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Long-term prognostic counselling in people with multiple sclerosis using an online analytical processing tool.

Authors :
Kosch R
Schiffmann I
Daumer M
Lederer C
Scalfari A
Galea I
Scheiderbauer J
Rahn A
Heesen C
Source :
Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2021 Aug; Vol. 27 (9), pp. 1442-1450. Date of Electronic Publication: 2020 Oct 26.
Publication Year :
2021

Abstract

Background: Prognostic counselling is a sensitive issue in medicine and especially so in MS due to the highly heterogeneous disease course. However, people with MS (pwMS) seek prognostic information. The web-based 'Evidence-Based Decision Support Tool in Multiple Sclerosis' (EBDiMS) uses data of 717 patients from the London/Ontario cohort to calculate personalized long-term prognostic information.<br />Objective: The aim of this study was to investigate the feasibility and effect of long-term prognostic counselling in pwMS using EBDiMS.<br />Methods: Ninety consecutive pwMS were provided with personalized estimations of expected time to reach Expanded Disability Status Scale (EDSS) scores of 6 and 8 and time to conversion to secondary-progressive MS. Participants gave estimates on their own putative prognosis and rated the tool's acceptability on six-step Likert-type scales.<br />Results: Participants rated EBDiMS as highly understandable, interesting and relevant for patient-physician encounters, coping and therapy decisions. Although it provoked a certain degree of worry in some participants, 95% would recommend using the tool. Participants' own prognosis estimates did not change significantly following EBDiMS.<br />Conclusion: Long-term prognostic counselling using an online tool has been shown to be feasible in a clinical setting. EBDiMS provides pwMS with relevant, easy-to-understand, long-term prognostic information without causing relevant anxiety.

Details

Language :
English
ISSN :
1477-0970
Volume :
27
Issue :
9
Database :
MEDLINE
Journal :
Multiple sclerosis (Houndmills, Basingstoke, England)
Publication Type :
Academic Journal
Accession number :
33103987
Full Text :
https://doi.org/10.1177/1352458520964774