Explaining the role of the social determinants of health on health inequality in South Africa

被引:51
作者
Ataguba, John Ele-Ojo [1 ]
Day, Candy [2 ]
McIntyre, Di [1 ]
机构
[1] Univ Cape Town, Hlth Econ Unit, Sch Publ Hlth & Family Med, ZA-7925 Cape Town, South Africa
[2] Hlth Syst Trust, Durban, South Africa
来源
GLOBAL HEALTH ACTION | 2015年 / 8卷
基金
新加坡国家研究基金会;
关键词
social determinants of health; self-assessed health; health inequality; inequality decomposition; inter-sectoral action; South Africa; SELF-RATED HEALTH; ASSESSED HEALTH; EQUITY; POLICY; SURVIVAL; GRADIENT; INCOME; STATE;
D O I
10.3402/gha.v8.28865
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Action on the social determinants of health (SDH) is relevant for reducing health inequalities. This is particularly the case for South Africa (SA) with its very high level of income inequality and inequalities in health and health outcomes. This paper provides evidence on the key SDH for reducing health inequalities in the country using a framework initially developed by the World Health Organization. Objective: This paper assesses health inequalities in SA and explains the factors (i.e. SDH and other individual level factors) that account for large disparities in health. The relative contribution of different SDH to health inequality is also assessed. Design: A cross-sectional design is used. Data come from the third wave of the nationally representative National Income Dynamics Study. A subsample of adults (18 years and older) is used. The main variable of interest is dichotomised good versus bad self-assessed health (SAH). Income-related health inequality is assessed using the standard concentration index (CI). A positive CI means that the rich report better health than the poor. A negative value signifies the opposite. The paper also decomposes the CI to assess its contributing factors. Results: Good SAH is significantly concentrated among the rich rather than the poor (CI = 0.008; p < 0.01). Decomposition of this result shows that social protection and employment (contribution = 0.012; p < 0.01), knowledge and education (0.005; p < 0.01), and housing and infrastructure (-0.003; p < 0.01) contribute significantly to the disparities in good SAH in SA. After accounting for these other variables, the contribution of income and poverty is negligible. Conclusions: Addressing health inequalities inter alia requires an increased government commitment in terms of budgetary allocations to key sectors (i.e. employment, social protection, education, housing, and other appropriate infrastructure). Attention should also be paid to equity in benefits from government expenditure. In addition, the health sector needs to play its role in providing a broad range of health services to reduce the burden of disease.
引用
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页数:11
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