This book is aimed at policymakers in ministries of agriculture and national agricultural research institutes, as well as multilateral development banks and the private sector and provides guidance on various technology strategies and which to pursue as competition grows for land, water, and energy ...across productive sectors and even increasingly across borders. Climate change, population, and income growth will drive food demand in the coming decades. Food prices are also expected to significantly increase between 2005 and 2050 and the number of people at risk of hunger in the developing world would grow from 881 million in 2005 to more than a billion people by 2050. This book endeavors to respond to the challenge of growing food sustainably without degrading our natural resource bas
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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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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Rwanda Guidelines for variation to registered pharmaceutical products.
The Rwandan Ministry of Health recognizes the threat that Non-Communicable Diseases (NCDs) pose to health and development in Rwanda and in 2009 articulates strategies to respond to them in the Health Sector Strategic Plan 2012 - 2018 (HSSP3). Among other things, the plan calls for a national prevale...nce survey on NCD risk factors. This report responds to that call and summarizes the findings of the first NCD risk factor survey in Rwanda conducted from November 2012 to March 2013.
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The National Institute for Transforming India (NITI) Aayog has developed the Composite Water Management Index (CWMI) to enable effective water management in Indian states in the face of extreme water stress. The Index and this associated report are expected to: (1) establish a clear baseline and ben...chmark for state-level performance on key water indicators; (2) uncover and explain how states have progressed on water issues over time, including identifying high-performers and under-performers, thereby inculcating a culture of constructive competition among states; and, (3) identify areas for deeper engagement and investment on the part of the states. Eventually, NITI Aayog plans to develop the index into a composite, national-level data management platform for all water resources in India.
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These are integrated National Guidelines 2013 for Prevention and Management of HIV, STIs & Other Blood Borne Infections in accordance with the last guidelines of the World Health Organization (WHO) published in June 2013 and adapted to the Rwandan national context. It thus responds to the need by th...e Ministry of Health to improve skills of actors in the health sector as well as the quality of care and treatment offered in both public and private health facilities countrywide.
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Regional Network for Equity in Health in east and southern Africa (EQUINET): Disussion Paper 111
The health services delivery system in Zambia is pyramid in structure, with primary healthcare (PHC) services at community level, at the base, followed by first and second level hospitals at distric...t and provincial levels, respectively, and third level (tertiary) services at national level. Notably, primary health services are free in Zambia and health service providers are either governmentowned or not-for-profit facilities.
Over the years, resource constraints have affected the quality and extent of healthcare services at all levels, requiring the mobilisation of additional resources for the sector. In doing so, prioritisation was high on the agenda of health sector reform. The EHB, therefore, prioritises interventions with the highest impact on the population, enabling policy makers to revisit priority diseases and conditions and to cost the services provided at each level of facility. Other key issues in developing the EHB in Zambia have included the need to have cost-effective services and cost per capita of services for more systematic budgeting, to rank interventions and to validate and cost the health benefit package as a whole.
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Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country.... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines.
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Vitamin A supplementation (VAS) programs targeted at children aged 6–59 months are implemented in many countries. By improving immune function, vitamin A (VA) reduces mortality associated with measles, diarrhea, and other illnesses. There is currently a debate regarding the relevance of VAS, but a...midst the debate, researchers acknowledge that the majority of nationally-representative data on VA status is outdated. To address this data gap and contribute to the debate, we examined data from 82 countries implementing VAS programs, identified other VA programs, and assessed the recentness of national VA deficiency (VAD) data.
Article published in: Nutrients, 2017, 9, 190
https://doi.org/10.3390/nu9030190
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This publication outlines public health aspects of alcohol use and harm in WHO South East Asia Region Countries. It summarizes Global Regional and country specific data and also discusses aspects of alcohol control that are important in the context of the Region. The possible future trend of alcohol... use in the Region is also analysed and current and future barriers to effective alcohol control in countries of the Region are discussed.
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd September 2014 and concluded on 17th October 2014, in ...all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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