Development of a Web-Based Musculoskeletal Pain Management Information System

Authors

  • Oluwole B Olajide Department of Physical and Computer Sciences, College of Natural and Applied Sciences, McPherson University, Ajebo, Ogun State, Nigeria
  • Ikechukwu Nwosu Faculty of Arts, Computing, Engineering & Social Sciences, Sheffield Hallam University, Sheffield, UK
  • Samson Oluyemi Sogunro Faculty of Arts, Computing, Engineering & Social Sciences, Sheffield Hallam University, Sheffield, UK

DOI:

https://doi.org/10.14738/tnc.36.1569

Keywords:

Musculoskeletal Pain, Management Information System, Web Based Development

Abstract

Musculoskeletal symptoms among adolescents are related to the time spent using a computer, but little is known about the seriousness of the symptoms or how much they affect everyday life. The purpose of the present study was to examine the intensity of musculoskeletal pain and level of inconvenience to everyday life, in relation to time spent using a computer. This paper developed a system that determines the likelihood of musculoskeletal pain and uses the data stored from the likelihood in developing a predictive model to re-evaluate future data; achieved by – identifying the risk factors and their relationship with the likelihood of musculoskeletal pain, design the system which will be used in the development and implement the design using java programming language.

The methodology of the system involved the identification of the requirements and their relationship with the determination of musculoskeletal pain likelihood; the model involved the allocation of points to each label of the risk factors.  Ranges of the sum of points are then used to determine the musculoskeletal pain of each user.  The input risk factors’ data were collected from a number of participants as patients which were processed in determining their respective status (unlikely, likely, benign and malignant)-the data was later converted into an .arff file format.  For the implementation, the software used in performing the detection was implemented in java using the Netbeans IDE 7.1 while the predictive models were implemented using the java API,– a java oriented; data mining tool used for performing classification and forecasting. At baseline a self-administered questionnaire was distributed to 853 participants from 46 different work sites (382 men and 471 women) who, at baseline, had been free from neck and upper extremity symptoms during the preceding month. Work-related exposures, individual factors, and symptoms from the neck and upper extremities were assessed.

Observations of working technique were performed by ergonomists using an ergonomic checklist. Incidence data were collected asking for information on the occurrence of neck, shoulder and arm/hand symptoms. Perceived exertion was rated on a modified scale ranging from 0 (very, very light) to 14 (very, very strenuous). Perceived comfort was rated on a 9-point scale ranging from -4 (very, very poor) to +4 (very, very good) in relation to the chair, computer screen, keyboard, and computer mouse. It was also observed that correct alignment with the computer reduces all the musculoskeletal pain and thus corrects the computer users about the use of ergonomic sitting posture when using the computer.  There was a strong association between high perceived exertion and the development of neck, shoulder, and arm/hand symptoms. Moreover, there was an association between poor perceived comfort and neck pain. Surveillance of computer users may include perceived exertion and comfort to target individuals at risk for neck and upper extremity symptoms.

References

. Andersen JH, Haahr JP, Frost P: Risk factors for more severe regional musculoskeletal symptoms: a two-year prospective study of a general working population. Arthritis Rheum 2007, 56(4):1355-1364. [http://www.av.se/dokument/statistik/officiell_stat/ARBORS2010.pdf].

. Arvidsson I, Axmon A, Skerfving S: Follow-up study of musculoskeletal disorders 20 months after the introduction of a mouse-based computer system. Scand J Work Environ Health 2008, 34(5): p. 374-380.

. Balogh I, Orbaek P, Ohlsson K, Nordander C, Unge J, Winkel J, Hansson GA: Self-assessed and directly measured occupational physical activitiesinfluenceof musculoskeletal complaints, age and gender. Appl Ergon 2004, 35(1): p. 49-56.

. Bongers PM, Ijmker S, van den Heuvel S, Blatter BM: Epidemiology of work related neck and upper limb problems: psychosocial and personal risk factors (part I) and effective interventions from a bio behavioural perspective (part II). J Occup Rehabil 2006, 16(3): p. 279-302.

. Bostrom M, Dellve L, Thomee S, Hagberg M: Risk factors for generally reduced productivity-a prospective cohort study of young adults with neck or upper-extremity musculoskeletal symptoms. Scand J Work Environ Health 2008, 34(2): p. 120-132

. Borg G: Psychophysical scaling with applications in physical work and the perception of exertion. Scand J Work Environ Health 1990, 16(Suppl 1): p. 55-58.

