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Short Term Predictors of Unemployment in Multiple Sclerosis Patients

Published online by Cambridge University Press:  16 December 2016

K.D. Busche
Affiliation:
Department of Clinical Neurosciences, University of Calgary, Calgary, AB
J.D. Fisk
Affiliation:
Department of Psychology, Dalhousie University, Halifax, NS, Canada Department of Medicine, Dalhousie University, Halifax, NS, Canada
T.J. Murray
Affiliation:
Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
L.M. Metz*
Affiliation:
Department of Clinical Neurosciences, University of Calgary, Calgary, AB
*
Foothills Medical Centre, 1403 29th St. NW, Calgary, AB, Canada T2N 2T9
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Abstract:

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Background:

Unemployment is common in people with multiple sclerosis (MS) and is associated with loss of income and impaired health related quality of life. This study determined variables associated with unemployment and risk factors for the development of unemployment in people with MS.

Methods:

Ninety-six patients who were under age 65 and participated in two previous studies to measure economic costs and health related quality of life in MS were included. The baseline employment rate and variables associated with unemployment at baseline were determined. The ability of these variables to predict unemployment over the next two and a half years was then evaluated.

Results:

At baseline 50.1% (50/96) of participants were employed. Two and a half years later only 40.6% (39/96) remained employed. This represents loss of employment for 22.0% (11/50) of those originally employed. Factors associated with unemployment at baseline included greater disability, progressive disease course, longer disease duration, and older age. Risk factors for loss of employment over the next 2.5 years included greater disability and older age.

Conclusions:

This study confirms the low employment rate among people with MS and confirms the association of several previously-reported factors with greater risk of unemployment. It is also the first study to confirm that some of these factors also increase the risk of future unemployment. People with MS who are over age 39 or have moderate disability and are still employed can now be identified as at risk for becoming unemployed over the next 2.5 years. They should be considered for interventions to maintain employment or to lessen the impact of unemployment.

Résumé:

RÉSUMÉ:Contexte:

Le chômage est fréquent chez les individus atteints de sclérose en plaques (SEP) et il est associé à une perte de revenu et à une diminution de la qualité de vie reliée à la santé (QVRS). Cette étude a identifié des variables associées au chômage et des facteurs de risque du chômage chez les individus atteints de SEP.

Méthodes:

Quatre-vingt-seize patients de moins de 65 ans, ayant participé à deux études antérieures sur les conséquences économiques et la QVRS dans la SEP, ont été inclus dans l'étude. Le taux d'emploi et les variables associées au chômage ont été déterminés au début de l'étude. On a évalué la capacité de ces variables à prédire le chômage éventuel au cours d'une période de deux ans et demie.

Résultats:

Au début de l'étude, 50,1% (50/96) des participants avaient un emploi. Deux ans et demi plus tard, seulement 40,6% (39/96) travaillaient encore, ce qui représente une perte d'emploi pour 22,0% (11/50) de ceux qui travaillaient au début de l'étude. Les facteurs associés au chômage au début de l'étude étaient: un degré plus élevé d'invalidité, une maladie progressive, une durée plus longue de la maladie et un âge plus élevé. Les facteurs de risque d'une perte d'emploi pendant les 2,5 années de l'étude étaient: un degré d'invalidité supérieur et un âge plus élevé.

Conclusions:

Cette étude confirme le faible taux d'emploi chez les individus atteints de SEP et l'association de plusieurs facteurs déjà identifiés avec un risque plus élevé de chômage. C'est également la première étude à confirmer que certains de ces facteurs augmentent également le risque de chômage subséquent. On peut dorénavant considérer que les individus atteints de SEP, qui ont plus de 39 ans ou qui ont une invalidité modérée et qui ont encore un emploi, sont à risque de devenir chômeurs dans les 2,5 prochaines années. On devrait envisager d'intervenir pour maintenir l'emploi ou pour diminuer l'impact du chômage éventuel.

