Archives of Physical Medicine and Rehabilitation
Volume 91, Issue 1 , Pages 43-50 , January 2010

Influence of Sex and Age on Inpatient Rehabilitation Outcomes Among Older Adults With Traumatic Brain Injury

  • James E. Graham, PhD, DC

      Affiliations

    • Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX
    • Corresponding Author InformationCorrespondence to James E. Graham, PhD, DC, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555-1137
    • ,
  • Dawn M. Radice-Neumann, PhD

      Affiliations

    • Carolinas Rehabilitation, Charlotte, NC
    • ,
  • Timothy A. Reistetter, PhD, OTR

      Affiliations

    • Department of Occupational Therapy, East Carolina University, Greenville, NC
    • ,
  • Flora M. Hammond, MD

      Affiliations

    • Carolinas Rehabilitation, Charlotte, NC
    • ,
  • Marcel Dijkers, PhD

      Affiliations

    • Department of Rehabilitation Medicine, Mount Sinai School of Medicine, New York, NY
    • ,
  • Carl V. Granger, MD

      Affiliations

    • Uniform Data System for Medical Rehabilitation, Department of Rehabilitation Medicine, State University of New York at Buffalo, Buffalo, NY

  • Image Result

    Predicted values for length of stay by age and sex adjusted for all other variables listed in table 2.

    Predicted values for length of stay by age and sex adjusted for all other variables listed in table 2.

  • Image Result

    Predicted values for discharge FIM motor ratings by age and sex adjusted for all other variables listed in table 2.

    Predicted values for discharge FIM motor ratings by age and sex adjusted for all other variables listed in table 2.

  • Image Result

    Predicted values for discharge FIM cognitive ratings by age and sex adjusted for all other variables listed in table 2.

    Predicted values for discharge FIM cognitive ratings by age and sex adjusted for all other variables listed in table 2.

  • Image Result

    Predicted percentages of patients discharged home by age and sex adjusted for all other variables listed in table 3.

    Predicted percentages of patients discharged home by age and sex adjusted for all other variables listed in table 3.

  • Image Result

    Predicted percentages of home-discharged patients scheduled to receive home health care services by age and sex adjusted for all other variables listed in table 3.

    Predicted percentages of home-discharged patients scheduled to receive home health care services by age and sex adjusted for all other variables listed in table 3.

 Supported in part by the National Institute on Disability and Rehabilitation Research (grant no. H133G080163) and the National Institutes of Health, National Institute for Child Health and Human Development and National Institute for Neurological Disorders and Stroke (grant no. K12-H0055929).

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated. Granger is employed by the State University of New York at Buffalo, which is affiliated with the Uniform Data System for Medical Rehabilitation. The Uniform Data System for Medical Rehabilitation owns the copyright and trademark for the FIM instrument.

 Reprints are not available from the author.

PII: S0003-9993(09)00846-6

doi: 10.1016/j.apmr.2009.09.017

Archives of Physical Medicine and Rehabilitation
Volume 91, Issue 1 , Pages 43-50 , January 2010

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