scholarly journals The social determinants of health in rural and urban South Africa: A collective case study of Xhosa women with stroke

Author(s):  
Marlie Giljam-Enright ◽  
◽  
Sue Statham ◽  
Gakeemah Inglis-Jassiem ◽  
Lana van Niekerk ◽  
...  
Author(s):  
Nicholas B. King

This chapter examines the interplay between normative judgments and empirical research. Using a case study of recent work on the social determinants of health, the author argues that three domains that are normally thought of as conceptually and disciplinarily independent—epistemology, scientific methodology, and normative judgment—are in fact closely intertwined. When considering issues related to health inequalities and social justice, keeping these domains separate leads to poor science, poor theorizing, and, ultimately, poor policy choices. The author identifies three problems with the claim that in order to reduce health inequalities and improve population health, we are morally compelled to address the social determinants of health, through interventions that redistribute social or economic resources in a more fair or just manner. The problems are (1) assuming that data are the neutral products of objective scientific investigations; (2) misunderstanding causality and counterfactual reasoning; and (3) blind belief in the consonance of the good.


Curationis ◽  
2016 ◽  
Vol 39 (1) ◽  
Author(s):  
Rose M.M. Mmusi-Phetoe

Background: South Africa’s maternal mortality ratio has increased from 150/100 000 in 1990 to 269/100 000 live births in 2015 against the Millennium Development Goals 5 (MDG5) target of 38/100 000, indicating slow progress in improving maternal health. The neonatal mortality rate was 14/1000 live births against the MDG4 target of 7/1000. The purpose of the article was to outline the socio-economic factors that determine maternal and neonatal mortality in South African communities.Objectives: To identify and describe the social determinants of maternal and neonatal mortality in South Africa. Method: A qualitative study using audio-taped individual interviews was conducted. The interviews included 10 pregnant women who were purposefully recruited from the antenatal clinic attendees in a public hospital. The interviews were conducted in isiZulu and later translated into English by the researcher who is fluent in both. Data were analysed using the World Health Organization’s (WHO) Commission on Social Determinants of Health framework.Results: Findings revealed that poverty was an underlying factor to the vulnerability to illness and death of the mothers and their neonates. Other determinants were found to be the nutritional inadequacies, neglect and abuse by male partners, HIV or AIDS, inattention to reproductive health and violation of reproductive rights, and powerlessness of women and health system issues such as poor quality and incompetent health care.Conclusion: It is apparent that poverty plays a major role in determining the health of mothers and neonates. This requires more coordinated multi-sectorial interventions to address both the social determinants and direct causes of maternal and neonatal deaths.Keywords: maternal mortality, neonatal mortality, social determinants of health


Author(s):  
Glory Chidumwa ◽  
Innocent Maposa ◽  
Paul Kowal ◽  
Lisa K. Micklesfield ◽  
Lisa J. Ware

Recent studies have suggested the common co-occurrence of hypertension and diabetes in South Africa. Given that hypertension and diabetes are known to share common socio-demographic, anthropometric and lifestyle risk factors, the aim of this study was to jointly model the shared and disease-specific geographical variation of hypertension and diabetes. The current analysis used the Study on Global Ageing and Adult Health (SAGE) South Africa Wave 2 (2014/15) data collected from 2761 participants. Of the 2761 adults (median age = 56 years), 641 (23.2%) had high blood pressure on measurement and 338 (12.3%) reported being diagnosed with diabetes. The shared component has distinct spatial patterns with higher values of odds in the eastern districts of Kwa-Zulu Natal and central Gauteng province. The shared component may represent unmeasured health behavior characteristics or the social determinants of health in our population. Our study further showed how a shared component (latent and unmeasured health behavior characteristics or the social determinants of health) is distributed across South Africa among the older adult population. Further research using similar shared joint models may focus on extending these models for multiple diseases with ecological factors and also incorporating sampling weights in the spatial analyses.


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