Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Heal
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th Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey period, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys me
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asure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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South Africa has faced many challenges over the past two decades, accomplishing profound positive changes in the social structure and government of the nation. This has not yet fully trans
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lated into better health for the population, however, particularly the poorest segment. In fact, the population has lost ground since the 1990s in virtually all important health indicators, leaving South Africa with a high burden of infectious disease.
August 2011, Vol. 101, No. 8 SAMJ
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the natio
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nal average on all maternal health indicators in this study, while other highpriority counties consistently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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Demographic and Health Surveys, Working Paper
Healthy Settings, a key component of Malawi’s Health Sector Strategic Plan (HSSP) 2011–2016, is the World Health Organization’s (WHO) holistic community-led approach to achieving health improvement by addressing social determinants of health,
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an approach which is central to the current WHO framework on integrated people-centred health services. Healthy Settings projects by their construct have many different components which vary from one group and community to another depending on their priorities: from housing, hospital improvements and waste management to “softer” interventions like leadership skills training and health promotion. It can be challenging to find relevant indicators to monitor and assess the impact of such a complex holistic project, this paper explores if social capital data can provide useful impact assessment indicators at the start of such a project.
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This third edition of the National Gender Statistics Report provides the updated sex-disaggregated data in twelve fields: Population and Youth; Education; Health and Nutrition; Economic Activity
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and time use; Poverty & Social Protection; Justice & Human rights; Environment and Natural Resources; Decisionmaking and Public life; Infrastructure, ICT and Media; Trade and Business and Industry; Agriculture, Livestock and Forestry, and lastly the Income and Access to Finance. It should be noted that this report takes into account almost all quantitative indicators of the United Nations Minimum Set of Gender Indicators (UNMSGI) as developed by the United Nations Statistical Division (UNSD) and some of the approved quantitative SDGs gender related indicators.
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