2015
DOI: 10.1136/annrheumdis-2015-eular.3773
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OP0281 Rheumatologists Consider Patient Preferences and Costs when Choosing Treatments for Rheumatoid Arthritis (RA) Patients. A Cross-European Discrete Choice Experiment

Abstract: BackgroundEconomic considerations and patient preferences are increasingly important when choosing treatments. It is not known to what extent rheumatologists across Europe account for these factors when changing drug therapies in patients with active rheumatoid arthritis (RA).ObjectivesTo evaluate the extent to which rheumatologists across Europe consider costs, cost-effectiveness and patient preferences in addition to efficacy and safety in treatment decisions in RA.MethodsIn a discrete choice experiment, rhe… Show more

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Cited by 2 publications
(3 citation statements)
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“…Patients’ and rheumatologists’ assessments were not aligned, and the use of this tool is expected to drive constructive SDM. Overall, rheumatologists reported that they strongly considered patient preferences in treatment decisions, consistent with a previous discrete choice experiment by Hifinger et al 24 …”
Section: Discussionsupporting
confidence: 84%
See 1 more Smart Citation
“…Patients’ and rheumatologists’ assessments were not aligned, and the use of this tool is expected to drive constructive SDM. Overall, rheumatologists reported that they strongly considered patient preferences in treatment decisions, consistent with a previous discrete choice experiment by Hifinger et al 24 …”
Section: Discussionsupporting
confidence: 84%
“…Patients' and rheumatologists' assessments were not aligned, and the use of this tool is expected to drive constructive SDM. Overall, rheumatologists reported that they strongly considered patient preferences in treatment decisions, consistent with a previous discrete choice experiment by Hifinger et al 24 The quantitative survey was conducted in a large sample of patients using a conjoint analysis approach, which is a validated and extensively used approach to evaluate patient preferences for health care, with its use reported for SDM in patients with RA. 16,22 Hsiao et al used a conjoint analysis in patients with RA and provided early indication on the effectiveness of a value clarification tool in SDM by allowing patients to consider a set of preference phenotypes.…”
Section: Discussionsupporting
confidence: 64%
“…First, a random parameter logit model or a latent class model were chosen for analyzing the choice observations. A random parameter logit model assumes that parameters are randomly distributed in the population, and captures heterogeneity by estimating the standard deviation of the parameters’ distribution [ 5 , 39 , 40 , 41 ]. All attributes were categorical.…”
Section: Discussionmentioning
confidence: 99%