Open AccessA Systematic Review of Discrete Choice Experiment Studies in Rheumatoid Arthritis Biological Medicines
Author(s) -
Saman Zartab,
Shekoufeh Nikfar,
Naeim Karimpour-Fard,
Ahmadreza Jamshidi,
Vida Varahrami,
Alireza Homayouni,
Abbas Kebriaeezadeh
Publication year - 2021
Publication title -
mediterranean journal of rheumatology
Language(s) - English
Resource type - Journals
ISSN - 2529-198X
DOI - 10.31138/mjr.32.2.104
Subject(s) - medicine , scopus , mixed logit , rheumatoid arthritis , medline , sample size determination , logit , conjoint analysis , meta analysis , logistic regression , computer science , statistics , mathematics , preference , machine learning , political science , law
Rheumatoid arthritis is a chronic disease with various clinical characteristics. The introduction of biological drugs has enhanced the efficacy and increased diversity of treatment options. Considering the patients' preferences in decision-making about treatment can improve their adherence. A discrete choice experiment is a type of conjoint method that can elicit preferences in more realistic scenarios. This article reviewed discrete choice experiment (DCE) studies to extract which attributes and levels were included in surveys. In addition, we focused on the process of designing surveys and the method that they used. Method: PubMed, EMBASE, Web of Science, Scopus, Ovid (Medline) and ProQuest were systematically searched in order to find studies that evaluated rheumatoid arthritis patients' preferences about biological medicines. Studies published in peer-reviewed journals between 1/1/1990 and 12/31/2019 were included. The included studies were analyzed using a narrative synthesis method and descriptive statistics.