Cited by 96Mobile Health and mHealth ApplicationsInnovative Human-Technology InteractionDigital Mental Health Interventions

An online lifestyle diary with a persuasive computer assistant providing feedback on self-management

Blanson Henkemans, Olivier A., van der Boog, Paul J.M., Lindenberg, Jasper, van der Mast, Charles A.P.G., Neerincx, Mark A., Zwetsloot-Schonk, Bertie J.H.M.·2009·Technology and Health Care

Abstract

In accordance with the global trend, in The Netherlands approximately 45% of the population is overweight. Existing studies show that patient self-management can reduce these figures, but medical non-adherence is a persistent problem. eHealth can potentially increase adherence to self-management. Consequently, we designed a persuasive computer assistant and evaluated its influence on self-management, i.e., the use of an online lifestyle diary called DieetInzicht.nl. The assistant is represented by an animated iCat, which shows different facial expressions and provides cooperative feedback following principles from the motivational interviewing method. We conducted a randomized controlled trial with 118 overweight people over a period of four weeks and studied the difference between diary use with and without computer assistant feedback. Results show that the computer assistant contributed to filling in the diary more frequently, reduced the decline in motivation to perform self-management, lowered the (reported) BMI, and improved the ease of use. Furthermore, diary use increased knowledge of maintaining a healthy lifestyle. Finally, personal characteristics, i.e., locus of control, vocabulary, computer experience, age, gender, education level and initial BMI, explained the variance in the diary use and its outcome. Of the 118 participants 35 filled in the closing survey, covering motivation, BMI, lifestyle knowledge and ease of use, which implies that the findings based on these results are mainly representative for motivated participants. In general, this study shows that the Dieetinzicht eHealth service, including a personal computer assistant, is likely to support motivated overweight people and lifestyle related diseases to get a better insight in and adhere to their self-management.

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Crossref · 10.3233/thc-2009-0545

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References 33 · Cited by 96

Authors
Blanson Henkemans, O. A., van der Boog, P. J. M., Lindenberg, J., van der Mast, C. A. P. G., Neerincx, M. A., & Zwetsloot-Schonk, B. J. H. M.
Affiliations
  • Delft University of Technology, Delft, The Netherlands
  • Leiden University Medical Center, Leiden, The Netherlands
  • Netherlands Organisation for Applied Scientific Research (NL)
  • Leiden University Medical Center (NL)
Venue
Technology and Health Care
Published
2009-07-23
Volume
17
Issue
3
Pages
253-267
ISSN
  • 0928-7329 (ISSN-L)
  • 1878-7401
OpenAlex
W1741156858
Cited by
96
References
33
Citations by year
2026: 1 · 2024: 4 · 2023: 2 · 2022: 6 · 2021: 5 · 2020: 3 · 2019: 7 · 2018: 3 · 2017: 6 · 2016: 7 · 2015: 6 · 2014: 8 · 2013: 10 · 2012: 11
FWCI
16.95
Type
journal article
Language
en
Open access
closed
Locations
  • Technology and Health Care (publishedVersion)
  • PubMed (publishedVersion)
  • TNO Repository (submittedVersion)
  • Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
Leids Universitair Medisch Centrum
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
persuasive technology, self-management, overweight, motivational interviewing, e-health, medication adherence, body mass index, motivation, locus of control, computer experience, ease of use
MeSH terms
Analysis of Variance, Diet, Feedback, Health Promotion, Humans, Life Style, Medical Records, Motivation, Patient Compliance, Regression Analysis, Self Care, Weight Loss, Exercise, Body Mass Index, Patient Satisfaction, Internet, Risk Reduction Behavior, Overweight

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