Skip to main content

Advertisement

Log in

Work Outcomes in Patients Who Stay at Work Despite Musculoskeletal Pain

  • Published:
Journal of Occupational Rehabilitation Aims and scope Submit manuscript

Abstract

Purpose To assess self-reported work impacts and associations between psychosocial risk factors and work impairment amongst workers seeking care for musculoskeletal pain while continuing to work. Methods Patients were recruited from Musculoskeletal Assessment Clinics at 5 hospitals across Ireland. Participants completed questionnaires including assessments of work impairment (Work Productivity and Activity Impairment Questionnaire), work ability (single item from the Work Ability Index) and work performance (Work Role Functioning Questionnaire; WRFQ). Logistic and hierarchical regressions were conducted to analyse the relation between psychosocial variables and work outcomes. Results 155 participants (53.5% female; mean age = 46.50 years) who were working at the time of assessment completed the questionnaires. Absenteeism was low, yet 62.6% were classified as functioning poorly according to the WRFQ; 52.3% reported having poor work ability. Logistic regression analyses indicated that higher work role functioning was associated with higher pain self-efficacy (OR 1.51); better work ability was associated with older age (OR 1.063) and lower functional restriction (OR 0.93); greater absenteeism was associated with lower pain self-efficacy (OR 0.65) and poorer work expectancy (OR 1.18). Multiple regression analysis indicated that greater presenteeism was associated with higher pain intensity (β = 0.259) and lower pain self-efficacy (β = − 0.385). Conclusions While individuals continue to work with musculoskeletal pain, their work performance can be adversely affected. Interventions that target mutable factors, such as pain self-efficacy, may help reduce the likelihood of work impairment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bevan S. Reducing temporary work absence through early intervention: the case of MSDs in the EU. London: The Work Foundation; 2013.

    Google Scholar 

  2. Laisné F, Lecomte C, Corbière M. Biopsychosocial predictors of prognosis in musculoskeletal disorders: a systematic review of the literature (corrected and republished). Disabil Rehabil. 2012;34(22):1912–1941.

    Article  PubMed  Google Scholar 

  3. Schultz IZ, Stowell AW, Feuerstein M, Gatchel RJ. Models of return to work for musculoskeletal disorders. J Occup Rehabil. 2007;17(2):327–352.

    Article  PubMed  Google Scholar 

  4. Buer N, Linton SJ. Fear-avoidance beliefs and catastrophizing: occurrence and risk factor in back pain and ADL in the general population. Pain 2002;99(3):485–491.

    Article  PubMed  Google Scholar 

  5. Pincus TBA, Vogel S, Field AP. A systematic review of psychological factors as predictors of chronicity/disability in prospective cohorts of low back pain. Spine 2002;27(5):E109–E120.

    Article  PubMed  Google Scholar 

  6. de Vries HJ, Reneman MF, Groothoff JW, Geertzen JHB, Brouwer S. Workers who stay at work despite chronic nonspecific musculoskeletal pain: do they differ from workers with sick leave? J Occup Rehabil. 2012;22(4):489–502.

    Article  PubMed  PubMed Central  Google Scholar 

  7. van Vilsteren M, van Oostrom SH, de Vet HCW, Franche RL, Boot CRL, Anema JR. Workplace interventions to prevent work disability in workers on sick leave. Cochrane Database Syst Rev. 2015;5(10):CD006955. https://doi.org/10.1002/14651858.CD006955.pub3.

    Article  Google Scholar 

  8. Cochrane A, Higgins NM, FitzGerald O, Gallagher P, Ashton J, Corcoran O, et al. Early interventions to promote work participation in people with regional musculoskeletal pain: a systematic review and meta-analysis. Clin Rehabil. 2017;31(11):1466–1481.

    Article  PubMed  Google Scholar 

  9. Sullivan MJ, Feuerstein M, Gatchel R, Linton SJ, Pransky G. Integrating psychosocial and behavioral interventions to achieve optimal rehabilitation outcomes. J Occup Rehabil. 2005;15(4):475–489.

