevoets M. Using eHealth to Support COVID-19 Education, Self-Assessment, and Symptom Monitoring in the Netherlands: Observational Study. JMIR mHealth and uHealth 2020;8(6):e19822 View
  12. Fagherazzi G, Ravaud P. Digital diabetes: Perspectives for diabetes prevention, management and research. Diabetes & Metabolism 2019;45(4):322 View
  13. Murimi M, Nguyen B, Moyeda-Carabaza A, Lee H, Park O. Factors that contribute to effective online nutrition education interventions: a systematic review. Nutrition Reviews 2019;77(10):663 View
  14. Radomski A, Bagnell A, Curtis S, Hartling L, Newton A. Examining the Usage, User Experience, and Perceived Impact of an Internet-Based Cognitive Behavioral Therapy Program for Adolescents With Anxiety: Randomized Controlled Trial. JMIR Mental Health 2020;7(2):e15795 View
  15. Grande S, Longacre M, Palmblad K, Montan M, Berquist R, Hager A, Kotzbauer G. Empowering Young People Living With Juvenile Idiopathic Arthritis to Better Communicate With Families and Care Teams: Content Analysis of Semistructured Interviews. JMIR mHealth and uHealth 2019;7(2):e10401 View
  16. Nittas V, Lun P, Ehrler F, Puhan M, Mütsch M. Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review. Journal of Medical Internet Research 2019;21(10):e13320 View
  17. 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
  18. Patel M, Hopkins C, Brooks T, Bennett G. Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12209 View
  19. Christie H, Bartels S, Boots L, Tange H, Verhey F, de Vugt M. A systematic review on the implementation of eHealth interventions for informal caregivers of people with dementia. Internet Interventions 2018;13:51 View
  20. Lentferink A, Polstra L, D’Souza A, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. Creating value with eHealth: identification of the value proposition with key stakeholders for the resilience navigator app. BMC Medical Informatics and Decision Making 2020;20(1) View
  21. 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
  22. 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
  23. Hurmuz M, Jansen-Kosterink S, op den Akker H, Hermens H. User Experience and Potential Health Effects of a Conversational Agent-Based Electronic Health Intervention: Protocol for an Observational Cohort Study. JMIR Research Protocols 2020;9(4):e16641 View
  24. Oka R, Nomura A, Yasugi A, Kometani M, Gondoh Y, Yoshimura K, Yoneda T. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy 2019;10(3):1151 View
  25. Nelson L, Spieker A, Greevy R, LeStourgeon L, Wallston K, Mayberry L. User Engagement Among Diverse Adults in a 12-Month Text Message–Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e17534 View
  26. Champion K, Mather M, Spring B, Kay-Lambkin F, Teesson M, Newton N. Clustering of Multiple Risk Behaviors Among a Sample of 18-Year-Old Australians and Associations With Mental Health Outcomes: A Latent Class Analysis. Frontiers in Public Health 2018;6 View
  27. Irfan Khan A, Gill A, Cott C, Hans P, Steele Gray C. mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience. JMIR mHealth and uHealth 2018;6(8):e171 View
  28. 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
  29. Nelson E, Verhagen T, Vollenbroek-Hutten M, Noordzij M. Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment. JMIR mHealth and uHealth 2019;7(8):e12771 View
  30. Tropea P, Schlieter H, Sterpi I, Judica E, Gand K, Caprino M, Gabilondo I, Gomez-Esteban J, Busnatu S, Sinescu C, Kyriazakos S, Anwar S, Corbo M. Rehabilitation, the Great Absentee of Virtual Coaching in Medical Care: Scoping Review. Journal of Medical Internet Research 2019;21(10):e12805 View
  31. Kamali M, Angelini L, Caon M, Carrino F, Rocke C, Guye S, Rizzo G, Mastropietro A, Sykora M, Elayan S, Kniestedt I, Ziylan C, Lettieri E, Khaled O, Mugellini E. Virtual Coaches for Older Adults’ Wellbeing: A Systematic Review. IEEE Access 2020;8:101884 View
  32. Beerlage-de Jong N, Kip H, Kelders S. Evaluation of the Perceived Persuasiveness Questionnaire: User-Centered Card-Sort Study. Journal of Medical Internet Research 2020;22(10):e20404 View
