Literature DB >> 8998202

Assessment of coronary artery bypass graft surgery performance in New York. Is there a bias against taking high-risk patients?

E L Hannan1, A L Siu, D Kumar, M Racz, D B Pryor, M R Chassin.   

Abstract

OBJECTIVES: The purpose of this study was to determine whether performing coronary artery bypass surgery on high-risk patients adversely affects the risk-adjusted mortality rates for patients of surgeons and hospitals in New York State compared with the impact of performing surgery on more routine patients.
METHODS: Risk-adjusted mortality-rates were calculated for 31 hospitals and 87 surgeons for high-risk (a predicted mortality rate of at least 7.5%) and low-risk patients during the time period 1990 to 1992.
RESULTS: The risk-adjusted mortality for all high-risk patients was lower (2.94%) than the risk-adjusted mortality for other patients (3.02%). Fifteen of the 31 hospitals had a lower risk-adjusted mortality for all patients than they did for low-risk patients only, and no differences in either direction were statistically significant. Forty-one of 87 surgeons (47%) had risk-adjusted mortality for all patients that was at least as low as the risk-adjusted mortality for low-risk patients. In general, hospitals and surgeons with the lowest risk-adjusted mortality for all cases also had the lowest risk-adjusted mortality for high-risk cases.
CONCLUSIONS: The authors conclude that there is no systematic bias against operating on high-risk coronary artery bypass graft patients in the risk-adjusted performance system in New York.

Entities:  

Mesh:

Year:  1997        PMID: 8998202     DOI: 10.1097/00005650-199701000-00004

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


  11 in total

1.  Primary care in the United States: profiling performance in primary care in the United States.

Authors:  Norbert Goldfield; Shamini Gnani; Azeem Majeed
Journal:  BMJ       Date:  2003-04-05

2.  Use of prolonged travel to improve pediatric risk-adjustment models.

Authors:  Scott A Lorch; Jeffrey H Silber; Orit Even-Shoshan; Andrea Millman
Journal:  Health Serv Res       Date:  2008-12-30       Impact factor: 3.402

3.  SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting in-hospital mortality in a Chinese population.

Authors:  Zhe Zheng; Lu Zhang; Xi Li; Shengshou Hu
Journal:  Front Med       Date:  2013-09-18       Impact factor: 4.592

4.  The impact of high-risk cases on hospitals' risk-adjusted coronary artery bypass grafting mortality rankings.

Authors:  Brian R Englum; Paramita Saha-Chaudhuri; David M Shahian; Sean M O'Brien; J Matthew Brennan; Fred H Edwards; Eric D Peterson
Journal:  Ann Thorac Surg       Date:  2015-01-09       Impact factor: 4.330

5.  Current quality reporting methods are not adequate for salvage cardiac operations.

Authors:  William Z Chancellor; J Hunter Mehaffey; Jared P Beller; Elizabeth D Krebs; Robert B Hawkins; Kenan Yount; Clifford E Fonner; Alan M Speir; Mohammed A Quader; Jeffrey B Rich; Leora T Yarboro; Nicholas R Teman; Gorav Ailawadi
Journal:  J Thorac Cardiovasc Surg       Date:  2019-01-26       Impact factor: 5.209

6.  Has the publication of cardiac surgery outcome data been associated with changes in practice in northwest England: an analysis of 25,730 patients undergoing CABG surgery under 30 surgeons over eight years.

Authors:  Ben Bridgewater; Antony D Grayson; Nicholas Brooks; Geir Grotte; Brian M Fabri; John Au; Tim Hooper; Mark Jones; Bruce Keogh
Journal:  Heart       Date:  2007-01-19       Impact factor: 5.994

7.  Mortality data in adult cardiac surgery for named surgeons: retrospective examination of prospectively collected data on coronary artery surgery and aortic valve replacement.

Authors:  Ben Bridgewater
Journal:  BMJ       Date:  2005-03-05

Review 8.  Risk assessment methods for cardiac surgery and intervention.

Authors:  Nassir M Thalji; Rakesh M Suri; Kevin L Greason; Hartzell V Schaff
Journal:  Nat Rev Cardiol       Date:  2014-09-23       Impact factor: 32.419

9.  Disclosure of individual surgeon's performance rates during informed consent: ethical and epistemological considerations.

Authors:  Ingrid Burger; Kathryn Schill; Steven Goodman
Journal:  Ann Surg       Date:  2007-04       Impact factor: 12.969

10.  A preoperative mortality risk assessment model for Stanford type A acute aortic dissection.

Authors:  Juntao Kuang; Jue Yang; Qiuji Wang; Changjiang Yu; Ying Li; Ruixin Fan
Journal:  BMC Cardiovasc Disord       Date:  2020-12-03       Impact factor: 2.298

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.