What drives the decision to optimise biological treatment in children and youngsters with juvenile idiopathic arthritis? A discrete-choice experiment

Abstract

Objective: To analyse factors involved in the decision to optimise biologics in juvenile idiopathic arthritis.

Methods: A "discrete-choice" methodology was used. In a nominal group meeting, factors which may influence physicians' decisions to optimise biological dose were identified, together with decision nodes. 1000Minds® was used to create multiple fictitious clinical scenarios based on the factors identified, and to deploy surveys that were sent to a panel of experts. These experts decided for each item which of two clinical scenarios prompted them to optimise the dose of biologic. A conjoint analysis was carried out, and the partial-value functions and the weights of relative importance calculated.

Results: In the nominal group, three decision nodes were identified: (1) time to decide; (2) to maintain/reduce or prolong interval; (3) what drug to reduce. The factors elicited were different for each node and included patient and drug attributes. The presence of macrophage activation syndrome (MAS), systemic involvement, or subclinical inflammation made the decision easier (highest weights). The presence of joints of difficult control and year of debut influenced the decision in some but not all, and in different directions. Immunogenicity, adherence, and concomitant treatments were also aspects taken into account.

Conclusions: The decision to optimise the dose of biological therapy in children and youngster can be divided into several nodes, and the factors, both patient and therapy-related, leading to the decision can be detailed. These decisions taken by experts may be transported to practice, study designs, and guidelines.

Keywords: Artritis idiopática juvenil; Biologic therapies; Discrete choice experiment; Experimento de elección discreta; Juvenile idiopathic arthritis; Optimisation; Optimización; Terapias biológicas.