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

Journal of Clinical Epidemiology

Volumn 56, Issue 6, 2003, Pages 515-519

  Losina, Elena ^a,b   Barrett, Jane ^c,d   Baron, John A ^c,d   Katz, Jeffrey N ^b  

^a BOSTON UNIVERSITY SCHOOL OF PUBLIC HEALTH   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c DARTMOUTH MEDICAL SCHOOL   (United States)

^d Biostatistics and Epidemiology   (United States)

Author keywords

Administrative data; Health outcomes research; Hospital procedure volume; Misclassification bias; Sensitivity; Total hip replacement

Indexed keywords

ACCURACY; ADMINISTRATIVE PERSONNEL; ARTICLE; AVASCULAR NECROSIS; CONTROLLED STUDY; DATA ANALYSIS; DOCUMENT EXAMINATION; HUMAN; MEDICAL DOCUMENTATION; MEDICAL RECORD; MEDICAL RESEARCH; MEDICARE; OSTEOARTHRITIS; PREDICTION; PRIORITY JOURNAL; RHEUMATIC DISEASE; RHEUMATOID ARTHRITIS; STANDARD; TOTAL HIP PROSTHESIS;

EID: 0037827161     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-4356(03)00056-8     Document Type: Article

References (17)

1. Romano P.S., Roos L.L., Luft H.S., Jollis J.G., Doliszny K. A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. Ischemic Heart Disease Patient Outcomes Research Team. J Clin Epidemiol. 47:(3):1994;249-260.
2. Petersen L.A., Wright S., Normand S.L., Daley J. Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database. J Gen Intern Med. 14:(9):1999;555-558.
3. Young N.L., Cheah D., Waddell J.P., Wright J.G. Patient characteristics that affect the outcome of total hip arthroplasty: a review. Can J Surg. 41:(3):1998;188-195.
4. Hunt J.P., Cherr G.S., Hunter C., Wright M.J., Wang Y.Z., Steeb G., et al. Accuracy of administrative data in trauma: splenic injuries as an example. J Trauma. 49:(4):2000;679-686. discussion 686-8.
5. Harrold L.R., Yood R.A., Andrade S.E., Reed J.J., Cernieux J., Straus W., et al. Evaluating the predictive value of osteoarthritis diagnoses in an administrative database. Arthritis Rheum. 43:(8):2000;1881-1885.
6. Katz J.N., Barrett J., Liang M.H., Bacon A.M., Kaplan H., Kieval R.I., et al. Sensitivity and positive predictive value of Medicare Part B physician claims for rheumatologic diagnoses and procedures. Arthritis Rheum. 40:(9):1997;1594-1600.
7. Harris W.H., Sledge C.B. Total hip and total knee replacement (1). N Engl J Med. 323:(11):1990;725-731.
8. Katz J.N., Losina E., Barrett J., Phillips C.B., Mahomed N.N., Lew R.A., et al. Association between hospital and surgeon procedure volume and outcomes of total hip replacement in the United States medicare population. J Bone Joint Surg Am. 83-A:(11):2001;1622-1629.
9. Katz J.N., Phillips C.B., Fossel A.H., Mahomed N.N., Barrett J.A., Lingard E.A., et al. Association of hospital and surgeon volume of total hip replacement with functional status and satisfaction three years following surgery. Arthritis Rheum. 2003;. in press.
10. St. Anthony's ICD-9-CM code book for physician payment. Vols 1 and 2:1993;St. Anthony Publishing, Alexandria, VA.
11. Bellamy N., Buchanan W.W., Goldsmith C.H., Campbell J., Stitt L.W. 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. 15:(12):1988;1833-1840.
12. Rothman K.J., Greenland S. Modern epidemiology. 2nd edition :1998;Lippincott Williams & Wilkins. p. 737.
13. Zar J.H. Biostatistical analysis. 4th ed :1998;Prentice Hall, Englewood Cliffs, NJ. p. 929.
14. Fisher E., Whaley F.S., Krushat W.M., Malenka D.J., Fleming C., Baron J.A., Hsia D.C. The accuracy of Medicare's Hospital Claims Data: progress has been made but problems remain. Am J Public Health. 82:1992;243-248.
15. Fisher E.S., Malenka D.J., Wennberg J.E., Roos N.P. Technology assessment using insurance claims. Example of prostatectomy. Int J Technol Assess Health Care. 6:(2):1990;194-202.
16. Roos L.L., Sharp S.M., Cohen M.M. Comparing clinical information with claims data: some similarities and differences. J Clin Epidemiol. 44:(9):1991;881-888.
17. Iezzoni L.I., Foley S.M., Daley J., Hughes J., Fisher E.S., Heeren T. Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality? JAMA. 267:(16):1992;2197-2203.