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Designing and evaluating a self-management support system for renal transplant patients : The first step

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Author: Wang, W. · Rövekamp, T.J.M. · Brinkman, W.P. · Alpay, L. · Boog, P. van der · Neerincx, M.A.
Source:30th European Conference on Cognitive Ergonomics, ECCE 2012, 28 August 2012 through 31 August 2012, Edinburgh, D15-D19
ACM International Conference Proceeding Series
Identifier: 471075
doi: doi:10.1145/2448136.2448184
ISBN: 9781450317863
Keywords: Health · Ecoach · Feedback · Renal transplant patient · Self-management support system · Virtual coach · Healthy for Life · Healthy Living · Human · LS - Life Style PCS - Perceptual and Cognitive Systems · BSS - Behavioural and Societal Sciences


Motivation - Thanks to the mobile measurement and telecare technology, it becomes possible to build selfmanagement support systems for renal transplant patients. This project aims to provide (1) a trusted and accepted selfmanagement support systems for renal transplant patients, (2) guidelines for building a virtual coach for supporting feedback in the self-management support system for chronic disease self-management, and (3) an overview of the human factors that should be taken into account in self-management support system development processes. Research approach - A situated Cognitive Engineering method guides the development of a requirement baseline and its design rationale of the self-management support system, including a virtual coach, for renal transplant patients. Via focus group sessions, mock-ups and rapid prototypes, (parts of) the requirements and rationale will be generated, tested and refined in relatively short iterative cycles. Furthermore, about 50 patients will use a basic version of the system to examine (1) the influence of human factors on selfmanagement and self-management support needs, (2) the impact of a self-management support system on the behavior of chronically ill patients, and (3) the doctors' acceptance of the system. Findings - So far the first prototype was designed and evaluated; major issues and users' values were extracted. Copyright 2012 ACM.