4.3 Article

Evaluation of adherence to treatment in patients with multiple sclerosis from Latin America

Journal

MULTIPLE SCLEROSIS AND RELATED DISORDERS
Volume 63, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.msard.2022.103915

Keywords

Multiple sclerosis; Adherence; Treatment; LATAM

Funding

  1. Latin American Committee for treatment and research in multiple sclerosis (LACTRIMS)

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This study evaluates the adherence to disease-modifying drugs in multiple sclerosis patients in Argentina and Ecuador. The overall adherence rate was 78.1%, with no significant difference between the two countries. Factors such as infusion therapy, shared decision-making, lower EDSS scores, and shorter treatment durations were identified as predictors of adherence.
Introduction and aim: Several factors have been associated with poor adherence to disease-modifying drugs (DMD). The aim of this study is to evaluate the adherence to DMD in people with multiple sclerosis (PwMS) in Argentina and Ecuador. Methods: A cross-sectional study was performed. The study was carried out between June 2020 and October 2020, and 303 PwMS treated with DMD were included. Patients undergoing immune reconstitution treatments were excluded. Two definitions of DMD adherence were previously determined. Adherence to MS treatments was assessed using the multiple sclerosis treatment adherence questionnaire (MS-TAQ). The logistic regression model was used to evaluate factors related to adherence, and p < 0.05 was considered significant. Result: The mean age at study entry for patients was 40.7 +/- 11.2 years, 207 (68.3%) were female, and the mean EDSS score was 2.2 +/- 1.9. The overall adherence in our sample was 78.1% (79.7% in Argentina and 76% Ecuador, p = 0.23). Patients using infusion therapies significantly more often belonged to the adherent group (p = 0.042). Sharing decision-making (OR = 3.4, 95% CI: 1.7-6.9, p = 0.01), lower EDSS (OR = 0.8, 95% IC: 0.6-0.9, p = 0.004), and lower treatment duration (OR = 0.8, 95% IC: 0.6-0.9, p = 0.001) were independent predictors of adherence in our multivariate model. Conclusion: We found a prevalence of non-adherence similar to that previously reported. Furthermore, new factors associated with lower adherence were identified.

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