Published on in Vol 20, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9397, first published .
Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Journals

  1. Wahl D, Villinger K, Blumenschein M, König L, Ziesemer K, Sproesser G, Schupp H, Renner B. Why We Eat What We Eat: Assessing Dispositional and In-the-Moment Eating Motives by Using Ecological Momentary Assessment. JMIR mHealth and uHealth 2020;8(1):e13191 View
  2. Perski O, Lumsden J, Garnett C, Blandford A, West R, Michie S. Assessing the Psychometric Properties of the Digital Behavior Change Intervention Engagement Scale in Users of an App for Reducing Alcohol Consumption: Evaluation Study. Journal of Medical Internet Research 2019;21(11):e16197 View
  3. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  4. Claassen A, Vliet Vlieland T, Busch V, Schers H, van den Hoogen F, van den Ende C. An Electronic Health Tool to Prepare for the First Orthopedic Consultation: Use and Usability Study. JMIR Formative Research 2019;3(4):e13577 View
  5. 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
  6. Ybarra M, Prescott T, Mustanski B, Parsons J, Bull S. Feasibility, Acceptability, and Process Indicators for Guy2Guy, an mHealth HIV Prevention Program for Sexual Minority Adolescent Boys. Journal of Adolescent Health 2019;65(3):417 View
  7. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón C, Bamidis P, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530 View
  8. Nordholt P, Christalle E, Zill J, Dirmaier J. Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(11):e18826 View
  9. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802 View
  10. Pelle T, Bevers K, van der Palen J, van den Hoogen F, van den Ende C. Effect of the dr. Bart application on healthcare use and clinical outcomes in people with osteoarthritis of the knee and/or hip in the Netherlands; a randomized controlled trial. Osteoarthritis and Cartilage 2020;28(4):418 View
  11. Short C, Trinh L, James E. Effective Technology-based Behaviour Change Interventions in Prostate Cancer Supportive Care: Are We There Yet?. European Urology 2019;75(6):959 View
  12. Whatnall M, Patterson A, Chiu S, Oldmeadow C, Hutchesson M. Feasibility and Preliminary Efficacy of the Eating Advice to Students (EATS) Brief Web-Based Nutrition Intervention for Young Adult University Students: A Pilot Randomized Controlled Trial. Nutrients 2019;11(4):905 View
  13. Baranowski T, Lyons E. Scoping Review of Pokémon Go: Comprehensive Assessment of Augmented Reality for Physical Activity Change. Games for Health Journal 2020;9(2):71 View
  14. Hadjistavropoulos H, Mehta S, Wilhelms A, Keough M, Sundström C. A systematic review of internet-delivered cognitive behavior therapy for alcohol misuse: study characteristics, program content and outcomes. Cognitive Behaviour Therapy 2020;49(4):327 View
  15. Kazlauskas E, Eimontas J, Olff M, Zelviene P, Andersson G. Adherence Predictors in Internet-Delivered Self-Help Intervention for Life Stressors-Related Adjustment Disorder. Frontiers in Psychiatry 2020;11 View
  16. Martin A, Caon M, Adorni F, Andreoni G, Ascolese A, Atkinson S, Bul K, Carrion C, Castell C, Ciociola V, Condon L, Espallargues M, Hanley J, Jesuthasan N, Lafortuna C, Lang A, Prinelli F, Puidomenech Puig E, Tabozzi S, McKinstry B. A Mobile Phone Intervention to Improve Obesity-Related Health Behaviors of Adolescents Across Europe: Iterative Co-Design and Feasibility Study. JMIR mHealth and uHealth 2020;8(3):e14118 View
  17. 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
  18. Lyhne J, Smith A, Frostholm L, Fink P, Jensen L. Study protocol: a randomized controlled trial comparing the efficacy of therapist guided internet-delivered cognitive therapy (TG-iConquerFear) with augmented treatment as usual in reducing fear of cancer recurrence in Danish colorectal cancer survivors. BMC Cancer 2020;20(1) View
  19. Edney S, Ryan J, Olds T, Monroe C, Fraysse F, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(11):e14645 View
