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This report summarizes the findings of the 2010 Rwanda Demographic and Health Survey (RDHS). The 2010 Rwanda Demographic and Health Survey (RDHS) w
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as designed to provide data for monitoring the population and health situation in Rwanda. The 2010 RDHS is the fifth Demographic and Health Survey to be conducted in Rwanda (DHS in 1992, 2000, and 2005 and Interim DHS in 2007-08). The objective of the survey was to provide up-to-date information on fertility, family planning, childhood mortality, nutrition including anemia testing, maternal and child health, domestic violence, malaria including malaria testing, maternal mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections, and HIV prevalence.
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Further Analysis of the 2000, 2005, 2010, and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 106
Further Analysis of the 2014 Cambodia Demographic and Health Survey | DHS Further Analysis Reports No. 105
Further Analysis of the 2010 and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 104
Trends in Neonatal Mortality in Rwanda, 2000-2010
Winter, Rebecca, Thomas Pullum, Anne Langston, Ndicunguye V. Mivumbi, Pierre C. Rutayisire, Dieudonne N. Muhoza, and Solange Hakiba
Calverton, Maryland, USA: ICF International.
(2013)
C2
DHS Further Analysis Reports No. 88 - This further analysis examines levels, trends, and determinants of neonatal mortality in Rwanda, using data from the 2000, 2005, and 2010 Rwanda Demographic and
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Health Surveys (RDHS).
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Trends and Determinants of Unmet Need for Family Planning and Programme Options, Ethiopia.
Ayele, Wondimu, Habtamu Tesfaye, Roman Gebreyes, and Tesfayi Gebreselassie
ICF International
(2013)
C2
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 81
Further Analysis of the 2000, 2005, and 2011 Demographic Health Surveys. DHS Further Analysis Reports No. 72
Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
The intended purpose of this compendium is to provide program managers, organizations, and policy makers with a menu of indicators to better “know their HIV epidemic/know their response” from a
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gender perspective. The indicators in the compendium are all either part of existing indicators used in studies or by countries or have been adapted from existing indicators to address the intersection of gender and HIV. The indicators can be measured through existing data collection and information systems (e.g. routine program monitoring, surveys) in most country contexts, though some may require special studies or research.
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The 2010-2011 National Annual Report on HIV program presents the progress in implementing the st
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rategies and activities articulated in the National Strategic Plan on HIV and AIDS 2009-2012 commonly referred to as the HIV NSP. The report presents consolidated information regarding the outputs in the second year of implementing the four year strategy. This report will serve to inform the Mid Term Review of the HIV NSP 2009-2012.
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The 2011-2012 National Annual Report on HIV program presents the progress in implementing the st
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rategies and activities articulated in the National Strategic Plan on HIV and AIDS 2009-2012, commonly referred to as the HIV NSP.
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Rwanda 2010: A Dramatic Change in Reproductive Behavior
Westoff, C.F., F. Ngabo, C. Munyanshongore, M.A. Umubyeyi, and E. Kagame
Calverton, Maryland, USA: ICF International.
(2013)
C2
DHS Further Analysis Reports No. 90 - In Rwanda, between 2005 and 2010, there have been radical declines in the desired number of children, actual fertility, and child mortality along with a large i
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ncrease in contraceptive prevalence. This study reviews trends in some of these measures. Multivariate analyses evaluate the relative importance for
the desired number of children of years of schooling, wealth, urban residence, media exposure, child mortality, and attitudes toward gender equality. Variations in reproductive preferences, the total fertility rate, and unmet need for family planning are mapped for the 30 districts of Rwanda. The explanations for the rapid changes in reproductive attitudes and behavior are clearly related to the concerns of the country, the rapid rate of population growth, and its implications for economic development and reproductive health.
