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

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 pee...

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Autores principales: Vitturi, Bruno Kusznir, Rahmani, Alborz, Dini, Guglielmo, Montecucco, Alfredo, Debarbieri, Nicoletta, Bandiera, Paolo, Battaglia, Mario Alberto, Manacorda, Tommaso, Persechino, Benedetta, Buresti, Giuliana, Ponzio, Michela, Inglese, Matilde, Durando, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333213/
https://www.ncbi.nlm.nih.gov/pubmed/35901070
http://dx.doi.org/10.1371/journal.pone.0272156
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author Vitturi, Bruno Kusznir
Rahmani, Alborz
Dini, Guglielmo
Montecucco, Alfredo
Debarbieri, Nicoletta
Bandiera, Paolo
Battaglia, Mario Alberto
Manacorda, Tommaso
Persechino, Benedetta
Buresti, Giuliana
Ponzio, Michela
Inglese, Matilde
Durando, Paolo
author_facet Vitturi, Bruno Kusznir
Rahmani, Alborz
Dini, Guglielmo
Montecucco, Alfredo
Debarbieri, Nicoletta
Bandiera, Paolo
Battaglia, Mario Alberto
Manacorda, Tommaso
Persechino, Benedetta
Buresti, Giuliana
Ponzio, Michela
Inglese, Matilde
Durando, Paolo
author_sort Vitturi, Bruno Kusznir
collection PubMed
description 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; I(2) = 99.31) and 17.2% (95% CI 14.6–20.2; I(2) = 99.13), respectively. The prevalence of unemployment varied according to the year of publication (p < 0.001) and there was a statistically significant decrease in the prevalence of unemployment over time (p = 0.042). Regarding early retirement, only seven (31.8%) estimates obtained from studies that were published before 2010 were below the overall effect size in comparison to 27 (60.0%) estimates extracted from data published between 2010 and 2021 (p = 0.039). There was a significant difference in prevalence according to countries (p < 0.001). Psychiatric illness was an important clinical feature responsible for patients leaving the workforce in regions with a high MS prevalence. CONCLUSIONS: Unemployment and early retirement due to MS remain highly prevalent, despite a slight decline in the last decade. The prevalence of unemployment and early retirement varies globally.
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spelling pubmed-93332132022-07-29 Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis Vitturi, Bruno Kusznir Rahmani, Alborz Dini, Guglielmo Montecucco, Alfredo Debarbieri, Nicoletta Bandiera, Paolo Battaglia, Mario Alberto Manacorda, Tommaso Persechino, Benedetta Buresti, Giuliana Ponzio, Michela Inglese, Matilde Durando, Paolo PLoS One Research Article 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; I(2) = 99.31) and 17.2% (95% CI 14.6–20.2; I(2) = 99.13), respectively. The prevalence of unemployment varied according to the year of publication (p < 0.001) and there was a statistically significant decrease in the prevalence of unemployment over time (p = 0.042). Regarding early retirement, only seven (31.8%) estimates obtained from studies that were published before 2010 were below the overall effect size in comparison to 27 (60.0%) estimates extracted from data published between 2010 and 2021 (p = 0.039). There was a significant difference in prevalence according to countries (p < 0.001). Psychiatric illness was an important clinical feature responsible for patients leaving the workforce in regions with a high MS prevalence. CONCLUSIONS: Unemployment and early retirement due to MS remain highly prevalent, despite a slight decline in the last decade. The prevalence of unemployment and early retirement varies globally. Public Library of Science 2022-07-28 /pmc/articles/PMC9333213/ /pubmed/35901070 http://dx.doi.org/10.1371/journal.pone.0272156 Text en © 2022 Vitturi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vitturi, Bruno Kusznir
Rahmani, Alborz
Dini, Guglielmo
Montecucco, Alfredo
Debarbieri, Nicoletta
Bandiera, Paolo
Battaglia, Mario Alberto
Manacorda, Tommaso
Persechino, Benedetta
Buresti, Giuliana
Ponzio, Michela
Inglese, Matilde
Durando, Paolo
Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
title Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
title_full Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
title_fullStr Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
title_full_unstemmed Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
title_short Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
title_sort spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: a systematic review with meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333213/
https://www.ncbi.nlm.nih.gov/pubmed/35901070
http://dx.doi.org/10.1371/journal.pone.0272156
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