| Title: | Architecture of the health system as an enabler of better wellbeing |
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| Authors: | ID Jagrič, Timotej (Author)
ID Bojnec, Štefan (Author)
ID Brown, Christine Elisabeth (Author)
ID Jagrič, Vita (Author) |
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| Files: |  Jagric-2023-Architecture_of_the_health_system.pdf (3,01 MB)
MD5: 521803419DF943EAFF48B49B700FBED2
 https://doi.org/10.4415/ANN_23_02_08
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | EPF - Faculty of Business and Economics
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| Abstract: | ntroduction: Health systems worldwide have heterogenous capacities and financing characteristics. No clear empirical evidence is available on the possible outcomes of these characteristics for population wellbeing.
Aim: The study aims to provide empirical insight into health policy alternatives to support the development of health system architecture to improve population wellbeing.
Method and results: We developed an unsupervised neural network model to cluster countries and used the Human Development Index to derive a wellbeing model. The results show that no single health system architecture is associated with a higher level of population wellbeing. Strikingly, high levels of health expenditure and physical health capacity do not guarantee a high level of population wellbeing and different health systems correspond to a certain wellbeing level.
Conclusions: Our analysis shows that alternative options exist for some health system characteristics. These can be considered by governments developing health policy priorities. |
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| Keywords: | population wellbeing, health system capacity, public health system, health policy, neural network |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 21.12.2022 |
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| Article acceptance date: | 27.04.2023 |
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| Publication date: | 14.06.2023 |
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| Publisher: | Istituto poligrafico dello stato |
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| Year of publishing: | 2023 |
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| Number of pages: | Str. 149-158 |
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| Numbering: | Letn. 59, Št. 2 |
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| PID: | 20.500.12556/DKUM-89547  |
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| UDC: | 614.2 |
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| ISSN on article: | 2384-8553 |
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| COBISS.SI-ID: | 155722755 |
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| DOI: | 10.4415/ANN_23_02_08 |
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| Publication date in DKUM: | 19.07.2024 |
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| Views: | 351 |
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| Downloads: | 14 |
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| Metadata: |    |
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| Categories: | Misc.
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