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Clinical course of multiple sclerosis and labour-force absenteeism: a longitudinal population-based study
- Source :
- European journal of neurology. 26(4)
- Publication Year :
- 2018
-
Abstract
- BACKGROUND AND PURPOSE Multiple sclerosis (MS) is a chronic neurological disease associated with substantial disability and morbidity. The objective of our study was to assess the long-term consequences of MS clinical course on sick leave and disability pension. METHODS Patients with relapsing-remitting MS (RRMS), secondary progressive MS (SPMS) and primary progressive MS (PPMS) were identified through the Swedish Multiple Sclerosis Registry. We calculated the mean annual prevalence and number of sick leave and disability pension days by clinical course, age and year pre- and post-diagnosis, and compared outcomes using Welch's t-tests and ANOVA models, mixed-effects regression and survival analysis. RESULTS The sample included 5371 patients (4568 with RRMS, 390 with SPMS and 413 with PPMS). The mean annual number of days with sick leave and disability pension ranged from 101 at 1 year after diagnosis to 164 after 11 years for patients with RRMS. Corresponding estimates for PPMS were 188 and 311 days. Higher levels of absenteeism were observed in patients with PPMS versus RRMS 7 years before diagnosis for sick leave (P
- Subjects :
- Adult
Employment
Male
medicine.medical_specialty
Multiple Sclerosis
Disease
03 medical and health sciences
0302 clinical medicine
Internal medicine
Absenteeism
Medicine
Humans
Disabled Persons
030212 general & internal medicine
Registries
Socioeconomic status
Survival analysis
Retrospective Studies
Sweden
business.industry
Multiple sclerosis
Clinical course
Middle Aged
medicine.disease
Disability pension
Neurology
Sick leave
Disease Progression
Female
Neurology (clinical)
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14681331
- Volume :
- 26
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- European journal of neurology
- Accession number :
- edsair.doi.dedup.....44ae2fba2d18631c8b1d71e74e0a4441