Type
Original Article
Copyright
Copyright © The Canadian Journal of Neurological 2003

References

REFERENCES

1. The Canadian Burden of Illness Study Group. Burden of illness of multiple sclerosis: Part I: cost of illness. Can J Neurol Sci 1998;25:2330.CrossRefGoogle Scholar
2. Grima, DT, Torrance, GW, Francis, G, et al. Cost and health related quality of life consequences of multiple sclerosis. Mult Scler 2000; 6(2):9198.CrossRefGoogle ScholarPubMed
3. Asche, CV, Ho, E, Chan, B, et al. Economic consequences of multiple sclerosis for Canadians. Acta Neurol Scand 1997; 95:268274.CrossRefGoogle ScholarPubMed
4. Inman, RP. Disability indices, the economic costs of illness, and social insurance: the case of multiple sclerosis. Acta Neurol Scand 1984; Suppl 101:4655.Google ScholarPubMed
5. Klein, GM, Rose, MS, Seland, TP. A prevalence study of multiple sclerosis in the Crowsnest Pass region of Southern Alberta. Can J Neurol Sci 1994; 21:262265.CrossRefGoogle ScholarPubMed
6. Warren, S, Warren, KG. Prevalence of multiple sclerosis in Barrhead County, Alberta, Canada. Can J Neurol Sci 1992; 19(1):7275.CrossRefGoogle ScholarPubMed
7. Svensen, LW, Woodhead, SE, Platt, GH. Regional variations in the prevalence rates of multiple sclerosis in the province of Alberta, Canada. Neuroepidemiology 1994; 13:813.CrossRefGoogle Scholar
8. Aronson, KJ. Quality of life among persons with multiple sclerosis and their caregivers. Neurology 1997; 48(1):7480.Google Scholar
9. Rozin, R, Schiff, Y, Kahana, E, et al. Vocational status of multiple sclerosis patients in Israel. Arch Phys Med Rehab 1975;56(7):300304.Google ScholarPubMed
10. Mitchell, JN. Multiple sclerosis and the prospects for employment. J Soc Occupl Med 1981; 31(4):134138.Google Scholar
11. Scheinberg, L, Holland, N, LaRocca, N, et al. Vocational disability and rehabilitation in multiple sclerosis. Int J Rehab Res 1981; 4(1):6164.CrossRefGoogle ScholarPubMed
12. Scheinberg, L, Holland, N, LaRocca, N, et al. Multiple sclerosis; earning a living. N Y State J Med 1980; 80(9):13951400.Google ScholarPubMed
13. LaRocca, N, Kalb, R, Scheinberg, L, et al. Factors associated with unemployment of patients with multiple sclerosis. J Chron Dis 1985; 38(2):203210.Google Scholar
14. Kornblith, AB, La Rocca, NG, Baum, HM. Employment in individuals with multiple sclerosis. Int J Rehab Res 1986; 9(2):155165.Google Scholar
15. Gronning, M, Hannisdal, E, Mellgren, SI. Multivariate analyses of factors associated with unemployment in people with multiple sclerosis. J Neurol Neurosurg Psychiatry 1990; 53(5):388390.Google Scholar
16. Edgley, K, Sullivan, MJL, Dehoux, E. A survey of multiple sclerosis. Part 2. Determinants of employment status. Can J Rehab 1991; 4(3):127132.Google Scholar
17. Jackson, MF, Quaal, C, Reeves, MA. Effects of Multiple sclerosis on occupational and career patterns. Axon 1991; 13(1):1617, 20–22.Google Scholar
18. Rodriguez, M, Siva, A, Ward, J, et al. Impairment, disability, and handicap in multiple sclerosis: a population-based study in Olmsted County, Minnesota. Neurology 1994; 44(1):2833.CrossRefGoogle ScholarPubMed
19. Hammond, SR, McLeod, JG, Macaskill, P, et al. Multiple sclerosis in Australia: socioeconomic factors. J Neurol Neurosurg Psychiatry 1996; 61(3):311313.Google Scholar
20. LaRocca, N, Kalb, R, Kendall, P, et al. The role of disease and demographic factors in the employment of patients with multiple sclerosis. Arch Neurol 1982; 39(4):256.Google Scholar
21. Jacobs, LD, Wende, KE, Brownscheidle, CM, et al. A profile of multiple sclerosis: the New York State Multiple Sclerosis Consortium. Mult Scler 1999; 5(5):369376.Google Scholar
22. Verdier-Taillefer, MH, Sazdovitch, V, Borgel, F, et al. Occupational environment as risk factor for unemployment in multiple sclerosis. Acta Neurol Scand 1995; 92(1):5962.Google Scholar
23. Rao, SM, Leo, GJ, Ellington, L, et al. Cognitive dysfunction in multiple sclerosis: 2. Impact on employment and social functioning. Neurology 1991; 41:692696.CrossRefGoogle Scholar
24. Statistics Canada’s Internet Site, Labour force characteristics by economic region. http://www.statcan.ca/english/econoind/lferuc.htm,January 8, 2001.Google Scholar