  20. Claes J, Cornelissen V, McDermott C, Moyna N, Pattyn N, Cornelis N, Gallagher A, McCormack C, Newton H, Gillain A, Budts W, Goetschalckx K, Woods C, Moran K, Buys R. PATHway-I: Feasibility, acceptability and clinical effectiveness of a technology enabled cardiac rehabilitation platform. A randomized controlled trial. (Preprint). Journal of Medical Internet Research 2019 View
  21. Lo B, Shi J, Hollenberg E, Abi-Jaoudé A, Johnson A, Wiljer D. Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review. JMIR Mental Health 2020;7(6):e15942 View
  22. 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
  23. 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
  24. O’Shea O, Woods C, McDermott L, Buys R, Cornelis N, Claes J, Cornelissen V, Gallagher A, Newton H, Moyna N, McCaffrey N, Susta D, McDermott C, McCormack C, Budts W, Moran K, Tu W. A qualitative exploration of cardiovascular disease patients’ views and experiences with an eHealth cardiac rehabilitation intervention: The PATHway Project. PLOS ONE 2020;15(7):e0235274 View
  25. Rayward A, Vandelanotte C, Corry K, Van Itallie A, Duncan M. Impact of a Social Media Campaign on Reach, Uptake, and Engagement with a Free Web- and App-Based Physical Activity Intervention: The 10,000 Steps Australia Program. International Journal of Environmental Research and Public Health 2019;16(24):5076 View
  26. Kelders S, van Zyl L, Ludden G. The Concept and Components of Engagement in Different Domains Applied to eHealth: A Systematic Scoping Review. Frontiers in Psychology 2020;11 View
  27. Zobair K, Sanzogni L, Sandhu K. Expectations of telemedicine health service adoption in rural Bangladesh. Social Science & Medicine 2019;238:112485 View
  28. Oliffe J, Black N, Yiu J, Flannigan R, McCreary D, Goldenberg S. Mapping Canadian Men’s Recent and Intended Health Behavior Changes Through the Don’t Change Much Electronic Health Program. Journal of Medical Internet Research 2020;22(5):e16174 View
  29. Young L, Soliz S, Xu J, Young S. A review of social media analytic tools and their applications to evaluate activity and engagement in online sexual health interventions. Preventive Medicine Reports 2020;19:101158 View
  30. Dumas A, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Long‐term effects of a healthy eating blog in mothers and children. Maternal & Child Nutrition 2020;16(3) View
  31. Arnold C, Villagonzalo K, Meyer D, Farhall J, Foley F, Kyrios M, Thomas N. Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors. Internet Interventions 2019;18:100266 View
  32. Lally R, Kupzyk K, Gallo S, Berry D. Use of an Unguided, Web-Based Distress Self-Management Program After Breast Cancer Diagnosis: Sub-Analysis of CaringGuidance Pilot Study. Journal of Medical Internet Research 2020;22(7):e19734 View
  33. Kelders S, Kip H, Greeff J. Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study. Journal of Medical Internet Research 2020;22(10):e17757 View
  34. Figueroa C, DeMasi O, Hernandez-Ramos R, Aguilera A. Who Benefits Most from Adding Technology to Depression Treatment and How? An Analysis of Engagement with a Texting Adjunct for Psychotherapy. Telemedicine and e-Health 2021;27(1):39 View
  35. Zhang R, Nicholas J, Knapp A, Graham A, Gray E, Kwasny M, Reddy M, Mohr D. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644 View
  36. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  37. Dekkers T, Melles M, Vehmeijer S, de Ridder H. Effects of Information Architecture on the Effectiveness and User Experience of Web-Based Patient Education in Middle-Aged and Older Adults: Online Randomized Experiment. Journal of Medical Internet Research 2021;23(3):e15846 View
  38. Greenwell K, Sereda M, Coulson N, Geraghty A, Bradbury K, Hoare D. ‘That’s just how I am’: a qualitative interview study to identify factors influencing engagement with a digital intervention for tinnitus self‐management. British Journal of Health Psychology 2021;26(3):727 View
  39. Kondylakis H, Axenie C, (Kiran) Bastola D, Katehakis D, Kouroubali A, Kurz D, Larburu N, Macía I, Maguire R, Maramis C, Marias K, Morrow P, Muro N, Núñez-Benjumea F, Rampun A, Rivera-Romero O, Scotney B, Signorelli G, Wang H, Tsiknakis M, Zwiggelaar R. Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study. Journal of Medical Internet Research 2020;22(12):e22034 View
