Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34418
Title: Theory-Informed Design Guidelines for Shared Decision Making Tools for Health Behaviour Change
Authors: BONNEUX, Cindel 
ROVELO RUIZ, Gustavo 
DENDALE, Paul 
CONINX, Karin 
Issue Date: 2021
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Source: Ali, Raian; Lugrin, Birgit; Charles, Fred (Ed.). Persuasive Technology 16th International Conference, PERSUASIVE 2021, Virtual Event, April 12–14, 2021, Proceedings, p. 259 -274
Series/Report: Lecture Notes in Computer Science
Series/Report no.: 12684
Abstract: Recently, the design and development of persuasive applications to support behaviour change in healthcare have gained interest. However, achieving sustained behaviour change remains challenging. Shared decision making (SDM) is increasingly advocated for making preference-sensitive decisions. In SDM, the patient and caregiver combine the patient’s preferences, values, goals, and context with the medical evidence and expert opinions to make an informed decision. The link between shared decision making and behaviour change has not yet been investigated thoroughly. Furthermore, there is little guidance on designing applications providing SDM support. In this paper, we focus on how SDM can help in achieving sustained behaviour change by presenting how SDM can bring in the caregiver perspective in the well-known, patient-oriented Fogg Behaviour Model. We propose seven principles to design a system aimed at supporting patients and caregivers during SDM encounters when making decisions regarding behaviour change. We conclude with an illustration of how our proposed design principles have been applied in two existing applications developed to support SDM for behaviour change.
Keywords: Shared decision making;Behaviour change;Design principles;Decision aids;Persuasion;eHealth
Document URI: http://hdl.handle.net/1942/34418
ISBN: 9783030794590
ISSN: 0302-9743
DOI: 10.1007/978-3-030-79460-6_21
ISI #: 000788285600021
Rights: Springer Nature Switzerland AG 2021
Category: A1
Type: Proceedings Paper
Validations: ecoom 2023
Appears in Collections:Research publications

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