  33. Depp C, Perivoliotis D, Holden J, Dorr J, Granholm E. Single-Session Mobile-Augmented Intervention in Serious Mental Illness: A Three-Arm Randomized Controlled Trial. Schizophrenia Bulletin 2019;45(4):752 View
  34. Kip H, Kelders S, Weerink K, Kuiper A, Brüninghoff I, Bouman Y, Dijkslag D, van Gemert-Pijnen L. Identifying the Added Value of Virtual Reality for Treatment in Forensic Mental Health: A Scenario-Based, Qualitative Approach. Frontiers in Psychology 2019;10 View
  35. Scott S, Duarte C, Encantado J, Evans E, Harjumaa M, Heitmann B, Horgan G, Larsen S, Marques M, Mattila E, Matos M, Mikkelsen M, Palmeira A, Pearson B, Ramsey L, Sainsbury K, Santos I, Sniehotta F, Stalker C, Teixeira P, Stubbs R. The NoHoW protocol: a multicentre 2×2 factorial randomised controlled trial investigating an evidence-based digital toolkit for weight loss maintenance in European adults. BMJ Open 2019;9(9):e029425 View
  36. Neil-Sztramko S, Belita E, Levinson A, Boyko J, Dobbins M. Evaluation of an online knowledge translation intervention to promote cancer risk reduction behaviours: findings from a randomized controlled trial. BMC Cancer 2019;19(1) View
  37. 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
  38. 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
  39. Wallace A, Bogard M, Zbikowski S. Intrapersonal Variation in Goal Setting and Achievement in Health Coaching: Cross-Sectional Retrospective Analysis. Journal of Medical Internet Research 2018;20(1):e32 View
  40. Nilsson L, Hellström A, Wennerberg C, Ekstedt M, Schildmeijer K. Patients’ experiences of using an e-Health tool for self-management support after prostate cancer surgery: a deductive interview study explained through the FITT framework. BMJ Open 2020;10(6):e035024 View
  41. Arens J, Hauth W, Weissmann J. Novel App- and Web-Supported Diabetes Prevention Program to Promote Weight Reduction, Physical Activity, and a Healthier Lifestyle: Observation of the Clinical Application. Journal of Diabetes Science and Technology 2018;12(4):831 View
  42. Nittas V, Mütsch M, Puhan M. Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study. JMIR Research Protocols 2020;9(2):e16087 View
  43. Tsiouris K, Tsakanikas V, Gatsios D, Fotiadis D. A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback. Frontiers in Digital Health 2020;2 View
  44. Palumbo F, Crivello A, Furfari F, Girolami M, Mastropietro A, Manferdelli G, Röcke C, Guye S, Salvá Casanovas A, Caon M, Carrino F, Abou Khaled O, Mugellini E, Denna E, Mauri M, Ward D, Subías-Beltrán P, Orte S, Candea C, Candea G, Rizzo G. “Hi This Is NESTORE, Your Personal Assistant”: Design of an Integrated IoT System for a Personalized Coach for Healthy Aging. Frontiers in Digital Health 2020;2 View
  45. Ehrlén V. Tracking oneself for others: communal and self-motivational value of sharing exercise data online. Leisure Studies 2021;40(4):545 View
  46. Brunet J, Price J, Delluc C. An exercise trial for adults undergoing neoadjuvant chemoradiotherapy for rectal cancer proves not feasible: recommendations for future trials. Trials 2021;22(1) View
  47. van der Windt M, van der Kleij R, Snoek K, Willemsen S, Dykgraaf R, Laven J, Schoenmakers S, Steegers-Theunissen R. Impact of a Blended Periconception Lifestyle Care Approach on Lifestyle Behaviors: Before-and-After Study. Journal of Medical Internet Research 2020;22(9):e19378 View
  48. Abouzahra M, Ghasemaghaei M. Effective use of information technologies by seniors: the case of wearable device use. European Journal of Information Systems 2022;31(2):241 View
  49. Chatterjee A, Gerdes M, Prinz A, Martinez S. Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions With Information and Communication Technology: Systematic Review. Journal of Medical Internet Research 2021;23(3):e23533 View
  50. Lentferink A, Noordzij M, Burgler A, Klaassen R, Derks Y, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. On the receptivity of employees to just-in-time self-tracking and eCoaching for stress management: a mixed-methods approach. Behaviour & Information Technology 2022;41(7):1398 View
  51. Schoufour J, Tieland M, Barazzoni R, Ben Allouch S, Bie J, Boirie Y, Cruz-Jentoft A, Eglseer D, Topinková E, Visser B, Voortman T, Tsagari A, Weijs P. The Relevance of Diet, Physical Activity, Exercise, and Persuasive Technology in the Prevention and Treatment of Sarcopenic Obesity in Older Adults. Frontiers in Nutrition 2021;8 View
