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SOCIAL DETERMINANTS OF HEALTH (2) answer(s).
 
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ID:   151564


Healthcare service in Hong Kong and its challenges : the role of health professionals within a social model of health / Schoeb, Veronika   Journal Article
Schoeb, Veronika Journal Article
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Summary/Abstract The Hong Kong Special Administrative Region combines a British colonial history within a Chinese cultural context and offers its population a dual system with a comprehensive and efficient public health care system in tandem with private hospitals and practitioners. Multiple challenges are looming: increasing demand for health services due to an aging population, staff shortages at all levels, and an underdeveloped primary healthcare system. Health is determined by multiple factors and is defined as a state of complete physical, mental, and social well-being. In recent years, the medical model of health focusing on pathology and disease has been considered insufficient, and a social model of health has been proposed, relying on a more holistic and broad definition of health. Rather than focusing on individual responsibility for health, the social model emphasises collective responsibility for health. This paper analyses the challenges facing Hong Kong in view of the social model of health. The discussion provides some reflections on medical dominance, the reasons behind limited primary care services, and what steps could be recommended to deliver healthcare services in Hong Kong in line with a more holistic view of health.
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2
ID:   168660


Structural energy poverty vulnerability and excess winter mortality in the European Union: exploring the association between structural determinants and health / Recalde, Martina   Journal Article
Recalde, Martina Journal Article
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Summary/Abstract Energy poverty (EP) is a growing problem in the European Union (EU) that affects the population's health. EP is structurally determined by broader political and socio-economic conditions. Our aims were to analyze the configuration of these determinants in each EU-27 country through the creation of a structural energy poverty vulnerability (SEPV) index, to group countries according to their SEPV index scores, and to explore the association between SEPV and EP prevalence, and also with excess winter mortality (EWM). We created a SEPV index through seriated principal component analyses and then validated the index. We performed a hierarchical cluster analysis (HCA) to group countries according to their SEPV. A Poisson regression model was fitted to analyze the association between SEPV and EWM. The final index comprised 13 indicators and showed an unequal distribution of SEPV across the EU. The HCA identified countries with high structural vulnerability (southeastern Europe) and countries with low structural vulnerability (northwestern Europe). The most vulnerable countries showed a statistically significant higher EP prevalence and risk of EWM. The SEPV index summarizes the structural determinants of EP across the EU, allows to identify geographical patterns and to study how the structural determinants of EP affect health.
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