|Dataset Full Name||Stroke Recovery in Underserved Populations 2005-2006|
|Summary||The SRUP study is a longitudinal study of stroke patients admitted to inpatient rehabilitation facilities, designed to examine the effects and interactions of positive emotion and social networks in the motor and cognitive recovery of stroke patients in underserved groups. Data was collected at four points in time: at admission and discharge from the rehabilitation facility as well as follow-ups at 3 and 12 months post discharge.
The study was designed at the University of Texas Medical Branch. Inpatient and follow up data were collected by the IT Health Track.
|Key Terms||Stroke, Inpatient Rehabilitation Facilities, Functional Independence Measure, Positive affect, Health and Well-Being, Social Support, Underserved elderly, Ethnic minorities|
|Sponsoring Agency/Entity||National Institutes of Health (NIH):
National Institute on Aging (NIA)
|Health Conditions/Disability Measures|
ICD-9 diagnostic codes, Depression, stroke, hemorrhagic stroke, ischemic stroke, other circulatory disease, hemiplegia, hemiparesis, paralysis, aphasia, dysphagia, neuromuscular symptoms.
|Disability Measures||Functional Independence Measure (FIM), Duke-UNC Functional Social Support Questionnaire, Center for Epidemiological Studies-Depression (CES-D), PART-PROTM Home and Community Participation Measure.||Measures/Outcomes of Interest|
|Topics||Rehabilitation Outcomes in Stroke Patients, Mind-Body Health, Positive Attitude and Well-Being, Social, Motor and Cognitive Function, Functional Status Recovery, Social Networks Interactions, Functional Independence, Health Disparities in Underserved Populations, Stroke Comorbidities.||Sample|
|Sample Population||Individuals with stroke admitted to 11 inpatient rehabilitation facilities in 9 different states in 2005-2006.|
|Sample Size/Notes||1,219 cases,1,206 unique patients|
|Unit of Observation||Patient and case level|
|Geographic Coverage||11 inpatient rehabilitation facilities located in nine states: California, New Jersey, New York, Illinois, Iowa, Kentucky, Florida, Washington, and Texas|
|Geographic specificity||Individual Inpatient Rehabilitation facility|
|Data Collection Mode||Admission and Discharge: In person assessment and interview during inpatient rehabilitation stay
Post discharge follow-up: telephone interview
|Data Collection Frequency||
Four time points of data collection:
|Strengths and Limitations|
|Strengths||Use of ICD-9 diagnostic codes and of validated and reliable instruments. Large sample size; adequate to answer questions based on specific stroke characteristics. Functional, emotional and participation measures can be used as outcomes. Comparisons on outcomes can be assessed longitudinally. 85% of eligible respondents participated|
|Limitations||Inpatient Rehabilitation facilities were not randomly chosen, limiting potential generalizability to national level. Underrepresentation of Hispanics limits generalizability to this ethnic group. Analysis on rehabilitation facility level may be problematic due to unbalanced sample sizes/small sample sizes. Stroke severity characterization unavailable||Data Details|
|Data Access Requirements||Public Use Dataset|
ICPSR Variable list:
|Data Components||N/A||Selected papers|
Berges, Ivonne-M., Kuo, Yong-Fang, Ottenbacher, Kenneth J., Seale, Gary S., Ostir, Glenn V. Recovery of functional status after stroke in a tri-ethnic population. PM&R. 4, (4), 290-295.
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
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