  52. Tumuhimbise W, Musiimenta A. A review of mobile health interventions for public private mix in tuberculosis care. Internet Interventions 2021;25:100417 View
  53. Behr H, Ho A, Mitchell E, Yang Q, DeLuca L, Michealides A. How Do Emotions during Goal Pursuit in Weight Change over Time? Retrospective Computational Text Analysis of Goal Setting and Striving Conversations with a Coach during a Mobile Weight Loss Program. International Journal of Environmental Research and Public Health 2021;18(12):6600 View
  54. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. Journal of Medical Internet Research 2021;23(9):e25171 View
  55. Dolezel M, Smutny Z. Usage of eHealth/mHealth Services among Young Czech Adults and the Impact of COVID-19: An Explorative Survey. International Journal of Environmental Research and Public Health 2021;18(13):7147 View
  56. Toonders S, Poolman E, Nieboer M, Pisters M, Veenhof C. Healthcare professionals' perspectives on a blended care program in primary care; A qualitative study. Internet Interventions 2021;26:100440 View
  57. Chatterjee A, Prinz A, Gerdes M, Martinez S. Digital Interventions on Healthy Lifestyle Management: Systematic Review. Journal of Medical Internet Research 2021;23(11):e26931 View
  58. Kip H, Keizer J, da Silva M, Beerlage-de Jong N, Köhle N, Kelders S. Methods for Human-Centered eHealth Development: Narrative Scoping Review. Journal of Medical Internet Research 2022;24(1):e31858 View
  59. Nordgren L, von Heideken Wågert P, Söderlund A, Elvén M. The Mediating Role of Healthy Lifestyle Behaviours on the Association between Perceived Stress and Self-Rated Health in People with Non-Communicable Disease. International Journal of Environmental Research and Public Health 2022;19(19):12071 View
  60. Md Fadzil N, Shahar S, Rajikan R, Singh D, Mat Ludin A, Subramaniam P, Ibrahim N, Vanoh D, Mohamad Ali N. A Scoping Review for Usage of Telerehabilitation among Older Adults with Mild Cognitive Impairment or Cognitive Frailty. International Journal of Environmental Research and Public Health 2022;19(7):4000 View
  61. Kettunen E, Kari T, Frank L. Digital Coaching Motivating Young Elderly People towards Physical Activity. Sustainability 2022;14(13):7718 View
  62. Asbjørnsen R, Hjelmesæth J, Smedsrød M, Wentzel J, Ollivier M, Clark M, van Gemert-Pijnen J, Solberg Nes L. Combining Persuasive System Design Principles and Behavior Change Techniques in Digital Interventions Supporting Long-term Weight Loss Maintenance: Design and Development of eCHANGE. JMIR Human Factors 2022;9(2):e37372 View
  63. Bergevi J, Andermo S, Woldamanuel Y, Johansson U, Hagströmer M, Rossen J. User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review. JMIR Human Factors 2022;9(2):e34278 View
  64. Pilgrim K, Bohnet-Joschko S. Effectiveness of Digital Forced-Choice Nudges for Voluntary Data Donation by Health Self-trackers in Germany: Web-Based Experiment. Journal of Medical Internet Research 2022;24(2):e31363 View
  65. Alenoghena C, Onumanyi A, Ohize H, Adejo A, Oligbi M, Ali S, Okoh S. eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions. International Journal of Environmental Research and Public Health 2022;19(20):13071 View
  66. Cruz-Martínez R, Wentzel J, Sanderman R, van Gemert-Pijnen J. Tailoring eHealth design to support the self-care needs of patients with cardiovascular diseases: a vignette survey experiment. Behaviour & Information Technology 2022;41(14):3065 View
  67. Albers N, Neerincx M, Penfornis K, Brinkman W. Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study. PeerJ 2022;10:e13824 View
  68. Koivuniemi E, Raats M, Ollila H, Löyttyniemi E, Laitinen K. Characterising the use, users and effects of a health app supporting lifestyle changes in pregnant women. British Journal of Nutrition 2023;130(3):433 View
  69. Hori J, Sia E, Lockwood K, Auster-Gussman L, Rapoport S, Branch O, Graham S. Discovering Engagement Personas in a Digital Diabetes Prevention Program. Behavioral Sciences 2022;12(6):159 View
