Performance of hospital services in Ontario: DEA with truncated regression approach

Chowdhury, Hedayet and Zelenyuk, Valentin (2015) Performance of hospital services in Ontario: DEA with truncated regression approach. Omega, 63 111-122. doi:10.1016/j.omega.2015.10.007

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Author Chowdhury, Hedayet
Zelenyuk, Valentin
Title Performance of hospital services in Ontario: DEA with truncated regression approach
Journal name Omega   Check publisher's open access policy
ISSN 0305-0483
1873-5274
Publication date 2015-10-20
Sub-type Article (original research)
DOI 10.1016/j.omega.2015.10.007
Open Access Status File (Author Post-print)
Volume 63
Start page 111
End page 122
Total pages 12
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Subject 1408 Strategy and Management
1803 Management Science and Operations Research
1802 Information Systems and Management
Abstract In this work, we analyze production performance of hospital services in Ontario (Canada), by investigating its key determinants. Using data for the years 2003 and 2006, we follow the two-stage approach of Simar and Wilson (2007) [76]. Specifically, we use Data Envelopment Analysis (DEA) at the first stage to estimate efficiency scores and then use truncated regression estimation with double-bootstrap to test the significance of explanatory variables. We also examine distributions of efficiency across geographic locations, size and teaching status. We find that several organizational factors such as occupancy rate, rate of unit-producing personnel, outpatient–inpatient ratio, case-mix index, geographic locations, size and teaching status are significant determinants of efficiency.
Formatted abstract
In this work, we analyze production performance of hospital services in Ontario (Canada), by investigating its key determinants. Using data for the years 2003 and 2006, we follow the two-stage approach of Simar and Wilson (2007) [76]. Specifically, we use Data Envelopment Analysis (DEA) at the first stage to estimate efficiency scores and then use truncated regression estimation with double-bootstrap to test the significance of explanatory variables. We also examine distributions of efficiency across geographic locations, size and teaching status. We find that several organizational factors such as occupancy rate, rate of unit-producing personnel, outpatient–inpatient ratio, case-mix index, geographic locations, size and teaching status are significant determinants of efficiency.
Keyword Hospital efficiency
DEA
Distributional analysis
Truncated regression
Bootstrap
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Economics Publications
 
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