. Chih-lin A, Gustafsson M, Hansson GA: Effects of prismatic glasses including optometric correction on head and neck kinematics, perceived exertion and comfort during dental work in the oral cavity-a randomised controlled intervention. Appl Ergon 2012, 43(1): p. 246-253.

. Clement M: Risk of musculoskeletal disorders among females and males in repetitive/constrained work. Ergonomics 2009, 52(10): p. 1226-1239.

. Deitel M, Deitel C (1999a). Data Mining for Medical Database. Proceedings of the First National Conference on Artificial Intelligence Application in Industry. Kuala Lumpur, pp. 72-79.

. European Foundation for the improvment of living and working conditions. [http://www.eurofound.europa.eu/pubdocs/2006/98/en/2/ ef0698en.pdf].

. Ergonomic checklist for computer work. 1997 [http://www.sahlgrenska. se/upload/SU/omrade_6/Arbets-%20och%20Miljömedicin/AMM/fhvmetodik/checklista.pdf].

. Feuerstein M: Functional assessment for persons with musculoskeletal pain and impairment. J Occup Rehabil 2004, 14(3): p. 163-164.

. Feuerstein M, Nicholas RA: Development of a short form of the Workstyle measure. Occup Med 2006, 56(2): p. 94-99.

. Hajek k.l, Zelic, I., Lavrac, N., Najdenov, P., Rener-Primec, Z. (1999). Impact of machine Learning of the Diagnosis and Prognosis of First Cerebral Paroxysm. Machine Learning and Applications: Machine Learning in Medical Applications. Chania, Greece, p. 24-26.

. Hagberg M, Vilhemsson R, Tornqvist EW, Toomingas A: Incidence of selfreported reduced productivity owing to musculoskeletal symptoms: association with workplace and individual factors among computer users. Ergonomics 2007, 50(11): p. 1820-1834.

. Hanvold TN, Veiersted KB, Waersted M: A prospective study of neck, shoulder, and upper back pain among technical school students entering working life. J Adolesc Health 2010, 46(5): p. 488-494.

. Hansson GA, Balogh I, Bystrom JU, Ohlsson K, Nordander C, Asterland P, Sjolander S, Rylander L, Winkel J, Skerfving S: Questionnaire versus direct technical measurements in assessing postures and movements of the head, upper back, arms and hands. Scand J Work Environ Health 2001, 27(1): p. 30-40.

. Harrington CB, Siddiqui A, Feuerstein M: Workstyle as a predictor of pain and restricted work associated with upper extremity disorders: a prospective study. J Hand Surg Am 2009, 34(4)

. Juul-Kristensen B, Sogaard K, Stroyer J, Jensen C: Computer users’ risk factors for developing shoulder, elbow and back symptoms. Scand J Work Environ Health 2004, 30(5): p. 390-398.

. Juul-Kristensen B, Jensen C: Self-reported workplace related ergonomic conditions as prognostic factors for musculoskeletal symptoms: the “BIT”follow up study on office workers. Occup Environ Med 2005, 62(3): p. 188-194.

. Karlqvist LK, Bernmark E, Ekenvall L, Hagberg M, Isaksson A, Rostö T: Computer mouse position as a determinant of posture, muscular load and perceived exertion. Scand J Work Environ Health 1998, 24(1): p. 62-73.

. Lindegård A, Wahlström J, Hagberg M, Hansson G-Å, Jonsson P, Wigaeus Tornqvist E: The impact of working technique on physical loads – an exposure profile among newspaper editors. Ergonomics 2003, 46(6): p. 598-615.

. Lindegård Andersson A: Working technique during computer work. Arbeteoch Hälsa 2007, 41:1

. Lindegård et al. BMC Musculoskeletal Disorders 2012, 13:38 http://www.biomedcentral.com/1471-2474/13/38

. Lindegård A, Gustafsson M, Hansson GA: Effects of prismatic glasses including optometric correction on head and neck kinematics, perceived exertion and comfort during dental work in the oral cavity-a randomised controlled intervention. Appl Ergon 2012, 43(1): p. 246-253.

. Nicholas RA, Feuerstein M, Suchday S: Workstyle and upper-extremity symptoms: a biobehavioral perspective. J Occup Environ Med 2005,47(4): p. 352-361.

