Literature DB >> 32353754

Diagnosis-specific sickness absence and disability pension before and after multiple sclerosis diagnosis: An 8-year nationwide longitudinal cohort study with matched references.

Chantelle Murley1, Korinna Karampampa2, Kristina Alexanderson2, Jan Hillert3, Emilie Friberg2.   

Abstract

BACKGROUND: Multiple sclerosis (MS) typically onsets when of working age and may reduce work capacity. Previous studies have examined the risk of sickness absence (SA) and disability pension (DP) among MS patients, however, limited knowledge is available on whether MS patients have an excess risk for SA/DP when compared with the general population in Sweden. Moreover, no information exists on the actual diagnoses for SA and DP among MS patients and whether the patterns of SA/DP diagnoses differs to those without MS. We aimed to explore diagnosis-specific SA and DP among working-aged MS patients both before and after MS diagnosis, in comparison to the levels and distributions of SA and DP diagnoses of a matched reference group and analyze the risk of diagnosis-specific DP.
MATERIALS AND METHODS: Longitudinal Swedish register data of the 2567 MS patients diagnosed with MS in 2009-2012 when aged 25-59 and 10,268 population-based matched references (matched on sex, age, educational level, type of living area, and country of birth) were analysed regarding annual diagnosis-specific SA and DP in the four years before and four years after MS diagnosis. Annual differences in the mean numbers of SA and/or DP net days were calculated with 95% confidence intervals (CI). Hazard ratios (HR) with 95% CI from Cox proportional hazard models were used to compare risks for new all-cause and diagnosis-specific DP after MS diagnosis among the MS patients and references.
RESULTS: The mean SA/DP net days/year increased among MS patients over follow-up, due to both MS and other diagnoses. During follow-up, around 50% of MS patients had some SA/DP compared to 20% of references. The mean days of SA/DP among the MS patients compared to references increased from 10.3 more days (95% CI: 6.6-14.2) four years prior to MS diagnosis to 68.9 days (62.8-75.1) 4 years after MS diagnosis. Although most new DP among MS patients were due to MS, 15% were not. The adjusted HR for all-cause DP was 23.1 (18.1-29.5). MS patients also had higher risks of new DP due to all diagnoses except MS (HR 3.4; 2.4-4.8), musculoskeletal (HR 2.6; 1.1-6.0) and mental (HR 2.0; 1.1-3.6) diagnoses compared with references.
CONCLUSION: MS patients had higher levels of SA/DP days/year than the references, already 4 years before the MS diagnosis, and increasingly so thereafter. The excess of SA/DP prior to MS diagnosis could be related to MS onset. However, the excess of SA/DP days were not all due to MS diagnoses, even after being diagnosed with MS. MS patients had a higher risk of having a new DP after being diagnosed with MS in total, but also for diagnoses other than MS.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Big data; Diagnoses; Disability pension; Multiple sclerosis; Sick leave; Social security

Year:  2020        PMID: 32353754     DOI: 10.1016/j.msard.2020.102077

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  6 in total

1.  Occupational outcomes of people with multiple sclerosis: a scoping review.

Authors:  Bruno Kusznir Vitturi; Alborz Rahmani; Guglielmo Dini; Alfredo Montecucco; Nicoletta Debarbieri; Elvira Sbragia; Paolo Bandiera; Michela Ponzio; Mario Alberto Battaglia; Tommaso Manacorda; Benedetta Persechino; Giuliana Buresti; Matilde Inglese; Paolo Durando
Journal:  BMJ Open       Date:  2022-07-01       Impact factor: 3.006

2.  Trajectories of sickness absence and disability pension days among people with multiple sclerosis by type of occupation.

Authors:  Astrid R Bosma; Chantelle Murley; Jenny Aspling; Jan Hillert; Frederieke G Schaafsma; Johannes R Anema; Cécile R L Boot; Kristina Alexanderson; Alejandra Machado; Emilie Friberg
Journal:  Mult Scler       Date:  2021-10-06       Impact factor: 5.855

3.  Early vs. late treatment initiation in multiple sclerosis and its impact on cost of illness: A register-based prospective cohort study in Sweden.

Authors:  Korinna Karampampa; Hanna Gyllensten; Chantelle Murley; Kristina Alexanderson; Andrius Kavaliunas; Tomas Olsson; Ali Manouchehrinia; Jan Hillert; Emilie Friberg
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-04-24

4.  Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis.

Authors:  Bruno Kusznir Vitturi; Alborz Rahmani; Guglielmo Dini; Alfredo Montecucco; Nicoletta Debarbieri; Paolo Bandiera; Mario Alberto Battaglia; Tommaso Manacorda; Benedetta Persechino; Giuliana Buresti; Michela Ponzio; Matilde Inglese; Paolo Durando
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

5.  Self-employment, sickness absence, and disability pension in multiple sclerosis.

Authors:  Alejandra Machado; Chantelle Murley; Jan Hillert; Kristina Alexanderson; Emilie Friberg
Journal:  Acta Neurol Scand       Date:  2022-07-04       Impact factor: 3.915

6.  Cost-of-Illness Progression Before and After Diagnosis of Multiple Sclerosis: A Nationwide Register-Based Cohort Study in Sweden of People Newly Diagnosed with Multiple Sclerosis and a Population-Based Matched Reference Group.

Authors:  Chantelle Murley; Petter Tinghög; Kristina Alexanderson; Jan Hillert; Emilie Friberg; Korinna Karampampa
Journal:  Pharmacoeconomics       Date:  2021-05-10       Impact factor: 4.981

  6 in total

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