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

30 Pages Posted: 6 Jul 2005 Last revised: 15 Sep 2010

See all articles by Daniel P. Kessler

Daniel P. Kessler

Stanford Graduate School of Business; National Bureau of Economic Research (NBER)

Date Written: June 2005


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.

Suggested Citation

Kessler, Daniel Philip, Can Ranking Hospitals on the Basis of Patients' Travel Distances Improve Quality of Care? (June 2005). NBER Working Paper No. w11419, Available at SSRN:

Daniel Philip Kessler (Contact Author)

Stanford Graduate School of Business ( email )

655 Knight 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

Here is the Coronavirus
related research on SSRN

Paper statistics

Abstract Views
PlumX Metrics