An approach to identifying incident breast cancer cases using Medicare claims data

Journal of Clinical Epidemiology

Volumn 53, Issue 6, 2000, Pages 605-614

  Freeman, Jean L ^a,b   Zhang, Dong ^b   Freeman Jr , Daniel H ^b   Goodwin, James S ^a  

^a UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

^b Office of Biostatistics and Epidemiology   (United States)

Author keywords

Breast neoplasms; Incidence; Medicare; Registries; Sensitivity and specificity

Indexed keywords

ARTICLE; BREAST CANCER; CANCER INCIDENCE; MEDICARE; PRIORITY JOURNAL; REGISTRATION; REGRESSION ANALYSIS; TECHNIQUE;

AGED; BREAST NEOPLASMS; FEMALE; HUMANS; INCIDENCE; INSURANCE CLAIM REPORTING; LOGISTIC MODELS; MEDICARE; ROC CURVE; SEER PROGRAM; UNITED STATES;

EID: 0034042848     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-4356(99)00173-0     Document Type: Article

References (47)

1. Roos L.L., Nicol J.P., Cageorge S.M. Using administrative data for longitudinal research. comparisons with primary data collection J Chronic Dis. 40:1987;41-49.
2. Wennberg J.E., Roos N., Sola L.et al. Use of claims data systems to evaluate health care outcomes. Mortality and re-operation following prostatectomy. JAMA. 257:1987;933-936.
3. Connell F.A., Diehr P., Hart L.G. The use of large data bases in health care studies. Annu Rev Public Health. 8:1987;51-74.
4. Bright R.A., Avorn J., Everitt D.E. Medicaid data as a resource for epidemiologic studies. strengths and limitations J Clin Epidemiol. 42:1989;937-945.
5. Ray W.A., Griffin M.R. Use of Medicaid data for pharmacoepidemiology. Am J Epidemiol. 129:1989;837-849.
6. Anderson G., Steinberg E.P., Whittle J.et al. Development of clinical and economic prognoses from Medicare claims data. JAMA. 263:1990;967-972.
7. Gerstman B.B., Lundin F.E., Stadel B.V.et al. A method of pharmacoepidemiologic analysis that uses computerized Medicaid. J Clin Epidemiol. 43:1990;1387-1393.
8. Ku L.M., Ellwood M.R., Klemm J. Deciphering Medicaid data. issues and needs Health Care Financing Rev. suppl.):1990;35-45.
9. Epstein M.H. Guest alliance. uses of state-level hospital discharge bases J AHIMA. 63:1992;32-37.
10. Hannan E.L., Kilburn H.et al. Clinical versus administrative data bases for CABG surgery. does it matter? Med Care. 30:1992;892-907.
11. Quam L., Ellis B.M., Venus P.et al. Using claims data for epidemiologic research. the concordance of claims-based criteria with the medical record and patient survey for identifying a hypertensive population Med Care. 31:1993;498-507.
12. Romano P.S. Can administrative data be used to compare the quality of health care? Med Care Rev. 50:1993;451-477.
13. Potosky A.L., Riley G.F., Lubitz J.D.et al. Potential for cancer related health services research using a linked Medicare-Tumor Registry data base. Med Care. 31:1993;732-747.
14. Romano P.S., Roos L.L., Luft H.S.et al. A comparison of administrative versus clinical data. coronary artery bypass surgery as an example J Clin Epidemiol. 47:1994;249-260.
15. Lave J.R., Pashos C.L., Anderson G.F.et al. Costing medical care. using Medicare administrative data Med Care. 32:1994;JS77-JS89.
16. Fowles J.B., Lawthers J.P.et al. Agreement between physicians' office records and Medicare Part B Claims data. Health Care Financing Rev. 16(4):1995;189-199.
17. Garnick D.W., Hendricks A.M., Comstock C.V.et al. A guide to using administrative data for medical effectiveness research. J Outcomes Manage. 3:1996;18-23.
18. Baron J.A., Lu-Yao G., Barrett J.et al. Internal validation of Medicare claims data. Epidemiology. 5:1994;541-544.
19. Ray W.A., Griffin M.R., Fought R.L.et al. Identification of fractures from computerized Medicare files. J Clin Epidemiol. 45:1992;703-714.
20. Whittle J., Steinberg E.P., Anderson G.F.et al. Accuracy of Medicare claims data for estimation of cancer incidence and resection rates among elderly Americans. Med Care. 29:1991;1226-1236.
21. McBean A.M., Warren J.L., Babish J.D. Measuring the incidence of cancer in elderly Americans using Medicare claims data. Cancer. 73:1994;2417-2425.
