Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10966, first published .
A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint

A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint

A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint

Journals

  1. Stragier J, Vandewiele G, Coppens P, Ongenae F, Van den Broeck W, De Turck F, De Marez L. Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis. Journal of Medical Internet Research 2019;21(6):e11934 View
  2. Xie L, Itzkovitz A, Roy-Fleming A, Da Costa D, Brazeau A. Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence. Journal of Medical Internet Research 2020;22(8):e18355 View
  3. Harjumaa M, Absetz P, Ermes M, Mattila E, Männikkö R, Tilles-Tirkkonen T, Lintu N, Schwab U, Umer A, Leppänen J, Pihlajamäki J. Internet-Based Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Design and 6-Month Usage Results of Randomized Controlled Trial. JMIR Diabetes 2020;5(3):e15219 View
  4. 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
  5. Pham Q, Shaw J, Morita P, Seto E, Stinson J, Cafazzo J. The Service of Research Analytics to Optimize Digital Health Evidence Generation: Multilevel Case Study. Journal of Medical Internet Research 2019;21(11):e14849 View
  6. 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
  7. 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
  8. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884 View
  9. 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
  10. 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
  11. 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
  12. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  13. Morton K, Ainsworth B, Miller S, Rice C, Bostock J, Denison-Day J, Towler L, Groot J, Moore M, Willcox M, Chadborn T, Amlot R, Gold N, Little P, Yardley L. Adapting Behavioral Interventions for a Changing Public Health Context: A Worked Example of Implementing a Digital Intervention During a Global Pandemic Using Rapid Optimisation Methods. Frontiers in Public Health 2021;9 View
  14. Dunphy E, Button K, Hamilton F, Williams J, Spasic I, Murray E. Feasibility randomised controlled trial comparing TRAK-ACL digital rehabilitation intervention plus treatment as usual versus treatment as usual for patients following anterior cruciate ligament reconstruction. BMJ Open Sport & Exercise Medicine 2021;7(2):e001002 View
  15. Miller S, Ainsworth B, Weal M, Smith P, Little P, Yardley L, Morrison L. A Web-Based Intervention (Germ Defence) to Increase Handwashing During a Pandemic: Process Evaluations of a Randomized Controlled Trial and Public Dissemination. Journal of Medical Internet Research 2021;23(10):e26104 View
  16. Mclaughlin M, Duff J, McKenzie T, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Evaluating Digital Program Support for the Physical Activity 4 Everyone (PA4E1) School Program: Mixed Methods Study. JMIR Pediatrics and Parenting 2021;4(3):e26690 View
  17. 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
  18. 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
  19. Baumel A. Therapeutic Activities as a Link between Program Usage and Clinical Outcomes in Digital Mental Health Interventions: a Proposed Research Framework. Journal of Technology in Behavioral Science 2022;7(2):234 View
  20. 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
  21. Kelly P, Beck A, Deane F, Larance B, Baker A, Hides L, Manning V, Shakeshaft A, Neale J, Kelly J, Oldmeadow C, Searles A, Palazzi K, Lawson K, Treloar C, Gray R, Argent A, McGlaughlin R. Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in SMART Recovery Mutual Support Groups: Stage 1 Mixed Methods Pilot Study. Journal of Medical Internet Research 2021;23(10):e25217 View
  22. Van Schalkwyk A, Grobbelaar S, Vermeulen E, Herselman M. A Scoping Review of the Use of Log Data for Evaluating Mobile Apps: Exploring Implications for mHealth Apps. IEEE Access 2022;10:124805 View
  23. Bucci S, Varese F, Quayle E, Cartwright K, Machin M, Whelan P, Chitsabesan P, Richards C, Green V, Norrie J, Schwannauer M. A Digital Intervention to Improve Mental Health and Interpersonal Resilience in Young People Who Have Experienced Technology-Assisted Sexual Abuse: Protocol for a Nonrandomized Feasibility Clinical Trial and Nested Qualitative Study. JMIR Research Protocols 2023;12:e40539 View
  24. Kernebeck S, Busse T, Ehlers J, Vollmar H. Adhärenz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(10):1278 View
