Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7339
Main Title: Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany
Author(s): Pross, Christoph
Strumann, Christoph
Geissler, Alexander
Herwartz, Helmut
Klein, Nadja
Type: Article
Language Code: en
Abstract: 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 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.
URI: https://depositonce.tu-berlin.de//handle/11303/8184
http://dx.doi.org/10.14279/depositonce-7339
Issue Date: 6-Sep-2018
Date Available: 13-Sep-2018
DDC Class: 610 Medizin und Gesundheit
Subject(s): stochastic frontier analysis
health system
hospital performance
Sponsor/Funder: DFG, TH 662/19-1, Open Access Publizieren 2017 - 2018 / Technische Universität Berlin
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: PLOS ONE
Publisher: San Francisco, California, US
Publisher Place: PLOS
Volume: 13
Issue: 9
Article Number: e0203017
Publisher DOI: 10.1371/journal.pone.0203017
EISSN: 1932-6203
Appears in Collections:FG Management im Gesundheitswesen » Publications

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