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Fostering Shared Decision Making with Health Informatics Interventions Based on the Boosting Framework Marieke DE VRIES a,b1 , Jesse JANSEN c , Julia VAN WEERT d and Rob HOLLAND b a Radboud University, Institute for Computing and Information Sciences (iCIS) Nijmegen, the Netherlands b Radboud University, Behavioural Science Institute (BSI), Nijmegen, the Netherlands c The University of Sydney, Sydney School of Public Health, Sydney, Australia d University of Amsterdam, Amsterdam School of Communication Research/ASCoR, Amsterdam, the Netherlands Abstract. The accumulation of medical knowledge, technology and expertise has provided people with more and more options to improve their health and increase longevity. However, healthcare options typically come with benefits as well as harms and often involve important and complex, high-stakes trade-offs. The ideal of Shared Decision Making (SDM), where a healthcare provider and a patient exchange information, bring in their respective professional and existential expertise and consider the options in light of what matters most from the patient’s perspective, is a paradigm that is increasingly viewed as a gold standard for high quality care nowadays. eHealth provides ample opportunities to foster personal health choices and SDM through digital information exchange and personal values clarification support. The boosting framework attempts to describe how to foster people’s competences to make choices. Its Application of the boosting framework to personal health choices and the SDM process unveils new and promising horizons for future research and could inform the design and evaluation of health informatics interventions such as decision support systems. Keywords. Personal Health Choices, Shared Decision Making (SDM), Decision Psychology, Boosting, Patient Decision Aids (PtDAs) Learning objectives After reading this chapter, the reader will be able to: 1. Understand how people’s competence to make their own choices can be fostered according to the boosting framework. 2. Understand how the boosting framework can be applied to design and evaluate health decision support interventions, such as patient decision aids. 3. Understand the challenges and opportunities of the boosting framework in the context of health decision support design and evaluation. 1 Corresponding Author, Marieke de Vries, E-mail: Marieke.deVries@ru.nl. Applied Interdisciplinary Theory in Health Informatics P. Scott et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/SHTI190116 109
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Applied Interdisciplinary Theory in Health Informatics Knowledge Base for Practitioners
Title
Applied Interdisciplinary Theory in Health Informatics
Subtitle
Knowledge Base for Practitioners
Authors
Philip Scott
Nicolette de Keizer
Andrew Georgiou
Publisher
IOS Press BV
Location
Amsterdam
Date
2019
Language
English
License
CC BY-NC 4.0
ISBN
978-1-61499-991-1
Size
16.0 x 24.0 cm
Pages
242
Category
Informatik
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Applied Interdisciplinary Theory in Health Informatics