Preferences for treatments to prevent rheumatoid arthritis in Canada and the influence of shared decision-making

Harrison, Mark; Bansback, Nick; Aguiar, Magda; Koehn, Cheryl; Shojania, Kam; Finckh, Axel; Hudson, Marie

doi:10.1007/s10067-020-05072-w

Scientific article

English

Preferences for treatments to prevent rheumatoid arthritis in Canada and the influence of shared decision-making

ContributorsHarrison, Mark; Bansback, Nick; Aguiar, Magda; Koehn, Cheryl; Shojania, Kam; Finckh, Axel; Hudson, Marie

Published inClinical Rheumatology, vol. 39, no. 10, p. 2931-2941

Publication date2020

Abstract

Objective: To elicit and compare preferences of patients and first-degree relatives and rheumatologists for preventive treatments for rheumatoid arthritis, understand the influence of shared decision-making, and predict the probability of uptake of the preventive treatments currently being studied.

Keywords

Biologics
DMARDs
Discrete choice experiment
Health policy
Patient preferences
Prevention
Rheumatoid arthritis

Affiliation

Faculté de médecine / Section de médecine clinique / Département de médecine

Research group

Recherche clinique en rhumatismes inflammatoires (1010)

Citation (ISO format)

HARRISON, Mark et al. Preferences for treatments to prevent rheumatoid arthritis in Canada and the influence of shared decision-making. In: Clinical Rheumatology, 2020, vol. 39, n° 10, p. 2931–2941. doi: 10.1007/s10067-020-05072-w

Article (Published version)

Identifiers

PID : unige:157637
DOI : 10.1007/s10067-020-05072-w
PMID : 32248434

Commercial URLhttp://link.springer.com/10.1007/s10067-020-05072-w

ISSN of the journal0770-3198

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Creation08/30/2021 4:51:00 PM

First validation08/30/2021 4:51:00 PM

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Preferences for treatments to prevent rheumatoid arthritis in Canada and the influence of shared decision-making

Objective: To elicit and compare preferences of patients and first-degree relatives and rheumatologists for preventive treatments for rheumatoid arthritis, understand the influence of shared decision-making, and predict the probability of uptake of the preventive treatments currently being studied.

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