1. Systematic review of quantitative preference studies of treatments for rheumatoid arthritis among patients and at-risk populations
- Author
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Gwenda Simons, Joshua Caplan, Rachael L. DiSantostefano, Jorien Veldwijk, Matthias Englbrecht, Karin Schölin Bywall, Ulrik Kihlbom, Karim Raza, and Marie Falahee
- Subjects
Rheumatoid arthritis ,Treatment preferences ,Preventive treatment ,Attributes ,Systematic review ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Treatments used for rheumatoid arthritis (RA) are under investigation for their efficacy to prevent RA in at risk groups. It is therefore important to understand treatment preferences of those at risk. We systematically reviewed quantitative preference studies of drugs to treat, or prevent RA, to inform the design of further studies and trials of RA prevention. Stated preference studies for RA treatment or prevention were identified through a search of five databases. Study characteristics and results were extracted, and the relative importance of different types of treatment attributes was compared across populations. Twenty three studies were included 20 of RA treatments (18 of patients; 2 of the general public) and 3 prevention studies with first-degree relatives (FDRs). Benefits, risks, administration method and cost (when included) were important determinants of treatment choice. A benefit was more important than a risk attribute in half of the studies of RA treatment that included a benefit attribute and 2/3 studies of RA prevention. There was variability in the relative importance of attributes across the few prevention studies. In studies with non-patient participants, attributes describing confidence in treatment effectiveness/safety were more important determinants of choice than in studies with patients. Most preference studies relating to RA are of treatments for established RA. Few studies examine preferences for treatments to prevent RA. Given intense research focus on RA prevention, additional preference studies in this context are needed. Variation in treatment preferences across different populations is not well understood and direct comparisons are needed.
- Published
- 2022
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