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A Literature Review to Assess the Use of Claims Databases in Identifying Incident Cancer Cases

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Abstract

Background: Claims databases that include standardized medical and administrative information routinely collected on patients are becoming increasingly prevalent in many industrialized countries. Some of them have a national scope and are an efficient source of information on large heterogeneous patient populations. These databases can help to describe cancer incidence in the absence of national cancer registries. A literature review was performed to describe the use of these databases to identify incident cancer cases.

Methods: References (1990 and 2000) were extracted from MEDLINE. A final selection of the articles to be analyzed was made by appraising the references using defined criteria.

Results: Most of the studies retrieved were based on the Medicare databases. Identification of new cases was based on the detection of cancer diagnosis codes or on the finding of cancer-specific diagnosis and procedure codes. The standards used to evaluate identification were either cancer registries or medical records. Evaluation was based on comparison of incidence rates or carried out on a person-level basis according to a cross-linkage of claims and standard databases. Only studies that reported sensitivity and specificity for identification were able to define the best compromise between a high identification rate and a low false positive rate. These studies were based on breast cancer and reported sensitivity and specificity varying from 75 to 90% and from 99.75 to 99.86%, respectively.

Conclusions: Identification methods can be used to obtain an accurate number of incident cancer cases if an appropriate statistical method is applied. We proposed a method that take into account lack of sensitivity and specificity.

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References

  1. Boyko, E.J., Koepsell, T.D., Gaziano, J.M., Horner, R.D., and Feussner, J.R., “US department of veterans affairs medical care system as a resource to epidemiologists,” Am. J. Epidemiol. 151(3), 307–314, 2000.

    Google Scholar 

  2. Bright, R.A., Avorn, J., and Everitt, D.E., “Medicaid data as a resource for epidemiologic studies: Strengths and limitations,” J. Clin. Epidemiol. 42(10), 937–945, 1989.

    Google Scholar 

  3. Colin, C., Ecochard, R., Delahaye, F., Landrivon, G., Messy, P., Morgon, E., and Matillon, Y., “Data quality in a DRG-based information system,” Int. J. Qual. Health. Care 6(3), 275–280, 1994.

    Google Scholar 

  4. Cooper, G.S., Yuan, Z., Stange, K.C., Amini, S.B., Dennis, L.K., and Rimm, A.A., “The utility of Medicare claims data for measuring cancer stage,” Med. Care 37(7), 706–711, 1999.

    Google Scholar 

  5. Cooper, G.S., Yuan, Z., Stange, K.C., Dennis, L.K., Amini, S.B., and Rimm, A.A., “The sensitivity of Medicare claims data for case ascertainment of six common cancers,” Med. Care 37(5), 436–444, 1999.

    Google Scholar 

  6. Cooper, G.S., Yuan, Z., Stange, K.C., Dennis, L.K., Amini, S.B., and Rimm, A.A., “Agreement of Medicare claims and tumor registry data for assessment of cancer-related treatment,” Med. Care 38(4), 411–421, 2000.

    Google Scholar 

  7. Couris, C.M., Colin, C., Rabilloud, M., Schott, A.M., and Ecochard, R., “Method of correction to assess the number of hospitalized incident breast cancer cases based on claims databases,” J. Clin. Epidemiol. 55(4), 386–391, 2002.

    Google Scholar 

  8. Doebbeling, B.N., Wyant, D.K., McCoy, K.D., Riggs, S., Woolson, R.F., Wagner, D., Wilson, R.T., and Lynch, C.F., “Linked insurance-tumor registry database for health services research,” Med. Care 37(11), 1105–1115, 1999.

    Google Scholar 

  9. Du, X., Freeman, J.L., and Goodwin, J.S., “Information on radiation treatment in patients with breast cancer: The advantages of the linked medicare and SEER data. Surveillance, epidemiology and end results,” J. Clin. Epidemiol. 52(5), 463–470, 1999.

    Google Scholar 

  10. Du, X., Freeman, J.L., Warren, J.L., Nattinger, A.B., Zhang, D., and Goodwin, J.S., “Accuracy and completeness of Medicare claims data for surgical treatment of breast cancer,” Med. Care 38(7), 719–727, 2000.

    Google Scholar 

  11. Dussaucy, A., Viel, J.F., Mulin, B., and Euvrard, J., “The framework prospective payment information systems: Bias, sources of errors and consequences,” Rev. Epidemiol. Santé. Publique 42(4), 345–358, 1994.

    Google Scholar 

  12. Fetter, R.B., “Diagnosis related groups: The product of the hospital,” Clin. Res. 32(3), 336–340, 1984.

    Google Scholar 

  13. Fisher, E.S., Baron, J.A., Malenka, D.J., Barrett, J., and Bubolz, T.A., “Overcoming potential pitfalls in the use of Medicare data for epidemiologic research,” Am. J. Public Health 80(12), 1487–1490, 1990.

