The Journal of Arthroplasty
Volume 19, Issue 6 , Pages 700-705 , September 2004

Comorbid illness affects hospital costs related to hip arthroplasty: Quantification of health status and implications for fair reimbursement and surgeon comparisons1

  • Amit N. Shah, MD, MHSc

      Affiliations

    • School of Medicine, Durham, North Carolina, USA
    • Dr. Shah currently is a resident physician at the University of California, Los Angeles, California.
    • ,
  • Thomas P. Vail, MD

      Affiliations

    • Division of Orthopedic Surgery, Duke University Medical Center, Durham, North Carolina, USA
    • ,
  • Donald Taylor, PhD

      Affiliations

    • Center for Health Policy, Law, and Management, Duke University, Durham, North Carolina, USA
    • ,
  • Ricardo Pietrobon, MD

      Affiliations

    • Division of Orthopedic Surgery, Duke University Medical Center, Durham, North Carolina, USA
    • Corresponding Author InformationReprint requests: Ricardo Pietrobon, MD, Assistant Professor of Surgery, Division of Orthopedic Surgery, Duke University Medical Center, PO Box 3094, Durham, NC 27710 USA

Received 31 March 2003 ,Accepted 1 February 2004.

References 

  1. Shwartz M, Iezzoni LI, Moskowitz MA, et al.  The importance of comorbidities in explaining differences in patient costs. Med Care. 1996;34:767
  2. Wasielewski RC, Weed H, Prezioso C, et al.  Patient comorbidity (relationship to outcomes of total knee arthroplasty). Clin Orthop. 1998;356:85
  3. Fleisher L. Preoperative evaluation. p. xx-xxxv In:  Barash PG,  Cullen BF,  Stoelting RK editor. Clinical Anesthesia. Philadelphia: Lippincott-Raven; 1997;
  4. Charlson ME, Pompei P, Ales KL, et al.  A new method of classifying prognostic comorbidity in longitudinal studies (development and validation). J Chronic Dis. 1987;40:373
  5. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613
  6. 3M all patient refined DRG (APR-DRG) software. 2004; Available at: http://www.3m.com/us/healthcare/his/products/coding/refined_drg.jhtml Accessed July 16
  7. Sheskin D. Handbook of Parametric and Nonparametric Statistical Procedures. Boca Raton, FL: Chapman & Hall/CRC; 2000;
  8. Beddhu S, Bruns FJ, Saul M, et al.  A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients. Am J Med. 2000;108:609
  9. Munoz E, Johnson H, Margolis I, et al.  DRGs, orthopedic surgery, and age at an academic medical center. Orthopedics. 1988;11:1645
  10. Smith LR, Milano CA, Molter BS, et al.  Preoperative determinants of postoperative costs associated with coronary artery bypass graft surgery. Circulation. 1994;90:124
  11. Subramanian S, Liu CF, Cromwell J, et al.  Preoperative correlates of the cost of coronary artery bypass graft surgery (comparison of results from three hospitals). Am J Med Qual. 2001;16:87
  12. Barrack RL, Hoffman GJ, Tejeiro WV, et al.  Surgeon work input and risk in primary versus revision total joint arthroplasty. J Arthroplasty. 1995;10:281

PII: S0883-5403(04)00222-0

doi: 10.1016/j.arth.2004.02.034

The Journal of Arthroplasty
Volume 19, Issue 6 , Pages 700-705 , September 2004

Article Tools