Literature DB >> 1405795

Clinical versus administrative data bases for CABG surgery. Does it matter?

E L Hannan1, H Kilburn, M L Lindsey, R Lewis.   

Abstract

This study compared the ability of a clinical and administrative data base in New York State to predict in-hospital mortality and to assess hospital performance for coronary artery bypass graft surgery. The results indicated that the clinical data base, the Cardiac Surgery Reporting System, is substantially better at predicting case-specific mortality than the administrative data base, the Statewide Planning and Research Cooperative System. Also, correlations between hospital mortality rates that are risk-adjusted using the two systems were only moderately high (0.75 to 0.80). The addition of new risk factors from the Statewide Planning and Research Cooperative System improved the predictive power of both systems but did not diminish the difference in effectiveness of the two systems. The three unique clinical risk factors in the Cardiac Surgery Reporting System (ejection fraction, reoperation, and more than 90% narrowing of the left main trunk) seemed to account for much of the difference in effectiveness of the two systems.

Mesh:

Year:  1992        PMID: 1405795     DOI: 10.1097/00005650-199210000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  35 in total

Review 1.  Administrative data based patient safety research: a critical review.

Authors:  C Zhan; M R Miller
Journal:  Qual Saf Health Care       Date:  2003-12

2.  Improved comorbidity adjustment for predicting mortality in Medicare populations.

Authors:  Sebastian Schneeweiss; Philip S Wang; Jerry Avorn; Robert J Glynn
Journal:  Health Serv Res       Date:  2003-08       Impact factor: 3.402

Review 3.  Identifying complications and low provider adherence to normative practices using administrative data.

Authors:  D H Kuykendall; C M Ashton; M L Johnson; J M Geraci
Journal:  Health Serv Res       Date:  1995-10       Impact factor: 3.402

4.  Coronary artery bypass grafting in Canada: hospital mortality rates, 1992-1995.

Authors:  W A Ghali; H Quan; R Brant
Journal:  CMAJ       Date:  1998-10-20       Impact factor: 8.262

5.  Coronary artery bypass grafting in Canada: national and provincial mortality trends, 1992-1995.

Authors:  W A Ghali; H Quan; R Brant
Journal:  CMAJ       Date:  1998-07-14       Impact factor: 8.262

Review 6.  How severity measures rate hospitalized patients.

Authors:  J S Hughes; L I Iezzoni; J Daley; L Greenberg
Journal:  J Gen Intern Med       Date:  1996-05       Impact factor: 5.128

7.  Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough?

Authors:  E L Hannan; M J Racz; J G Jollis; E D Peterson
Journal:  Health Serv Res       Date:  1997-02       Impact factor: 3.402

8.  Diagnostic cost groups (DCGs) and concurrent utilization among patients with substance abuse disorders.

Authors:  Amy K Rosen; Susan A Loveland; Jennifer J Anderson; Cheryl S Hankin; James N Breckenridge; Dan R Berlowitz
Journal:  Health Serv Res       Date:  2002-08       Impact factor: 3.402

9.  Fee-based care is important for access to prompt treatment of hip fractures among veterans.

Authors:  Kelly K Richardson; Peter Cram; Mary Vaughan-Sarrazin; Peter J Kaboli
Journal:  Clin Orthop Relat Res       Date:  2013-01-16       Impact factor: 4.176

10.  Acute myocardial infarction and coronary artery bypass grafting outcomes in specialty and general hospitals: analysis of state inpatient data.

Authors:  Peter Cram; Levent Bayman; Joanna Popescu; Mary S Vaughan-Sarrazin
Journal:  Health Serv Res       Date:  2009-12-04       Impact factor: 3.402

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