Volume 57, Issue 1 pp. 103-108
Original Article
Free to Read

Validity of gout diagnoses in administrative data

Leslie R. Harrold

Corresponding Author

Leslie R. Harrold

Meyers Primary Care Institute, University of Massachusetts Medical School, Fallon Foundation, and Fallon Community Health Plan, Worcester, Massachusetts

Department of Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655Search for more papers by this author
Kenneth G. Saag

Corresponding Author

Kenneth G. Saag

University of Alabama at Birmingham

Dr. Saag has received consulting fees (less than $10,000 each) from TAP Pharmaceuticals and Savient. Dr. Mikuls has received consulting fees (less than $10,000) from TAP Pharmaceuticals.

Department of Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655Search for more papers by this author
Robert A. Yood

Robert A. Yood

Meyers Primary Care Institute, University of Massachusetts Medical School, Fallon Foundation, and Fallon Community Health Plan, Worcester, Massachusetts

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Ted R. Mikuls

Ted R. Mikuls

University of Nebraska Medical Center, Omaha

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Susan E. Andrade

Susan E. Andrade

Meyers Primary Care Institute, University of Massachusetts Medical School, Fallon Foundation, and Fallon Community Health Plan, Worcester, Massachusetts

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Hassan Fouayzi

Hassan Fouayzi

Meyers Primary Care Institute, University of Massachusetts Medical School, Fallon Foundation, and Fallon Community Health Plan, Worcester, Massachusetts

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Judith Davis

Judith Davis

Meyers Primary Care Institute, University of Massachusetts Medical School, Fallon Foundation, and Fallon Community Health Plan, Worcester, Massachusetts

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K. Arnold Chan

K. Arnold Chan

Channing Laboratory and Harvard School of Public Health, Boston, Massachusetts

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Marsha A. Raebel

Marsha A. Raebel

Kaiser Permanente Colorado, Denver

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Ann Von Worley

Ann Von Worley

Lovelace Clinic Foundation, Albuquerque, New Mexico

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Richard Platt

Richard Platt

Harvard Pilgrim Health Care, Boston, Massachusetts

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First published: 31 January 2007
Citations: 82

Abstract

Objective

To determine the utility of using administrative data for epidemiologic studies of gout by examining the validity of gout diagnoses in claims data.

Methods

From a population of ∼800,000 members from 4 managed care plans, we identified patients who had at least 2 ambulatory claims for a diagnosis of gout between January 1, 1999 and December 31, 2003. From this group, a random sample of 200 patients was chosen for medical record review. Trained medical record reviewers abstracted gout-related clinical, laboratory, and radiologic data from the medical records. Two rheumatologists independently evaluated the abstracted information and assessed whether the gout diagnosis was probable/definite or unlikely/insufficient information. Discordant physician ratings were adjudicated by consensus. Based on record reviews, patients were also classified according to the American College of Rheumatology (ACR), Rome, and New York gout criteria and these results were compared with the physician global assessments.

Results

There were 121 patients rated as having probable/definite gout by physician consensus, leading to a positive predictive value of ≥2 coded diagnoses of gout of 61% (95% confidence interval 53–67). There was low concordance between physician assessments and established gout criteria including ACR, Rome, and New York criteria (κ = 0.17, 0.16, and 0.20, respectively).

Conclusion

Use of administrative data alone in epidemiologic and health services research on gout may lead to misclassification. Medical record reviews for validation of claims data may provide an inadequate gold standard to confirm gout diagnoses.

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