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State vocational rehabilitation services and employment in multiple sclerosis.

AbstractBACKGROUND:
Obtaining and maintaining suitable employment can be a significant challenge for people with multiple sclerosis (MS).
OBJECTIVE:
The objective of this article is to identify what vocational rehabilitation (VR) services helped MS clients obtain and maintain employment, after controlling for the effect of demographic covariates and disability-related government benefits.
METHODS:
We retrieved data from the Rehabilitation Services Administration (RSA) 911 database in the fiscal year (FY) 2009, and used VR services as predictors to predict employment outcomes of people with MS by hierarchical logistic regression.
RESULTS:
A total of 924 out of 1920 MS clients (48.1%) were successfully employed after receiving VR services. Logistic regression analysis results indicated that cash benefits (OR =0.51, p < 0.001) and public medical benefits (OR =0.76, p < 0.01) were negatively associated with employment outcomes, whereas counseling and guidance (OR = 1.68, p < 0.001), job placement assistance (OR = 2.43, p < 0.001), on-the-job supports (OR = 1.62, p < 0.01), maintenance services (OR = 1.59, p < 0.01), and assistive technology services (OR =2.09, p < 0.001) were significant predictors of positive employment outcomes.
CONCLUSION:
VR services were found to be associated with employment status. MS patients experiencing problems obtaining or maintaining employment should be encouraged to pursue services from state VR agencies.
AuthorsChung-Yi Chiu, Fong Chan, Malachy Bishop, Elizabeth da Silva Cardoso, John O'Neill
JournalMultiple sclerosis (Houndmills, Basingstoke, England) (Mult Scler) Vol. 19 Issue 12 Pg. 1655-64 (Oct 2013) ISSN: 1477-0970 [Electronic] England
PMID23519974 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Adolescent
  • Adult
  • Age Factors
  • Comorbidity
  • Databases, Factual
  • Disabled Persons (rehabilitation)
  • Educational Status
  • Employment
  • Female
  • Health Services Accessibility (statistics & numerical data)
  • Humans
  • Insurance, Disability
  • Logistic Models
  • Male
  • Mental Disorders (complications)
  • Middle Aged
  • Multiple Sclerosis (psychology, rehabilitation)
  • Odds Ratio
  • Rehabilitation, Vocational (statistics & numerical data)
  • Socioeconomic Factors
  • Treatment Outcome
  • United States
  • Young Adult

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