Literature DB >> 29475739

Hospital centralization and performance in Denmark-Ten years on.

Terkel Christiansen1, Karsten Vrangbæk2.   

Abstract

Denmark implemented a major reform of the administrative and political structure in 2007 when the previous 13 counties were merged into five new regions and the number of municipalities was reduced from 271 to 98. A main objective was to create administrative units that were large enough to support a hospital structure with few acute hospitals in each region and to centralize specialized care in fewer hospitals. This paper analyses the reorganization of the somatic hospital sector in Denmark since 2007, discusses the mechanisms behind the changes and analyses hospital performance after the reform. The reform focused on improving acute services and quality of care. The number of acute hospitals was reduced from about 40-21 hospitals with new joint acute facilities, which include emergency care wards. The restructuring and geographical placement of acute hospitals took place in a democratic process subject to central guidelines and requirements. Since the reform, hospital productivity has increased by more than 2 per cent per year and costs have been stable. Overall, indicators point to a successful reform. However, it has also been criticized that some people in remote areas feel "left behind" in the economic development and that hospital staff are under increased workload pressure. Concurrent with the centralization of hospitals municipalities strengthened their health service with an emphasis on prevention and health promotion.
Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acute health care; Clinical specialization; Government health policy; State and local budgets and expenditures; State and local government – health; State and local taxation

Mesh:

Year:  2018        PMID: 29475739     DOI: 10.1016/j.healthpol.2017.12.009

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


  14 in total

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