Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 1999;99:2067-2069

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Krumholz, H. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Krumholz, H. M.
Related Collections
Right arrow Health policy and outcome research

(Circulation. 1999;99:2067-2069.)
© 1999 American Heart Association, Inc.


Editorials

Mathematical Models and the Assessment of Performance in Cardiology

Harlan M. Krumholz, MD

From the Section of Cardiovascular Medicine, Department of Medicine, and the Section of Chronic Disease Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Conn; the Yale-New Haven Hospital Center for Outcomes Research and Evaluation, New Haven, Conn; and Qualidigm, Middletown, Conn.


Key Words: Editorials • risk factors • bypass

We have entered a new era of medicine, in which physicians are no longer granted an assumption of excellence. Studies have demonstrated marked variability in the practice of medicine1 and revealed abundant opportunities for improvement in the care of patients. These studies have accentuated the pressure exerted by payers and the public on the profession to assume greater responsibility for delivering high-quality care.

In this era of accountability, ratings and rankings proliferate as the public and payers seek information about the performance of physicians, hospitals, and health plans. The consequences of these rankings can be profound as marketing departments and the popular press seize the results. Hospitals ranked highly tend to tout their status in advertisements, whereas those with less favorable ratings hope to avoid being identified as hazards.

The interest in rankings is particularly strong in cardiovascular medicine. Cardiovascular diagnoses represent a substantial proportion of high-volume and high-cost admissions to hospitals. Statewide and national efforts have focused on institution- and physician-specific outcomes after cardiovascular procedures and acute myocardial infarction.2 3 In several areas, such as bypass surgery, mortality rates are the most common basis for quality-of-care rankings. In New York, bypass surgery ratings of individual surgeons based on mortality rates4 are highly publicized in the press. Studies suggest that these public ratings have stimulated improvements in the care and outcomes of patients, although the evidence is indirect.5

Because patients are not randomly allocated to different physicians or hospitals, the comparison of outcomes among various sites is challenging. Differences in referral . . . [Full Text of this Article]




This article has been cited by other articles:


Home page
J. Thorac. Cardiovasc. Surg.Home page
C. Reid, B. Billah, D. Dinh, J. Smith, P. Skillington, M. Yii, S. Seevanayagam, M. Mohajeri, and G. Shardey
An Australian risk prediction model for 30-day mortality after isolated coronary artery bypass: The AusSCORE
J. Thorac. Cardiovasc. Surg., October 1, 2009; 138(4): 904 - 910.
[Abstract] [Full Text] [PDF]


Home page
Arch Intern MedHome page
S. D. Culler, A. W. Simon, P. P. Brown, A. D. Kugelmass, M. R. Reynolds, and K. J. Rask
Sex Differences in Hospital Risk-Adjusted Mortality Rates for Medicare Beneficiaries Undergoing CABG Surgery
Arch Intern Med, November 24, 2008; 168(21): 2317 - 2322.
[Abstract] [Full Text] [PDF]


Home page
Ann. Thorac. Surg.Home page
D. M. Shahian, E. H. Blackstone, F. H. Edwards, F. L. Grover, G. L. Grunkemeier, D. C. Naftel, S. A.M. Nashef, W. C. Nugent, and E. D. Peterson
Cardiac Surgery Risk Models: A Position Article
Ann. Thorac. Surg., November 1, 2004; 78(5): 1868 - 1877.
[Abstract] [Full Text] [PDF]


Home page
Ann. Thorac. Surg.Home page
D. M. Shahian, S.-L. Normand, D. F. Torchiana, S. M. Lewis, J. O. Pastore, R. E. Kuntz, and P. I. Dreyer
Cardiac surgery report cards: comprehensive review and statistical critique
Ann. Thorac. Surg., December 1, 2001; 72(6): 2155 - 2168.
[Abstract] [Full Text] [PDF]


Home page
Eur Heart JHome page
R Marchioli, F Avanzini, F Barzi, C Chieffo, A Di Castelnuovo, M.G Franzosi, E Geraci, A.P Maggioni, R.M Marfisi, N Mininni, et al.
Assessment of absolute risk of death after myocardial infarction by use of multiple-risk-factor assessment equations; GISSI-Prevenzione mortality risk chart
Eur. Heart J., November 2, 2001; 22(22): 2085 - 2103.
[Abstract] [PDF]


Home page
Eur. J. Cardiothorac. Surg.Home page
O. Pitkanen, M. Niskanen, S. Rehnberg, M. Hippelainen, and M. Hynynen
Intra-institutional prediction of outcome after cardiac surgery: comparison between a locally derived model and the EuroSCORE
Eur. J. Cardiothorac. Surg., December 1, 2000; 18(6): 703 - 710.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
E. W. Steyerberg, J. Ivanov, J. V. Tu, C. D. Naylor, and H. M. Krumholz
Ranking of Surgical Performance Response Response
Circulation, August 29, 2000; 102 (9): e61 - e62.
[Full Text] [PDF]