Title |
EU health systems classification: a new proposal from EURO-HEALTHY
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Published in |
BMC Health Services Research, July 2018
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DOI | 10.1186/s12913-018-3323-3 |
Pubmed ID | |
Authors |
Pedro Lopes Ferreira, Aida Isabel Tavares, Carlota Quintal, Paula Santana |
Abstract |
In accordance the WHO framework of health system functions and by using the indicators collected within the EURO-HEALTHY project, this work aims to contribute to the discussion on the classification of EU health systems. Three methods were used in this article: factor analysis, cluster analysis and descriptive analysis; data were mainly collected from the WHO and Eurostat databases. The most relevant result is the proposed classification of health systems into the following clusters: Austria-Germany, Central and Northern Countries, Southern Countries, Eastern Countries 'A' and Eastern Countries 'B'. The proposed typology contributes to the discussion about how to classify health systems; the typology of EU health systems allows comparisons of characteristics and health system performance across clusters and policy assessment and policy recommendation within each cluster. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 14% |
France | 1 | 14% |
Portugal | 1 | 14% |
Finland | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 77 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 19% |
Student > Bachelor | 9 | 12% |
Student > Master | 8 | 10% |
Researcher | 8 | 10% |
Lecturer | 5 | 6% |
Other | 15 | 19% |
Unknown | 17 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 13% |
Social Sciences | 10 | 13% |
Economics, Econometrics and Finance | 10 | 13% |
Nursing and Health Professions | 7 | 9% |
Business, Management and Accounting | 3 | 4% |
Other | 11 | 14% |
Unknown | 26 | 34% |