  40. Teckie S, Solomon J, Kadapa K, Sanchez K, Orner D, Kraus D, Kamdar D, Pereira L, Frank D, Diefenbach M. A Mobile Patient-Facing App for Tracking Patient-Reported Outcomes in Head and Neck Cancer Survivors: Single-Arm Feasibility Study. JMIR Formative Research 2021;5(3):e24667 View
  41. Nicholas J, Ntoumanis N, Smith B, Quested E, Stamatakis E, Thøgersen-Ntoumani C. Development and feasibility of a mobile phone application designed to support physically inactive employees to increase walking. BMC Medical Informatics and Decision Making 2021;21(1) View
  42. Wickström H, Tuvesson H, Öien R, Midlöv P, Fagerström C. Health Care Staff’s Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study. JMIR Human Factors 2020;7(4):e23188 View
  43. Baik S, Oswald L, Buscemi J, Buitrago D, Iacobelli F, Perez-Tamayo A, Guitelman J, Penedo F, Yanez B. Patterns of Use of Smartphone-Based Interventions Among Latina Breast Cancer Survivors: Secondary Analysis of a Pilot Randomized Controlled Trial. JMIR Cancer 2020;6(2):e17538 View
  44. Solar C, Halat A, MacLean R, Rajeevan H, Williams D, Krein S, Heapy A, Bair M, Kerns R, Higgins D. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2021;11(6):1274 View
  45. Finlay A, Evans H, Vincent A, Wittert G, Vandelanotte C, Short C. Optimising Web-Based Computer-Tailored Physical Activity Interventions for Prostate Cancer Survivors: A Randomised Controlled Trial Examining the Impact of Website Architecture on User Engagement. International Journal of Environmental Research and Public Health 2020;17(21):7920 View
  46. Middleton M, Somerset S, Evans C, Blake H. Test@Work Texts: Mobile Phone Messaging to Increase Awareness of HIV and HIV Testing in UK Construction Employees during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2020;17(21):7819 View
  47. Bruce C, Harrison P, Giammattei C, Desai S, Sol J, Jones S, Schwartz R. Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes. JMIR mHealth and uHealth 2020;8(11):e17577 View
  48. King‐Dowling S, Psihogios A, Hill‐Kayser C, Szalda D, O'Hagan B, Darabos K, Daniel L, Barakat L, Fleisher L, Maurer L, Velázquez‐Martin B, Jacobs L, Hobbie W, Ginsberg J, Vachani C, Metz J, Schwartz L. Acceptability and feasibility of survivorship care plans and an accompanying mobile health intervention for adolescent and young adult survivors of childhood cancer. Pediatric Blood & Cancer 2021;68(3) View
  49. Snaith M, Nielsen R, Kotnis S, Pease A, Atkinson K, Visser J. Ethical challenges in argumentation and dialogue in a healthcare context. Argument & Computation 2021;12(2):249 View
  50. Perego P, Rashid R, Gluud C, Jakobsen J, Andreoni G, Lissau I. Comparison of different mobile health applications for intervention in children and adolescent with overweight: a protocol for systematic review with meta-analysis and trial sequential analysis. BMJ Open 2020;10(12):e032570 View
  51. Nittas V, Mütsch M, Braun J, Puhan M. Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis. Journal of Medical Internet Research 2020;22(11):e18889 View
  52. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  53. Rayward A, Vandelanotte C, Van Itallie A, Duncan M. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. Journal of Medical Internet Research 2021;23(6):e22151 View
  54. Figueroa C, Aguilera A, Chakraborty B, Modiri A, Aggarwal J, Deliu N, Sarkar U, Jay Williams J, Lyles C. Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. Journal of the American Medical Informatics Association 2021;28(6):1225 View
  55. Psihogios A, King-Dowling S, O’Hagan B, Darabos K, Maurer L, Young J, Fleisher L, Barakat L, Szalda D, Hill-Kayser C, Schwartz L. Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors. Annals of Behavioral Medicine 2021;55(12):1220 View
  56. Shi J, Lo B, Wong H, Hollenberg E, Sanches M, Abi-Jaoudé A, Chaim G, Cleverley K, Henderson J, Johnson A, Levinson A, Pham Q, Robb J, Voineskos A, Wiljer D. Assessing the usability and user engagement of Thought Spot - A digital mental health help-seeking solution for transition-aged youth. Internet Interventions 2021;24:100386 View
  57. Ashton L, Rollo M, Adam M, Burrows T, Shrewsbury V, Collins C. Process Evaluation of the ‘No Money No Time’ Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study. International Journal of Environmental Research and Public Health 2021;18(7):3589 View
