Date Approved
1995
Graduate Degree Type
Thesis
Degree Name
Physical Therapy (M.S.)
Degree Program
Physical Therapy
First Advisor
Barb Baker
Second Advisor
William Bell
Third Advisor
Cathy C. Harro
Abstract
The purpose was to define subsets of variables that are found within the Functional Independence Measurement (FIM) scale that demonstrate a high predictability to right cerebral vascular accident (CVA) patient's discharge site, including home, foster home, and skilled nursing facility. The researchers wanted to find if gait, along with other subsets, has a high prediction to discharge site than overall FIM admission and discharge scores together and separately.; Gait did not show a higher prediction to discharge site compared with subsets of FIM variables and overall FIM admission and discharge scores, together and separately. However, other subsets were found to demonstrate a high prediction to discharge site. Subset one, which includes activities of daily living, and subset five, which includes mobility and cognitive items, demonstrated a high prediction to discharge site. Therefore it is possible to develop a shortened screening tool to decrease the time it takes to determine the most appropriate discharge site.
ScholarWorks Citation
Cloud, Joseph A.; Johnson, Daren C.; and Lauinger, Tricia A., "Functional Independence Measurement Scale: Analysis of Variables to Determine Predictability to Stroke Patient's Discharge Site" (1995). Masters Theses. 248.
https://scholarworks.gvsu.edu/theses/248
Comments
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