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A model for integrating social interventions into primary health care order to reduce maternal and child mortality in South Africa

The maternal mortality ratio (MMR) and neonatal mortality rate (NMR) have been persistently high in South Africa, with black, poor, rural women and neonates mostly affected. The MMR and the NMR are indicative of the health of the population and reflect deeper issues such as inequitable distribution of the country’s resources, social exclusion, deprivation, and lack of access to quality public services.
The purpose of the study was to develop a model to meet the overall health needs of the socially excluded, the deprived and the vulnerable women by listing those factors that influence maternal and child health outcomes. From the point of view that individual reproduction and health decision-making takes place in a milieu comprising multiple socio-economic and cultural factors, this study attempts to add to the body of knowledge on maternal and child health in order to influence policies and interventions.
Data was collected through a multi-staged, qualitative research design. The results show how structural factors result in high risk for poor maternal and child health outcomes, suggesting that the high rates of poor health outcomes are evidence of deprivation of women’s needs due to poverty leading to an inability to cope with pregnancy and childbirth. The results are used to develop a model that proposes pathways for policy action to confront both the structural and intermediary determinants of maternal and child ill health and mortality. These pathways operate through integrative and inter-sectorial mechanisms intended at empowering women and enhancing female reproductive health care activities. / Sociology / D.Litt. et Phil. (Sociology)

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/6734
Date11 1900
CreatorsMmusi-Phetoe, Rose Maureen Makapi
ContributorsDu Plessis, G. E.
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Format1 online resource (xvii, 316 leaves)

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