PDF herunterladen
Clin Colon Rectal Surg 2013; 26(01): 005-011
DOI: 10.1055/s-0033-1333627
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Working with Existing Databases

Melissa Murphy
1   Department of Colon and Rectal Surgery, University of Massachusetts Medical School, Worcester, Massachusetts
,
Karim Alavi
1   Department of Colon and Rectal Surgery, University of Massachusetts Medical School, Worcester, Massachusetts
,
Justin Maykel
1   Department of Colon and Rectal Surgery, University of Massachusetts Medical School, Worcester, Massachusetts
› Institutsangaben
Weitere Informationen

Publikationsverlauf

Publikationsdatum:
04. März 2013 (online)

Auch verfügbar auf
    Lizenzen und Reprints

Abstract

Outcomes research has established itself as an integral part of surgical research as physicians and hospitals are increasingly required to demonstrate attainment of performance markers and surgical safety indicators. Large-volume and clinical and administrative databases are used to study regional practice pattern variations, health care disparities, and resource utilization. Understanding the unique strengths and limitations of these large databases is critical to performing quality surgical outcomes research. In the current work, we review the currently available large-volume databases including selection processes, modes of analyses, data application, and limitations.

Keywords

outcomes - databases - administrative - research
 

  • References

  • 1 Rhodes RS, Biester TW. Certification and maintenance of certification in surgery. Surg Clin North Am 2007; 87 (4) 825-836 , vi
    CrossrefPubMedSuche in Google Scholar
  • 2 Birkmeyer JD, Shahian DM, Dimick JB , et al. Blueprint for a new American College of Surgeons: National Surgical Quality Improvement Program. J Am Coll Surg 2008; 207 (5) 777-782
    CrossrefPubMedSuche in Google Scholar
  • 3 Birkmeyer NJ, Birkmeyer JD. Strategies for improving surgical quality—should payers reward excellence or effort?. N Engl J Med 2006; 354 (8) 864-870
    CrossrefPubMedSuche in Google Scholar
  • 4 Morris AM, Wei Y, Birkmeyer NJ, Birkmeyer JD. Racial disparities in late survival after rectal cancer surgery. J Am Coll Surg 2006; 203 (6) 787-794
    CrossrefPubMedSuche in Google Scholar
  • 5 Purves H, Pietrobon R, Hervey S, Guller U, Miller W, Ludwig K. Relationship between surgeon caseload and sphincter preservation in patients with rectal cancer. Dis Colon Rectum 2005; 48 (2) 195-202 , discussion 202–204
    CrossrefPubMedSuche in Google Scholar
  • 6 Deyo RA, Taylor VM, Diehr P , et al. Analysis of automated administrative and survey databases to study patterns and outcomes of care. Spine (Phila Pa 1976) 1994; 19 (18, Suppl) 2083S-2091S
    CrossrefPubMedSuche in Google Scholar
  • 7 Abdullah F, Ortega G, Islam S , et al. Outcomes research in pediatric surgery. Part 1: overview and resources. J Pediatr Surg 2011; 46 (1) 221-225
    CrossrefPubMedSuche in Google Scholar
  • 8 Greenblatt DY, Rajamanickam V, Pugely AJ, Heise CP, Foley EF, Kennedy GD. Short-term outcomes after laparoscopic-assisted proctectomy for rectal cancer: results from the ACS NSQIP. J Am Coll Surg 2011; 212 (5) 844-854
    CrossrefPubMedSuche in Google Scholar
  • 9 Schrag D, Panageas KS, Riedel E , et al. Surgeon volume compared to hospital volume as a predictor of outcome following primary colon cancer resection. J Surg Oncol 2003; 83 (2) 68-78 , discussion 78–79
    CrossrefPubMedSuche in Google Scholar
  • 10 Begg CB, Cramer LD, Hoskins WJ, Brennan MF. Impact of hospital volume on operative mortality for major cancer surgery. JAMA 1998; 280 (20) 1747-1751
    CrossrefPubMedSuche in Google Scholar
  • 11 Motheral BR, Fairman KA. The use of claims databases for outcomes research: rationale, challenges, and strategies. Clin Ther 1997; 19 (2) 346-366
    CrossrefPubMedSuche in Google Scholar
  • 12 Cohen ME, Bilimoria KY, Ko CY, Hall BL. Development of an American College of Surgeons National Surgery Quality Improvement Program: morbidity and mortality risk calculator for colorectal surgery. J Am Coll Surg 2009; 208 (6) 1009-1016
    CrossrefPubMedSuche in Google Scholar
  • 13 Chang DC, Talamini MA. A review for clinical outcomes research: hypothesis generation, data strategy, and hypothesis-driven statistical analysis. Surg Endosc 2011; 25 (7) 2254-2260
    CrossrefPubMedSuche in Google Scholar
  • 14 Jollis JG, Ancukiewicz M, DeLong ER, Pryor DB, Muhlbaier LH, Mark DB. Discordance of databases designed for claims payment versus clinical information systems. Implications for outcomes research. Ann Intern Med 1993; 119 (8) 844-850
    CrossrefPubMedSuche in Google Scholar
  • 15 Cooper GS, Yuan Z, Stange KC, Dennis LK, Amini SB, Rimm AA. Agreement of Medicare claims and tumor registry data for assessment of cancer-related treatment. Med Care 2000; 38 (4) 411-421
    CrossrefPubMedSuche in Google Scholar
  • 16 Best WR, Khuri SF, Phelan M , et al. Identifying patient preoperative risk factors and postoperative adverse events in administrative databases: results from the Department of Veterans Affairs National Surgical Quality Improvement Program. J Am Coll Surg 2002; 194 (3) 257-266
    CrossrefPubMedSuche in Google Scholar
  • 17 Fisher ES, Baron JA, Malenka DJ, Barrett J, Bubolz TA. Overcoming potential pitfalls in the use of Medicare data for epidemiologic research. Am J Public Health 1990; 80 (12) 1487-1490
    CrossrefPubMedSuche in Google Scholar
  • 18 Medicaid Available at: http://www.medicaid.gov/Medicaid-CHIP-Program-Information/By-Population/By-Population.html . Accessed May 29, 2012
    PubMed
  • 19 Research Data Assistance Center (ResDAC) Available at: http://www.resdac.org . Accessed May 29, 2012
    PubMed
  • 20 Healthcare Cost and Utilization Project (HCUP) Overview of HCUP: Available at: http://www.hcup-us.ahrq.gov/overview.jsp . Accessed May 29, 2012
    PubMed
  • 21 Weiss JM, Pfau PR, O'Connor ES , et al. Mortality by stage for right- versus left-sided colon cancer: analysis of surveillance, epidemiology, and end results—Medicare data. J Clin Oncol 2011; 29 (33) 4401-4409
    CrossrefPubMedSuche in Google Scholar
  • 22 Surveillance Epidemiology and End Results (SEER) Available at: http://seer.cancer.gov/about/overview.html . Accessed May 30, 2012
    PubMed
  • 23 SEER*Stat Available at: http://seer.cancer.gov/seerstat/ . Accessed May 29, 2012
    PubMed
  • 24 Ozhathil DK, Li Y, Smith JK , et al. Colectomy performance improvement within NSQIP 2005-2008. J Surg Res 2011; 171 (1) e9-e13
    CrossrefPubMedSuche in Google Scholar