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

ISRII Theme Issue 2013 (14) e-Mental Health and Cyberpsychology (1402) Formative Studies and eHealth/mHealth Development (515) Usage Data and Process Outcomes in eHealth Trials (56) Depression and Mood Disorders; Suicide Prevention (1282)
Understanding the Usage of Content in a Mental Health Intervention for Depression: An Analysis of Log Data

Understanding the Usage of Content in a Mental Health Intervention for Depression: An Analysis of Log Data

Understanding the Usage of Content in a Mental Health Intervention for Depression: An Analysis of Log Data

Authors of this article:

Julia EWC Van Gemert-Pijnen1 ;   Saskia M. Kelders1 ;   Ernst T. Bohlmeijer1
Article Authors Cited by (62) Tweetations (12) Metrics

Journals

  1. 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
  2. Moberg C, Niles A, Beermann D. Guided Self-Help Works: Randomized Waitlist Controlled Trial of Pacifica, a Mobile App Integrating Cognitive Behavioral Therapy and Mindfulness for Stress, Anxiety, and Depression. Journal of Medical Internet Research 2019;21(6):e12556 View
  3. D'Alfonso S, Santesteban-Echarri O, Rice S, Wadley G, Lederman R, Miles C, Gleeson J, Alvarez-Jimenez M. Artificial Intelligence-Assisted Online Social Therapy for Youth Mental Health. Frontiers in Psychology 2017;8 View
  4. Chien I, Enrique A, Palacios J, Regan T, Keegan D, Carter D, Tschiatschek S, Nori A, Thieme A, Richards D, Doherty G, Belgrave D. A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions. JAMA Network Open 2020;3(7):e2010791 View
  5. D'Alfonso S, Phillips J, Valentine L, Gleeson J, Alvarez-Jimenez M. Moderated Online Social Therapy: Viewpoint on the Ethics and Design Principles of a Web-Based Therapy System. JMIR Mental Health 2019;6(12):e14866 View
  6. Breitenstein S, Brager J, Ocampo E, Fogg L. Engagement and Adherence With ezPARENT, an mHealth Parent-Training Program Promoting Child Well-Being. Child Maltreatment 2017;22(4):295 View
  7. Rice S, Gleeson J, Davey C, Hetrick S, Parker A, Lederman R, Wadley G, Murray G, Herrman H, Chambers R, Russon P, Miles C, D'Alfonso S, Thurley M, Chinnery G, Gilbertson T, Eleftheriadis D, Barlow E, Cagliarini D, Toh J, McAlpine S, Koval P, Bendall S, Jansen J, Hamilton M, McGorry P, Alvarez‐Jimenez M. Moderated online social therapy for depression relapse prevention in young people: pilot study of a ‘next generation’ online intervention. Early Intervention in Psychiatry 2018;12(4):613 View
  8. Bauermeister J, Golinkoff J, Muessig K, Horvath K, Hightow-Weidman L. Addressing engagement in technology-based behavioural HIV interventions through paradata metrics. Current Opinion in HIV and AIDS 2017;12(5):442 View
  9. 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
  10. Donker T, van Klaveren C, Cornelisz I, Kok R, van Gelder J. Analysis of Usage Data from a Self-Guided App-Based Virtual Reality Cognitive Behavior Therapy for Acrophobia: A Randomized Controlled Trial. Journal of Clinical Medicine 2020;9(6):1614 View
  11. Sieverink F, Kelders S, Poel M, van Gemert-Pijnen L. Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data. JMIR Research Protocols 2017;6(8):e156 View
  12. Morrison C, Doherty G. Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data. Journal of Medical Internet Research 2014;16(11):e252 View
  13. Wilansky P, Eklund J, Milner T, Kreindler D, Cheung A, Kovacs T, Shooshtari S, Astell A, Ohinmaa A, Henderson J, Strauss J, Mills R. Cognitive Behavior Therapy for Anxious and Depressed Youth: Improving Homework Adherence Through Mobile Technology. JMIR Research Protocols 2016;5(4):e209 View
  14. Han J, Hawkins R, Baker T, Shah D, Pingree S, Gustafson D. How Cancer Patients Use and Benefit from an Interactive Cancer Communication System. Journal of Health Communication 2017;22(10):792 View
  15. 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