    Article  PubMed  Google Scholar 

  10. Gauthier N, Sullivan MJL, Adams H, Stanish WD, Thibault P. Investigating risk factors for chronicity: the importance of distinguishing between return-to-work status and self-report measures of disability. J Occup Environ Med. 2006;48(3):312–318.

    Article  PubMed  Google Scholar 

  11. Karoly P, Ruehlman LS, Okun MA. Psychosocial and demographic correlates of employment vs disability status in a national community sample of adults with chronic pain: toward a psychology of pain presenteeism. Pain Med. 2013;14(11):1698–1707.

    Article  PubMed  Google Scholar 

  12. Pensola T, Haukka E, Kaila-Kangas L, Neupane S, Leino-Arjas P. Good work ability despite multisite musculoskeletal pain? A study among occupationally active Finns. Scand J Public Health 2016;44(3):300–310.

    Article  PubMed  Google Scholar 

  13. De Vries HJ, Reneman MF, Groothoff JW, Geertzen JHB, Brouwer S. Factors promoting staying at work in people with chronic nonspecific musculoskeletal pain: a systematic review. Disabil Rehabil. 2012;34(6):443–458.

    Article  PubMed  Google Scholar 

  14. Denison E, Åsenlöf P, Sandborgh M, Lindberg P. Musculoskeletal pain in primary health care: subgroups based on pain intensity, disability, self-efficacy, and fear-avoidance variables. J Pain 2007;8(1):67–74.

    Article  PubMed  Google Scholar 

  15. Coole C, Watson PJ, Drummond A. Staying at work with back pain: patients’ experiences of work-related help received from GPs and other clinicians. A qualitative study. BMC Musculoskelet Disord. 2010;11:190. https://doi.org/10.1186/1471-2474-11-190.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Buck R, Wynne-Jones G, Varnava A, Main CJ, Phillips CJ. Working with musculoskeletal pain. Rev Pain 2009;3(1):6–10.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gilworth G, Chamberlain MA, Harvey A, Woodhouse A, Smith J, Smyth MG, et al. Development of a work instability scale for rheumatoid arthritis. Arthritis Care Res. 2003;49(3):349–354.

    Article  Google Scholar 

  18. Gilworth G, Bhakta B, Eyres S, Carey A, Anne Chamberlain M, Tennant A. Keeping nurses working: development and psychometric testing of the Nurse-Work Instability Scale (Nurse-WIS). J Adv Nurs. 2007;57(5):543–551.

    Article  PubMed  Google Scholar 

  19. Koolhaas W, van der Klink JJL, de Boer MR, Groothoff JW, Brouwer S. Chronic health conditions and work ability in the ageing workforce: the impact of work conditions, psychosocial factors and perceived health. Int Arch Occup Environ Health 2014;87(4):433–443.

    PubMed  Google Scholar 

  20. McDonald M, DiBonaventura Md, Ullman S. Musculoskeletal pain in the workforce: the effects of back, arthritis, and fibromyalgia pain on quality of life and work productivity. J Occup Environ Med. 2011;53(7):765–770.

    Article  PubMed  Google Scholar 

  21. Beaton D, Bombardier C, Escorpizo R, Zhang W, Lacaille D, Boonen A, et al. Measuring worker productivity: frameworks and measures. J Rheumatol. 2009;36(9):2100–2109.

    Article  PubMed  Google Scholar 

  22. Macfarlane GJ, Pallewatte N, Paudyal P, Blyth FM, Coggon D, Crombez G, et al. Evaluation of work-related psychosocial factors and regional musculoskeletal pain: results from a EULAR Task Force. Ann Rheum Dis. 2009;68(6):885–891.

    Article  PubMed  CAS  Google Scholar 

  23. Ashton J, Breen R, Callanan E, FitzGerald O. Patient Satisfaction with Advanced Practice Physiotherapists (APPs) working in an extended role in Rheumatology and Orthopaedic clinics. Irish Rheumatology Health Professionals Society Conference, Winter 20132013.

