Predictors of return to work for workers on sick leave with musculoskeletal disorders

a narrative review

Authors

  • Felipe Seiti Sekiya Universidade de São Paulo. Faculdade de Medicina
  • João Silvestre da Silva Júnior Faculdade de Medicina da Universidade de São Paulo

DOI:

https://doi.org/10.23925/1984-4840.2023v25a1

Keywords:

Musculoskeletal Diseases, Return to Work, Prognosis

Abstract

The Return to Work (RTW) is often a source of labor and social security disputes, mainly due to the difficulty in assessing work disability. Considering that Musculoskeletal Disorders (MSDs) are the leading cause of disability in Brazil and worldwide, understanding the predictors of RTW enables us to foresee potential conflicts and devise more effective strategies to reintegrate workers who have been absent due to these disorders. Therefore, the present study aims to identify predictors of RTW in workers on sick leave due to MSDs based on recent scientific publications. To achieve this, a review of articles published in MEDLINE between 2017 and 2022 was conducted, following the PICO strategy and the PRISMA flowchart. Nine original articles were included, and the predictors were categorized into four domains: Sociodemographic, Clinical, Psychosocial, and Occupational. The results obtained revealed that the RTW process is influenced by multiple individual and social factors, highlighting that multidisciplinary rehabilitation programs hold greater potential for facilitating return compared to isolated approaches. Considering that work sites and organization also play a role in musculoskeletal health, workplace interventions are crucial not only to enhance the chances of return but also to prevent further absences.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Author Biographies

Felipe Seiti Sekiya, Universidade de São Paulo. Faculdade de Medicina

Occupational Medicine Resident at University of São Paulo Medical School.

João Silvestre da Silva Júnior, Faculdade de Medicina da Universidade de São Paulo

Occupational Physician; PhD and Master in Public Health, with enfasis in Occupational Health. Professor of Occupational Medicine at University of São Paulo Medical School (Faculdade de Medicina da Universidade de São Paulo)(Brazil); and at Department of Medicine from São Camilo University Center (Centro Universitário São Camilo) (Brazil).

References

World Health Organization. Musculoskeletal conditions [Internet]. 2021 [acesso em: 26 maio 2022]. Disponível em: https://www.who.int/news-room/fact-sheets/detail/musculoskeletal-conditions.

Cieza A, Causey K, Kamenov K, Hanson SW, Chatterji S, Vos T. Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2021;396(10267):2006-17. doi: 10.1016/S0140-6736(20)32340-0.

Brasil. Lei nº 8.213, de 24 de julho de 1991. Lei de Benefícios da Previdência Social; Lei de Cotas para Pessoas com Deficiência [Internet]. [acesso em: 26 maio 2022]. Disponível em: https://www.planalto.gov.br/ccivil_03/leis/l8213cons.htm

Brasil. Ministério da Economia. Acompanhamento mensal do benefício auxílio-doença previdenciário concedido segundo os códigos da CID-10 - Janeiro a Dezembro de 2019 [Internet]. 14 fev. 2020 [acesso em: 26 maio 2022]. Disponível em: https://www.gov.br/trabalho-e-previdencia/pt-br/images/previdencia/2020/03/Acompanhamento-Mensala_Auxilio-Doenca-Previdenciarioa_2019a_completoa_CID-10.xlsx.

Brasil. Ministério da Previdência Social. Resolução INSS/DC nº. 10, de 23 de dezembro de 1999. Diário Oficial da União. Brasília, 20 abr. 2000; Seção 2.

Organização Mundial da Saúde. CIF: Classificação Internacional de Funcionalidade, Incapacidade e Saúde. 1ª ed. São Paulo: Editora da Universidade de São Paulo; 2020.

Santos CMC, Pimenta CAM, Nobre MR. The PICO strategy for the research question construction and evidence search. Rev Lat Am Enfermagem. 2007;15(3):508-11. doi: 10.1590/s0104-11692007000300023.

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:71. doi: 10.1136/bmj.n71.

Gjesdal S, Holmaas TH, Monstad K, Hetlevik Ø. New episodes of musculoskeletal conditions among employed people in Norway, sickness certification and return to work: a multiregister-based cohort study from primary care. BMJ Open. 2018;8(3):e017543. doi: 10.1136/bmjopen-2017-017543.

Kausto J, Pentti J, Oksanen T, Virta LJ, Virtanen M, Kivimäki M, et al. Length of sickness absence and sustained return-to-work in mental disorders and musculoskeletal diseases: a cohort study of public sector employees. Scand J Work Environ Health. 2017;43(4):358-66. doi: 10.5271/sjweh.3643.

