Predicting Vocational Rehabilitation Outcomes among Older Stroke Survivors

다국어 초록 (Multilingual Abstract)

There is limited research in the vocational rehabilitation literature which examines employment issues among older stroke survivors. This study analyzed the Rehabilitation Services Administration case service report for fiscal year 2009 to explore demographic and vocational rehabilitation service (VR) variables impacting employment outcomes of persons age 55 and older who have experienced a stroke in the United States. The sample consisted of 690 people with stroke who were closed either a) rehabilitated or b) not rehabilitated by state/federal vocational rehabilitation agencies. Exhaustive chi-squared automatic interaction detector (CHAID) analysis was used to extract predictive information for employment outcomes of older individuals recovering from stroke. The CHAID analysis indicated that receiving rehabilitation technology services increased the probability of competitive employment for the target population. Age, gender, public supports, and job placement services were also significant factors in predicting employment outcomes among older individuals who have experienced a stroke. Together, these findings suggest certain demographic characteristics and VR services interact to predict the likelihood of employment outcomes among the target population. Clinical implications and suggested research directions are provided to improve employment services and increase employment rates among older adults who have experienced a stroke.

참고문헌 (Reference)

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