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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (498) Research Instruments, Questionnaires, and Tools (586) Adoption and Change Management of eHealth Systems (729)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17757, first published .
Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study

Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study

Psychometric Evaluation of the TWente Engagement with Ehealth Technologies Scale (TWEETS): Evaluation Study

Authors of this article:

Saskia Marion Kelders1, 2 Author Orcid Image ;   Hanneke Kip1 Author Orcid Image ;   Japie Greeff2, 3 Author Orcid Image
Article Authors Cited by (43) Tweetations (6) Metrics

Journals

  1. Meyerhoff J, Haldar S, Mohr D. The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions. Internet Interventions 2021;25:100399 View
  2. 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
  3. Boumparis N, Schulte M, Kleiboer A, Huizink A, Riper H. A Mobile Intervention to Promote Low-Risk Drinking Habits in Young Adults: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(6):e29750 View
  4. Slovak P, Ford B, Widen S, Daudén Roquet C, Theofanopoulou N, Gross J, Hankin B, Klasnja P. An In Situ, Child-Led Intervention to Promote Emotion Regulation Competence in Middle Childhood: Protocol for an Exploratory Randomized Controlled Trial. JMIR Research Protocols 2021;10(11):e28914 View
  5. Ramadurai R, Beckham E, McHugh R, Björgvinsson T, Beard C. Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series. JMIR Mental Health 2022;9(8):e33545 View
  6. Amarti K, Schulte M, Kleiboer A, Van Genugten C, Oudega M, Sonnenberg C, Gonçalves G, Rocha A, Riper H. Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility Studies. JMIR Research Protocols 2022;11(10):e41445 View
  7. Mertens E, Siezenga A, Tettero T, van Gelder J. A future orientation intervention delivered through a smartphone application and virtual reality: study protocol for a randomized controlled trial. BMC Psychology 2022;10(1) View
  8. Keizer J, Bente B, Al Naiemi N, Van Gemert-Pijnen L, Beerlage-De Jong N. Improving the Development and Implementation of Audit and Feedback Systems to Support Health Care Workers in Limiting Antimicrobial Resistance in the Hospital: Scoping Review. Journal of Medical Internet Research 2022;24(3):e33531 View
  9. Badaghi N, van Kruijsbergen M, Prins J, Kelders S, Cillessen L, Compen F, Donders R, Kwakkenbos L, Speckens A. Effect of blended and unguided online delivery of mindfulness-based cognitive therapy versus care as usual on distress among cancer patients and survivors: protocol for the three-arm parallel randomized controlled buddy trial. BMC Psychology 2023;11(1) View
  10. Kwan R, Lam S, Wang S, Wong A, Shi L, Wong F. Perception of E-health Technology Scale in Chinese Brief (PETS-C Brief): Translation, item reduction, and psychometric testing. DIGITAL HEALTH 2022;8:205520762211260 View
  11. Bijkerk L, Oenema A, Geschwind N, Spigt M. Measuring Engagement with Mental Health and Behavior Change Interventions: an Integrative Review of Methods and Instruments. International Journal of Behavioral Medicine 2023;30(2):155 View
  12. Balaskas A, Schueller S, Cox A, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4 View
  13. Kaveladze B, Wasil A, Bunyi J, Ramirez V, Schueller S. User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews. JMIR Human Factors 2022;9(1):e30766 View
  14. 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
  15. Auxier J, Savolainen K, Bender M, Rahmani A, Sarhaddi F, Azimi I, Axelin A. Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective. JMIR Formative Research 2023;7:e44385 View
  16. Franco P, Olhaberry M, Cuijpers P, Kelders S, Muzard A. App-based intervention for reducing depressive symptoms in postpartum women: Protocol for a feasibility randomized controlled trial. Internet Interventions 2023;32:100616 View
  17. Auxier J, Bender M, Hakojärvi H, Axelin A. Patient engagement practice within perinatal eHealth: A scoping review. Nursing Open 2023;10(8):4971 View
  18. Fletcher R, Regan C, Dizon J, Leigh L. Understanding Attrition in Text-Based Health Promotion for Fathers: Survival Analysis. JMIR Formative Research 2023;7:e44924 View
  19. Williams A, Freed M, Theofanopoulou N, Daudén Roquet C, Klasnja P, Gross J, Schleider J, Slovak P. Feasibility, Perceived Impact, and Acceptability of a Socially Assistive Robot to Support Emotion Regulation With Highly Anxious University Students: Mixed Methods Open Trial. JMIR Mental Health 2023;10:e46826 View
  20. 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
  21. Su J, Bayuo J, Abu-Odah H, Lin R, He Q, Molassiotis A. Perception of eHealth Programs for Cardiovascular Health. Journal of Cardiovascular Nursing 2023 View
  22. Dzubur E, Yu J, Hoffman J, Painter S, James R, Shah B. The Effect of a Digital Mental Health Program on Anxiety and Depression Symptoms: Retrospective Analysis of Clinical Severity. JMIR Formative Research 2023;7:e36596 View
