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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

Author

Listed:
  • 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

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

Suggested Citation

  • Bruno Kusznir Vitturi & Alborz Rahmani & Guglielmo Dini & Alfredo Montecucco & Nicoletta Debarbieri & Paolo Bandiera & Mario Alberto Battaglia & Tommaso Manacorda & Benedetta Persechino & Giuliana Bur, 2022. "Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-25, July.
  • Handle: RePEc:plo:pone00:0272156
    DOI: 10.1371/journal.pone.0272156
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    References listed on IDEAS

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    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. repec:plo:pone00:0197759 is not listed on IDEAS
    3. Gisela Kobelt & Vanessa Teich & Marcela Cavalcanti & Ana Maria Canzonieri, 2019. "Burden and cost of multiple sclerosis in Brazil," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-12, January.
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