| Citation: |
Roessler, R., Rumrill, P., & Fitzgerald, S. (2015). Predictors of differential employment statuses of adults with multiple sclerosis.
Journal of Vocational Rehabilitation, 42
(2),
97-103.
|
| Title: |
Predictors of differential employment statuses of adults with multiple sclerosis |
| Authors: |
Roessler, R., Rumrill, P., & Fitzgerald, S. |
| Year: |
2015 |
|
Journal/Publication:
|
Journal of Vocational Rehabilitation |
| Publisher: |
IOS Press |
| DOI: |
https://doi.org/10.3233/JVR-150731
|
| Full text: |
http://content.iospress.com/articles/journal-of-vocational-rehabili...
|
PDF
|
| Peer-reviewed? |
Yes
|
| NIDILRR-funded? |
No
|
|
Research design:
|
Survey research
|
| Background: |
Despite having large amounts of employment potential, adults with multiple sclerosis (MS) often leave the work force upon being diagnosed, and this exist can be permanent. |
|
Purpose:
|
The goal of the study was to gather information on factors related to the low rate of employment in people with MS. |
|
Setting:
|
The participants were members of nine National Multiple Sclerosis Society chapters that were located within 21 different states in the USA. |
|
Study sample: |
The sample consisted of both men and women with MS, and most were well-educated, but unemployed. |
|
Data collection and analysis:
|
The data was collected from the participants in a survey given to them that contained 98 items intended to gain an understanding of their wellness, demographics, and employment status.
Once collected, the data had a forward, stepwise multinomial logistic regression
analysis performed on it to determine which, if any, of the variables were linked to the employment status of the participants. |
|
Findings:
|
It was found that younger individuals with fewer and less severe MS symptoms were more likely to be employed than their older peers. Those with financial security and a better education were also more likely to have jobs. |
|
Conclusions:
|
The study shows that the factors affecting people with MS and their employment can be complex, although who will and will not continue to be employed can be predicted to an extent. Early interventions into their work may be effective in increasing the number of people remaining in work, but more study is needed. |
