4.3 Article

Determinants of non-adherence to disease-modifying therapies in multiple sclerosis: A cross-Canada prospective study

Journal

MULTIPLE SCLEROSIS JOURNAL
Volume 23, Issue 4, Pages 588-596

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/1352458516657440

Keywords

Multiple sclerosis; adherence; immunomodulatory therapy; glatiramer acetate; beta-interferon; health behavior

Funding

  1. Canadian Institutes of Health Research [CIHR CBG 101829]
  2. Rx&D Health Research Foundation
  3. MS Society of Canada

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Background: Poor adherence to the disease-modifying therapies (DMTs) for multiple sclerosis (MS) may attenuate clinical benefit. A better understanding of characteristics associated with non-adherence could improve outcomes. Objective: To evaluate characteristics associated with non-adherence to injectable DMTs. Methods: Consecutive patients from four Canadian MS Clinics were assessed at three time points over two years. Clinical and demographic information included self-reported DMT use, missed doses in the previous 30 days, health behaviors, and comorbidities. Non-adherence was defined as <80% of expected doses taken. We employed generalized estimating equations to examine characteristics associated with non-adherence at all time points with findings reported as adjusted odds ratios (OR). Results: In all, 485 participants reported use of an injectable DMT, of whom 107 (22.1%) were non-adherent over the study period. Non-adherence was associated with a lower Expanded Disability Status Scale score (0-2.5 vs 3.0-5.5, OR: 1.80; 95% confidence interval (CI): 1.06-3.04), disease duration (>= 5 vs < 5 years, OR: 2.23; 95% CI: 1.10-4.52), alcohol dependence (OR: 2.14; 95% CI: 1.23-3.75), and self-reported cognitive difficulties, measured by the Health Utilities Index-3 (OR: 1.55; 95% CI: 1.08-2.22). Conclusions: Nearly one-quarter of participants were non-adherent during the study. Alcohol dependence, perceived cognitive difficulties, longer disease duration, and mild disability status were associated with non-adherence. These characteristics may help healthcare professionals identify patients at greatest risk of poor adherence.

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