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The role of the state in financing and regulating primary care in Europe: a taxonomy
AB. Espinosa-González, BC. Delaney, J. Marti, A. Darzi
Jazyk angličtina Země Irsko
Typ dokumentu časopisecké články
- MeSH
- lidé MeSH
- primární zdravotní péče * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Bosna a Hercegovina MeSH
- Bulharsko MeSH
- Česká republika MeSH
- Chorvatsko MeSH
- Evropa MeSH
- Finsko MeSH
- Francie MeSH
- Irsko MeSH
- Izrael MeSH
- Malta MeSH
- Německo MeSH
- Norsko MeSH
- Polsko MeSH
- Řecko MeSH
- Republika Severní Makedonie MeSH
- Rumunsko MeSH
- Slovenská republika MeSH
- Slovinsko MeSH
- Španělsko MeSH
- Spojené království MeSH
- Srbsko MeSH
- Švédsko MeSH
- Švýcarsko MeSH
- Turecko MeSH
- Ukrajina MeSH
Traditional health systems typologies were based on health system financing type, such as the well-known OECD typology. However, the number of dimensions captured in classifications increased to reflect health systems complexity. This study aims to develop a taxonomy of primary care (PC) systems based on the actors involved (state, societal and private) and mechanisms used in governance, financing and regulation, which conceptually represents the degree of decentralisation of functions. We use nonlinear canonical correlations analysis and agglomerative hierarchical clustering on data obtained from the European Observatory on Health Systems and Policy and informants from 24 WHO European Region countries. We obtain four clusters: 1) Bosnia Herzegovina, Czech Republic, Germany, Slovakia and Switzerland: corporatist and/or fragmented PC system, with state involvement in PC supply regulation, without gatekeeping; 2) Greece, Ireland, Israel, Malta, Sweden, and Ukraine: public and (re)centralised PC financing and regulation with private involvement, without gatekeeping; 3) Finland, Norway, Spain and United Kingdom: public financing and devolved regulation and organisation of PC, with gatekeeping; and 4) Bulgaria, Croatia, France, North Macedonia, Poland, Romania, Serbia, Slovenia and Turkey: public and deconcentrated with professional involvement in supply regulation, and gatekeeping. This taxonomy can serve as a framework for performance comparisons and a means to analyse the effect that different actors and levels of devolution or fragmentation of PC delivery may have in health outcomes.
Citace poskytuje Crossref.org
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- $a Espinosa-González, Ana Belén $u Department of Surgery and Cancer, Imperial College London, Address: St Mary's Hospital, Praed St, Paddington, London W2 1NY, United Kingdom. Electronic address: a.espinosa-gonzalez15@imperial.ac.uk
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- $a Traditional health systems typologies were based on health system financing type, such as the well-known OECD typology. However, the number of dimensions captured in classifications increased to reflect health systems complexity. This study aims to develop a taxonomy of primary care (PC) systems based on the actors involved (state, societal and private) and mechanisms used in governance, financing and regulation, which conceptually represents the degree of decentralisation of functions. We use nonlinear canonical correlations analysis and agglomerative hierarchical clustering on data obtained from the European Observatory on Health Systems and Policy and informants from 24 WHO European Region countries. We obtain four clusters: 1) Bosnia Herzegovina, Czech Republic, Germany, Slovakia and Switzerland: corporatist and/or fragmented PC system, with state involvement in PC supply regulation, without gatekeeping; 2) Greece, Ireland, Israel, Malta, Sweden, and Ukraine: public and (re)centralised PC financing and regulation with private involvement, without gatekeeping; 3) Finland, Norway, Spain and United Kingdom: public financing and devolved regulation and organisation of PC, with gatekeeping; and 4) Bulgaria, Croatia, France, North Macedonia, Poland, Romania, Serbia, Slovenia and Turkey: public and deconcentrated with professional involvement in supply regulation, and gatekeeping. This taxonomy can serve as a framework for performance comparisons and a means to analyse the effect that different actors and levels of devolution or fragmentation of PC delivery may have in health outcomes.
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