Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany

dc.contributor.authorPross, Christoph
dc.contributor.authorStrumann, Christoph
dc.contributor.authorGeissler, Alexander
dc.contributor.authorHerwartz, Helmut
dc.contributor.authorKlein, Nadja
dc.date.accessioned2018-09-13T11:30:43Z
dc.date.available2018-09-13T11:30:43Z
dc.date.issued2018-09-06
dc.description.abstractWe specify a Bayesian, geoadditive Stochastic Frontier Analysis (SFA) model to assess hospital performance along the dimensions of resources and quality of stroke care in German hospitals. With 1,100 annual observations and data from 2006 to 2013 and risk-adjusted patient volume as output, we introduce a production function that captures quality, resource inputs, hospital inefficiency determinants and spatial patterns of inefficiencies. With high relevance for hospital management and health system regulators, we identify performance improvement mechanisms by considering marginal effects for the average hospital. Specialization and certification can substantially reduce mortality. Regional and hospital-level concentration can improve quality and resource efficiency. Finally, our results demonstrate a trade-off between quality improvement and resource reduction and substantial regional variation in efficiency.en
dc.description.sponsorshipDFG, 325093850, Open Access Publizieren 2017 - 2018 / Technische Universität Berlinde
dc.identifier.eissn1932-6203
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8184
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7339
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc610 Medizin und Gesundheitde
dc.subject.otherstochastic frontier analysisen
dc.subject.otherhealth systemen
dc.subject.otherhospital performanceen
dc.titleQuality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germanyen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumbere0203017en
dcterms.bibliographicCitation.doi10.1371/journal.pone.0203017en
dcterms.bibliographicCitation.issue9en
dcterms.bibliographicCitation.journaltitlePLOS ONEen
dcterms.bibliographicCitation.originalpublishernamePublic Library of Science (PLOS)en
dcterms.bibliographicCitation.originalpublisherplaceSan Francisco, California, USen
dcterms.bibliographicCitation.volume13en
tub.accessrights.dnbfreeen
tub.affiliationFak. 7 Wirtschaft und Management::Inst. Technologie und Management (ITM)::FG Management im Gesundheitswesende
tub.affiliation.facultyFak. 7 Wirtschaft und Managementde
tub.affiliation.groupFG Management im Gesundheitswesende
tub.affiliation.instituteInst. Technologie und Management (ITM)de
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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