Breaking Down Hospital Costs for Selected Medical Conditions in Canada

World Hospitals and Health Services: The Official Journal of the International Hospital Federation, Vol. 45 No. 3, 2009

Posted: 25 Sep 2010 Last revised: 29 Sep 2010

See all articles by Ruolz Ariste

Ruolz Ariste

Université Laval; Université du Quebec en Outaouais (UQO)

Daniela Panait

Government of Canada - Health Canada

Marc Lalonde

Canadian Institute for Health Information

Date Written: July 21, 2009

Abstract

Understanding the components of hospital costs is an important policy tool for analyzing total hospital spending or for budget planning. The objective of this study is to estimate the average cost per stay and number of stays for male and female acute care inpatients for the 15 most expensive medical conditions, and to determine whether there is a gender difference in the share of cost due to co-morbidities. Regression analysis is used to account for gender and complexity, a proxy for co-morbidities. Our findings suggest on average each male inpatient costs 9.7% more to treat than a female inpatient.

Keywords: Hospital costs, Gender, Comorbidity

JEL Classification: I10, C13

Suggested Citation

Ariste, Ruolz and Panait, Daniela and Lalonde, Marc, Breaking Down Hospital Costs for Selected Medical Conditions in Canada (July 21, 2009). World Hospitals and Health Services: The Official Journal of the International Hospital Federation, Vol. 45 No. 3, 2009. Available at SSRN: https://ssrn.com/abstract=1682097

Ruolz Ariste (Contact Author)

Université Laval

2214 Pavillon J-A. DeSeve
Quebec, Quebec G1K 7P4
Canada

Université du Quebec en Outaouais (UQO) ( email )

Case postale 1250
succursale Hull
Gatineau, Québec J8X 3X7
Canada

Daniela Panait

Government of Canada - Health Canada ( email )

200 Eglantine Driveway
Ottawa, Ontario K1A 0K9
Canada

Marc Lalonde

Canadian Institute for Health Information ( email )

495 Richmond Road, Suite 600
Ottawa, Ontario K2A 4H6
Canada

Register to save articles to
your library

Register

Paper statistics

Abstract Views
633
PlumX Metrics