Literature DB >> 29482949

Improving health care service provision by adapting to regional diversity: An efficiency analysis for the case of Germany.

Helmut Herwartz1, Katharina Schley2.   

Abstract

The provision of health care in Germany exhibits sizeable geographic variation with a heterogeneous allocation of medical services in rural and urban areas. Furthermore, distinct utilisation patterns and access barriers due to the socio-economic environment might cause inefficiencies in the provision of health care services. Accordingly, an improved understanding of factors governing inefficiencies in health care provision is likely to benefit an efficient spatial allocation of health care infrastructure. We analyse how socio-economic factors influence the regional distribution of (in)efficiencies in the provision of health care services by means of a stochastic frontier analysis. Our results highlight that regional deprivation relates to inefficient provision of health care services. As a consequence, policies should also consider socio-economic conditions to improve the allocation of medical services and overall health.
Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

Keywords:  Health efficiency; Health production; Stochastic frontier analysis

Mesh:

Year:  2018        PMID: 29482949     DOI: 10.1016/j.healthpol.2018.01.004

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  7 in total

1.  Health care service provision in Europe and regional diversity: a stochastic metafrontier approach.

Authors:  Katharina Schley
Journal:  Health Econ Rev       Date:  2018-05-31

2.  Health expenditure efficiency in rural China using the super-SBM model and the Malmquist productivity index.

Authors:  Weilin Liu; Ying Xia; Jianlin Hou
Journal:  Int J Equity Health       Date:  2019-07-19

3.  Physicians' brain drain - a gravity model of migration flows.

Authors:  Alina Botezat; Raul Ramos
Journal:  Global Health       Date:  2020-01-14       Impact factor: 4.185

4.  Empirical Analysis of Factors Influencing Healthcare Efficiency among Emerging Countries.

Authors:  Lulin Zhou; Sabina Ampon-Wireko; Lamini Dauda; Xinglong Xu; Maxwell Opuni Antwi; Ebenezer Larnyo
Journal:  Healthcare (Basel)       Date:  2020-12-31

5.  Efficiency measurement and spatial spillover effect of provincial health systems in China: Based on the two-stage network DEA model.

Authors:  Yuping Yang; Liqin Zhang; Xiaoyan Zhang; Mengting Yang; Wenjie Zou
Journal:  Front Public Health       Date:  2022-10-03

6.  Beyond mapping: a case for geospatial analytics in humanitarian health.

Authors:  P Gregg Greenough; Erica L Nelson
Journal:  Confl Health       Date:  2019-11-08       Impact factor: 2.723

7.  Research on efficiency measurement and spatiotemporal disparity of rural public health services in China.

Authors:  Liqing Li; Zixuan Liu
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

  7 in total

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