Linking the US transplant registry to administrative claims data: Expanding the potential of transplant research

Medical Care

Volumn 45, Issue 6, 2007, Pages 529-536

  Gilmore, Amanda S ^a   Helderman, J Harold ^b   Ricci, Jean Francois ^c   Ryskina, Kira L ^a   Feng, Sandy ^d   Kang, Ning ^a   Legorreta, Antonio P ^e  

^a Health Benchmarks Inc   (United States)

^b VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NOVARTIS PHARMA AG   (Switzerland)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Administrative data; Databases; Transplantation

Indexed keywords

IMMUNOSUPPRESSIVE AGENT;

ADOLESCENT; ADULT; AGED; ARTICLE; CHILD; DRUG UTILIZATION; ECONOMICS; FACTUAL DATABASE; FEMALE; HOSPITAL ADMISSION; HUMAN; INFANT; INFORMATION PROCESSING; INSURANCE; MALE; METHODOLOGY; MIDDLE AGED; NEWBORN; ORGAN TRANSPLANTATION; PRESCHOOL CHILD; REGISTER; RESEARCH; SENSITIVITY AND SPECIFICITY; STATISTICS; TRANSPLANTATION; UNITED STATES;

ADOLESCENT; ADULT; AGED; CHILD; CHILD, PRESCHOOL; DATA COLLECTION; DATABASES, FACTUAL; DRUG UTILIZATION; FEMALE; HUMANS; IMMUNOSUPPRESSIVE AGENTS; INFANT; INFANT, NEWBORN; INSURANCE CLAIM REVIEW; MALE; MIDDLE AGED; ORGAN TRANSPLANTATION; REGISTRIES; RESEARCH; SENSITIVITY AND SPECIFICITY; TISSUE AND ORGAN PROCUREMENT; UNITED STATES; WAITING LISTS;

EID: 34249028506     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/MLR.0b013e3180326121     Document Type: Article

References (39)

