Literature DB >> 8675279

Judging hospitals by severity-adjusted mortality rates: the case of CABG surgery.

B Landon1, L I Iezzoni, A S Ash, M Shwartz, J Daley, J S Hughes, Y D Mackiernan.   

Abstract

In many health care marketplaces, outcomes assessment is central to monitoring quality while controlling costs. Comparing outcomes across providers generally requires adjustment for patient severity. For mortality rates and other adverse outcomes comparisons, severity adjustment ideally aims to control for patient characteristics prior to the health care intervention. A variety of severity methodologies, specifically for hospitalized patients, are commercially available. Some have been adopted by state or regional initiatives for publicly comparing hospital outcomes. We applied 14 common severity measures to the same data set to determine whether judgments about risk-adjusted hospital death rates are sensitive to the specific severity method. We examined 7,765 patients undergoing coronary artery bypass graft (CABG) surgery at 38 hospitals. Unadjusted death rates ranged from 0% to 11.2% across hospitals. Comparisons of relative hospital performance were relatively insensitive to the severity adjustment method.

Entities:  

Mesh:

Year:  1996        PMID: 8675279

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  14 in total

1.  Resource utilization related to atrial fibrillation after coronary artery bypass grafting.

Authors:  Marilyn Hravnak; Leslie A Hoffman; Melissa I Saul; Thomas G Zullo; Gayle R Whitman
Journal:  Am J Crit Care       Date:  2002-05       Impact factor: 2.228

2.  Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Authors:  Jacob V Spertus; Sharon-Lise T Normand; Robert Wolf; Matt Cioffi; Ann Lovett; Sherri Rose
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-11-08

3.  Risk adjusting cesarean delivery rates: a comparison of hospital profiles based on medical record and birth certificate data.

Authors:  D L DiGiuseppe; D C Aron; S M Payne; R J Snow; L Dierker; G E Rosenthal
Journal:  Health Serv Res       Date:  2001-10       Impact factor: 3.402

4.  Joint modeling of sensitivity and specificity.

Authors:  Gavino Puggioni; Alan E Gelfand; Joann G Elmore
Journal:  Stat Med       Date:  2008-05-10       Impact factor: 2.373

5.  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

6.  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 7.  [Experiences of an Initiative Qualitätsmedizin reviewer].

Authors:  G Popken
Journal:  Urologe A       Date:  2019-10       Impact factor: 0.639

8.  Coronary artery bypass grafting in Native Americans: a higher risk of death compared to other ethnic groups?

Authors:  B K Nallamothu; S Saint; S Saha; A M Fendrick; K Kelley; S D Ramsey
Journal:  J Gen Intern Med       Date:  2001-08       Impact factor: 5.128

9.  Insurance type and choice of hospital for coronary artery bypass graft surgery.

Authors:  M Chernew; D Scanlon; R Hayward
Journal:  Health Serv Res       Date:  1998-08       Impact factor: 3.402

10.  Analyzing center specific outcomes in hematopoietic cell transplantation.

Authors:  Brent R Logan; Gene O Nelson; John P Klein
Journal:  Lifetime Data Anal       Date:  2008-10-03       Impact factor: 1.588

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