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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=89547"><dc:title>Architecture of the health system as an enabler of better wellbeing</dc:title><dc:creator>Jagrič,	Timotej	(Avtor)
	</dc:creator><dc:creator>Bojnec,	Štefan	(Avtor)
	</dc:creator><dc:creator>Brown,	Christine Elisabeth	(Avtor)
	</dc:creator><dc:creator>Jagrič,	Vita	(Avtor)
	</dc:creator><dc:subject>population wellbeing</dc:subject><dc:subject>health system capacity</dc:subject><dc:subject>public health system</dc:subject><dc:subject>health policy</dc:subject><dc:subject>neural network</dc:subject><dc:description>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.</dc:description><dc:publisher>Istituto poligrafico dello stato</dc:publisher><dc:date>2023</dc:date><dc:date>2024-07-19 09:17:16</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>89547</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
