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An Internet-based intervention for eating disorders consisting of automated computer-tailored feedback with or without supplemented frequent or infrequent support from a coach: study protocol for a…

Overview of attention for article published in Trials, October 2013
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Title
An Internet-based intervention for eating disorders consisting of automated computer-tailored feedback with or without supplemented frequent or infrequent support from a coach: study protocol for a randomized controlled trial
Published in
Trials, October 2013
DOI 10.1186/1745-6215-14-340
Pubmed ID
Authors

Jiska J Aardoom, Alexandra E Dingemans, Philip Spinhoven, Leona Hakkaart-van Roijen, Eric F Van Furth

Abstract

Several Internet-based interventions for eating disorders have shown their effectiveness. Still, there is a need to refine such interventions given that most existing programs seem to be limited by their static 'one-size-fits-all' approach. 'Featback', an Internet-based intervention for symptoms of eating disorders provides a more individualized approach. It consists of several components (psychoeducation, a fully automated monitoring and feedback system, and support from a coach), which can be matched to participants' needs and preferences. Until now, it is unclear whether online self-help interventions for eating disorders with support are more effective than those without. The aims of the current study are i) to examine the relative effectiveness of (the different components of) Featback; ii) to examine predictors, moderators and mediators of intervention responses; iii) to report on practical experiences with Featback; and iv) to examine the cost-effectiveness of Featback.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Portugal 1 <1%
Germany 1 <1%
Unknown 297 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 55 18%
Researcher 44 15%
Student > Ph. D. Student 37 12%
Student > Doctoral Student 22 7%
Student > Bachelor 22 7%
Other 50 17%
Unknown 71 24%
Readers by discipline Count As %
Psychology 103 34%
Medicine and Dentistry 35 12%
Social Sciences 20 7%
Nursing and Health Professions 18 6%
Unspecified 10 3%
Other 36 12%
Unknown 79 26%