Archives of Physical Medicine and Rehabilitation
Volume 90, Issue 7 , Pages 1110-1116 , July 2009

Relationship Between Diabetes Codes That Affect Medicare Reimbursement (Tier Comorbidities) and Outcomes in Stroke Rehabilitation

  • 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, Div of Rehabilitation Sciences, 301 University Blvd, Galveston, TX 77555-1137
    • ,
  • Cynthia M. Ripsin, MS, MPH, MD

      Affiliations

    • Department of Family Medicine, University of Texas Medical Branch, Galveston, TX
    • ,
  • Anne Deutsch, RN, PhD, CRRN

      Affiliations

    • Rehabilitation Institute of Chicago, Chicago, IL
    • ,
  • Yong-Fang Kuo, PhD

      Affiliations

    • Department of Internal Medicine—Geriatrics, University of Texas Medical Branch, Galveston, TX
    • Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX
    • ,
  • Sam Markello, PhD

      Affiliations

    • Uniform Data System for Medical Rehabilitation, Buffalo, NY
    • ,
  • Carl V. Granger, MD

      Affiliations

    • Uniform Data System for Medical Rehabilitation, Buffalo, NY
    • ,
  • Kenneth J. Ottenbacher, PhD, OTR

      Affiliations

    • Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX
    • Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX

  • Image Result

    Predicted values for length of stay by age for all 3 diabetes groups controlling for all other variables listed in the model in table 3. ‡Significant (P<.05) difference between tier diabetes and no-di

    Predicted values for length of stay by age for all 3 diabetes groups controlling for all other variables listed in the model in table 3. ‡Significant (P<.05) difference between tier diabetes and no-diabetes groups. †Significant (P<.05) difference between tier diabetes and nontier diabetes groups.

  • Image Result
    Predicted values for discharge FIM total by age for all 3 diabetes groups controlling for all other variables listed in the model in table 3. ‡Significant (P<.05) difference between tier diabetes and

    Predicted values for discharge FIM total by age for all 3 diabetes groups controlling for all other variables listed in the model in table 3. ‡Significant (P<.05) difference between tier diabetes and no-diabetes groups. †Significant (P<.05) difference between tier diabetes and nontier diabetes groups.

  • Image Result
    Predicted percentage of discharges home by age for all 3 diabetes groups controlling for all other variables listed in the model in table 3. ‡Significant (P<.05) difference between tier diabetes and n

    Predicted percentage of discharges home by age for all 3 diabetes groups controlling for all other variables listed in the model in table 3. ‡Significant (P<.05) difference between tier diabetes and no-diabetes groups.

 Supported by the National Institutes of Health (grant no. K02-AG019736) and the National Institute on Disability and Rehabilitation Research (grant nos. H133G080163, H133P040003, and H133A030807).

 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.

PII: S0003-9993(09)00209-3

doi: 10.1016/j.apmr.2009.01.014

Archives of Physical Medicine and Rehabilitation
Volume 90, Issue 7 , Pages 1110-1116 , July 2009

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