Updated May 2017
This document is meant to respond to the questions:
■ What health interventions should the child receive and when should s/he receive it?
■ What health behaviours should a mother/caregiver practise (or not practise)?
Maternal, Infant and Young Child Nutrition Strategic Actions:
1 Endorse and disseminate key policies and regulations
2 Improve maternal nutrition
3 Protect, promote, and support optimal infant and young child feeding practices
4 Support optimal infant and young child feeding in ...difficult circumstances
5 Ensure intra-sectoral integration (Health and Nutrition)
6 Improve intersectoral integration (food security and livelihood, WASH, protection, education and shelter)
7 Support capacity building and service strengthening
8 Initiate advocacy and social behavioural change communication
9 Sustain research, information, monitoring and evaluation
10 Mobilise resources and support
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The current guidelines on Integrated Management of Acute Malnutrition (IMAM), addresses the issue of improved management of severe acute malnutrition (SAM), particularly in children under 5 years of age. In the absence of standard protocols, mortality in children admitted to hospital with SAM can ra...nge between 20 -30% with the highest levels of 50-60% among those with oedematous malnutrition. With modern treatment regimens and improved access to treatment, case-fatality rates can be reduced to less than 5%. These provincial guidelines on IMAM in KZN, includes inpatient care protocols on the management of SAM, and outpatient and community outreach components to manage moderate acute malnutrition (MAM) and prevent deterioration to SAM.
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, 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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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Kigali City
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he National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication illu...strates the profile of Northern Province.
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The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Eastern Province.
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Further analysis of the 1996, 2001, and 2006 Demographic and Health Surveys Data
National Tuberclosis and
Leprosy Programme (NTLP)
The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals ...(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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Preliminary version for country introduction