  24. Linton SJ, Boersma K. Early identification of patients at risk of developing a persistent back problem: the predictive validity of the Örebro Musculoskeletal Pain Questionnaire. Clin J Pain 2003;19(2):80–86.

    Article  PubMed  Google Scholar 

  25. Westman A, Linton SJ, Öhrvik J, Wahlén P, Leppert J. Do psychosocial factors predict disability and health at a 3-year follow-up for patients with non-acute musculoskeletal pain? A validation of the Örebro Musculoskeletal Pain Screening Questionnaire. Eur J Pain 2008;12(5):641–649.

    Article  PubMed  CAS  Google Scholar 

  26. Margison DA, French DJ. Predicting treatment failure in the subacute injury phase using the Örebro Musculoskeletal Pain Questionnaire: an observational prospective study in a workers’ compensation system. J Occup Environ Med. 2007;49(1):59–67.

    Article  PubMed  Google Scholar 

  27. Bergbom S, Boersma K, Linton SJ. Both early and late changes in psychological variables relate to treatment outcome for musculoskeletal pain patients at risk for disability. Behav Res Ther. 2012;50(11):726–734.

    Article  PubMed  Google Scholar 

  28. Bergström G, Hagberg J, Busch H, Jensen I, Björklund C. Prediction of sickness absenteeism, disability pension and sickness presenteeism among employees with back pain. J Occup Rehabil. 2014;24(2):278–286.

    Article  PubMed  Google Scholar 

  29. Hurley DA, Dusoir TE, McDonough SM, Moore AP, Baxter GD. How effective is the acute low back pain screening questionnaire for predicting 1-year follow-up in patients with low back pain? Clin J Pain. 2001;17(3):256–263.

    Article  PubMed  CAS  Google Scholar 

  30. Sullivan MJL, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995;7(4):524–532.

    Article  Google Scholar 

  31. Nicholas MK, McGuire BE, Asghari A. A 2-item short form of the Pain Self-Efficacy Questionnaire: development and psychometric evaluation of PSEQ-2. J Pain 2015;16(2):153–163.

    Article  PubMed  Google Scholar 

  32. Tillett W, Shaddick G, Askari A, Cooper A, Creamer P, Clunie G, et al. Factors influencing work disability in psoriatic arthritis: first results from a large UK multicentre study. Rheumatology 2015;54(1):157–162.

    Article  PubMed  Google Scholar 

  33. Ilmarinen J. The Work Ability Index (WAI). Occup Med. 2007;57(2):160. https://doi.org/10.1093/occmed/kqm008.

    Article  Google Scholar 

  34. Ahlstrom L, Grimby-Ekman A, Hagberg M, Dellve L. The work ability index and single-item question: associations with sick leave, symptoms, and health—a prospective study of women on long-term sick leave. Scand J Work Environ Health 2010;36(5):404–412.

    Article  PubMed  Google Scholar 

  35. Abma FI, Amick BC, van der Klink JJL, Bültmann U. Prognostic factors for successful work functioning in the general working population. J Occup Rehabil. 2013;23(2):162–169.

    Article  PubMed  Google Scholar 

  36. de Vries HJ, Reneman MF, Groothoff JW, Geertzen JHB, Brouwer S. Self-reported work ability and work performance in workers with chronic nonspecific musculoskeletal pain. J Occup Rehabil. 2013;23(1):1–10.

    Article  PubMed  Google Scholar 

  37. Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics 1993;4(5):353–365.

    Article  PubMed  CAS  Google Scholar 

  38. Abma FI, van der Klink JJL, Bültmann U. The work role functioning questionnaire 2.0 (Dutch version): examination of its reliability, validity and responsiveness in the general working population. J Occup Rehabil. 2013;23(1):135–147.

