Stroke-specific FIM models in an urban population

Data from the Functional Independence Measure (FIM) are important outcome measures in the stroke population undergoing rehabilitation. The FIM consists of 18 scales scored from 1 to 7; higher numbers mean greater ability. Several different scores can be obtained from the FIM: a total score (sum of all the scales), individual scale scores, and a physical and cognitive score (a two-dimensional interpretation). Research has shown that FIM data can have multidimensional components. That implies different groupings of scales may exist and with this the possibility of developing more sophisticated and robust measures within stroke populations. This study examined the multidimensional aspects of FIM using an urban sample of ischemic and hemorrhagic stroke patients. We found a three-dimensional FIM solution for both stroke groups that included self-care, cognitive function, and toileting as the major grouping of scales. These findings confirm a multidimensional nature of FIM scores and show a condition-specific pattern of FIM scores in stroke patients. This knowledge will help nurses, clinicians, and researchers develop more sensitive ways of recording care outcomes; improved prediction of stroke outcomes may also emerge from this knowledge.