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Frain, Michael P.; Bishop, Malachy; Rumrill, Phillip D., Jr.; Chan, Fong; Tansey, Timothy N.; Strauser, David; Chiu, Chung-Yi – Rehabilitation Research, Policy, and Education, 2015
Multiple sclerosis (MS) is an unpredictable, sometimes progressive chronic illness affecting people in the prime of their working lives. This article reviews the effects of MS on employment based on the World Health Organization's International Classification of Functioning, Disability and Health model. Correlations between employment and…
Descriptors: Diseases, Neurological Impairments, Chronic Illness, Accessibility (for Disabled)
Bishop, Malachy; Chan, Fong; Rumrill, Phillip D., Jr.; Frain, Michael P.; Tansey, Timothy N.; Chiu, Chung-Yi; Strauser, David; Umeasiegbu, Veronica I. – Rehabilitation Research, Policy, and Education, 2015
Purpose: To examine demographic, functional, and clinical multiple sclerosis (MS) variables affecting employment status in a national sample of adults with MS in the United States. Method: The sample included 4,142 working-age (20-65 years) Americans with MS (79.1% female) who participated in a national survey. The mean age of participants was…
Descriptors: Employment Level, Diseases, Chronic Illness, Neurological Impairments
Tansey, Timothy N.; Strauser, David; Frain, Michael P.; Bishop, Malachy; Chiu, Chung-Yi; Kaya, Cahit; Chan, Fong – Rehabilitation Research, Policy, and Education, 2015
The experience of living with multiple sclerosis (MS) can have a profound effect on employment. The impact of MS is a complex interaction of personal, medical, functional, financial, and psychosocial variables that ultimately results in up to 80% of persons with MS leaving their jobs within 10 years of their diagnosis. The aim of this study was to…
Descriptors: Diseases, Chronic Illness, Neurological Impairments, Job Applicants
Chan, Jacob Yui-Chung; Keegan, John P.; Ditchman, Nicole; Gonzalez, Rene; Zheng, Lisa Xi; Chan, Fong – Rehabilitation Research, Policy, and Education, 2011
Objective: To determine whether employment outcomes of people with disabilities can be predicted by the social-cognitive/attribution theory of stigmatization. Design: Ex post facto design using data mining technique and logistic regression analysis. Participants: Data from 40,585 vocational rehabilitation (VR) consumers were extracted from the…
Descriptors: Vocational Rehabilitation, Physical Disabilities, Attribution Theory, Social Bias