. Nordander C, Ohlsson K, Akesson I, Arvidsson I, Balogh I, Hansson GA, Stromberg U, Rittner R, Skerfving S: Risk of musculoskeletal disorders among females and males in repetitive/constrained work. Ergonomics 2009, 52(10): p. 1226-1239.

. Norman K, Floderus B, Hagman M, Toomingas A, Tornqvist EW: Musculoskeletal symptoms in relation to work exposures at call centre companies in Sweden. Work 2008, 30(2): p. 201-214.

. Rempel D, Barr A, Brafman D, Young E: The effect of six keyboard designs on wrist and forearm postures. Appl Ergon 2007, 38(3): p. 293-298

. Rempel DM, Krause N, Goldberg R, Benner D, Hudes M, Goldner GU: A randomised controlled trial evaluating the effects of two workstation interventions on upper body pain and incident musculoskeletal disorders among computer operators. Occup Environ Med 2006, 63(5): p. 300-306.

. Rothman KJ, Greenland S, Lash TL: Modern epidemiology Philadelphia: Lippincott Williams & Wilkins; 2008.

. Roquelaure Y, Ha C, Leclerc A, Touranchet A, Sauteron M, Melchior M,Imbernon E, Goldberg M: Epidemiologic surveillance of upper-extremity musculoskeletal disorders in the working population. Arthritis Rheum 2006, 55(5): p. 765-778.

. Sauter SL, Swanson NG: An ecological model of musculoskeletal disorders in office work. In Beyond biomechanics: Psychosocial aspects of musculoskeletal disorders in office work Edited by: Moon SD, Sauter SL 1996: p. 3-21.

. Sillanpää J, Huikko S, Nyberg M, Kivi P, Laippala P, Uitti J: Effect of work with visual display units on musculo-skeletal disorders in the office environment. Occup Med 2003, 53(7): p. 443-451.

. Stock SR, Fernandes R, Delisle A, Vezina N: Reproducibility and validity of workers’ self-reports of physical work demands. Scand J Work Environ Health 2005, 31(6): p. 409-437.

. Tornqvist EW, Hagberg M, Hagman M, Risberg EH, Toomingas A: The influence of working conditions and individual factors on the incidence of neck and upper limb symptoms among professional computer users.Int Arch Occup Environ Health 2009, 82(6): p. 689-702.

. Tyrer KJ, Greenland S, Lash TL: Modern epidemiology Philadelphia: Lippincott Williams & Wilkins; 2008. Veiersted KB, Westgaard RH: Development of trapezius myalgia among female workers performing light manual work. Scand J Work Environ Health 1993, 19(4): p. 277-283.

. Wahlstrom J, Lindegard A, Ahlborg G Jr, Ekman A, Hagberg M: Perceived muscular tension, emotional stress, psychological demands and physical load during VDU work. Int Arch Occup Environ Health 2003, 76(8): p. 584-590.

. Wahlstrom J: Ergonomics, musculoskeletal disorders and computer work. Occupational Medicine 2005, 55(3): p. 168-176.

. Wahlstrom J, Hagberg M, Toomingas A, Wigaeus Tornqvist E: Perceived muscular tension, job strain, physical exposure, and associations with neck pain among VDU users; a prospective cohort study. Occup Environ Med 2004, 61(6): p. 523-528.

. World Health Organization. World Cancer Report 2008. Lyon: International Agency for Research on Cancer;2008

. Walker-Bone K, Palmer KT, Reading I, Coggon D, Cooper C: Prevalence and impact of musculoskeletal disorders of the upper limb in the general population. Arthritis Rheum 2004, 51(4): p. 642-651

. Zelic, I., Lavrac, N., Najdenov, P., Rener-Primec, Z. (1999). Impact of machine Learning of the Diagnosis and Prognosis of First Cerebral Paroxysm. Machine Learning and Applications: Machine Learning in Medical Applications. Chania, Greece: p. 24-26.

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Published

2016-01-05

How to Cite

Olajide, O. B., Nwosu, I., & Sogunro, S. O. (2016). Development of a Web-Based Musculoskeletal Pain Management Information System. Discoveries in Agriculture and Food Sciences, 3(6), 01. https://doi.org/10.14738/tnc.36.1569