    Google Scholar 

  14. Fisher, E.S., Whaley, F.S., Krushat, W.M., Malenka, D.J., Fleming, C., Baron, J.A., and Hsia, D.C., “The accuracy of Medicare's hospital claims data: Progress has been made, but problems remain,” Am. J. Public Health 82(2), 243–248, 1992.

    Google Scholar 

  15. Freeman, J.L., Zhang, D., Freeman, D.H., and Goodwin, J.S., “An approach to identifying incident breast cancer cases using Medicare claims data,” J. Clin. Epidemiol. 53(6), 605–614, 2000.

    Google Scholar 

  16. Johansson, L.A. and Westerling, R., “Comparing Swedish hospital discharge records with death certificates: Implications for mortality statistics,” Int. J. Epidemiol. 29(3), 495–502, 2000.

    Google Scholar 

  17. Kahn, L.H., Blustein, J., Arons, R.R., Yee, R., and Shea, S., “The validity of hospital administrative data in monitoring variations in breast cancer surgery,” Am. J. Public Health 86(2), 243–245, 1996.

    Google Scholar 

  18. Kashner, T.M., “Agreement between administrative files and written medical records:Acase of the Department of Veterans Affairs,” Med. Care 36(9), 1324–1336, 1998.

    Google Scholar 

  19. Leung, K.M., Hasan, A.G., Rees, K.S., Parker, R.G., and Legorreta, A.P., “Patients with newly diagnosed carcinoma of the breast: Validation of a claim-based identification algorithm,” J. Clin. Epidemiol. 52(1), 57–64, 1999.

    Google Scholar 

  20. Librero, J., Peiro, S., and Ordinana R., “Chronic comorbidity and outcomes of hospital care: Length of stay, mortality, and readmission at 30 and 365 days,” J. Clin. Epidemiol. 52(3), 171–179, 1999.

    Google Scholar 

  21. Lombrail, P., Minvielle, E., Comar, L., and Gottot S., “Prospective payment information systems and epidemiology: A difficult link to establish,” Rev. Epidemiol. Sante Publique 42(4), 334–344, 1994.

    Google Scholar 

  22. Lu-Yao, G.L., Potosky, A.L., Albertsen, P.C., Wasson, J.H., Barry M.J., and Wennberg J.E., “Follow-up prostate cancer treatments after radical prostatectomy: A population-based study,” J. Natl. Cancer Inst. 88(3–4), 166–173, 1996.

    Google Scholar 

  23. MacLennan, R., “Items of patients information which may be collected by registries,” in Cancer registration: Principles and methods. (O. Jensen, D. Parkin, R. MacLennan, C. Muir, and R. Skeet, eds.), IARC Scientific publications ed. Lyon, IARC, vol. 95, pp. 43–63, 1991.

    Google Scholar 

  24. McBean, A.M., Babish, J.D., and Warren, J.L., “Determination of lung cancer incidence in the elderly using Medicare claims data,” Am. J. Epidemiol. 137(2), 226–234, 1993.

    Google Scholar 

  25. McBean, A.M., Warren, J.L., and Babish, J.D., “Measuring the incidence of cancer in elderly Americans using Medicare claims data,” Cancer 73(9), 2417–2425, 1994.

    Google Scholar 

  26. McClish, D.K., Penberthy, L., Whittemore, M., Newschaffer, C., Woolard, D., Desch, C.E., and Retchin, S., “Ability of Medicare claims data and cancer registries to identify cancer cases and treatment,” Am. J. Epidemiol. 145(3), 227–233, 1997.

    Google Scholar 

  27. Ménégoz, F., Black, R.J., Arveux, P., Magne, V., Ferlay, J., Buemi, A., Carli, P.M., Chapelain, G., Faivre, J., Gignoux, M., Grosclaude, P., Mace-Lesec'h, J., Raverdy, N., and Schaffer, P., “Cancer incidence and mortality in France in 1975-95,” Eur. J. Cancer Prev. 6(5), 442–466, 1997.

    Google Scholar 

  28. Mitchell, J.B., Bubolz, T., Paul, J.E., Pashos, C.L., Escarce, J.J., Muhlbaier, L.H., Wiesman, J.M., Young, W.W., Epstein, R.S., and Javitt, J.C., “Using Medicare claims for outcomes research,” Med. Care 32(7 Suppl), JS38–JS51, 1994.

    Google Scholar 

  29. Nattinger, A.B., Gottlieb, M.S., Veum, J., Yahnke, D., and Goodwin, J.S., “Geographic variation in the use of breast-conserving treatment for breast cancer,” N. Engl. J. Med. 326(17), 1102–1107, 1992.

    Google Scholar 

  30. Parkin, D.M., Pisani, P., and Ferlay, J., “Estimates of the worldwide incidence of 25 major cancers in 1990,” Int. J. Cancer 80(6), 827–841, 1999.

