SSRN Home Search and Download Papers Browse Abstract and Paper Submission Subscribe to Networks View Briefcase Top Papers Top Authors Top Institutions

 

Abstract

 
 

References (8)

Beta

 
 

Citations (1)

Beta

 


 



Can Ranking Hospitals on the Basis of Patients' Travel Distances Improve Quality of Care?

Daniel P. Kessler
Stanford Graduate School of Business; National Bureau of Economic Research (NBER)


June 2005

NBER Working Paper No. W11419

Abstract:     
Conventional outcomes report cards - public disclosure of information about the patient-background-adjusted health outcomes of individual hospitals and physicians - may help improve quality, but they may also encourage providers to 'game' the system by avoiding sick and/or seeking healthy patients. In this paper, I propose an alternative approach: ranking hospitals on the basis of the travel distances of their Medicare patients. At least in theory, a distance report card could dominate conventional outcomes report cards: a distance report card might measure quality of care at least as well but suffer less from selection problems. I use data on elderly Medicare beneficiaries with heart attack and stroke from 1994 and 1999 to show that a distance report card would be both valid - that is, correlated with true quality - and able to distinguish confidently among hospitals - that is, able to reject at conventional significance levels the hypothesis that the true quality of a low-ranked hospital was the same as the quality of the average hospital. The hypothetical distance report card I propose compares favorably to (although does not necessarily dominate) the California AMI outcomes report card.

JEL Classifications: I1

Working Paper Series

Date posted: July 06, 2005 ; Last revised: July 06, 2005

Contact Information

Daniel Philip Kessler (Contact Author)
Stanford Graduate School of Business ( email )
518 Memorial Way
Stanford, CA 94305-5015
United States
650-723-4492 (Phone)
650-725-6152 (Fax)

National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 181
Downloads: 17
References: 8
Citations: 1

© 2009 Social Science Electronic Publishing, Inc. All Rights Reserved. Terms of Use  Privacy Policy
This page was served by apollo4 in 0.094 seconds.