Show simple item record

dc.contributor.authorBarnum, Darold T.
dc.contributor.authorWalton, Surrey M.
dc.contributor.authorShields, Karen L.
dc.contributor.authorSchumock, Glen T.
dc.date.accessioned2011-05-26T02:22:41Z
dc.date.available2011-05-26T02:22:41Z
dc.date.issued2009-12-15
dc.identifier.bibliographicCitationBarnum, Darold T., Walton, Surrey M., Shields, Karen L., & Schumock, Glen T. 2009. Measuring Hospital Efficiency with Data Envelopment Analysis: Nonsubstitutable vs. Substitutable Inputs and Outputs. Journal of Medical Systems. DOI: 10.1007/s10916-009-9416-0en
dc.identifier.issn0148-5598
dc.identifier.otherDOI: 10.1007/s10916-009-9416-0
dc.identifier.urihttp://hdl.handle.net/10027/7669
dc.descriptionThe post print version of this article may differ from the published version. The original publication is available at www.springerlink.com at DOI: 10.1007/s10916-009-9416-0.en
dc.description.abstractThere is a conflict between Data Envelopment Analysis (DEA) theory’s requirement that inputs (outputs) be substitutable, and the ubiquitous use of nonsubstitutable inputs and outputs in DEA applications to hospitals. This paper develops efficiency indicators valid for nonsubstitutable variables. Then, using a sample of 87 community hospitals, it compares the new measures’ efficiency estimates with those of conventional DEA measures. DEA substantially overestimated the hospitals’ efficiency on the average, and reported many inefficient hospitals to be efficient. Further, it greatly overestimated the efficiency of some hospitals but only slightly overestimated the efficiency of others, thus making any comparisons among hospitals questionable. These results suggest that conventional DEA models should not be used to estimate the efficiency of hospitals unless there is empirical evidence that the inputs (outputs) are substitutable. If inputs (outputs) are not substitutes, efficiency indicators valid for nonsubstitutability should be employed, or, before applying DEA, the nonsubstitutable variables should be combined using an appropriate weighting scheme or statistical methodology.en
dc.language.isoen_USen
dc.publisherSpringer Verlagen
dc.subjectData envelopment analysisen
dc.subjectEfficiencyen
dc.subjectHospitalsen
dc.subjectFixed proportion technologyen
dc.titleMeasuring Hospital Efficiency with Data Envelopment Analysis: Nonsubstitutable vs. Substitutable Inputs and Outputsen
dc.typeArticleen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record