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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
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Adherence to therapeutic recommendation in relapsing-remitting multiple sclerosis patients
Justyna Chojdak-Łukasiewicz1, Aleksandra Kołtuniuk2, Ewa Sawicka3
1Department of Neurology, Wroclaw Medical University, Wrocław, Poland.
Frontiers in Immunology
|July 11, 2025
Summary
Multiple sclerosis patients show moderate adherence to disease-modifying therapies (DMTs). Fatigue significantly impacts treatment adherence, highlighting the need for personalized care strategies.
Area of Science:
- Neurology
- Clinical Pharmacy
- Patient-Reported Outcomes
Background:
- Adherence to disease-modifying therapies (DMTs) is critical for managing multiple sclerosis (MS).
- Understanding patient perspectives on adherence is key to improving disease management strategies.
Purpose of the Study:
- To assess DMT adherence levels in individuals with MS.
- To explore patient-related factors influencing treatment adherence.
Main Methods:
- A survey of 121 relapsing-remitting MS patients (90% female, mean age 34.0 years).
- Utilized validated scales: Adherence in Chronic Diseases scale (ACDS), Patient Health Questionnaire (PHQ-9), Modified Fatigue Impact Scale (MFIS), Perceived Stress Scale (PSS-10), and Acceptance of Illness Scale (AIS).
Main Results:
- Moderate adherence to DMTs was observed (mean ACDS score 24.0 ± 3.8).
- Fatigue, reported by 70% of patients, significantly correlated with lower adherence (ACDS: R=-0.260, p=0.004).
- Illness acceptance (AIS) correlated with fatigue, depression (PHQ-9), and stress (PSS-10), but not directly with adherence (ACDS).
Conclusions:
- MS patient adherence to DMTs is moderate and significantly influenced by fatigue.
- Assessing adherence and psychosocial factors is essential for developing personalized and effective MS treatment plans.
Keywords:
acceptance of illnessadherencemultiple sclerosisnon- adherencerelapsing-remitting multiple sclerosisMore Related Videos
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