Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach
The health care sector is one of the fastest growing sectors in the United States. Researchers are interested in conducting studies in the area of health economics in order to propose solutions to curb the rapid increase in health care spending and to improve the efficiency of the health care system...
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Veröffentlicht in: | Annals of operations research 2014-10, Vol.221 (1), p.161-172 |
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description | The health care sector is one of the fastest growing sectors in the United States. Researchers are interested in conducting studies in the area of health economics in order to propose solutions to curb the rapid increase in health care spending and to improve the efficiency of the health care system in the United States. Specifically, hospital efficiency is one important research area in health economics. In this paper, data envelopment analysis (DEA) is used to assess hospital efficiency. An additive super-efficiency model is presented and applied to a sample of general acute care hospitals in Pennsylvania. In addition to the conventional choice of input and output variables, we include the survival rate as a quality measure of health outcome in the set of output variables. Thus our model takes both the quantity and the quality of the output into account. With the results obtained from our proposed DEA model, inefficiencies can be identified for hospitals to address without sacrificing the quality of care. |
doi_str_mv | 10.1007/s10479-011-0838-y |
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With the results obtained from our proposed DEA model, inefficiencies can be identified for hospitals to address without sacrificing the quality of care.</description><identifier>ISSN: 0254-5330</identifier><identifier>EISSN: 1572-9338</identifier><identifier>DOI: 10.1007/s10479-011-0838-y</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Additives ; Business and Management ; Combinatorics ; Data envelopment analysis ; Economics ; Health ; Health care ; Health care expenditures ; Health care industry ; Health care policy ; Health economics ; Hospitals ; Internal customers ; Management ; Mathematical models ; Medicaid ; Medicare ; Operations research ; Operations Research/Decision Theory ; Survival ; Technology adoption ; Theory of Computation ; United States ; Variables</subject><ispartof>Annals of operations research, 2014-10, Vol.221 (1), p.161-172</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>COPYRIGHT 2014 Springer</rights><rights>Springer Science+Business Media New York 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c589t-8306a269ad46c5d77f082b771e62b9c5e06e063083c3f41b77e48f47cd38f5873</citedby><cites>FETCH-LOGICAL-c589t-8306a269ad46c5d77f082b771e62b9c5e06e063083c3f41b77e48f47cd38f5873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10479-011-0838-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10479-011-0838-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Du, Juan</creatorcontrib><creatorcontrib>Wang, Justin</creatorcontrib><creatorcontrib>Chen, Yao</creatorcontrib><creatorcontrib>Chou, Shin-Yi</creatorcontrib><creatorcontrib>Zhu, Joe</creatorcontrib><title>Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach</title><title>Annals of operations research</title><addtitle>Ann Oper Res</addtitle><description>The health care sector is one of the fastest growing sectors in the United States. Researchers are interested in conducting studies in the area of health economics in order to propose solutions to curb the rapid increase in health care spending and to improve the efficiency of the health care system in the United States. Specifically, hospital efficiency is one important research area in health economics. In this paper, data envelopment analysis (DEA) is used to assess hospital efficiency. An additive super-efficiency model is presented and applied to a sample of general acute care hospitals in Pennsylvania. In addition to the conventional choice of input and output variables, we include the survival rate as a quality measure of health outcome in the set of output variables. Thus our model takes both the quantity and the quality of the output into account. With the results obtained from our proposed DEA model, inefficiencies can be identified for hospitals to address without sacrificing the quality of care.</description><subject>Additives</subject><subject>Business and Management</subject><subject>Combinatorics</subject><subject>Data envelopment analysis</subject><subject>Economics</subject><subject>Health</subject><subject>Health care</subject><subject>Health care expenditures</subject><subject>Health care industry</subject><subject>Health care policy</subject><subject>Health economics</subject><subject>Hospitals</subject><subject>Internal customers</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Medicaid</subject><subject>Medicare</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Survival</subject><subject>Technology adoption</subject><subject>Theory of Computation</subject><subject>United 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Researchers are interested in conducting studies in the area of health economics in order to propose solutions to curb the rapid increase in health care spending and to improve the efficiency of the health care system in the United States. Specifically, hospital efficiency is one important research area in health economics. In this paper, data envelopment analysis (DEA) is used to assess hospital efficiency. An additive super-efficiency model is presented and applied to a sample of general acute care hospitals in Pennsylvania. In addition to the conventional choice of input and output variables, we include the survival rate as a quality measure of health outcome in the set of output variables. Thus our model takes both the quantity and the quality of the output into account. With the results obtained from our proposed DEA model, inefficiencies can be identified for hospitals to address without sacrificing the quality of care.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s10479-011-0838-y</doi><tpages>12</tpages></addata></record> |
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subjects | Additives Business and Management Combinatorics Data envelopment analysis Economics Health Health care Health care expenditures Health care industry Health care policy Health economics Hospitals Internal customers Management Mathematical models Medicaid Medicare Operations research Operations Research/Decision Theory Survival Technology adoption Theory of Computation United States Variables |
title | Incorporating health outcomes in Pennsylvania hospital efficiency: an additive super-efficiency DEA approach |
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