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

We 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 introd...

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Veröffentlicht in:	PloS one 2018-09, Vol.13 (9), p.e0203017-e0203017
Hauptverfasser:	Pross, Christoph, Strumann, Christoph, Geissler, Alexander, Herwartz, Helmut, Klein, Nadja
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Bayes Theorem Bayesian analysis Biology and Life Sciences Care and treatment Efficiency Efficiency, Organizational Emergency medical care Geography, Medical Germany Health care Health economics Hospital costs Hospital services Hospitals Humans ISO standards Medical care quality Medicine and Health Sciences Mortality Open access publishing Patient Readmission Patients People and places Quality Assurance, Health Care - methods Quality control Quality of care Regulators Researchers Social Sciences Specialization Stochastic Processes Stochasticity Stroke Stroke - mortality Stroke - therapy
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