Understanding adherence to web-based interventions
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to investigate two major informational issues relevant to societal and technological trends: 1) information behavior of Dutch citizens: information seeking/searching behavior, background variables, motivational variables, deployment of image and sound, consumer health vocabulary (e-) health literacy, the emerging on-demand health consumer; 2) information tools and services for citizens: support systems for a general public (idem for high risk and underserved populations; health disparities), evaluation methods, tailored health communication, search engines, integrating good examples, reaching the user (…)"The investigation of the first aim resulted in the thesis 'iHealth -Supporting Health by Technology', which was successfully defended by dr.Hans Ossebaard in June 2012.The second line of research is the topic of this thesis.In 2007, the aim of this part of the project was specified as: "to develop a virtual coach to support healthier behavior of populations at risk for chronic diseases.The system should be tailored to the needs of its users, to enable a "smooth flow of consumer-friendly information" and to encourage disease-management.Besides, the system should be consistent with high quality standards for electronic communication."Specific focus points that were identified in the research plan were, for example: justin-time preventive care; development of a virtual coach; an interactive system to support patient-system communication; and an adaptive system.The project started from a very broad point of view.Through advanced insights on the impact and uptake of eHealth technologies as seen, for example, in the work of Nijland presented in her thesis 'Grounding eHealth' and the study presented in Chapter 2 of this thesis, the focus has gradually become more specific towards the issue of non-adherence.Non-adherence (i.e.participants not following an intervention protocol) and, related, the gap in eHealth research on how to support patient-system interaction were seen in many eHealth interventions.More insight in, and ways to cope with these issues were considered a prerequisite to reach the aim of this part of the gettingBetter.nlproject and therefore became the focus of this thesis.Through the shifting and specification of the research goals, the intended target area of the research project (chronic disease) has been broadened to include lifestyle and mental Preface | 11 health.Nonetheless, many of the original goals are being addressed in the current thesis.For example, the web-based intervention "Living to the full", which is the case for Chapter 4-6, is a preventive intervention for people with mild to moderate depressive symptoms and is intended to provide 'just-in-time' care.Furthermore, the interactive system to support patient-system communication can be seen in the dialogue support category of the Persuasive System Design-model which has been found to be a main predictor of adherence in Chapter 3.
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Persuasive elements (such as text messages, tunneling and social support) are incorporated in the design of the intervention in order to improve adherence to the intervention.
“Also, persuasive elements (such as text messages, tunneling and social support) are incorporated in the design of intervention in order to improve adherence to the intervention [24].”
From A web-based self-help intervention for partners of cancer patients based on Acceptance and Commitment Therapy: a protocol of a randomized controlled trial. (2015) · cites this paper as [24]
The Principal results passage reports that greater dialogue support was associated with better adherence, and the Persuasive technology passage says reminders increase adherence. But the Principal results report only a trend for social support and no predictive value for primary task support, the category that includes tunneling. The source therefore supports designing with persuasive elements to improve adherence, but not an adherence benefit for every example listed. (LLM, conf=0.85)
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The Fun, Food, and Fitness Project (FFFP): the Baylor GEMS pilot study.
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Game reward systems: Gaming experiences and social meanings
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Methodological Challenges in Online Trials
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Behavior Change Support Systems: A Research Model and Agenda
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Winning Isn't Everything: Competition, Achievement Orientation, and Intrinsic Motivation
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Self-citationPersuasion : theory & research
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eHealth Research from the User’s Perspective
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Weight Management Using the Internet
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Köhle, N., Drossaert, C. H., Schreurs, K. M., Hagedoorn, M., Verdonck-de Leeuw, I. M., & Bohlmeijer, E. T. (2015) · BMC Public Health · doi:10.1186/s12889-015-1656-y · Cited by 38 · see citing works
Köhle, N., Drossaert, C. H., Oosterik, S., Schreurs, K. M., Hagedoorn, M., van Uden-Kraan, C. F., Verdonck-de Leeuw, I. M., & Bohlmeijer, E. T. (2015) · JMIR Cancer · doi:10.2196/cancer.4631 · Cited by 27 · see citing works
van Velsen, L., Beaujean, D. J., Wentzel, J., Van Steenbergen, J. E., & van Gemert-Pijnen, J. E. (2015) · Health Informatics Journal · doi:10.1177/1460458213496419 · Cited by 23 · see citing works
Using Log-Data as a Starting Point to Make eHealth More Persuasive
Kelders, S. M., & van Gemert-Pijnen, J. E. W. C. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-37157-8_13 · Cited by 24 · see citing works
Self-citationACT with Pain : measurement, efficacy and mechanisms of Acceptance & Commitment Therapy
Trompetter, H. (2014) · doi:10.3990/1.9789036537087 · Cited by 4 · see citing works
- Authors
- Kelders, S. M.
- Corresponding author
- Kelders, Saskia M.
- ORCID
- Kelders, Saskia M.
- Published
- 2012-07-30
- OpenAlex
- W2117698425
- Cited by
- 29
- References
- 307
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2018: 2 · 2017: 3 · 2016: 4 · 2015: 6 · 2014: 3 · 2013: 5
- Type
- dissertation
- Language
- en
- Open access
- gold
- doi.org
- Licence
- other-oa
- Locations
- University of Twente Research Information (submittedVersion, other-oa)
- Funders
- University of Twente
- Rijksinstituut voor Volksgezondheid en Milieu
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Keywords
- online intervention, intervention adherence, virtual coach, chronic disease prevention, adaptive systems, health literacy, e-health, tailored health communication, health disparities, underserved populations, information seeking, digital health literacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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