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
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of Clinical EpidemiologyAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. Ischemic Heart Disease Patient Outcomes Research Team.J Clin Epidemiol. 1994; 47: 249-260
- Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database.J Gen Intern Med. 1999; 14: 555-558
- Patient characteristics that affect the outcome of total hip arthroplasty: a review.Can J Surg. 1998; 41: 188-195
- Accuracy of administrative data in trauma: splenic injuries as an example.J Trauma. 2000; 49 (discussion 686–8): 679-686
- Evaluating the predictive value of osteoarthritis diagnoses in an administrative database.Arthritis Rheum. 2000; 43: 1881-1885
- Sensitivity and positive predictive value of Medicare Part B physician claims for rheumatologic diagnoses and procedures.Arthritis Rheum. 1997; 40: 1594-1600
- Total hip and total knee replacement (1).N Engl J Med. 1990; 323: 725-731
- Association between hospital and surgeon procedure volume and outcomes of total hip replacement in the United States medicare population.J Bone Joint Surg Am. 2001; 83-A: 1622-1629
- Association of hospital and surgeon volume of total hip replacement with functional status and satisfaction three years following surgery.Arthritis Rheum. 2003; (in press)
- St. Anthony's ICD-9-CM code book for physician payment. Vols 1 and 2. St. Anthony Publishing, Alexandria, VA1993
- Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee.J Rheumatol. 1988; 15: 1833-1840
- Modern epidemiology. 2nd edition. Lippincott Williams & Wilkins, 1998 (p. 737)
- Biostatistical analysis. 4th ed. Prentice Hall, Englewood Cliffs, NJ1998 (p. 929)
- The accuracy of Medicare's Hospital Claims Data: progress has been made but problems remain.Am J Public Health. 1992; 82: 243-248
- Technology assessment using insurance claims. Example of prostatectomy.Int J Technol Assess Health Care. 1990; 6: 194-202
- Comparing clinical information with claims data: some similarities and differences.J Clin Epidemiol. 1991; 44: 881-888
- Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality?.JAMA. 1992; 267: 2197-2203
Article info
Publication history
Accepted:
January 17,
2003
Received in revised form:
December 31,
2002
Received:
October 6,
2002
Identification
Copyright
© 2003 Elsevier Inc. Published by Elsevier Inc. All rights reserved.