Mediating the cognitive walkthrough with patient groups to achieve personalized health in chronic disease self-management system evaluation
2016 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 224, 146-151 p.Article in journal (Refereed) Published
The cognitive walkthrough (CW) is a task-based, expert inspection usability evaluation method involving benefits such as cost effectiveness and efficiency. A drawback of the method is that it doesn’t involve the user perspective from real users but instead is based on experts’ predictions about the usability of the system and how users interact. In this paper, we propose a way of involving the user in an expert evaluation method by modifying the CW with patient groups as mediators. This along with other modifications include a dual domain session facilitator, specific patient groups and three different phases: 1) a preparation phase where suitable tasks are developed by a panel of experts and patients, validated through the content validity index 2) a patient user evaluation phase including an individual and collaborative process part 3) an analysis and coding phase where all data is digitalized and synthesized making use of Qualitative Data Analysis Software (QDAS) to determine usability deficiencies. We predict that this way of evaluating will utilize the benefits of the expert methods, also providing a way of including the patient user of these self-management systems. Results from this prospective study should provide evidence of the usefulness of this method modification. Â© 2016 The authors and IOS Press. All rights reserved.
Place, publisher, year, edition, pages
2016. Vol. 224, 146-151 p.
Nursing Information Systems
IdentifiersURN: urn:nbn:se:bth-13220DOI: 10.3233/978-1-61499-653-8-146ScopusID: 2-s2.0-84973487070OAI: oai:DiVA.org:bth-13220DiVA: diva2:1010192
Conference of 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 ; Conference Date: 29 May 2016 Through 31 May 2016; Conference Code:1218522016-10-032016-10-032016-11-08Bibliographically approved