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Social Determinants of Health Discussion Paper 1 (Debates). This paper was prepared for the launch of the Commission on Social Determinants of Health (CSDH) by its secretariat based at WHO in Genev
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a. It was discussed by the Commissioners and then revised considering their input.
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Good mental health is integral to human health and well being. A person’s mental health and many common mental disorders are shaped by various social, economic, and physical environments operating at different stages of life. Risk factors for many common mental disorders are heavily associated wit
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h social inequalities, whereby the greater the inequality the higher the inequality in risk.
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Social determinants approaches to public health: from concept to practice
Erik Blas, Johannes Sommerfeld and Anand Sivasankara Kurup
World Health Organization WHO
(2011)
C_WHO
To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and
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work. It is in this particular context that a case study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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PeerJ PrePrints , http://dx.doi.org/10.7287/peerj.preprints.579v1 2 Nov 2014
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 79
Previous studies have highlighted a range of individual determinants associated with HIV testing but few have assessed the role of contextual factors. The objective of this paper is to examine the influence of both individual and community-level
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determinants of HIV testing uptake in Burkina Faso.
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Journal of Biosocial Science / Volume 34 / Issue 04 / October 2002, pp 525 - 539
DOI: DOI:10.1017/S0021932002005254, Published online: 24 September 2002
This paper examines determinants of one aspect of sexual behaviour – coital frequency –
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among 2188 married women in the Central African Republic using a secondary analysis of data from the Demographic and Health Survey of 1994–95. Female genital cutting (or circumcision) is practised in the Central African Republic and self-reported circumcision status was included in the questionnaire enabling it to be examined as a possible determinant of coital frequency. Multiple logistic regression was used to find a subset of factors independently associated with coital frequency.
Decreased coital frequency was found in those who had longer duration of marriage, those who were not the most recent wife in a polygamous marriage and those who had more surviving children. Coital frequency was higher in more educated women and those not contracepting because they wanted to get pregnant. After adjusting for confounders no association between
female genital cutting and coital frequency was found. The extent to which women can control coital frequency in this culture is not known and fertility desires may override any negative effects of circumcision on sexual pleasure.
It was therefore not possible to draw conclusions about how female genital cutting affects a woman’s desire for sexual intercourse and consequently there is a need to develop research methods further to investigate this question.
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This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facili
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ty delivery, and timely postnatal care (PNC).This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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DHS Analytical Studies No. 39
Social inequalities are perpetuating unhealthy living and working conditions and behaviours. These causes are commonly called ‘the social determinants of health’. Achieving greater equity in health will demand that the health sector assumes a gr
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eater leadership role in addressing social inequalities. This requires equipping health and care workers to better understand how the social determinants of health impact patients and communities. Education of the health workforce is thus a key step to advancing action. Integration of the social determinants of health into education and training will prepare the workforce to adjust clinical practice, define appropriate public health programmes and leverage cross-sector policies and mechanisms.
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DHS Working Papers No. 82
Trends and determinants of neonatal mortality in Nepal
Paudel, D., A. Thapa, P. R. Shedain, and B. Paudel
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
Poverty is both a cause and a consequence of poor health, and the scarcity of resources limits access to
essential health care services.
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with ... use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with ... use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
DHS Qualitative Research Studies No. 19
89% of health occurs outside of the clinical space through our genetics, behavior, environment and social circumstances. These factors are known as the social determinants of health. Despite their importance, attempts to integrate the
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determinants into a single visualization have been limited.
Accessed 30th March 2019
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