Home > Research > Publications & Outputs > The measurement of efficiency and productivity ...
View graph of relations

The measurement of efficiency and productivity of health care delivery

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

The measurement of efficiency and productivity of health care delivery. / Hollingsworth, Bruce.
In: Health Economics, Vol. 17, No. 10, 10.2008, p. 1107-1128.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Hollingsworth B. The measurement of efficiency and productivity of health care delivery. Health Economics. 2008 Oct;17(10):1107-1128. doi: 10.1002/hec.1391

Author

Hollingsworth, Bruce. / The measurement of efficiency and productivity of health care delivery. In: Health Economics. 2008 ; Vol. 17, No. 10. pp. 1107-1128.

Bibtex

@article{1e942013af4443e18cf89de6d1fabb77,
title = "The measurement of efficiency and productivity of health care delivery",
abstract = "The measurement of efficiency and productivity of health service delivery has become a small industry. This is a review of 317 published papers on frontier efficiency measurement. The techniques used are mainly based on non-parametric data envelopment analysis, but there is increasing use of parametric techniques, such as stochastic frontier analysis. Applications to hospitals and other health care organizations and areas are reviewed and summarised, and some meta-type analysis undertaken. Cautious conclusions are that public provision may be potentially more efficient than private, in certain settings. The paper also considers conceptualizations of efficiency, and points to dangers and opportunities in generating such information. Finally, some criteria for assessing the use and usefulness of efficiency studies are established, with a view to helping both researchers and those assessing whether or not to act upon published results.",
keywords = "efficiency measurement, productivity , health care , parametric , non-parametric , stochastic frontiers , data envelopment analysis",
author = "Bruce Hollingsworth",
year = "2008",
month = oct,
doi = "10.1002/hec.1391",
language = "English",
volume = "17",
pages = "1107--1128",
journal = "Health Economics",
issn = "1057-9230",
publisher = "John Wiley and Sons Ltd",
number = "10",

}

RIS

TY - JOUR

T1 - The measurement of efficiency and productivity of health care delivery

AU - Hollingsworth, Bruce

PY - 2008/10

Y1 - 2008/10

N2 - The measurement of efficiency and productivity of health service delivery has become a small industry. This is a review of 317 published papers on frontier efficiency measurement. The techniques used are mainly based on non-parametric data envelopment analysis, but there is increasing use of parametric techniques, such as stochastic frontier analysis. Applications to hospitals and other health care organizations and areas are reviewed and summarised, and some meta-type analysis undertaken. Cautious conclusions are that public provision may be potentially more efficient than private, in certain settings. The paper also considers conceptualizations of efficiency, and points to dangers and opportunities in generating such information. Finally, some criteria for assessing the use and usefulness of efficiency studies are established, with a view to helping both researchers and those assessing whether or not to act upon published results.

AB - The measurement of efficiency and productivity of health service delivery has become a small industry. This is a review of 317 published papers on frontier efficiency measurement. The techniques used are mainly based on non-parametric data envelopment analysis, but there is increasing use of parametric techniques, such as stochastic frontier analysis. Applications to hospitals and other health care organizations and areas are reviewed and summarised, and some meta-type analysis undertaken. Cautious conclusions are that public provision may be potentially more efficient than private, in certain settings. The paper also considers conceptualizations of efficiency, and points to dangers and opportunities in generating such information. Finally, some criteria for assessing the use and usefulness of efficiency studies are established, with a view to helping both researchers and those assessing whether or not to act upon published results.

KW - efficiency measurement

KW - productivity

KW - health care

KW - parametric

KW - non-parametric

KW - stochastic frontiers

KW - data envelopment analysis

UR - http://www.scopus.com/inward/record.url?scp=57349184601&partnerID=8YFLogxK

U2 - 10.1002/hec.1391

DO - 10.1002/hec.1391

M3 - Journal article

AN - SCOPUS:57349184601

VL - 17

SP - 1107

EP - 1128

JO - Health Economics

JF - Health Economics

SN - 1057-9230

IS - 10

ER -