  58. Pelle T, van der Palen J, de Graaf F, van den Hoogen F, Bevers K, van den Ende C. Use and usability of the dr. Bart app and its relation with health care utilisation and clinical outcomes in people with knee and/or hip osteoarthritis. BMC Health Services Research 2021;21(1) View
  59. Graham A, Kwasny M, Lattie E, Greene C, Gupta N, Reddy M, Mohr D. Targeting subjective engagement in experimental therapeutics for digital mental health interventions. Internet Interventions 2021;25:100403 View
  60. Reis D, Hart A, Lehr D, Friese M. Promoting recovery in daily life: study protocol for a randomized controlled trial. BMC Psychology 2021;9(1) View
  61. Arnold C, Farhall J, Villagonzalo K, Sharma K, Thomas N. Engagement with online psychosocial interventions for psychosis: A review and synthesis of relevant factors. Internet Interventions 2021;25:100411 View
  62. Zick S, Kruger G, Harte S, Sen A, Harris R, Pearce C. Acupressure for Cancer-fatigue in Ovarian Cancer Survivor (AcuOva) Study: A community-based clinical trial study protocol examining the impact of self-acupressure on persistent cancer-related fatigue in ovarian cancer survivors. Contemporary Clinical Trials 2021;107:106477 View
  63. Scarpa M, Prilletensky I, McMahon A, Myers N, Prilleltensky O, Lee S, Pfeiffer K, Bateman A, Brincks A. Is Fun For Wellness Engaging? Evaluation of User Experience of an Online Intervention to Promote Well-Being and Physical Activity. Frontiers in Computer Science 2021;3 View
  64. Hutchesson M, Gough C, Müller A, Short C, Whatnall M, Ahmed M, Pearson N, Yin Z, Ashton L, Maher C, Staiano A, Mauch C, DeSmet A, Vandelanotte C. eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews. Obesity Reviews 2021;22(10) View
  65. Hämäläinen T, Kaipainen K, Lappalainen P, Puolakanaho A, Keinonen K, Lappalainen R, Kiuru N. Usage activity, perceived usefulness, and satisfaction in a web-based acceptance and commitment therapy program among Finnish ninth-grade adolescents. Internet Interventions 2021;25:100421 View
  66. Escobar-Viera C, Melcher E, Miller R, Whitfield D, Jacobson-López D, Gordon J, Ballard A, Rollman B, Pagoto S. A systematic review of the engagement with social media–delivered interventions for improving health outcomes among sexual and gender minorities. Internet Interventions 2021;25:100428 View
  67. Schwarz A, Cardon G, Chastin S, Stragier J, De Marez L, DeSmet A. Does Dynamic Tailoring of A Narrative-Driven Exergame Result in Higher User Engagement among Adolescents? Results from A Cluster-Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2021;18(14):7444 View
  68. Miller S, Yardley L, Smith P, Weal M, Anderson A, Stuart B, Little P, Morrison L. A Digital Intervention for Respiratory Tract Infections (Internet Dr): Process Evaluation to Understand How to Support Self-care for Minor Ailments. JMIR Formative Research 2022;6(1):e24239 View
  69. Browne J, Halverson T, Vilardaga R. Engagement with a digital therapeutic for smoking cessation designed for persons with psychiatric illness fully mediates smoking outcomes in a pilot randomized controlled trial. Translational Behavioral Medicine 2021;11(9):1717 View
  70. 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
  71. Murphy L, Dascombe B, Murawski B, Rayward A, Brown W, Plotnikoff R, Vandelanotte C, Holliday E, Duncan M. Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials. Journal of Activity, Sedentary and Sleep Behaviors 2023;2(1) View
  72. Laws R, Cheng H, Rossiter C, Kuswara K, Markides B, Size D, Corcoran P, Ong K, Denney‐Wilson E. Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app. Maternal & Child Nutrition 2023;19(2) View
  73. Kwan Y, Ong Z, Choo D, Phang J, Yoon S, Low L. A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings. Patient Preference and Adherence 2023;Volume 17:1 View
  74. Kilb M, Dickhäuser O, Mata J. A theory-based video intervention to enhance communication and engagement in online health communities: two experiments. Health Psychology and Behavioral Medicine 2022;10(1):199 View
