Associations Between Treatment Satisfaction, Medication Beliefs, and Adherence to Disease-Modifying Therapies in Patients with Multiple Sclerosis.

Background: Adherence to disease-modifying therapy (DMT) remains problematic for many patients with multiple sclerosis (MS). An improved understanding of factors affecting DMT adherence may inform effective interventions. This study examined associations between treatment satisfaction, medication beliefs, and DMT adherence. Methods: A survey was mailed in 2016 to 600 adult patients with relapsing-remitting MS taking an injectable or oral DMT. Patients were sampled from the North American Research Committee on Multiple Sclerosis (NARCOMS) Registry. The survey measured self-reported DMT adherence (doses taken divided by doses prescribed during previous 2-week period--adherence ≥0.80), DMT satisfaction using the Treatment Satisfaction Questionnaire for Medication version II, medication beliefs using the Beliefs About Medicines Questionnaire, and demographic and clinical covariates. Relationships between variables were examined using multivariate logistic regression. Results: Final analyses included 489 usable surveys. Mean ± SD participant age was 60.5 ± 8.3 years. Most respondents were white (93.8%), female (86.6%), taking an injectable DMT (66.9%), and adherent to DMT (92.8%). Significant predictors of DMT adherence were age (odds ratio [OR], 1.086; 95% CI, 1.020-1.158; P = .011), type of DMT (oral vs. injectable; OR, 23.350; 95% CI, 2.254-241.892; P = .008), and DMT experience (naive vs. experienced; OR, 2.831; 95% CI, 1.018-7.878; P = .046). Conclusions: In patients with MS sampled from a patient registry, treatment satisfaction and medication beliefs were not significantly associated with DMT adherence. Based on significant predictors, younger patients, patients taking injectable DMTs, and patients with previous experience with another DMT(s) are at higher risk for nonadherence. Future research is warranted to assess relationships between variables in more diverse MS populations. [ABSTRACT FROM AUTHOR]