Dr. Kenneth Ottenbacher of the University of Texas Medical Branch Galveston is principal investigator for the second project, Predicting Rehospitalization in Medical Rehabilitation. In this study we are examining the rate of rehospitalization among approximately 35,000 patients who received inpatient medical rehabilitation for various impairments. Discriminant function and neural network analysis are being used to develop prediction models to determine variables or patterns of variables associated with rehospitalization. A prediction model of rehospitalization for medical rehabilitation will allow researchers, clinicians, administrators, and policy analysts to allocate future resources more effectively. Penn Ability Systems is a trademark of the Trustees of the University of Pennsylvania.
Functional task benchmarks for stroke rehabilitation.
Archives of Physical Medicine and Rehabilitation, 79,497-504. Submitted to Archives of Physical Medicine and Rehabilitation, May, 1998. Final Report to the National Institute on Disability and Rehabilitation Research. U.S. Department of Health, June 21, 1997. Impairment-specific dimensions within the Functional Independence Measure.