  16. Yardley L, Spring B, Riper H, Morrison L, Crane D, Curtis K, Merchant G, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833 View
  17. Chen A, Wu S, Tomasino K, Lattie E, Mohr D. A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics 2019;94:103187 View
  18. 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
  19. Øksnebjerg L, Woods B, Ruth K, Lauridsen A, Kristiansen S, Holst H, Waldemar G. A Tablet App Supporting Self-Management for People With Dementia: Explorative Study of Adoption and Use Patterns. JMIR mHealth and uHealth 2020;8(1):e14694 View
  20. Mulawa M, LeGrand S, Hightow-Weidman L. eHealth to Enhance Treatment Adherence Among Youth Living with HIV. Current HIV/AIDS Reports 2018;15(4):336 View
  21. 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
  22. 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
  23. Whitton A, Proudfoot J, Clarke J, Birch M, Parker G, Manicavasagar V, Hadzi-Pavlovic D. Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress. JMIR Mental Health 2015;2(1):e3 View
  24. Søgaard Neilsen A, Wilson R. Combining e‐mental health intervention development with human computer interaction (HCI) design to enhance technology‐facilitated recovery for people with depression and/or anxiety conditions: An integrative literature review. International Journal of Mental Health Nursing 2019;28(1):22 View
  25. Schueller S, Tomasino K, Mohr D. Integrating Human Support Into Behavioral Intervention Technologies: The Efficiency Model of Support. Clinical Psychology: Science and Practice 2017;24(1):27 View
  26. Zeng Y, Guo Y, Li L, Hong Y, Li Y, Zhu M, Zeng C, Zhang H, Cai W, Liu C, Wu S, Chi P, Monroe-Wise A, Hao Y, Ho R. Relationship Between Patient Engagement and Depressive Symptoms Among People Living With HIV in a Mobile Health Intervention: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e20847 View
  27. Apolinário-Hagen J, Menzel M, Hennemann S, Salewski C. Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study. JMIR Formative Research 2018;2(2):e11977 View
  28. van der Vaart R, Witting M, Riper H, Kooistra L, Bohlmeijer E, van Gemert-Pijnen L. Blending online therapy into regular face-to-face therapy for depression: content, ratio and preconditions according to patients and therapists using a Delphi study. BMC Psychiatry 2014;14(1) View
  29. Ploderer B, Reitberger W, Oinas-Kukkonen H, van Gemert-Pijnen J. Social interaction and reflection for behaviour change. Personal and Ubiquitous Computing 2014;18(7):1667 View
  30. Arden-Close E, Smith E, Bradbury K, Morrison L, Dennison L, Michaelides D, Yardley L. A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR). JMIR Human Factors 2015;2(1):e8 View
  31. Wykes T, Brown M. Over promised, over-sold and underperforming? – e-health in mental health. Journal of Mental Health 2016;25(1):1 View
  32. Alfonsson S, Olsson E, Hursti T. Motivation and Treatment Credibility Predicts Dropout, Treatment Adherence, and Clinical Outcomes in an Internet-Based Cognitive Behavioral Relaxation Program: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(3):e52 View
  33. 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
  34. Morrison L, Geraghty A, Lloyd S, Goodman N, Michaelides D, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74 View
  35. 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
  36. Becker D, van Breda W, Funk B, Hoogendoorn M, Ruwaard J, Riper H. Predictive modeling in e-mental health: A common language framework. Internet Interventions 2018;12:57 View
  37. Agyapong V, Juhás M, Ohinmaa A, Omeje J, Mrklas K, Suen V, Dursun S, Greenshaw A. Randomized controlled pilot trial of supportive text messages for patients with depression. BMC Psychiatry 2017;17(1) View
  38. Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, Maaieh H, Strecher V. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR mHealth and uHealth 2018;6(11):e10123 View