  70. Brons A, Braam K, Broekema A, Timmerman A, Millenaar K, Engelbert R, Kröse B, Visser B. Translating Promoting Factors and Behavior Change Principles Into a Blended and Technology-Supported Intervention to Stimulate Physical Activity in Children With Asthma (Foxfit): Design Study. JMIR Formative Research 2022;6(7):e34121 View
  71. Sikalidis A, Kristo A, Reaves S, Kurfess F, DeLay A, Vasilaky K, Donegan L. Capacity Strengthening Undertaking—Farm Organized Response of Workers against Risk for Diabetes: (C.S.U.—F.O.R.W.A.R.D. with Cal Poly)—A Concept Approach to Tackling Diabetes in Vulnerable and Underserved Farmworkers in California. Sensors 2022;22(21):8299 View
  72. Angelini L, El Kamali M, Mugellini E, Abou Khaled O, Röcke C, Porcelli S, Mastropietro A, Rizzo G, Boqué N, del Bas J, Palumbo F, Girolami M, Crivello A, Ziylan C, Subías-Beltrán P, Orte S, Standoli C, Fernandez Maldonado L, Caon M, Sykora M, Elayan S, Guye S, Andreoni G. The NESTORE e-Coach: Designing a Multi-Domain Pathway to Well-Being in Older Age. Technologies 2022;10(2):50 View
  73. Graham S, Pitter V, Hori J, Stein N, Branch O. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306 View
  74. Collombon E, Bolman C, Peels D, de Bruijn G, de Groot R, Lechner L. Adding Mobile Elements to Online Physical Activity Interventions Targeted at Adults Aged 50 Years and Older: Protocol for a Systematic Design. JMIR Research Protocols 2022;11(7):e31677 View
  75. Kytö M, Koivusalo S, Ruonala A, Strömberg L, Tuomonen H, Heinonen S, Jacucci G. Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features. JMIR Human Factors 2022;9(4):e36987 View
  76. Toonders S, van Westrienen P, Konings S, Nieboer M, Veenhof C, Pisters M. Patients’ Perspectives on the Usability of a Blended Approach to an Integrated Intervention for Patients With Medically Unexplained Physical Symptoms: Mixed Methods Study. Journal of Medical Internet Research 2021;23(9):e19794 View
  77. Jiang Y, Ding X, Liu D, Gui X, Zhang W, Zhang W. Designing intelligent self-checkup based technologies for everyday healthy living. International Journal of Human-Computer Studies 2022;166:102866 View
  78. Patel M, Cleare A, Smith C, Rosas L, King A. Detailed Versus Simplified Dietary Self-monitoring in a Digital Weight Loss Intervention Among Racial and Ethnic Minority Adults: Fully Remote, Randomized Pilot Study. JMIR Formative Research 2022;6(12):e42191 View
  79. Kytö M, Strömberg L, Tuomonen H, Ruonala A, Koivusalo S, Jacucci G. Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features. International Journal of Human–Computer Interaction 2022;38(12):1095 View
  80. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  81. Ekstedt M, Kirsebom M, Lindqvist G, Kneck Å, Frykholm O, Flink M, Wannheden C. Design and Development of an eHealth Service for Collaborative Self-Management among Older Adults with Chronic Diseases: A Theory-Driven User-Centered Approach. International Journal of Environmental Research and Public Health 2021;19(1):391 View
  82. Pilgrim K, Bohnet-Joschko S. Donating Health Data to Research: Influential Characteristics of Individuals Engaging in Self-Tracking. International Journal of Environmental Research and Public Health 2022;19(15):9454 View
  83. van de Belt T, de Croon A, Freriks F, Blomseth Christiansen T, Eg Larsen J, de Groot M. Barriers to and Facilitators of Using a One Button Tracker and Web-Based Data Analytics Tool for Personal Science: Exploratory Study. JMIR Formative Research 2022;6(3):e32704 View
  84. Kinouchi K, Ohashi K. Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis. JMIR Formative Research 2022;6(5):e35471 View
  85. Cruz-Martínez R, Wentzel J, Bente B, Sanderman R, van Gemert-Pijnen J. Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis. JMIR Cardio 2021;5(2):e31985 View
  86. Wolfstadt J, Soong C, Ward S. Improving patient outcomes following total joint arthroplasty: is there an app for that?. BMJ Quality & Safety 2019;28(10):775 View
  87. Chong M, Sit J, Karthikesu K, Chair S. Effectiveness of technology-assisted cardiac rehabilitation: A systematic review and meta-analysis. International Journal of Nursing Studies 2021;124:104087 View
