Literature DB >> 31809751

Risk Factors for Suboptimal Medication Adherence in Persons With Multiple Sclerosis: Development of an Electronic Health Record-Based Explanatory Model for Disease-Modifying Therapy Use.

Elizabeth S Gromisch1, Aaron P Turner2, Steven L Leipertz3, John Beauvais4, Jodie K Haselkorn5.   

Abstract

OBJECTIVE: To determine which factors are associated with suboptimal disease-modifying therapy (DMT) adherence and to develop an explanatory model that could be used to identify individuals at risk and potentially inform interventions.
DESIGN: Cross-sectional cohort study using electronic health records.
SETTING: Veterans Health Administration (VA). PARTICIPANTS: Veterans with multiple sclerosis (MS) (N=2939; 79.69% men) who received care through the VA and were included in the VA MS Center of Excellence Data Repository.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Suboptimal DMT adherence (<80%), demographics, co-occurring conditions, and health care use.
RESULTS: Nearly 31% of participants had suboptimal adherence. Flags for suboptimal adherence included >20% missed appointments (odds ratio [OR], 3.78; 95% CI, 2.45-2.82), traumatic brain injuries (OR, 1.55; 95% CI, 1.12-2.14), age younger than 59 years (OR, 1.47; 95% CI, 1.23-1.74), ≥1 emergency department visits (OR, 1.40; 95% CI, 1.18-1.67), mood disorders (ie, depressive and bipolar disorders) (OR, 1.40; 95% CI, 1.18-1.66), and service connection (OR, 1.22; 95% CI, 1.01-1.47). Hyperlipidemia (OR, 0.77; 95% CI, 0.65-0.92) and being issued a wheelchair (OR, 0.83; 95% CI, 0.70-1.00) were associated with lower risk.
CONCLUSIONS: Suboptimal adherence to DMTs continues to be an issue. Interventions that focus on person-level barriers should be urgently explored to increase adherence and improve self-management abilities. Published by Elsevier Inc.

Entities:  

Keywords:  Appointments and schedules; Electronic health records; Medication adherence; Multiple sclerosis; Rehabilitation; Risk factors

Mesh:

Substances:

Year:  2019        PMID: 31809751     DOI: 10.1016/j.apmr.2019.11.005

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  2 in total

1.  The Multiple Sclerosis Centers of Excellence: A Model of Excellence in the VA.

Authors:  Michelle H Cameron; Jodie K Haselkorn; Mitchell T Wallin
Journal:  Fed Pract       Date:  2020-04

2.  Predictors of adherence and persistence to disease-modifying therapies in Multiple Sclerosis.

Authors:  Gisela Zanga; Estefania Drzewiscki; Paula Tagliani; Maximiliano Smietniansky; Maria M Esnaola Y Rojas; Diego Caruso
Journal:  Ther Adv Neurol Disord       Date:  2021-10-05       Impact factor: 6.570

  2 in total

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