Advertisement

Financial Impact and Causes of Chronic MSD Cases in Malaysia Based on SOCSO Claims Record

  • Raemy Md ZeinEmail author
  • Jafri Mohd Rohani
  • Norsheila Zainal Abidin
  • Ismail Abdul Rahman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 820)

Abstract

Musculoskeletal disorder (MSDs) are major occupational health issues among the private sector and government. This paper analyzed total direct cost being paid by the Social Security Organization of Malaysia (SOCSO) to the Malaysian workers due to musculoskeletal disease. Total direct cost consists of compensation cost, return to work and rehabilitation cost, and medical cost. The objectives of this study are (1) to determine the total direct costs incurred as a result of cases of chronic musculoskeletal injuries approved by SOCSO from 2010–2014. (2) To examine the age category imposed for the total average cost on the highest MSDs claims for the four categories setting. This study has utilize data provided by Social Security Organization of Malaysia (SOCSO) on occupational diseases and adopt top-down approach. The claims data is limited to MSD reported between 2009 until 2014. A total of 416 claims related to MSD has been analyzed. All the category recorded the highest total direct cost for types of industry, types of injury, causes of accident and type of body part. Then age claimant is identified from total average cost earns from the highest total direct cost for four categories. Manufacturing industry, strenuous movement, sprain and strain and back are recorded as high total direct cost with bear cost of RM 5,181,282.34 (n = 185), RM 7,088,839.51 (n = 264), RM 8,753,975.13 (n = 335), RM 5,526,590.69 (n = 209) respectively. Then the age 35–44 is recorded as the high total average cost for this four parameter. This study will provide basis for future studies and intervention on MSD related injuries in working environment in Malaysia.

Keywords

Musculoskeletal disorder Direct cost Type of injury Cause of accident Body part location 

Notes

Acknowledgement

The authors would like to acknowledge the financial support from National Institute of Occupational Safety and Health Malaysia (NIOSH) and occupational diseases claims data from SOCSO.

References

  1. 1.
    Abas AB, Said AR, Mohammed MA, Sathiakumar N (2008) Occupational disease among non-governmental employees in Malaysia: 2002–2006. Int J Occup Environ Health 14:263–271CrossRefGoogle Scholar
  2. 2.
    Abbas M (2015) Trend of occupational injuries/diseases in Pakistan: index value analysis of injured employed persons from 2001–02 to 2012–13. Saf Health Work 6:218–226Google Scholar
  3. 3.
    Silverstein BA, Viikari-Juntura E, Kalat J (2002) Use of a prevention index to identify industries at high risk for work-related musculoskeletal disorders of the neck, back, and upper extremity in Washington State, 1990–1998. Am J Ind Med 41:149–169CrossRefGoogle Scholar
  4. 4.
    Baldwin ML (2004) Reducing the costs of work-related musculoskeletal disorders: targeting strategies to chronic disability cases. J Electromyogr Kinesiol 14:33–41Google Scholar
  5. 5.
    Bhattacharya A (2014) Costs of occupational musculoskeletal disorders (MSDs) in the United States. Int J Ind Ergonomics 44:448–454Google Scholar
  6. 6.
    Bultmann U, Franche RL, Hogg-Johnson S, Cote P, Lee H, Severin C, Vidmar M, Carnide N (2007) Health status, work limitations, and return-to-work trajectories in injured workers with musculoskeletal disorders. Qual Life Res 16:1167–1178CrossRefGoogle Scholar
  7. 7.
    Connelly LB, Woolf A, Brooks P (2006) Cost-effectiveness of interventions for musculoskeletal conditions. In: Disease control priorities in developing countries, pp 963–980Google Scholar
  8. 8.
    Davis K, Dunning K, Jewell G, Lockey J (2014) Cost and disability trends of work-related musculoskeletal disorders in Ohio. Occup Med 64:608–615CrossRefGoogle Scholar
  9. 9.
    Dunning KK, Davis KG, Cook C, Kotowski SE, Hamrick C, Jewell G, Lockey J (2010) Costs by industry and diagnosis among musculoskeletal claims in a state workers compensation system: 1999–2004. Am J Ind Med 53:276–284Google Scholar
  10. 10.
    Escorpizo R (2008) Understanding work productivity and its application to work-related musculoskeletal disorders. Int J Ind Ergon 38:291–297Google Scholar
  11. 11.
    McCurdy SA, Schenker MB, Lassiter DV (1980) Occupational injury and illness in the semiconductor manufacturing industry. Am J Ind Med 15:499–510Google Scholar
  12. 12.
    Middlesworth M (2016) Financial burden of musculoskeletal disorders (MSDs). http://ergo-plus.com/financial-burden-of-musculoskeletal-disorders-msd/
  13. 13.
    Nur NM, Dawal SZMd, Dahari M (2014) The prevalence of work related musculoskeletal disorders among workers performing industrial repetitive tasks in the automotive manufacturing companies. In: Proceedings of the 2014 international conference on industrial engineering and operations management Bali, Indonesia, 7–9 January 2014Google Scholar
  14. 14.
    Oh I-H, Yoon S-J, Seo H-Y, Kim E-J, Kim YA (2011) The economic burden of musculoskeletal disease in Korea: a cross sectional study. BMC Musculoskelet DisordGoogle Scholar
  15. 15.
    Peele PB, Xu Y, Colombi A (2005) Medical care and lost work day costs in musculoskeletal disorders: older versus younger workers. In: International congress series, pp 214–18Google Scholar
  16. 16.
    Piedrahita H (2006) Costs of work-related musculoskeletal disorders (MSDs) in developing countries: Colombia case. Int J Occup Saf Ergon 12:379–386Google Scholar
  17. 17.
    Murphy PL, Courtney TK (2002) Low back pain disability: relative costs by antecedent and industry group. Am J Ind Med 37:558–571CrossRefGoogle Scholar
  18. 18.
    Rohani JM, Zainal AM, Johari MF, Sirat RMd (2016) Analysis of compensation cost related to musculoskeletal disorders (MSDs) against younger and older Malaysian manufacturing workers. In: Proceedings of the 2016 international conference on industrial engineering and operations management, Kuala Lumpur, MalaysiaGoogle Scholar
  19. 19.
    A, Cheng S, Douwes J, Ellison-Loschmann L, McLean D, Pearce N (2011) Prevalence of musculoskeletal symptoms in relation to gender, age, and occupational/industrial group. Int J Ind Ergon 41:561–572Google Scholar
  20. 20.
    WorkCoverSA (2010) Statistical Review Part 1, WorkCoverSA. http://www.workcover.com/site/workcover/resources/publications.aspx. Accessed 4 Oct 2016

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Raemy Md Zein
    • 1
    Email author
  • Jafri Mohd Rohani
    • 2
  • Norsheila Zainal Abidin
    • 2
  • Ismail Abdul Rahman
    • 1
  1. 1.Ergonomics Excellence CentreNIOSHSenaiMalaysia
  2. 2.Faculty of Mechanical EngineeringUTMSkudaiMalaysia

Personalised recommendations