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Article
License: CC BY
Data sources: UnpayWall
https://doi.org/10.2196/prepri...
Article . 2017 . Peer-reviewed
Data sources: Crossref
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(Preprint)

Authors: Andrea Giordano; Katrin Liethmann; Sascha K�pke; Jana Poettgen; Anne Rahn; Jelena Drulovic; Yesim Beckmann; +7 Authors

(Preprint)

Abstract

BACKGROUND Adequate risk knowledge of people with Multiple Sclerosis (pwMS) is a prerequisite for informed choices in medical encounters. Previous work showed that MS risk knowledge is low among pwMS and role preferences are different in Italy and Germany. OBJECTIVE We investigated the level of risk knowledge and role preferences in 8 countries and assessed putative variables associated with risk knowledge. METHODS An online-survey was performed based on the Risk knowledge questionnaire for people with relapsing-remitting MS (RIKNO 2.0), the electronic Control Preference Scale (eCPS), and other patient questionnaires. RESULTS Of 1939 participants from Germany, Italy, the Netherlands, Serbia, Spain and Turkey, 986 (51%) completed the RIKNO 2.0, with a mean of 41% correct answers. There were less than 50 participants in the UK and Estonia and data were not analysed. Risk knowledge differed across countries (P < .001). Variables significantly associated with higher risk knowledge were higher education (P < .001), previous experience with disease modifying drugs (P = .001), correct answer to a medical data interpretation question (P < .001), while higher fear for wheelchair dependency was negatively associated to risk knowledge (P = .001). CONCLUSIONS MS risk knowledge was overall low and differed across participating countries. These data indicate that information is an unmet need of most pwMS. CLINICALTRIAL Not applicable.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average