Rashid M, Kristofferzon ML, Nilsson A. Predictors of return to work among women with long-term neck/shoulder and/or back pain: A 1-year prospective study. PLoS One. 2021;16(11):e0260490. doi: 10.1371/journal.pone.0260490.

Hara KW, Bjørngaard JH, Jacobsen HB, Borchgrevink PC, Johnsen R, Stiles TC, et al. Biopsychosocial predictors and trajectories of work participation after transdiagnostic occupational rehabilitation of participants with mental and somatic disorders: a cohort study. BMC Public Health. 2018;18(1):1014. doi: 10.1186/s12889-018-5803-0.

Devin CJ, Asher AL, Archer KR, Goyal A, Khan I, Kerezoudis P, et al. Impact of dominant symptom on 12-month patient-reported outcomes for patients undergoing lumbar spine surgery. Neurosurgery. 2020;87(5):1037-45. doi: 10.1093/neuros/nyaa240.

Coric D, Zigler J, Derman P, Braxton E, Situ A, Patel L. Predictors of long-term clinical outcomes in adult patients after lumbar total disc replacement: development and validation of a prediction model. J Neurosurg Spine. 2021:1-9. doi: 10.3171/2021.5.SPINE21192.

Dubert T, Girault C, Rozenblat M, Dorey J, Dubert-Khalifa H, Katz G. Impact of patient-surgeon relationship on patient's return to work. J Bone Joint Surg Am. 2019;101(15):1366-74. doi: 10.2106/JBJS.18.01049.

Bosman LC, Twisk JWR, Geraedts AS, Heymans MW. Development of prediction model for the prognosis of sick leave due to low back pain. J Occup Environ Med. 2019;61(12):1065-71. doi: 10.1097/JOM.0000000000001749.

Brendbekken R, Vaktskjold A, Harris A, Tangen T. Predictors of return-to-work in patients with chronic musculoskeletal pain: a randomized clinical trial. J Rehabil Med. 2018;50(2):193-9. doi: 10.2340/16501977-2296.

Cancelliere C, Donovan J, Stochkendahl MJ, Biscardi M, Ammendolia C, Myburgh C, et al. Factors affecting return to work after injury or illness: best evidence synthesis of systematic reviews. Chiropr Man Therap. 2016;24(1):32. doi: 10.1186/s12998-016-0113-z.

Cambridge University. Cambridge Business English Dictionary: blue-collar [Internet]. [acesso em: 22 nov. 2022]. Disponível em: https://dictionary.cambridge.org/dictionary/english/blue-collar

Cambridge University. Cambridge Business English Dictionary: white-collar [Internet]. [acesso em: 22 nov. 2022]. Disponível em: <https://dictionary.cambridge.org/dictionary/english/white-collar

Azevedo LM, Chiavegato LD, Carvalho CRF, Braz JR, Nunes Cabral CM, Padula RS. Are blue-collar workers more physically active than white-collar at work? Arch Environ Occup Health. 2021;76(6):338-347. doi: 10.1080/19338244.2020.1835796..

Gragnano A, Villotti P, Larivière C, Negrini A, Corbière M. A systematic search and review of questionnaires measuring individual psychosocial factors predicting return to work after musculoskeletal and common mental disorders. J Occup Rehabil. 2021;31(3):491-511. doi: 10.1007/s10926-020-09935-6.

American Psychiatric Association. Manual Diagnóstico e Estatístico de Transtornos Mentais. 5ª ed. Nascimento MIC et al., tradutores. Porto Alegre: Artmed; 2014.

Rysstad T, Grotle M, Aasdahl L, Dunn KM, Tveter AT. Identification and characterisation of trajectories of sickness absence due to musculoskeletal pain: a 1-year population-based study. J Occup Rehabil. 2023;33(2):277-87. doi: 10.1007/s10926-022-10070-7.

Costa BR, Vieira ER. Risk factors for work-related musculoskeletal disorders: A systematic review of recent longitudinal studies. Am J Ind Med. 2010;53(3):285-323. doi: 10.1002/ajim.20750.

Cullen KL, Irvin E, Collie A, Clay F, Gensby U, Jennings PA, et al. Effectiveness of workplace interventions in return-to-work for musculoskeletal, pain-related and mental health conditions: an update of the evidence and messages for practitioners. J Occup Rehabil. 2018;28(1):1-15. doi: 10.1007/s10926-016-9690-x.

Published

2023-12-18 — Updated on 2024-01-08

Versions

How to Cite

1.
Sekiya FS, Silva Júnior JS da. Predictors of return to work for workers on sick leave with musculoskeletal disorders: a narrative review. Rev. Fac. Ciênc. Méd. Sorocaba [Internet]. 2024Jan.8 [cited 2024May13];25(Fluxo contínuo):e63992. Available from: https://revistas.pucsp.br/index.php/RFCMS/article/view/63992