  25. Eisner E, Berry N, Morris R, Emsley R, Haddock G, Machin M, Hassan L, Bucci S. Exploring engagement with the CBT-informed Actissist smartphone application for early psychosis. Journal of Mental Health 2023;32(3):643 View
  26. Lisowska A, Wilk S, Peleg M. SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. Journal of Biomedical Informatics 2023;138:104276 View
  27. Santer M, Muller I, Becque T, Stuart B, Hooper J, Steele M, Wilczynska S, Sach T, Ridd M, Roberts A, Ahmed A, Yardley L, Little P, Greenwell K, Sivyer K, Nuttall J, Griffiths G, Lawton S, Langan S, Howells L, Leighton P, Williams H, Thomas K. Eczema Care Online behavioural interventions to support self-care for children and young people: two independent, pragmatic, randomised controlled trials. BMJ 2022:e072007 View
  28. Western M, Armstrong M, Islam I, Morgan K, Jones U, Kelson M. The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  29. Denison-Day J, Muir S, Newell C, Appleton K, König L. The Role of Aesthetics in Intentions to Use Digital Health Interventions. PLOS Digital Health 2023;2(6):e0000274 View
  30. Hawkes R, Miles L, Ainsworth B, Ross J, Meacock R, French D. Engagement with a nationally-implemented digital behaviour change intervention: Usage patterns over the 9-month duration of the National Health Service Digital Diabetes Prevention Programme. Internet Interventions 2023;33:100647 View
  31. Zhang X, Lewis S, Carter L, Bucci S. A Digital System (YouXin) to Facilitate Self-Management by People With Psychosis in China: Protocol for a Nonrandomized Validity and Feasibility Study With a Mixed Methods Design. JMIR Research Protocols 2023;12:e45170 View
  32. Lo B, Shin H, Kemp J, Munnery M, Chen S, Ma C, Jankowicz D, Mehta R, Harris A, Sakal M, Pundit R, Chung K, Kuziemsky C, Rossetti S, Strudwick G. Shifting Mindsets: The Impact of a Patient Portal on Functioning and Recovery in a Mental Health Setting. The Canadian Journal of Psychiatry 2024;69(3):217 View
  33. Hassan L, Eisner E, Berry K, Emsley R, Ainsworth J, Lewis S, Haddock G, Edge D, Bucci S. User engagement in a randomised controlled trial for a digital health intervention for early psychosis (Actissist 2.0 trial). Psychiatry Research 2023;329:115536 View
  34. Hämäläinen T, Kaipainen K, Keinonen K, Lappalainen P, Puolakanaho A, Lappalainen R, Kiuru N. The Roles of Adherence and Usage Activity in Adolescents’ Intervention Gains During Brief Guided Online Acceptance and Commitment Therapy. Journal of Cognitive Psychotherapy 2023;37(3):187 View
  35. Zhang X, Lewis S, Carter L, Chen X, Zhou J, Wang X, Bucci S. Evaluating a smartphone-based symptom self-monitoring app for psychosis in China (YouXin): A non-randomised validity and feasibility study with a mixed-methods design. DIGITAL HEALTH 2024;10 View
  36. Bijkerk L, Spigt M, Oenema A, Geschwind N. Engagement with mental health and health behavior change interventions: An integrative review of key concepts. Journal of Contextual Behavioral Science 2024;32:100748 View
  37. Duckworth C, Cliffe B, Pickering B, Ainsworth B, Blythin A, Kirk A, Wilkinson T, Boniface M. Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance. npj Digital Medicine 2024;7(1) View
  38. Bishop F, Cross N, Dewar-Haggart R, Teasdale E, Herbert A, Robinson M, Ridd M, Mallen C, Clarson L, Bostock J, Becque T, Stuart B, Garfield K, Morrison L, Pollet S, Vennik J, Atherton H, Howick J, Leydon G, Nuttall J, Islam N, Lee P, Little P, Everitt H. Talking in primary care (TIP): protocol for a cluster-randomised controlled trial in UK primary care to assess clinical and cost-effectiveness of communication skills e-learning for practitioners on patients’ musculoskeletal pain and enablement. BMJ Open 2024;14(3):e081932 View
  39. Greenwell K, Becque T, Sivyer K, Steele M, Denison-Day J, Howells L, Ridd M, Roberts A, Lawton S, Langan S, Hooper J, Wilczynska S, Griffiths G, Sach T, Little P, Williams H, Thomas K, Yardley L, Muller I, Santer M, Stuart B. Online behavioural interventions for children and young people with eczema: a quantitative evaluation. British Journal of General Practice 2024:BJGP.2023.0411 View
  40. Grant S, Liu S, Rhodes R. A web-based physical activity intervention targeting affect regulation: a randomized feasibility trial. Psychology & Health 2024:1 View

Books/Policy Documents

  1. Ensari I, Elhadad N. Digital Health. View
  2. Issom D. Sickle Cell Disease. View