1. OPTN/UNOS. About OPTN/History. 2003. Available at: http://www.optn.org/ optn/history.asp. Accessed August 11, 2005.
2. OPTN/UNOS. Profile. 2003. Available at: http://www.optn.org/optn/profile. asp. Accessed August 11, 2005.
3. OPTN/UNOS. Data: about data: Uses of data. 2003. Available at: http://www.optn.org/data/about/uses.asp. Accessed August 15, 2005.
4. Roberts IP, Nikolai B, Tomlanovich S. Cost of organ procurement and transplantation network data collection for a large transplant center. Am J Transplant. 2003;3:1316-1317.
5. Dickinson DM, Ellison MD, Webb RL. Data sources and structure. Am J Transplant. 2003;3(Suppl 4): 13-28.
6. Dickinson DM, Bryant PC, Williams MC, et al. Transplant data: sources, collection and caveats. Am J Transplant. 2004;4(Suppl 9): 13-26.
7. Cowper DC, Hynes DM, Kubal JD, et al. Using administrative databases for outcomes research: select examples from VA health services research and development. J Med Syst, 1999;23:249-259.
8. Virnig BA, McBean M. Administrative data for public health surveillance and planning. Anna Rev Public Health. 2001;22:213-230.
9. Romano PS. Can administrative data be used to compare the quality in health care? Med Care Res Rev. 1993;50:451-457.
10. HCFA. Research and analytic support for implementing performance measurement in Medicare fee-for-service. Available at: www.hcfa.gov.
11. Asch S, Sloss E, Hogan C, et al. Measuring underuse of necessary care among elderly Medicare beneficiaries using inpatient and outpatient claims. JAMA. 2000;284:2325-2333.
12. Ash A, Ellis R, Pope G, et al. Using diagnoses to describe populations and predict costs. Health Care Financ Rev. 2000;21:7-28.
13. Lohr KN. Use of insurance claims data in measuring quality of care. Int J Technol Assess Health Care. 1990;6:263-271.
14. Yen EF, Hardinger K, Brennan DC, et al. Cost-effectiveness of extending Medicare coverage of immunosuppresive medication to the life of a kidney transplant. Am J Transplant. 2004;4:1703-1708.
15. Chisholm M. Increasing medication access to transplant recipients. Clin Transplant. 2004;18:39-48.
16. Kasiske BL, Cohen D, Lucey MR, et al, for the American Society of Transplantation. Payment for immunosuppression after organ transplantation. JAMA. 2000;283:2445-2450.
17. Jara MM, Gallagher KM, Schieman S. Estimation of completeness of AIDS case reporting in Massachusetts. Epidemiology. 2000;11:209-213.
18. Doebbeling BN, Wyant DK, McCoy KD, et al. Linked insurance-tumor registry database for health services research. Med Care. 1999;37:1105-1115.
19. Du X, Freeman JL, Warren JL, et al. Accuracy and completeness of Medicare claims data for surgical treatment of breast cancer. Med Care. 2000;38:719-727.
20. Kim SP, Feinglass J, Bennett CL, et al. Merging claims databases with a tumor registry to evaluate variations in cancer mortality: results from a pilot study of 698 colorectal cancer patients treated at one hospital in the 1990s. Cancer Invest. 2004;22:225-233.
21. Potosky AL, Riley GF, Lubitz JD, et al. Potential for cancer related health services research using a linked Medicare-tumor registry database. Med Care. 1993;31:732-748.
22. Warren JL, Klabunde CN, Schrag D, et al. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002;40(8 Suppl):IV-3-18.
23. Kaiser Family Foundation. Health insurance coverage in America, 2003 data update. November 2004, Table 1, p 28. Available at: http:// www.kff.org/uninsured/7153. cfm.
24. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613-619.
25. Hebert PL, Geiss LS, Tierney EF, et al. Identifying persons with diabetes using Medicare claims data. Am J Med Qual. 1999;14:270-277.
26. Ray GT, Collin F, Lieu T, et al. The cost of health conditions in a health maintenance organization. Med Care Res Rev. 2000; 57:92-109.
27. Schneeweiss S, Seeger JD, Maclure M, et al. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol. 2001;154:854-864.
28. Perkins A, Kroenke K, Unutzer J, et al. Common comorbidity scales were similar in their ability to predict health care costs and mortality. J Clin Epidemiol. 2004;57:1040-1048.
29. Iezzoni L, ed. Risk Adjustment for Measuring Health Care Outcomes. 3rd ed. Chicago, IL: Health Administration Press; 2003.
30. Rosner B. Fundamental of Biostatistics. 5th ed. Belmont, CA: Duxbury Press; 2000.
31. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-174.
32. Manning W, Newhouse J, Duan N, et al. Health insurance and the demand for medical care: evidence from a randomized experiment. Am Econ Rev. 1987;77:251-277.
33. Smith DG, Scanion DP. Covered lives in PPOs. Med Care Res Rev. 2001;58:16-33.
34. Jollis J, Ancukiewicz M, DeLong E, et al. Discordance of databases designed for claims payment versus clinical information systems. Ann Intern Med. 1993;119:844-850.
35. Ayanian JZ. Using administrative data to access health care outcomes. Eur Heart J. 1999;20:1689-1691.
36. How good are the data? USRDS data validation special study. Am J Kidney Dis. 1992;20(5 Suppl 2):68-83.
37. Romano PS, Roos LL, Luft HS, et al. A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. J Clin Epidemiol. 1994;47:249-260.
38. Baron JA, Lu-Yao G, Barrett J, et al. Internal validation of Medicare claims data. Epidemiology. 1994;5:541-544.
39. O'Malley K, Cook K, Price M, et al. Measuring diagnoses: ICD code accuracy. Health Serv Res. 2005;40(5 Pt 2):1620-1639.