  88. Lehmann L, Nittas V, Siebertz L, Martin A. Apps in der Dermatologie: Chancen und Limitationen im Hinblick auf Prävention, Behandlung, Datenschutz und Patientensicherheit. Kompass Dermatologie 2020;8(4):160 View
  89. Hinze A, Bowen J, König J. Wearable technology for hazardous remote environments: Smart shirt and Rugged IoT network for forestry worker health. Smart Health 2022;23:100225 View
  90. Przybylko G, Morton D, Morton J, Renfrew M. The Influence of Gender and Age on the Outcomes of and Adherence to a Digital Interdisciplinary Mental Health Promotion Intervention in an Australasian Nonclinical Setting: Cohort Study. JMIR Mental Health 2021;8(11):e29866 View
  91. Lentferink A, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. How Reflective Automated e-Coaching Can Help Employees Improve Their Capacity for Resilience: Mixed Methods Study. JMIR Human Factors 2023;10:e34331 View
  92. Silva M, Hay-Smith E, Graham F. Exploring the Use of the Behavior Change Technique Taxonomy and the Persuasive System Design Model in Defining Parent-Focused eHealth Interventions: Scoping Review. Journal of Medical Internet Research 2023;25:e42083 View
  93. Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
  94. Vemuri A, Heintzelman M, Waad A, Mauriello M, Decker K, Dominick G. Towards Dynamic Action Planning with user preferences in Automated Health Coaching. Smart Health 2023;28:100389 View
  95. Balci S, Küchler A, Ebert D, Baumeister H. An online mindfulness intervention for international students: A randomized controlled feasibility trial. Clinical Psychology in Europe 2023;5(2) View
  96. Kettunen E, Kari T, Critchley W, Frank L. Critical experiences with sport and wellness technology digital coach – differences between young adults and young elderly. Behaviour & Information Technology 2024;43(12):3010 View
  97. Abbas S, Salama H, Nour-Eldein H, Ahmed H. Health coaching for hypertension control in primary care patients with uncontrolled hypertension in Egypt. Journal of Family and Community Medicine 2024;31(1):16 View
  98. Kwok I, Lattie E, Yang D, Summers A, Cotten P, Leong C, Moskowitz J. Developing Social Enhancements for a Web-Based, Positive Emotion Intervention for Alzheimer Disease Caregivers: Qualitative Focus Group and Interview Study. JMIR Formative Research 2024;8:e50234 View
  99. Nelson E, Verhagen T, Vollenbroek-Hutten M, Noordzij M. When it is part of me, I can do it: Using embodied empowerment to predict adherence to wearable self-care technology. Computers in Human Behavior 2024;158:108314 View
  100. Ku C, Tan Y, Tan S, Ku C, Godfrey K, Tan K, Chan S, Yang L, Yap F, Loy S, Chan J. Holistic preconception care: Providing real-time guidance via a mobile app to optimise maternal and child health. Annals of the Academy of Medicine, Singapore 2024;53(5):306 View
  101. Suzuki A, Ginsborg J, Phillips M, Franklin Z. Developing an Online Intervention to Equip Tertiary Piano Students With Skills and Strategies for Effective Practice. Music & Science 2024;7 View
  102. Huillard M, Hartmann-Tews I. A scoping review of studies on self-tracking for weight management: Social contexts and experiences of a practice. New Media & Society 2024 View
  103. Wildeboer E, Andrea B, Weiss S, Corkum P. Understanding levels of engagement and readiness for change in an eHealth sleep program for children with neurodevelopmental disorders. Frontiers in Sleep 2024;3 View
  104. Hawkes R, Pegington M, Davies A, Mueller J, Howell A, Evans D, Howell S, French D, Harvie M. Experiences of a Digital Behavior Change Intervention to Prevent Weight Gain and Promote Risk-Reducing Health Behaviors for Women Aged 18 to 35 Years at Increased Risk of Breast Cancer: Qualitative Interview Study. JMIR Cancer 2024;10:e57964 View

Books/Policy Documents

  1. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. View
  2. Lentferink A, Polstra L, de Groot M, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. Persuasive Technology. View
  3. Agarwal S, Alhuwail D, John O. Handbook of Global Health. View
  4. Agarwal S, Alhuwail D, John O. Handbook of Global Health. View
  5. Röcke C, Angelini L, Guye S, El Kamali M, Caon M, Khaled O, Mugellini E. Digital Health Technology for Better Aging. View