The hazards of using administrative data to measure surgical quality

American Surgeon

Volumn 72, Issue 11, 2006, Pages 1031-1037

  Fry, Donald E ^a   Pine, Michael B ^a,b   Jordan, Harmon S ^c   Hoaglin, David C ^c   Jones, Barbara ^a   Meimban, Roger ^a  

^a Michael Pine and Associates   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c ABT ASSOCIATES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BILLING AND CLAIMS; CLINICAL ASSESSMENT; CONFERENCE PAPER; CRANIOTOMY; ELECTIVE SURGERY; HEALTH CARE QUALITY; HOSPITAL ADMISSION; HOSPITAL PATIENT; HUMAN; LABORATORY TEST; MAJOR CLINICAL STUDY; POSTOPERATIVE COMPLICATION; RISK MANAGEMENT; SEPSIS; STATISTICAL MODEL; SURGERY; SURGICAL MORTALITY; SURGICAL RISK; TREATMENT OUTCOME; VITAL SIGN; ADULT; AGED; ARTICLE; CLINICAL TRIAL; HOSPITAL; METHODOLOGY; MIDDLE AGED; MORTALITY; MULTICENTER STUDY; PROPORTIONAL HAZARDS MODEL; RETROSPECTIVE STUDY; RISK ASSESSMENT; STANDARD; STATISTICS; UNITED STATES;

ADULT; AGED, 80 AND OVER; HOSPITAL MORTALITY; HOSPITALS; HUMANS; MIDDLE AGED; PENNSYLVANIA; PROPORTIONAL HAZARDS MODELS; QUALITY ASSURANCE, HEALTH CARE; RETROSPECTIVE STUDIES; RISK ASSESSMENT; SURGICAL PROCEDURES, OPERATIVE;

EID: 39049175664     PISSN: 00031348     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (15)

1. Jones RS, Brown C, Opelka F. Surgeon compensation: "Pay for performance," the American College of Surgeons National Surgical Quality Improvement Program, the Surgical Care Improvement Program, and other considerations. Surgery 2005;138:829-36.
2. Robinowitz DL, Dudley RA. Public reporting of provider performance: can its impact be made greater? Annu Rev Public Health 2006;27:517-36.
3. Culver DH, Horan TC, Gaynes RP, et al. Surgical wound infection rates by wound class, operative procedure and patient risk index. Am J Med 1991;91(Suppl 3B):152S-7S.
4. Cziraky MJ, Willey VJ, McKenney JM, et al. Statin safety: an assessment using an administrative claims database. Am J Cardiol 2006;97:61C-8C.
5. Margolis J, Barron JJ, Grochulski WD. Health care resources and costs for treating peripheral artery disease in a managed care population: results from analysis of administrative claims data. J Manag Care Pharm 2005;11:727-34.
6. Aronsky D, Haug PJ, Lagor C, Dean NC. Accuracy of administrative data for identifying patients with pneumonia. Am J Med Qual 2005;20:319-28.
7. Bozic KJ, Durbhakula S, Berry DJ, et al. Differences in patient and procedure characteristics and hospital resources use in primary and revision total joint arthroplasty: a multicenter study. J Arthroplasty 2005;20(Suppl):17-25.
8. Wright SB, Huskins WC, Dokholyan RS, et al. Administrative databases provide inaccurate data for surveillance of long-term central venous catheter-associated infections. Infect Control Hosp Epidemiol 2003;24:946-9.
9. Klabunde CN, Warren JL, Legler JM. Assessing comorbidity using claims data: an overview. Med Care 2002;40(Suppl):IV-26-35.
10. National Uniform Billing Committee: NUBC announces approval of UB-04. www.nubc.org/INFORMATION_ON_UB-04.pdf. Accessed September 2006.
11. Agency for Healthcare Research and Quality: Inpatient quality indicators download. www.qualityindicator.ahrq.gov/iqi_overview.htm. Accessed September 2006.
12. Agency for Healthcare Research and Quality: Patient safety indicators download. www.qualityindicator.ahrq.gov/psi_overview.htm. Accessed September 2006.
13. Pine M, Norusis M, Jones B, Rosenthal GE. Predictions of hospital mortality rates: a comparison of data sources. Ann Intern Med 1997;126:347-54.
14. Pine M, Jones B, Lou Y-B. Laboratory values improve predictions of hospital mortality. Internat J Qual Health Care 1998;10:491-501.
15. Moscucci M, Eagle KA, Share D, et al. Public reporting and case selection for percutaneous coronary interventions: an analysis from two large multicenter percutaneous coronary intervention databases. J Am Coll Cardiol 2005;45:1759-65.