  23. Hoffman V, Flom M, Mariano T, Chiauzzi E, Williams A, Kirvin-Quamme A, Pajarito S, Durden E, Perski O. User Engagement Clusters of an 8-Week Digital Mental Health Intervention Guided by a Relational Agent (Woebot): Exploratory Study. Journal of Medical Internet Research 2023;25:e47198 View
  24. Williams A, Townsend E, Naeche N, Chapman-Nisar A, Hollis C, Slovak P. Investigating the Feasibility, Acceptability, and Appropriation of a Socially Assistive Robot Among Minority Youth at Risk of Self-Harm: Results of 2 Mixed Methods Pilot Studies. JMIR Formative Research 2023;7:e52336 View
  25. Davis J, Finlay-Jones A, Bear N, Prescott S, Silva D, Ohan J. Time-out for well-being: A mixed methods evaluation of attitudes and likelihood to engage in different types of online emotional well-being programmes in the perinatal period. Women's Health 2023;19 View
  26. Forbes A, Keleher M, Venditto M, DiBiasi F. Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e43727 View
  27. 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
  28. van der Horst A, Meijer L, van Os - Medendorp H, Jukema J, Bohlmeijer E, Schreurs K, Kelders S. Benefits, Recruitment, Dropout, and Acceptability of the Strength Back Digital Health Intervention for Patients Undergoing Spinal Surgery: Nonrandomized, Qualitative, and Quantitative Pilot Feasibility Study. JMIR Formative Research 2024;8:e54600 View
  29. Williams A, Cleare S, Borschmann R, Tench C, Gross J, Hollis C, Chapman-Nisar A, Naeche N, Townsend E, Slovak P. Enhancing emotion regulation with an in situ socially assistive robot among LGBTQ+ youth with self-harm ideation: protocol for a randomised controlled trial. BMJ Open 2024;14(1):e079801 View
  30. Badaghi N, van Kruijsbergen M, Speckens A, Vilé J, Prins J, Kelders S, Kwakkenbos L. Group, Blended and Individual, Unguided Online Delivery of Mindfulness-Based Cognitive Therapy for People With Cancer: Feasibility Uncontrolled Trial. JMIR Formative Research 2024;8:e52338 View
  31. Milne-Ives M, Homer S, Andrade J, Meinert E. The conceptualisation and measurement of engagement in digital health. Internet Interventions 2024;36:100735 View
  32. Franco P, Olhaberry M, Kelders S, Muzard A, Cuijpers P. Guided web app intervention for reducing symptoms of depression in postpartum women: Results of a feasibility randomized controlled trial. Internet Interventions 2024;36:100744 View
  33. Franco P, Olhaberry M, Muzard A, Harismendy Á, Kelders S. Developing a Guided Web App for Postpartum Depression Symptoms: User-Centered Design Approach. JMIR Formative Research 2024;8:e56319 View
  34. Fiedler J, Bergmann M, Sell S, Woll A, Stetter B. Just-in-Time Adaptive Interventions for Behavior Change in Physiological Health Outcomes and the Use Case for Knee Osteoarthritis: Systematic Review. Journal of Medical Internet Research 2024;26:e54119 View
  35. Ramadurai R, Gustaveson J, Bosch J, Shah M. Augmenting Virtual Mindfulness Group With a Mindfulness App in Integrated Primary Care: Development, Feasibility, and Acceptability. Cognitive and Behavioral Practice 2024 View
  36. Tönis K, Kraiss J, Drossaert C, Karreman J, Oostinga M, Kloos N, Austin J, Bohlmeijer E. Regaining Mental Well-Being in the Aftermath of the Covid-19 Pandemic with a Digital Multicomponent Positive Psychology Intervention: A Randomized Controlled Trial. Journal of Happiness Studies 2024;25(7) View
  37. Asbjørnsen R, Børøsund E, Hjelmesæth J, Smedsrød M, Ollivier M, Wentzel J, Clark M, van Gemert-Pijnen J, Solberg Nes L. Digital behaviour change intervention for weight loss maintenance in adults with obesity: a feasibility pilot study of eCHANGE. Behaviour & Information Technology 2024:1 View
  38. 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
  39. Arigo D, Jake-Schoffman D, Pagoto S. The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024. Journal of Behavioral Medicine 2024 View
  40. Rosa D, Villa G, Marcomini I, Nardin E, Gianfranceschi E, Faini A, Pengo M, Bilo G, Croce A, Manara D, Parati G. Psychometric Properties of the TWente Engagement with Ehealth Technologies Scale (TWEETS) Among Patients with Hypertension in Italy. High Blood Pressure & Cardiovascular Prevention 2024 View
  41. van den Berg J, van der Veen D, van Beek D, Bouman Y, Burger J, Janssen E, Kip H, Riese H, Smid W, Gijs L. Personalised monitoring and feedback on risk-relevant features in forensic case formulation: a series of case-studies in men who have committed sexual offences. Journal of Sexual Aggression 2024:1 View
  42. Stiles-Shields C, Reyes K, Lakhtakia T, Smith S, Barnas O, Gray E, Krause C, Kruzan K, Kwasny M, Mir Z, Panjwani S, Rothschild S, Sánchez-Johnsen L, Winquist N, Lattie E, Allen N, Reddy M, Mohr D. A personal sensing technology enabled service versus a digital psychoeducation control for primary care patients with depression and anxiety: a pilot randomized controlled trial. BMC Psychiatry 2024;24(1) View

Books/Policy Documents

  1. Barendregt R, Wasson B, Heitmann M. Mobile and Ubiquitous Systems: Computing, Networking and Services. View