    Google Scholar 

  31. Quantin, C., Dusserre, L., Foucher, P., Allaert, F.A., Metral, P., Bernard, A., Roignot, P., and Coudert, B., “Proposition m´ethodologique pour l'utilisation du PMSI dans le suivi des cancers bronchiques,” Santé. Publique. 6, 16–25, 1993.

    Google Scholar 

  32. Riley, G.F., Potosky, A.L., Klabunde, C.N., Warren, J.L., and Ballard-Barbash, R., “Stage at diagnosis and treatment patterns among older women with breast cancer: An HMO and fee-for-service comparison,” Jama 281(8), 720–726, 1999.

    Google Scholar 

  33. Rodrigues, J., Trombert-Paviot, B., Mennerat, F., and Rusch, P., “Les systèmes DGR en Europe et dans le monde,” Hospitalisation Nouvelle 229, 16–19, 1995.

    Google Scholar 

  34. Roos, L.L., Mustard, C.A., Nicol, J.P., McLerran, D.F., Malenka, D.J., Young, T.K., and Cohen, M.M., “Registries and administrative data: Organization and accuracy,” Med. Care 31(3), 201–212, 1993.

    Google Scholar 

  35. Simonato, L., Zambon, P., Rodella, S., Giordano, R., Guzzinati, S., Stocco, C., Tognazzo, S., and Winkelmann, R., “A computerised cancer registration network in the Veneto region, north-east of Italy: A pilot study,” Br. J. Cancer 73(11), 1436–1439, 1996.

    Google Scholar 

  36. Solin, L.J., Legorreta, A., Schultz, D.J., Levin, H.A., Zatz, S., and Goodman, R.L., “Analysis of a claims database for the identification of patients with carcinoma of the breast,” J. Med. Syst. 18(1), 23–32, 1994.

    Google Scholar 

  37. Solin, L.J., MacPherson, S., Schultz, D.J., and Hanchak N.A., “Evaluation of an algorithm to identify women with carcinoma of the breast,” J. Med. Syst. 21(3), 189–199, 1997.

    Google Scholar 

  38. Stang, A., Glynn, R.J., Gann, P.H., Taylor, J.O., and Hennekens, C.H., “Cancer occurrence in the elderly: Agreement between three major data sources,” Ann Epidemiol. 9(1), 60–67, 1999.

    Google Scholar 

  39. Vergnon, P., Morgon, E., Dargent, S., Benyamine, D., Favre, M., Perrot, L., Pradat, E., and Colin, C., “Quality assessment of the medical information on the standardized discharge summary,” Rev. Epidemiol. Sante Publique 46(1), 24–33, 1998.

    Google Scholar 

  40. Wang, P.S., Walker, A.M., Tsuang, M.T., Orav, E.J., Levin, R., and Avorn, J., “Finding incident breast cancer cases through US claims data and a state cancer registry,” Cancer Causes Control 12(3), 257–265, 2001.

    Google Scholar 

  41. Warren, J.L., Feuer, E., Potosky, A.L., Riley, G.F., and Lynch, C.F., “Use of Medicare hospital and physician data to assess breast cancer incidence,” Med. Care 37(5), 445–456, 1999.

    Google Scholar 

  42. Warren, J.L., Riley, G.F., McBean, A.M., and Hakim, R., “Use of Medicare data to identify incident breast cancer cases,” Health Care Financ. Rev. 18(1), 237–246, 1996.

    Google Scholar 

  43. Warren, J.L., Riley, G.F., Potosky, A.L., Klabunde, C.N., Richter, E., and Ballard-Barbash, R., “Trends and outcomes of outpatient mastectomy in elderly women,” J. Natl. Cancer Inst. 90(11), 833–840, 1998.

    Google Scholar 

  44. Whittle, J., Steinberg, E.P., Anderson, G.F., and Herbert, R., “Accuracy ofMedicare claims data for estimation of cancer incidence and resection rates among elderly Americans,” Med. Care 29(12), 1226–1236, 1991.

    Google Scholar 

  45. Whittle, J., Steinberg, E.P., Anderson, G.F., and Herbert, R., “Use of Medicare claims data to evaluate outcomes in elderly patients undergoing lung resection for lung cancer,” Chest. 100(3), 729–734, 1991.

    Google Scholar 

  46. Whittle, J., Steinberg, E.P., Anderson, G.F., and Herbert, R., “Results of colectomy in elderly patients with colon cancer, based on Medicare claims data,” Am. J. Surg. 163(6), 572–576, 1992.

    Google Scholar 

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Correspondence to Chantal M. Couris.

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Couris, C.M., Schott, AM., Ecochard, R. et al. A Literature Review to Assess the Use of Claims Databases in Identifying Incident Cancer Cases. Health Services & Outcomes Research Methodology 4, 49–63 (2003). https://doi.org/10.1023/A:1025828911298

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