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Research Article| Volume 56, ISSUE 6, P515-519, June 2003

Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipients

  • Elena Losina
    Correspondence
    Corresponding author. Tel.: 617-638-5172; fax: 617-638-4458
    Affiliations
    Department of Epidemiology and Biostatistics, Boston University School of Public Health, 715 Albany Street, Talbor 3-E, Boston, MA 02118, USA

    Robert B. Brigham Arthritis Research Center, Division of Rheumatology, Immunology and Allergy, Brigham and Women Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
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  • Jane Barrett
    Affiliations
    Department of Family and Community Medicine, Dartmouth Medical School, 1 Rope Ferry Road, Hanover, NH 03755, USA

    Biostatistics and Epidemiology Group, 46 Centerra Parkway #300, Lebanon, NH 03766, USA
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  • John A Baron
    Affiliations
    Department of Medicine, Dartmouth Medical School, 1 Rope Ferry Road, Hanover, NH 03755, USA

    Department of Family and Community Medicine, Dartmouth Medical School, 1 Rope Ferry Road, Hanover, NH 03755, USA

    Biostatistics and Epidemiology Group, 46 Centerra Parkway #300, Lebanon, NH 03766, USA
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  • Jeffrey N Katz
    Affiliations
    Robert B. Brigham Arthritis Research Center, Division of Rheumatology, Immunology and Allergy, Brigham and Women Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
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      Abstract

      This analysis was performed to examine whether Medicare claims accurately document underlying rheumatologic diagnoses in total hip replacement (THR) recipients. We obtained data on rheumatologic diagnoses including rheumatoid arthritis (RA), avascular necrosis (AVN), and osteoarthritis (OA) from medical records and from Medicare claims data. To examine the accuracy of claims data we calculated sensitivity and positive predictive value using medical records data as the “gold standard” and assessed bias due to misclassification of claims-based diagnoses. The sensitivities of claims-based diagnoses of RA, AVN, and OA were 0.65, 0.54, and 0.96, respectively; the positive predictive values were all in the 0.86–0.89 range. The sensitivities of RA and AVN varied substantially across hospital volume strata, but in different directions for the two diagnoses. We conclude that inaccuracies in claims coding of diagnoses are frequent, and are potential sources of bias. More studies are needed to examine the magnitude and direction of bias in health outcomes research due to inaccuracy of claims coding for specific diagnoses.

      Keywords

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