TY - JOUR
T1 - Technology-supported shared decision-making in chronic conditions
T2 - A systematic review of randomized controlled trials
AU - Vaseur, Roswita M.E.
AU - te Braake, Eline
AU - Beinema, Tessa
AU - d'Hollosy, Wendy Oude Nijeweme
AU - Tabak, Monique
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/7
Y1 - 2024/7
N2 - Objectives: To describe the role of patients with a chronic disease, healthcare professionals (HCPs) and technology in shared decision making (SDM) and the use of clinical decision support systems (CDSSs), and to evaluate the effectiveness of SDM and CDSSs interventions. Methods: Randomized controlled studies published between 2011 and 2021 were identified and screened independently by two reviewers, followed by data extraction and analysis. SDM elements and interactive styles were identified to shape the roles of patients, HCPs and technology. Results: Forty-three articles were identified and reported on 21 SDM-studies, 15 CDSS-studies, 2 studies containing both an SDM-tool and a CDSS, and 5 studies with other decision support components. SDM elements were mostly identified in SDM-tools and interactions styles were least common in the other decision support components. Conclusions: Patients within the included RCTs mainly received information from SDM-tools and occasionally CDSSs when it concerns treatment strategies. HCPs provide and clarify information using SDM-tools and CDSSs. Technology provides interactions, which can support more active SDM. SDM-tools mostly showed evidence for positive effects on SDM outcomes, while CDSSs mostly demonstrated positive effects on clinical outcomes. Practice implications: Technology-supported SDM has potential to optimize SDM when patients, HCPs and technology collaborate well together.
AB - Objectives: To describe the role of patients with a chronic disease, healthcare professionals (HCPs) and technology in shared decision making (SDM) and the use of clinical decision support systems (CDSSs), and to evaluate the effectiveness of SDM and CDSSs interventions. Methods: Randomized controlled studies published between 2011 and 2021 were identified and screened independently by two reviewers, followed by data extraction and analysis. SDM elements and interactive styles were identified to shape the roles of patients, HCPs and technology. Results: Forty-three articles were identified and reported on 21 SDM-studies, 15 CDSS-studies, 2 studies containing both an SDM-tool and a CDSS, and 5 studies with other decision support components. SDM elements were mostly identified in SDM-tools and interactions styles were least common in the other decision support components. Conclusions: Patients within the included RCTs mainly received information from SDM-tools and occasionally CDSSs when it concerns treatment strategies. HCPs provide and clarify information using SDM-tools and CDSSs. Technology provides interactions, which can support more active SDM. SDM-tools mostly showed evidence for positive effects on SDM outcomes, while CDSSs mostly demonstrated positive effects on clinical outcomes. Practice implications: Technology-supported SDM has potential to optimize SDM when patients, HCPs and technology collaborate well together.
KW - CDSSs
KW - Chronic diseases
KW - Clinical decision support systems
KW - Patient-provider communication
KW - SDM
KW - Shared Decision Making
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U2 - 10.1016/j.pec.2024.108267
DO - 10.1016/j.pec.2024.108267
M3 - Review article
C2 - 38547638
AN - SCOPUS:85189167771
SN - 0738-3991
VL - 124
JO - Patient Education and Counseling
JF - Patient Education and Counseling
M1 - 108267
ER -