    Article  PubMed  Google Scholar 

  39. Pohjonen T. Perceived work ability of home care workers in relation to individual and work-related factors in different age groups. Occup Med. 2001;51(3):209–217.

    Article  CAS  Google Scholar 

  40. Monteiro MS, Ilmarinen J, Filho HRC. Work ability of workers in different age groups in a public health institution in Brazil. Int J Occup Saf Ergon. 2006;12(4):417–427.

    Article  PubMed  Google Scholar 

  41. Kooij DTAM., De Lange AH, Jansen PGW, Kanfer R, Dikkers JSE. Age and work-related motives: results of a meta-analysis. J Organ Behav. 2011;32(2):197–225.

    Article  Google Scholar 

  42. DiBonaventura MD, Gupta S, McDonald M, Sadosky A, Pettitt D, Silverman S. Impact of self-rated osteoarthritis severity in an employed population: cross-sectional analysis of data from the national health and wellness survey. Health Qual Life Outcomes 2012;10:30. https://doi.org/10.1186/1477-7525-10-30.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Peeters MCW, van Emmerik H. An introduction to the work and well-being of older workers: from managing threats to creating opportunities. J Manag Psychol. 2008;23(4):353–363.

    Article  Google Scholar 

  44. Zheltoukhova K, O’Dea L, Bevan S. Taking the strain: the impact of musculoskeletal disorders on work and home life. London: The Work Foundation; 2012.

    Google Scholar 

  45. Wideman TH, Sullivan MJL. Differential predictors of the long-term levels of pain intensity, work disability, healthcare use, and medication use in a sample of workers’ compensation claimants. Pain 2011;152(2):376–383.

    Article  PubMed  Google Scholar 

  46. Du S, Yuan C, Xiao X, Chu J, Qiu Y, Qian H. Self-management programs for chronic musculoskeletal pain conditions: a systematic review and meta-analysis. Patient Educ Couns. 2011;85(3):e299–e310.

    Article  PubMed  Google Scholar 

  47. Varekamp I, Heutink A, Landman S, Koning CEM, de Vries G, van Dijk FJH. Facilitating empowerment in employees with chronic disease: qualitative analysis of the process of change. J Occup Rehabil. 2009;19(4):398–408.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Evanoff B, Dale AM, Descatha A. A conceptual model on musculoskeletal disorders for occupational health practitioners. Int J Occup Med Environ Health 2014;27(1):145–148.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Zheltoukhova K. Musculoskeletal Disorders and Work: results of a survey of individuals living with musculoskeletal disorders in six European countries. London: The Work Foundation; 2013.

    Google Scholar 

  50. Bevan S, Quadrello T, McGee R, Mahdon M, Vavrovsky A. Fit for work? Musculoskeletal disorders in the European workforce. London: The Work Foundation; 2009.

    Google Scholar 

  51. Shaw WS, Linton SJ, Pransky G. Reducing sickness absence from work due to low back pain: how well do intervention strategies match modifiable risk factors?. J Occup Rehabil. 2006;16(4):591–605.

    Article  PubMed  Google Scholar 

  52. Oakman J, Kinsman N, Briggs AM. Working with persistent pain: an exploration of strategies utilised to stay productive at work. J Occup Rehabil. 2017;27(1):4–14.

    Article  PubMed  Google Scholar 

  53. Howard KJ, Mayer TG, Gatchel RJ. Effects of presenteeism in chronic occupational musculoskeletal disorders: stay at work is validated. J Occup Environ Med. 2009;51(6):724–731.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Funded by the Health Research Board [RCQPS-2014-2]. We wish to acknowledge and extend our thanks to the CSPs who collaborated in recruitment and data collection.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andy Cochrane.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and participating hospital research committees and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cochrane, A., Higgins, N.M., Rothwell, C. et al. Work Outcomes in Patients Who Stay at Work Despite Musculoskeletal Pain. J Occup Rehabil 28, 559–567 (2018). https://doi.org/10.1007/s10926-017-9748-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10926-017-9748-4

Keywords

Navigation