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Formative Studies and eHealth/mHealth Development (515) Tutorial (60) New Methods (901) Statistical Methods (23) Qualitative Methods (58)
Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data

Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data

Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data

Authors of this article:

Floor Sieverink1 Author Orcid Image ;   Saskia Kelders1, 2 Author Orcid Image ;   Mannes Poel3 Author Orcid Image ;   Lisette van Gemert-Pijnen1 Author Orcid Image
Article Authors Cited by (50) Tweetations (15) Metrics

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  1. Kramer L, ter Stal S, Mulder B, de Vet E, van Velsen L. Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review. Journal of Medical Internet Research 2020;22(2):e14058 View
  2. Øksnebjerg L, Janbek J, Woods B, Waldemar G. Assistive technology designed to support self-management of people with dementia: user involvement, dissemination, and adoption. A scoping review. International Psychogeriatrics 2020;32(8):937 View
  3. Pham Q, Graham G, Lalloo C, Morita P, Seto E, Stinson J, Cafazzo J. An Analytics Platform to Evaluate Effective Engagement With Pediatric Mobile Health Apps: Design, Development, and Formative Evaluation. JMIR mHealth and uHealth 2018;6(12):e11447 View
  4. Huerta T, Fareed N, Hefner J, Sieck C, Swoboda C, Taylor R, McAlearney A. Patient Engagement as Measured by Inpatient Portal Use: Methodology for Log File Analysis. Journal of Medical Internet Research 2019;21(3):e10957 View
  5. ten Klooster I, Noordzij M, Kelders S. Exploring How Professionals Within Agile Health Care Informatics Perceive Visualizations of Log File Analyses: Observational Study Followed by a Focus Group Interview. JMIR Human Factors 2020;7(1):e14424 View
  6. Krijnen-de Bruin E, Muntingh A, Hoogendoorn A, van Straten A, Batelaan N, Maarsingh O, van Balkom A, van Meijel B. The GET READY relapse prevention programme for anxiety and depression: a mixed-methods study protocol. BMC Psychiatry 2019;19(1) View
  7. 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
  8. Di Tosto G, McAlearney A, Fareed N, Huerta T. Metrics for Outpatient Portal Use Based on Log File Analysis: Algorithm Development. Journal of Medical Internet Research 2020;22(6):e16849 View
  9. Miller S, Ainsworth B, Yardley L, Milton A, Weal M, Smith P, Morrison L. A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint. Journal of Medical Internet Research 2019;21(2):e10966 View
  10. Hummel S, van Lankveld J, Oldenburg H, Hahn D, Broomans E, Aaronson N. Internet-based Cognitive Behavioral Therapy for DSM-IV Sexual Dysfunctions in Breast Cancer Survivors: Predictors of Treatment Response. International Journal of Sexual Health 2018;30(3):281 View
  11. Jung K, Kim S, Kim K, Lee E, Kim K, Lee J, Choi J, Kang M, Chang D, Cha W. Frequent Mobile Electronic Medical Records Users Respond More Quickly to Emergency Department Consultation Requests: Retrospective Quantitative Study. JMIR mHealth and uHealth 2020;8(2):e14487 View
  12. Sieverink F, Kelders S, van Gemert-Pijnen J. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402 View
  13. Sanatkar S, Baldwin P, Huckvale K, Clarke J, Christensen H, Harvey S, Proudfoot J. Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health. Journal of Medical Internet Research 2019;21(11):e14728 View
  14. Bonten T, Rauwerdink A, Wyatt J, Kasteleyn M, Witkamp L, Riper H, van Gemert-Pijnen L, Cresswell K, Sheikh A, Schijven M, Chavannes N. Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study. Journal of Medical Internet Research 2020;22(8):e17774 View
  15. 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
  16. Kip H, Oberschmidt K, Bierbooms J. eHealth Technology in Forensic Mental Healthcare: Recommendations for Achieving Benefits and Overcoming Barriers. International Journal of Forensic Mental Health 2021;20(1):31 View
  17. Sieverink F, Kelders S, Braakman-Jansen A, van Gemert-Pijnen J. Evaluating the implementation of a personal health record for chronic primary and secondary care: a mixed methods approach. BMC Medical Informatics and Decision Making 2019;19(1) View
  18. 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
  19. du Pon E, Kleefstra N, Cleveringa F, van Dooren A, Heerdink E, van Dulmen S. Effects of the Proactive Interdisciplinary Self-Management (PRISMA) Program on Online Care Platform Usage in Patients with Type 2 Diabetes in Primary Care: A Randomized Controlled Trial. Journal of Diabetes Research 2020;2020:1 View
  20. 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
  21. 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
  22. Enrique A, Palacios J, Ryan H, Richards D. Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(8):e12775 View
  23. 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
  24. Kip H, Sieverink F, van Gemert-Pijnen L, Bouman Y, Kelders S. Integrating People, Context, and Technology in the Implementation of a Web-Based Intervention in Forensic Mental Health Care: Mixed-Methods Study. Journal of Medical Internet Research 2020;22(5):e16906 View
