This article reviews adherence to medication in multiple sclerosis (MS) patients from the perspective of nurse and social worker authors. It reviews data on patient adherence and offers practical, evidence-based strategies that health-care providers can use to facilitate adherence. In addition, it examines how emerging MS therapies may affect patient adherence and associated interventions. To promote adherence, interventions need to incorporate new and creative approaches. A proactive approach includes assessing patient needs and lifestyle before the start of medication and selecting the most appropriate disease-modifying therapy for each individual patient. Including multidisciplinary expertise and services in the treatment plan can be part of a comprehensive, holistic approach to helping patients and families. Optimization of health-care provider roles is likely to facilitate improved adherence.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883032PMC
http://dx.doi.org/10.7224/1537-2073.2011-038DOI Listing

Publication Analysis

Top Keywords

multiple sclerosis
8
patient adherence
8
adherence
7
facilitating medication
4
medication adherence
4
adherence patients
4
patients multiple
4
sclerosis article
4
article reviews
4
reviews adherence
4

Similar Publications

Multiple Sclerosis Care in Latin America.

Int J MS Care

December 2024

Clinica Colombia, Hospital San Jose, Bogotá, Colombia.

Latin America (LATAM) is a diverse region with more than 30 countries, each varying in cultural, economic, and social aspects. While multiple sclerosis (MS) care in LATAM has improved, there are still challenges to address. Epidemiologic studies have shown varying incidence rates of MS in the region, influenced by factors such as genetics, environmental conditions, and regional diversity.

View Article and Find Full Text PDF

Introduction: Tobacco use is as a major public health concern around the world, adversely impacting quality of life. Our study aims to analyze the trends in the burden of tobacco-related neurological disorders (ND) at global, regional, and national levels from 1990 to 2021, as well as potential future trends.

Methods: We performed a secondary dataset analysis for the assessment of mortality and disability-adjusted life years (DALYs) using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, to explore the burden of tobacco-related ND.

View Article and Find Full Text PDF

Yerba Mate () Ameliorates Experimental Autoimmune Encephalomyelitis by Modulating Regulatory T Cell Function.

Nutrients

March 2025

Lymphatic Vasculature and Inflammation Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3467987, Chile.

In Latin America, yerba mate (YM) is a popular infusion processed from the leaves and stems of . YM has been shown to have anti-inflammatory properties in several studies, although the effect of YM on multiple sclerosis (MS) remains elusive. The purpose of this study was to examine the effect of YM on the development of MS, by using the experimental autoimmune encephalomyelitis (EAE) mouse model while also evaluating its effect over infiltration of immune cells into the central nervous system (CNS) and regulatory T cell (Treg) function.

View Article and Find Full Text PDF

Multiple sclerosis (MS) is characterized by demyelination and neuroinflammation, with oxidative stress playing a pivotal role in lesion pathology. This study aimed to investigate the differential cellular responses to myelin debris under varying oxidative states. Myelin oxidation was induced using a Cu-peroxide system, confirmed by elevated TBARS levels and autofluorescence.

View Article and Find Full Text PDF

Complex diseases pose challenges in prediction due to their multifactorial and polygenic nature. This study employed machine learning (ML) to analyze genomic data from the UK Biobank, aiming to predict the genomic predisposition to complex diseases like multiple sclerosis (MS) and Alzheimer's disease (AD). We tested logistic regression (LR), ensemble tree methods, and deep learning models for this purpose.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!