Literature DB >> 8114213

Improving the outcomes of coronary artery bypass surgery in New York State.

E L Hannan1, H Kilburn, M Racz, E Shields, M R Chassin.   

Abstract

OBJECTIVE: To assess changes in outcomes of coronary artery bypass graft (CABG) surgery in New York since 1989, when the State Department of Health began collecting, analyzing, and disseminating information regarding risk factors, mortality, and complications of CABG surgery. These new data stimulated specific quality improvement activities at hospitals throughout the state.
DESIGN: A clinical database was used to identify significant independent risk factors and to assess risk-adjusted provider mortality rates.
SETTING: All 30 hospitals performing CABG surgery in New York during the period 1989 through 1992. PATIENTS: All 57,187 patients undergoing isolated CABG surgery who were discharged from New York State hospitals in 1989 through 1992. MAIN OUTCOME MEASURES: Actual, expected (from a logistic regression model), and risk-adjusted in-hospital mortality.
RESULTS: Actual mortality decreased from 3.52% in 1989 to 2.78% in 1992. Because average patient severity of illness increased, risk-adjusted mortality decreased even more--a decrease of 41% from 4.17% in 1989 to 2.45% in 1992. The risk-adjustment model performed well; there were no clinically or statistically significant differences between actual and predicted numbers of deaths at any of 10 levels of patient severity.
CONCLUSIONS: We believe that this quality improvement program, based on the collection and dissemination of risk-adjusted mortality data for CABG surgery, played a significant role in the observed decline in the death rate from this procedure. Quality improvement programs based on similar principles for other procedures and conditions should be undertaken.

Entities:  

Mesh:

Year:  1994        PMID: 8114213

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  93 in total

1.  Learning from differences within the NHS. Clinical indicators should be used to learn, not to judge.

Authors:  A G Mulley
Journal:  BMJ       Date:  1999-08-28

2.  Time to go public on performance?

Authors:  M N Marshall
Journal:  Br J Gen Pract       Date:  1999-09       Impact factor: 5.386

3.  Do quality report cards play a role in HMOs' contracting practices? Evidence from New York State.

Authors:  D B Mukamel; A I Mushlin; D Weimer; J Zwanziger; T Parker; I Indridason
Journal:  Health Serv Res       Date:  2000-04       Impact factor: 3.402

4.  Public disclosure of performance data: learning from the US experience.

Authors:  M N Marshall; P G Shekelle; S Leatherman; R H Brook
Journal:  Qual Health Care       Date:  2000-03

5.  Performance league tables: the NHS deserves better.

Authors:  Peymané Adab; Andrew M Rouse; Mohammed A Mohammed; Tom Marshall
Journal:  BMJ       Date:  2002-01-12

6.  Problems for clinical judgement: 4. Surviving in the report card era.

Authors:  J V Tu; M J Schull; L E Ferris; J E Hux; D A Redelmeier
Journal:  CMAJ       Date:  2001-06-12       Impact factor: 8.262

7.  A case study of hospital closure and centralization of coronary revascularization procedures.

Authors:  B R Hemmelgarn; W A Ghali; H Quan
Journal:  CMAJ       Date:  2001-05-15       Impact factor: 8.262

8.  Publicly disclosed information about the quality of health care: response of the US public.

Authors:  E C Schneider; T Lieberman
Journal:  Qual Health Care       Date:  2001-06

Review 9.  Volume of clinical activity in hospitals and healthcare outcomes, costs, and patient access.

Authors:  A Sowden; V Aletras; M Place; N Rice; A Eastwood; R Grilli; B Ferguson; J Posnett; T Sheldon
Journal:  Qual Health Care       Date:  1997-06

10.  Hospital mortality league tables.

Authors:  Bobbie Jacobson; Jenny Mindell; Martin McKee
Journal:  BMJ       Date:  2003-04-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.