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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, enab ... ling, 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, enab ... ling, 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
HIV Knowledge and Risky Sexual Behavior among Men in Rwanda
Rugigana, Etienne, Francine Birungi, and Manassé Nzayirambaho
Rockville, Maryland, USA: ICF International
(2014)
C2
DHS Working Papers No. 105 - Rwanda has developed and implemented many strategies at the national level to reduce the incidence of HIV in
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the general population. One of the main objectives of such interventions is to improve the general level of knowledge of HIV, with the hypothesis that increasing HIV knowledge will reduce risky sexual behavior. However, there has been a concern that HIV knowledge may not necessarily reduce risky sexual behavior. Only a limited number of population-based studies describe the results of these interventions in terms of how HIV knowledge affects risky sexual behavior. Therefore, the aim of this paper is to fill in this gap, by exploring HIV knowledge and its effect on risky sexual behavior among men in Rwanda.
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USAID/KENYA Evaluation Services and Program Support (ESPS)
The United States Agency for International Development (USAID) has a solid track record of supporting health and development initiativ ... es in Kenya. AIDS, Population, and Health Integrated Assistance (APHIA) is the agency’s flagship health initiative in the country. APHIA is currently in its third iteration, APHIAPlus, which began in January 2011 and is slated to end in December 2015. APHIAPlus was designed to contribute to Result 3 (“Increased use of quality health services, products, and information”) and Result 4 (“Social determinants of health”) of USAID/Kenya’s implementation framework. The main technical areas of focus are HIV/AIDS; malaria; family planning (FP); tuberculosis (TB); maternal, newborn, and child health (MNCH); and water, sanitation, and hygiene (WASH). more
The United States Agency for International Development (USAID) has a solid track record of supporting health and development initiativ ... es in Kenya. AIDS, Population, and Health Integrated Assistance (APHIA) is the agency’s flagship health initiative in the country. APHIA is currently in its third iteration, APHIAPlus, which began in January 2011 and is slated to end in December 2015. APHIAPlus was designed to contribute to Result 3 (“Increased use of quality health services, products, and information”) and Result 4 (“Social determinants of health”) of USAID/Kenya’s implementation framework. The main technical areas of focus are HIV/AIDS; malaria; family planning (FP); tuberculosis (TB); maternal, newborn, and child health (MNCH); and water, sanitation, and hygiene (WASH). more
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 ... 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. more
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 ... 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. more
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 us ... ed 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. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally us ... ed 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. more
Demographic and Health Survey - Kyrgyz Republic
USAID; UNFPA; STAT.KG
(2013)
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National Statistical Committee of the Kyrgyz Republic Bishkek, Kyrgyz Republic
Ministry of Health Bishkek, Kyrgyz Republic
MEASURE DHS
ICF International Calverton, Maryland, U.S.A.
Submitted to the US Agency for International Development by the Systems for Improved Access to Pharmaceuticals and Services (SIAPS) Program. Arling
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ton, VA: Management Sciences for Health. Submitted to the United Nations Children’s Fund by JSI, Arlington, VA: JSI Research & Training Institute, Inc.
This guide will assist program managers, service providers, and technical experts when conducting a quantification of commodity needs for the 13 reproductive, maternal, newborn, and child health commodities prioritized by the UN Commission on Life-Saving Commodities for Women and Children. This quantification supplement should be used with the main guide—Quantification of Health Commodities: A Guide to Forecasting and Supply Planning for Procurement. * This supplement describes the steps in forecasting consumption of these supplies when consumption and service data are not available; after which, to complete the quantification, the users should refer to the main quantification guide for the supply planning step.
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This study, and similar studies in Kenya, Mozambique, Swaziland, Uganda, and Zambia is the outcome of close collaborative by a team in Swaziland, with technical and financial support from the UNAIDS
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Regional Support Team for Eastern and Southern Africa, UNAIDS Geneva, and the World Bank's Global HIV/AIDS Program (Global AIDS Monitoring and Evaluation Team). The study entailed using existing data and collecting new data to better know the country's HIV epidemic, know the country HIV response and how funding was allocated, so as to improve the HIV response and strengthen prevention based on evidence on what works to prevent new infections.
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