The impact of the face-to-face consultation on decisional conflict in complex decision-making in multiple sclerosis: a pilot study
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Published version
Author(s)
Wilkie, David
Solari, Alessandra
Nicholas, Richard
Type
Journal Article
Abstract
BackgroundThe role of face-to-face consultations in medicine is increasingly being challenged. Disease activity, national guidelines, life goals e.g. pregnancy, multiple therapies and side effects need to be considered on starting disease modifying treatments (DMTs) in people with multiple sclerosis (pwMS). ObjectivesWe studied the impact of a face-to-face consultation on decision making, using decisional conflict (DC) as the primary outcome. MethodsProspective cohort study of 73 pwMS attending clinics who were making decisions about DMTs followed for one year. Prerequisites and consultation features were measured with the SURE scale for DC used as the primary outcome at baseline and at one year.ResultsThe patient activation measure (PAM) was the only driver prior to the consultation associated with DC (p=0.02) showing those less engaged were more likely to have DC. Overall, 51/73 (70%) of people made their treatment decision or reinforced a former decision during the consultation. We found making a treatment decision between the original consultation and the follow-up was associated with resolving DC (p=0.008).Conclusions Patient engagement impacts DC but the HCP delivering the optimal Shared Decision Making (SDM) approach is additionally significant in reducing DC. In complex decisions there is a clear role for face-to-face consultations in current practice.
Date Issued
2020-10-01
Date Acceptance
2020-08-29
Citation
Multiple Sclerosis Journal - Experimental, Translational and Clinical, 2020, 6 (4), pp.1-11
ISSN
2055-2173
Publisher
SAGE Publications
Start Page
1
End Page
11
Journal / Book Title
Multiple Sclerosis Journal - Experimental, Translational and Clinical
Volume
6
Issue
4
Copyright Statement
© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
License URL
Identifier
https://journals.sagepub.com/doi/10.1177/2055217320959802
Publication Status
Published
Date Publish Online
2020-10-01