  75. Derksen M, Jaspers M, Kunst A, Fransen M. Usage of digital, social and goal-setting functionalities to support health behavior change: A mixed methods study among disadvantaged women during or after pregnancy and their healthcare professionals. International Journal of Medical Informatics 2023;170:104981 View
  76. Manning J, Blandford A, Edbrooke-Childs J. Digital Companion Choice to Support Teachers’ Stress Self-management: Systematic Approach Through Taxonomy Creation. JMIR Formative Research 2022;6(2):e32312 View
  77. Oliveira J, Sanders-Pinheiro H, Freitas Filho R, Vasconcelos Filho J, Askari M, Silva Júnior G. Avaliação do uso do aplicativo Renal Health por transplantados renais. Revista Latino-Americana de Enfermagem 2023;31 View
  78. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  79. Bostrøm K, Varsi C, Eide H, Børøsund E, Kristjansdottir Ó, Schreurs K, Waxenberg L, Weiss K, Morrison E, Nordang E, Stubhaug A, Nes L. Engaging with EPIO, a digital pain self-management program: a qualitative study. BMC Health Services Research 2022;22(1) View
  80. Milne-Ives M, Homer S, Andrade J, Meinert E. Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(3):e35172 View
  81. García-Estela A, Cantillo J, Angarita-Osorio N, Mur-Milà E, Anmella G, Pérez V, Vieta E, Hidalgo-Mazzei D, Colom F. Real-world Implementation of a Smartphone-Based Psychoeducation Program for Bipolar Disorder: Observational Ecological Study. Journal of Medical Internet Research 2022;24(2):e31565 View
  82. Gültzow T, Smit E, Crutzen R, Jolani S, Hoving C, Dirksen C. Effects of an Explicit Value Clarification Method With Computer-Tailored Advice on the Effectiveness of a Web-Based Smoking Cessation Decision Aid: Findings From a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(7):e34246 View
  83. Donald M, Beanlands H, Straus S, Smekal M, Gil S, Elliott M, Harwood L, Waldvogel B, Delgado M, Sparkes D, Tong A, Grill A, Novak M, James M, Brimble K, Tu K, Hemmelgarn B. An eHealth self-management intervention for adults with chronic kidney disease, My Kidneys My Health: a mixed-methods study. CMAJ Open 2022;10(3):E746 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. Serio C, Gabarda A, Uyar-Morency F, Silfee V, Ludwig J, Szigethy E, Butterworth S. Strengthening the Impact of Digital Cognitive Behavioral Interventions Through a Dual Intervention: Proficient Motivational Interviewing–Based Health Coaching Plus In-Application Techniques. JMIR Formative Research 2022;6(5):e34552 View
  86. Buller D, Walkosz B, Henry K, Woodall W, Pagoto S, Berteletti J, Kinsey A, Divito J, Baker K, Hillhouse J. Promoting Social Distancing and COVID-19 Vaccine Intentions to Mothers: Randomized Comparison of Information Sources in Social Media Messages. JMIR Infodemiology 2022;2(2):e36210 View
  87. Kunchay S, Linden-Carmichael A, Lanza S, Abdullah S. Understanding Design Approaches and Evaluation Methods in mHealth Apps Targeting Substance Use: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(7):e35749 View
  88. Rookes T, Schrag A, Walters K, Armstrong M. Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures. Clinical Trials 2022;19(6):665 View
  89. Su J. Exploring the Relationship Between Usage and Outcomes of an eHealth Cardiac Rehabilitation Intervention. CIN: Computers, Informatics, Nursing 2023;41(8):578 View
  90. Elling J, De Vries H. Influence of Animation- Versus Text-Based Delivery of a Web-Based Computer-Tailored Smoking Cessation Intervention on User Perceptions. European Journal of Health Communication 2021;2(3):1 View
  91. Oliveira J, Sanders-Pinheiro H, Freitas Filho R, Vasconcelos Filho J, Askari M, Silva Júnior G. Evaluación del uso de la Aplicación Renal Health por parte de los receptores de trasplante renal. Revista Latino-Americana de Enfermagem 2023;31 View
  92. Dulin P, Mertz R, Edwards A, King D. Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(5):e33037 View
  93. Wrobel J, Silvasstar J, Peterson R, Sumbundu K, Kelley A, Stephens D, Craig Rushing S, Bull S. Text Messaging Intervention for Mental Wellness in American Indian and Alaska Native Teens and Young Adults (BRAVE Study): Analysis of User Engagement Patterns. JMIR Formative Research 2022;6(2):e32138 View