  25. Manta C, Jain S, Coravos A, Mendelsohn D, Izmailova E. An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID‐19. Clinical and Translational Science 2020;13(6):1034 View
  26. Infarinato F, Jansen-Kosterink S, Romano P, van Velsen L, op den Akker H, Rizza F, Ottaviani M, Kyriazakos S, Wais-Zechmann B, Garschall M, Bonassi S, Hermens H. Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment. International Journal of Environmental Research and Public Health 2020;17(21):7893 View
  27. 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
  28. Sanatkar S, Baldwin P, Huckvale K, Christensen H, Harvey S. e-Mental Health Program Usage Patterns in Randomized Controlled Trials and in the General Public to Inform External Validity Considerations: Sample Groupings Using Cluster Analyses. Journal of Medical Internet Research 2021;23(3):e18348 View
  29. Andriopoulos A, Olsson E, Hägg Sylvén Y, Sjöström J, Johansson B, von Essen L, Grönqvist H. Commencement of and Retention in Web-Based Interventions and Response to Prompts and Reminders: Longitudinal Observational Study Based on Two Randomized Controlled Trials. Journal of Medical Internet Research 2021;23(3):e24590 View
  30. van Velsen L, Flierman I, Tabak M. The formation of patient trust and its transference to online health services: the case of a Dutch online patient portal for rehabilitation care. BMC Medical Informatics and Decision Making 2021;21(1) View
  31. van der Hout A, van Uden-Kraan C, Holtmaat K, Jansen F, Lissenberg-Witte B, Nieuwenhuijzen G, Hardillo J, Baatenburg de Jong R, Tiren-Verbeet N, Sommeijer D, de Heer K, Schaar C, Sedee R, Bosscha K, van den Brekel M, Petersen J, Westerman M, Honings J, Takes R, Houtenbos I, van den Broek W, de Bree R, Jansen P, Eerenstein S, Leemans C, Zijlstra J, Cuijpers P, van de Poll-Franse L, Verdonck-de Leeuw I. Reasons for not reaching or using web-based self-management applications, and the use and evaluation of Oncokompas among cancer survivors, in the context of a randomised controlled trial. Internet Interventions 2021;25:100429 View
  32. van Leersum C, Moser A, van Steenkiste B, Wolf J, van der Weijden T. Clients and professionals elicit long‐term care preferences by using ‘What matters to me’: A process evaluation in the Netherlands. Health & Social Care in the Community 2022;30(4) View
  33. 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
  34. 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
  35. Ramos L, Blankers M, van Wingen G, de Bruijn T, Pauws S, Goudriaan A. Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning. Frontiers in Psychology 2021;12 View
  36. Marinova N, Rogers T, MacBeth A. Predictors of adolescent engagement and outcomes – A cross-sectional study using the togetherall (formerly Big White Wall) digital mental health platform. Journal of Affective Disorders 2022;311:284 View
  37. 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
  38. 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
  39. 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
  40. Singh P, Jonnalagadda P, Morgan E, Fareed N. Outpatient portal use in prenatal care: differential use by race, risk, and area social determinants of health. Journal of the American Medical Informatics Association 2022;29(2):364 View
  41. 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
  42. Bente B, Wentzel J, Schepers C, Breeman L, Janssen V, Pieterse M, Evers A, van Gemert-Pijnen L. Implementation and User Evaluation of an eHealth Technology Platform Supporting Patients With Cardiovascular Disease in Managing Their Health After a Cardiac Event: Mixed Methods Study. JMIR Cardio 2023;7:e43781 View
  43. Austin J, Schroevers M, Van Dijk J, Sanderman R, Børøsund E, Wymenga A, Bohlmeijer E, Drossaert C. Compas-Y: A mixed methods pilot evaluation of a mobile self-compassion training for people with newly diagnosed cancer. DIGITAL HEALTH 2023;9 View
  44. Siezenga A, Mertens E, van Gelder J. A look under the hood: analyzing engagement and usage data of a smartphone-based intervention. BMC Digital Health 2023;1(1) View
  45. Farrand P, Raue P, Ward E, Repper D, Areán P. Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data. JMIR mHealth and uHealth 2024;12:e47321 View
  46. Andree R, Mujcic A, den Hollander W, van Laar M, Boon B, Engels R, Blankers M. Digital Smoking Cessation Intervention for Cancer Survivors: Analysis of Predictors and Moderators of Engagement and Outcome Alongside a Randomized Controlled Trial. JMIR Cancer 2024;10:e46303 View
  47. Baker J, Kendal S, Bojke C, Louch G, Halligan D, Shafiq S, Sturley C, Walker L, Brown M, Berzins K, Brierley-Jones L, O’Hara J, Blackwell K, Wormald G, Canvin K, Vincent C. A service-user digital intervention to collect real-time safety information on acute, adult mental health wards: the WardSonar mixed-methods study. Health and Social Care Delivery Research 2024:1 View