22. Warren J.L., Riley G.F., McBean A.M.et al. Use of Medicare data to identify incident breast cancer patients. Health Care Financing Rev. 18:1996;237-246.
23. McClish D.K., Penberthy L., Whittemore M.et al. Ability of Medicare claims data and cancer registries to identify cancer cases and treatment. Am J Epidemiol. 145:1997;227-233.
24. Nattinger A.B., Gottlieb M.S., Veum J.et al. Geographic variation in the use of breast-conserving treatment for breast cancer. N Engl J Med. 326:1992;1102-1107.
25. Ballard-Babash R., Potosky A.L., Harlan L.C.et al. Factors associated with surgical and radiation therapy for early stage breast cancer in older women. J Natl Cancer Inst. 88:1996;716-726.
26. Nattinger A.B., Gottlieb M.S., Hoffman R.G.et al. Minimal increase in use of breast-conserving surgery from 1986 to 1990. Med Care. 34(5):1996;479-489.
27. Du X., Freeman J.L., Goodwin J.S. The declining use of axillary dissection in patients with early stage breast cancer. Breast Cancer Res Treat. 53(2):1999;137-144.
28. Hillner B.E., Penberthy L., Desch C.E.et al. Variation in staging and treatment of local and regional breast cancer in the elderly. Breast Cancer Res Treat. 40:1996;75-86.
29. Kleinman J.C., Machlin S.R., Madans J.et al. Changing practice in the surgical treatment of breast cancer. Med Care. 21:1983;1232-1242.
30. Greenberg E.R., Stevens M. Recent trends in breast surgery in the United States and United Kingdom. BMJ. 292:1986;1487-1491.
31. Kahn L.H., Blustein J., Arons R.R.et al. The validity of hospital administrative data in monitoring variations in breast cancer surgery. Am J Public Health. 86:1996;243-245.
32. Riley G., Lubitz J., Prihoda R.et al. The use and costs of Medicare services by cause of death. Inquiry. 24:1987;233-244.
33. Riley G.F., Potosky A.L., Lubitz J.D.et al. Medicare payments from diagnosis to death for elderly cancer patients by stage at diagnosis. Med Care. 33:1995;828-841.
34. Baker M.S., Kessler L.G., Urban N.et al. Estimating the treatment costs of breast and lung cancer. Med Care. 29:1991;40-49.
35. Scotto J, Chiazze L. Third National Cancer Survey: Hospitalizations and Payments to Hospitals, Part A: Summary, Washington, DC: U.S. Department of Health, Education and Welfare, 1976. (DHEW Pub. No. (NIH) 76-1094).
36. Iezzoni L.I., Henderson M.G., Bergman A.et al. Purpose of admission and resource use during cancer hospitalizations. Health Care Financing Rev. 13:1991;29-40.
37. Munoz E., Chalfin D., Rosner F.et al. Hospital costs, cancer patients and medical diagnosis related groups. Oncology. 45:1988;401-404.
38. Munoz E., Chalfin D., Sterman H.et al. Hospital costs, cancer patients and surgical diagnostic related groups. J Surg Oncol. 41:1989;47-51.
39. Litvak S., Borrerro E., Katz R.et al. Early discharge of the post-mastectomy patient. unbundling of hospital services to improve profitability under DRGs Am Surg. 53:1987;577-579.
40. Fisher E.S., Whaley F.S., Krushat W.M.et al. The accuracy of Medicare's hospital claims data; progress has been made but problems remain. Am J Public Health. 82:1992;243-248.
41. Solin L.J., Legorreta A., Schultz D.J.et al. Analysis of a claims database for identification of patients with carcinoma of the breast. J Med Syst. 18:1994;23-32.
42. Reynolds T. Linked databases help researchers track costs, care patterns, outcomes. J Natl Cancer Inst. 86:1994;168-171.
43. Ries L.A.G., Kosary C.L., Hankey B.F.et al. SEER Cancer Statistics. Review, 1973-1994:1997;National Cancer Institute, Bethesda MD. (NIH Publication No. 97-2789).
44. Data Users Reference Guide. Washington, DC: Health Care Financing Administration. U. S. Department of Health and Human Services, 1995.
45. U.S. Public Health Service. International Classification of Diseases, 9th Revision, Clinical Modification, 5th edition. Los Angeles, CA: Practice Management Information Corporation.
46. Physicians' Current Procedural Terminology - CPT 94. Chicago: American Medical Association, 1993.
47. Stokes M.E., Davis C.E., Koch G.G. Categorical Data Analysis Using the SAS System. 1997;SAS Institute Inc, Cary.