  39. Kooistra L, Ruwaard J, Wiersma J, van Oppen P, van der Vaart R, van Gemert-Pijnen J, Riper H. Development and initial evaluation of blended cognitive behavioural treatment for major depression in routine specialized mental health care. Internet Interventions 2016;4:61 View
  40. Ainsworth B, Steele M, Stuart B, Joseph J, Miller S, Morrison L, Little P, Yardley L. Using an Analysis of Behavior Change to Inform Effective Digital Intervention Design: How Did the PRIMIT Website Change Hand Hygiene Behavior Across 8993 Users?. Annals of Behavioral Medicine 2017;51(3):423 View
  41. Engelbertink M, Kelders S, Woudt-Mittendorff K, Westerhof G. Participatory design of persuasive technology in a blended learning course: A qualitative study. Education and Information Technologies 2020;25(5):4115 View
  42. Zhang N, Rudi J, Zamir O, Gewirtz A. Parent Engagement in Online Mindfulness Exercises Within a Parent Training Program for Post-Deployed Military Families. Mindfulness 2018;9(3):725 View
  43. Mukhiya S, Wake J, Inal Y, Pun K, Lamo Y. Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review. Journal of Medical Internet Research 2020;22(11):e21066 View
  44. Hind D, Drabble S, Arden M, Mandefield L, Waterhouse S, Maguire C, Cantrill H, Robinson L, Beever D, Scott A, Keating S, Hutchings M, Bradley J, Nightingale J, Allenby M, Dewar J, Whelan P, Ainsworth J, Walters S, Wildman M, O'Cathain A. Feasibility study for supporting medication adherence for adults with cystic fibrosis: mixed-methods process evaluation. BMJ Open 2020;10(10):e039089 View
  45. 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
  46. 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
  47. Krijnen-de Bruin E, Muntingh A, Bourguignon E, Hoogendoorn A, Maarsingh O, van Balkom A, Batelaan N, van Straten A, van Meijel B. Usage Intensity of a Relapse Prevention Program and Its Relation to Symptom Severity in Remitted Patients With Anxiety and Depression: Pre-Post Study. JMIR Mental Health 2022;9(3):e25441 View
  48. 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
  49. Baglione A, Cai L, Bahrini A, Posey I, Boukhechba M, Chow P. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712 View
  50. Ren X. Contemplative pedagogy for positive engagement in online teaching and learning in higher education. Teaching in Higher Education 2024;29(1):334 View
  51. 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
  52. van Beurden S, Greaves C, Abraham C, Lawrence N, Smith J. “It helps me to stay on the right path, rather than give in”: Mixed-method process evaluation of the ImpulsePal app-based intervention for weight management. DIGITAL HEALTH 2023;9 View
  53. Davis C, Miller M, McLean C. Use of Exposure in an mHealth App Predicts Posttraumatic Stress Symptom Reduction: Secondary Analysis of a Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2023 View
  54. Sweeney C, Ennis E, Mulvenna M, Bond R, O'Neill S. Insights Derived From Text-Based Digital Media, in Relation to Mental Health and Suicide Prevention, Using Data Analysis and Machine Learning: Systematic Review. JMIR Mental Health 2024;11:e55747 View
  55. Sawyer M, Reece C, Bowering K, Jeffs D, Sawyer A, Peters J, Mpundu-Kaambwa C, Clark J, McDonald D, Mittinty M, Lynch J. Usage, adherence and attrition: how new mothers engage with a nurse-moderated web-based intervention to support maternal and infant health. A 9-month observational study. BMJ Open 2016;6(8):e009967 View

Books/Policy Documents

  1. van Gemert-Pijnen L, Span M. Handbook of Smart Homes, Health Care and Well-Being. View
  2. Becker D. Advances in Information and Communication Networks. View
  3. van Gemert-Pijnen L, Span M. Handbook of Smart Homes, Health Care and Well-Being. View
  4. van Gemert-Pijnen L, Span M. Handbook of Smart Homes, Health Care and Well-Being. View
  5. Sjöström J, Kruse L, Haj-Bolouri A, Flensburg P. Designing for a Digital and Globalized World. View