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

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 and Paolo Durando

PLOS ONE, 2022, vol. 17, issue 7, 1-25

Abstract: Background: We aimed to summarise the prevalence of unemployment and early retirement among people with MS and analyze data according to a spatio-temporal perspective. Methods: We undertook a systematic search of PubMed/MEDLINE, Scopus, SciVerse ScienceDirect, and Web of Science. We included any peer-reviewed original article reporting the prevalence of unemployment and early retirement in the working-age population with MS. We excluded articles off-topic, with other study designs, whose study sample were unlikely to be representative of the MS population and in case of unavailability of the full text or essential information. A random-effects meta-analysis was used to measure overall prevalence estimates of unemployment and early retirement. We used meta-regression and subgroup analysis to evaluate potential moderators of prevalence estimates and the leave-one-out method for sensitivity analyses. Results: Our research identified 153 studies across 29 countries encompassing 188436 subjects with MS. The pooled overall effect size for unemployment and early retirement was 35.6% (95% CI 32.8–38.4; I2 = 99.31) and 17.2% (95% CI 14.6–20.2; I2 = 99.13), respectively. The prevalence of unemployment varied according to the year of publication (p

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0272156

DOI: 10.1371/journal.pone.0272156

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