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Researchers examine why MSers avoid DMTs—it's complicated

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  • Researchers examine why MSers avoid DMTs—it's complicated

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

    Kyla A McKay, Helen Tremlett, Scott B Patten, John D Fisk, Charity Evans, Kirsten Fiest, Trudy Campbell, Ruth Ann Marrie, for the CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis (ECoMS)

    Abstract

    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.

    Dave Bexfield
    ActiveMSers
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