TY - JOUR
T1 - Multifactor efficiency in Data Envelopment Analysis with an application to urban hospitals
AU - O'Neill, Liam
PY - 1998/1/1
Y1 - 1998/1/1
N2 - A perennial difficulty in measuring hospital efficiency, and one with important policy implications, is how to compare teaching versus non-teaching hospitals. This problem reflects a broader methodological concern in Data Envelopment Analysis (DEA), which is the comparison of specialist and non-specialist Decision-Making Units (DMUs). This paper presents a new performance measure in DEA, termed multifactor efficiency, which represents an average partial factor productivity index summed over all output-input ratios. We apply this technique to measure the performance of 27 large, urban hospitals, including 13 teaching hospitals. These results were reviewed and validated by a panel of health care experts, and multifactor efficiency was shown to offer several benefits that enhance and complement existing performance measures in DEA.
AB - A perennial difficulty in measuring hospital efficiency, and one with important policy implications, is how to compare teaching versus non-teaching hospitals. This problem reflects a broader methodological concern in Data Envelopment Analysis (DEA), which is the comparison of specialist and non-specialist Decision-Making Units (DMUs). This paper presents a new performance measure in DEA, termed multifactor efficiency, which represents an average partial factor productivity index summed over all output-input ratios. We apply this technique to measure the performance of 27 large, urban hospitals, including 13 teaching hospitals. These results were reviewed and validated by a panel of health care experts, and multifactor efficiency was shown to offer several benefits that enhance and complement existing performance measures in DEA.
UR - http://www.scopus.com/inward/record.url?scp=0032148837&partnerID=8YFLogxK
U2 - 10.1023/A:1019030215768
DO - 10.1023/A:1019030215768
M3 - Article
C2 - 10916581
AN - SCOPUS:0032148837
VL - 1
SP - 19
EP - 27
JO - Health Care Management Science
JF - Health Care Management Science
SN - 1386-9620
IS - 1
ER -