Secondary data analysis of large data sets in urology: Successes and errors to avoid

Journal of Urology

Volumn 191, Issue 3, 2014, Pages 587-596

  Schlomer, Bruce J ^a   Copp, Hillary L ^b  

^a TEXAS CHILDREN S HOSPITAL   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

outcome assessment; research design

Indexed keywords

OUTCOME ASSESSMENT; RESEARCH DESIGN;

BIOMEDICAL RESEARCH; DATA INTERPRETATION, STATISTICAL; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); PERIODICALS AS TOPIC; PUBLISHING; UROLOGY;

EID: 84893868589     PISSN: 00225347     EISSN: 15273792     Source Type: Journal    
DOI: 10.1016/j.juro.2013.09.091     Document Type: Review

References (29)

1. A.E. Best Secondary data bases and their use in outcomes research: a review of the area resource file and the Healthcare Cost and Utilization Project J Med Syst 23 1999 175
2. D.D. Terris, D.G. Litaker, and S.M. Koroukian Health state information derived from secondary databases is affected by multiple sources of bias J Clin Epidemiol 60 2007 734
3. N.J. Lewis, J.T. Patwell, and B.A. Briesacher The role of insurance claims databases in drug therapy outcomes research Pharmacoeconomics 4 1993 323
4. J.E. Wennberg, N. Roos, and L. Sola et al. Use of claims data systems to evaluate health care outcomes. Mortality and reoperation following prostatectomy JAMA 257 1987 933
5. U. Guller Surgical outcomes research based on administrative data: inferior or complementary to prospective randomized clinical trials? World J Surg 30 2006 255
6. G.A. Porter, and J.M. Skibber Outcomes research in surgical oncology Ann Surg Oncol 7 2000 367
7. J.H. Yiee, and H.L. Copp Database research in pediatric urology Curr Opin Urol 21 2011 309
8. A.K. Smith, J.Z. Ayanian, and K.E. Covinsky et al. Conducting high-value secondary dataset analysis: an introductory guide and resources J Gen Intern Med 26 2011 920
9. H.A. Khwaja, H. Syed, and D.W. Cranston Coding errors: a comparative analysis of hospital and prospectively collected departmental data BJU Int 89 2002 178
10. D.A. Southern, B. Roberts, and A. Edwards et al. Validity of administrative data claim-based methods for identifying individuals with diabetes at a population level Can J Public Health 101 2010 61
11. M.C. Wang, P.W. Laud, and M. Macias et al. Strengths and limitations of International Classification of Disease Ninth Revision Clinical Modification codes in defining cervical spine surgery Spine (Phila Pa 1976) 36 2011 E38
12. P. Tanpowpong, S. Broder-Fingert, and J.C. Obuch et al. Multicenter study on the value of ICD-9-CM codes for case identification of celiac disease Ann Epidemiol 23 2013 136
13. M.K. Tollefson, M.T. Gettman, and R.J. Karnes et al. Administrative data sets are inaccurate for assessing functional outcomes after radical prostatectomy J Urol 185 2011 1686
14. HCUP Databases. Healthcare Cost and Utilization Project (HCUP). July 2013. Agency for Healthcare Research and Quality. Available at www.hcup-us.ahrq.gov/databases.jsp. Accessed September 15, 2013.
15. R.L. Houchens, and A. Elixhauser Using the HCUP Nationwide Inpatient Sample to Estimate Trends (updated for 1988-2004). HCUP Methods Series Report #2006-05 Online 2006 U.S. Agency for Healthcare Research and Quality Rockville, Maryland
16. R. Houchens, B. Chu, and C. Steiner Hierarchical Modeling using HCUP Data. HCUP Methods Series Report #2007-01 Online 2007 U.S. Agency for Healthcare Research and Quality Rockville, Maryland
17. National Health and Nutrition Examination Survey 1999-2012 Survey Content Brochure 2012 National Center for Health Statistics Atlanta, Georgia
18. D.P. Lubeck, M.S. Litwin, and J.M. Henning et al. The CaPSURE database: a methodology for clinical practice and research in prostate cancer. CaPSURE Research Panel. Cancer of the Prostate Strategic Urologic Research Endeavor Urology 48 1996 773
19. H.J. Tan, E.C. Norton, and Z. Ye et al. Long-term survival following partial vs radical nephrectomy among older patients with early-stage kidney cancer JAMA 307 2012 1629
20. B.L. Jacobs, Y. Zhang, and F.R. Schroeck et al. Use of advanced treatment technologies among men at low risk of dying from prostate cancer JAMA 309 2013 2587
21. S.L. Chang, L.C. Harshman, and J.C. Presti Jr. Impact of common medications on serum total prostate-specific antigen levels: analysis of the National Health and Nutrition Examination Survey J Clin Oncol 28 2010 3951
22. K.S. Choe, J.E. Cowan, and J.M. Chan et al. Aspirin use and the risk of prostate cancer mortality in men treated with prostatectomy or radiotherapy J Clin Oncol 30 2012 3540
23. S.P. Elliott, S.L. Jarosek, and T.J. Wilt et al. Reduction in physician reimbursement and use of hormone therapy in prostate cancer J Natl Cancer Inst 102 2010 1826
24. H.Y. Yu, N.D. Hevelone, and S.R. Lipsitz et al. Comparative analysis of outcomes and costs following open radical cystectomy versus robot-assisted laparoscopic radical cystectomy: results from the US Nationwide Inpatient Sample Eur Urol 61 2012 1239
25. J.D. Sammon, K.R. Ghani, and P.I. Karakiewicz et al. Temporal trends, practice patterns, and treatment outcomes for infected upper urinary tract stones in the United States Eur Urol 64 2013 85
26. H.L. Copp, D.J. Shapiro, and A.L. Hersh National ambulatory antibiotic prescribing patterns for pediatric urinary tract infection, 1998-2007 Pediatrics 127 2011 1027
27. J.L. Gore, J. Lai, and C.M. Setodji et al. Mortality increases when radical cystectomy is delayed more than 12 weeks: results from a Surveillance, Epidemiology, and End Results-Medicare analysis Cancer 115 2009 988
28. J.M. Hollingsworth, J.D. Birkmeyer, and Y.S. Zhang et al. Imaging use among employed and self-employed urologists J Urol 184 2010 2480
29. P.J. Kokorowski, J.D. Routh, and D.A. Graham et al. Variations in timing of surgery among boys who underwent orchiopexy for cryptorchidism Pediatrics 126 2010 e576