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

  • Authors:
  • Wenxin Wang;Ton J. M. Rövekamp;Willem-Paul Brinkman;Laurence Alpay;Paul van der Boog;Mark A. Neerincx

  • Affiliations:
  • Delft University of Technology, CD Delft, The Netherlands;TNO Lifestyle, Leiden, The Netherlands;Delft University of Technology, CD Delft, The Netherlands;TNO Lifestyle, Leiden, The Netherlands;Leiden University Medical Center, Leiden, The Netherlands;Delft University of Technology, CD Delft, The Netherlands and TNO Human Factors, Soesterberg, The Netherlands

  • Venue:
  • Proceedings of the 30th European Conference on Cognitive Ergonomics
  • Year:
  • 2012

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Abstract

Motivation -- Thanks to the mobile measurement and tele-care technology, it becomes possible to build self-management support systems for renal transplant patients. This project aims to provide (1) a trusted and accepted self-management 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 self-management 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.