Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49739
Title: Assessing the Value of Digital Tools for Effective Shared Decision Making on Physical Activity in Cardiac Secondary Prevention
Authors: CONINX, Karin 
BABAEI BALDERLO, Shahrzad 
RAMAKERS, Wim 
KIZILKILIC, Sevda 
SEGUNDO DIAZ, Rosa Lilia 
DENDALE, Paul 
HANSEN, Dominique 
Issue Date: 2026
Publisher: Springer
Source: Hu, J., Coninx, K., Yu, B., Borzì, L., Houben, M. , J. (Ed.). Pervasive Computing Technologies for Healthcare, Springer, p. 387 -406
Series/Report: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Series/Report no.: vol 693
Abstract: Physical activity is a key component in secondary prevention for patients with cardiac disease. Patients often face challenges to reach and sustain an appropriate level of physical activity. While guidance of caregivers is essential in the initial stage of rehabilitation, personalised approaches that take into account patient preferences provide opportunities for successful lifestyle interventions. In a recent RCT, we evaluated such a shared decision making approach that includes patient preferences for physical activity. Both caregivers and patients were supported by digital tools. Results of the RCT show the effectiveness of shared decision making supported by digital tools on physical activity. Quality of life and exercise capacity significantly increased after the 12-week intervention, and a significant increase in daily step count was observed in the intervention group. In this paper, we present a secondary analysis of the collected data from a Human-Computer Interaction perspective, in search of the added value of digital tools in effective shared decision making. With this aim, we depict our hypotheses as a theoretical model with technology-related and rehabilitation process related constructs and investigate their correlation with the outcomes. This approach enhances insights in factors that determine the effectiveness of digitally supported shared decision making. Although the model cannot extensively clarify all contributing factors, the secondary analysis reveals a need for personalisation.
Other: Editors are: Hu, J., Coninx, K., Yu, B., Borzì, L., Houben, M.
Keywords: shared decision making;physical activity;adherence;cardiac disease;mHealth
Document URI: http://hdl.handle.net/1942/49739
ISBN: 978-3-032-27581-3
978-3-032-27582-0
DOI: 10.1007/978-3-032-27582-0_24
Rights: 2026 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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