Given the increasing number of available treatments for rheumatoid arthritis (RA) with varying efficacy and safety profiles, it is critical to understand the level of trade-offs that patients are willing to make between benefits and risks. Adult patients with moderate to severe RA were invited to participate in a discrete choice experiment that solicited their preferences for hypothetical RA treatments. Each participant was presented with 14 choice cards asking about their preference between two hypothetical RA treatments with varying levels of efficacy, adverse events, and process-related attributes. A multivariable logistic regression model assessed the association between the attributes and the patient's decision and risk-increases were calculated. 510 eligible patients with moderate to severe RA completed the study. The average age of the participants was 56.4 years, 64.7% were female, and 45.1% received biologic agents. To achieve a 50% improvement in physical function, patients were willing to accept risk-increases of 91.1, 4.7, and 18.4% for abnormal laboratory results, cancer, and serious infection, respectively. Similarly, to achieve a 50% reduction in RA-related pain, patients were willing to accept risk-increases of 70.6, 3.7, and 14.2% for each AE. Moreover, patients were willing to trade risk-increases of 42.0, 2.2, and 8.5% for each AE to obtain a 50% reduction in the number of swollen joints. Patients with moderate to severe RA are willing to accept increased treatment risks to achieve improved physical function and disease control. These attributes are helpful to clinicians to make informed treatment choices.
Keywords: Benefit-risk; Discrete choice experiment; Patient preference; Rheumatoid arthritis; Treatment options.