Herwartz, Helmut

[["dc.bibliographiccitation.firstpage","1159"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of Applied Econometrics"],["dc.bibliographiccitation.lastpage","1182"],["dc.bibliographiccitation.volume","31"],["dc.contributor.author","Herwartz, Helmut"],["dc.contributor.author","Klein, Nadja"],["dc.contributor.author","Strumann, Christoph"],["dc.date.accessioned","2018-11-07T10:09:08Z"],["dc.date.available","2018-11-07T10:09:08Z"],["dc.date.issued","2016"],["dc.description.abstract","For a large heterogeneous group of patients, we analyse probabilities of hospital admission and distributional properties of lengths of hospital stay conditional on individual determinants. Bayesian structured additive regression models for zero-inflated and overdispersed count data are employed. In addition, the framework is extended towards hurdle specifications, providing an alternative approach to cover particularly large frequencies of zero quotes in count data. As a specific merit, the model class considered embeds linear and nonlinear effects of covariates on all distribution parameters. Linear effects indicate that the quantity and severity of prior illness are positively correlated with the risk of hospital admission, while medical prevention (in the form of general practice visits) and rehabilitation reduce the expected length of future hospital stays. Flexible nonlinear response patterns are diagnosed for age and an indicator of a patients' socioeconomic status. We find that social deprivation exhibits a positive impact on the risk of admission and a negative effect on the expected length of future hospital stays of admitted patients. Copyright (c) 2015John Wiley & Sons, Ltd."],["dc.identifier.doi","10.1002/jae.2454"],["dc.identifier.isi","000385435500012"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39601"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1099-1255"],["dc.relation.issn","0883-7252"],["dc.title","Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e0203017"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","PLoS One"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Pross, Christoph"],["dc.contributor.author","Strumann, Christoph"],["dc.contributor.author","Geissler, Alexander"],["dc.contributor.author","Herwartz, Helmut"],["dc.contributor.author","Klein, Nadja"],["dc.contributor.editor","Arrieta, Alejandro"],["dc.date.accessioned","2020-12-10T18:42:08Z"],["dc.date.available","2020-12-10T18:42:08Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1371/journal.pone.0203017"],["dc.identifier.eissn","1932-6203"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77822"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","175"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","The European Journal of Health Economics"],["dc.bibliographiccitation.lastpage","186"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Herwartz, Helmut"],["dc.contributor.author","Strumann, Christoph"],["dc.date.accessioned","2018-11-07T09:43:23Z"],["dc.date.available","2018-11-07T09:43:23Z"],["dc.date.issued","2014"],["dc.description.abstract","The introduction of prospective hospital reimbursement based on diagnosis-related groups (DRG) has been a conspicuous attempt to decelerate the steady increase of hospital expenditures in the German health sector. In this work, the effect of the financial reform on hospital efficiency is subjected to empirical testing by means of two complementary testing approaches. On the one hand, we apply a two-stage procedure based on non-parametric efficiency measurement. On the other hand, a stochastic frontier model is employed that allows a one-step estimation of both production frontier parameters and inefficiency effects. To identify efficiency gains as a consequence of changes in the hospital incentive structure, we account for technological progress, spatial dependence and hospital heterogeneity. The results of both approaches do not reveal any increase in overall efficiency after the DRG reform. In contrast, a significant decline in overall hospital efficiency over time is observed."],["dc.identifier.doi","10.1007/s10198-013-0464-5"],["dc.identifier.isi","000331982200006"],["dc.identifier.pmid","23519432"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34176"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1618-7601"],["dc.relation.issn","1618-7598"],["dc.title","Hospital efficiency under prospective reimbursement schemes: an empirical assessment for the case of Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]