  94. Fraterman I, Glaser S, Wilgenhof S, Medlock S, Mallo H, Cornet R, van de Poll-Franse L, Boekhout A. Exploring supportive care and information needs through a proposed eHealth application among melanoma patients undergoing systemic therapy: a qualitative study. Supportive Care in Cancer 2022;30(9):7249 View
  95. Schwarz A, Winkens L, de Vet E, Ossendrijver D, Bouwsema K, Simons M. Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies. JMIR mHealth and uHealth 2023;11:e40898 View
  96. Nelson L, Spieker A, Mayberry L, McNaughton C, Greevy R. Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials. Journal of the American Medical Informatics Association 2021;29(1):128 View
  97. Meinert E, Milne-Ives M, Chaudhuri K, Harding T, Whipps J, Whipps S, Carroll C. The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study. JMIR Research Protocols 2022;11(9):e40317 View
  98. Anderson C, Suna J, Keating S, Cordina R, Tran D, Ayer J, Coombes J. Safety and efficacy of exercise training in children and adolescents with congenital heart disease: A systematic review and descriptive analysis. American Heart Journal 2022;253:1 View
  99. Maher C, Olds T, Vandelanotte C, Plotnikoff R, Edney S, Ryan J, DeSmet A, Curtis R. Gamification in a Physical Activity App: What Gamification Features Are Being Used, by Whom, and Does It Make a Difference?. Games for Health Journal 2022;11(3):193 View
  100. Gunn K, Skaczkowski G, Dollman J, Vincent A, Short C, Brumby S, Barrett A, Harrison N, Turnbull D. Combining Farmers’ Preferences With Evidence-Based Strategies to Prevent and Lower Farmers’ Distress: Co-design and Acceptability Testing of ifarmwell. JMIR Human Factors 2022;9(1):e27631 View
  101. Simões de Almeida R, Marques A. User engagement in mobile apps for people with schizophrenia: A scoping review. Frontiers in Digital Health 2023;4 View
  102. Oguntoye A, Eades N, Ezenwa M, Krieger J, Jenerette C, Adegbola M, Jacob E, Johnson-Mallard V, Yao Y, Gallo A, Wilkie D. Factors associated with young adult engagement with a web-based sickle cell reproductive health intervention. PEC Innovation 2022;1:100063 View
  103. Boyt N, Ho A, Morris-Bankole H, Sin J. Internet-facilitated interventions for informal caregivers of patients with neurodegenerative disorders: Systematic review and meta-analysis. DIGITAL HEALTH 2022;8:205520762211290 View
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  212. Fareed N, Olvera R, Wang Y, Hayes M, Larimore E, Balvanz P, Langley R, Noel C, Rock P, Redmond D, Neufeld J, Kosakowski S, Harris D, LaRochelle M, Huerta T, Glasgow L, Oga E, Villani J, Wu E. Lessons Learned From Developing Dashboards to Support Decision-Making for Community Opioid Response by Community Stakeholders: Mixed Methods and Multisite Study. JMIR Human Factors 2024;11:e51525 View
  213. Okamoto M, Saito Y, Nakamura S, Nagasawa M, Shibuya M, Nagasaka G, Narimatsu H. Smartphone-Based Digital Peer Support for a Walking Intervention Among Public Officers in Kanagawa Prefecture: Single-Arm Pre- and Postintervention Evaluation. JMIR Formative Research 2024;8:e53759 View
  214. Han H, Mendu S, Jaworski B, Owen J, Abdullah S. Assessing acceptance and feasibility of a conversational agent to support individuals living with post-traumatic stress disorder. DIGITAL HEALTH 2024;10 View
  215. Kelders S, Kip H, Beerlage-de Jong N, Köhle N. What does it mean to be engaged with digital health interventions? A qualitative study into the experiences of engaged users and the views of professionals. DIGITAL HEALTH 2024;10 View
  216. Herrijgers C, Verboon P, Florence E, Vandebosch H, Poels K, Platteau T. Assessing the Effectiveness of an mHealth Intervention to Support Men Who Have Sex With Men Engaging in Chemsex (Budd): Single-Case and Pre-Post Experimental Design Study. JMIR Formative Research 2024;8:e56606 View

Books/Policy Documents

  1. Kelders S. Positive Psychological Intervention Design and Protocols for Multi-Cultural Contexts. View
  2. Ensari I, Elhadad N. Digital Health. View
  3. Shirish A. Management and Marketing for Improved Competitiveness and Performance in the Healthcare Sector. View
  4. Kernebeck S, Busse T, Vollmar H. E-Health-Ökonomie II. View