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The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objective of the 2013 Rwanda Malaria Indicator Survey (2013 RMIS) was to provide up-to date information on th
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e prevention of malaria to policymakers, planners, and researchers.
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March - December 2018
The Government of Bangladesh has kept its borders open to Rohingya refugees and leads the humanitarian response. The people of Bangladesh continue to show tremendous generosity and hospitality in the face of a massive influx. In keeping with its policies, the Government of Ban
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gladesh refers to the Rohingya as “Forcibly Displaced Myanmar Nationals”, in the present context. The UN system refers to this population as refugees, in line with the applicable international framework for protection and solutions, and the resulting accountabilities for the country of origin and asylum as well as the international community as a whole. In support of these efforts, the humanitarian community has rapidly scaled up its operations as well. Over a two-month period, the refugee population in Cox’s Bazar more than quadrupled.
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The unmet need for palliative care in Cox’s Bazar
Malaria Indicator Survey
Background document to the 2018 joint statement by WHO, UNFPA, UNICEF, ICM, ICN, FIGO and IPA: definition of skilled health personnel providing care during childbirth
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat
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al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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HIV Knowledge and Risky Sexual Behavior among Men in Rwanda
Rugigana, Etienne, Francine Birungi, and Manassé Nzayirambaho
Rockville, Maryland, USA: ICF International
(2014)
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DHS Working Papers No. 105 - Rwanda has developed and implemented many strategies at the national level to reduce the incidence of HIV in 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
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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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Final report 2016
This report provides an update on the level of poverty based on 2013/14 Integrated Household Living Conditions Survey (EICV4) focusing on poverty as measured in consumption terms. The report also highlights other trend dimensions of living conditions captured in other surveys that complement and pro
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vide a holistic understanding of poverty and living conditions.
Rwanda’s economy has been growing steadily at about 8% since 2001 with GDP per capita more than tripling from US$ 211 in 2001 to US$ 718 in 2014. Food crop production growth was more than twice that of population growth between 2007 and 2014.
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The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan
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da towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
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The strategic plan reflects shared commitments to enhance collaboration between environmental, animal (wildlife and domestic) and human health, and building new One Health workforce capacity through higher institutions of learning. The strategy also outlines interventions to be undertaken by governm
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ent institutions and other partners to enhance existing structures and pool together additional resources to prevent and control zoonotic diseases and other events of public health importance. Successful implementation of the strategy will contribute to the realization of vision 2020 by improving public health, food safety and security, and hence significantly improve the socioeconomic status of the people of Rwanda. It is in this regard that we call upon implementing institutions, bilateral and multilateral partners, civil society and the private sector to join us in implementing the One Health strategy in Rwanda.
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This Policy for community-based health insurance answers the will of the Rwandan government to popularize the fundamental aces of the current policy. This document serves as an update to the first policy that was elaborated and published in 2004, and integrates all the changes that have occurred in
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the process since then. This new version of the policy for community based health insurance contributes to the fulfillment of the same objectives as the EDPRS and the Millennium Development Goals (MDG). It integrates system experiences but more especially the devices adapted to the challenges with which community base health insurance are confronted at present.
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This guide presents new knowledge and guidelines on the provision of care to persons living with HIV/AIDS, in accordance with the last guidelines of the World Health Organization (WHO) published in 2006 and adapted to the Rwandan national context. It thus responds to the need by the Ministry of Heal
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th to improve the skills of the actors in the health sector as well as the quality of care and antiretroviral treatment offered in both public and private health facilities countrywide.
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The aim of the Annual Inspection Report is to present findings of public sector health establishments inspected by the OHSC to monitor compliance with the National Core Standards (NCS) during the 2016/2017 financial year in South Africa.
The NCS define fundamentals for quality of care based on six
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dimensions of quality: Acceptability,Safety, Reliability, Equity, Accessibility, and Efficiency.
The NCS structured assessment tools were used to collect data during inspections across the seven domains namely: Patient Rights; Patient Safety, Clinical Governance and Clinical Care; Clinical Support Services; Public Health; Leadership and Governance; Operational Management and Facilities and Infrastructure. A total of 851 routine inspections were conducted with 201 of these facilities re-inspected. Inspection data was captured on District Health Information System (DHIS) data entry forms and exported for analysis to Statistical Analysis Software (SAS) version 9.4.
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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 national average on all maternal health indicators in this study, while other highpriority counties consist ... ently 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 national average on all maternal health indicators in this study, while other highpriority counties consist ... ently 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. 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 delive ... ry, 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 delive ... ry, 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
A guide to increasing coverage and equity in all communities in the African Region
Expanded Programs on Immunization (EPI) is responsible for vaccines and vaccination to control, eliminate and eradicate vaccine preventable diseases (VPDs). Having strong immunization systems to deliver vaccines ... to those who need them most will play a significant role in achieving the health, equity and economic objectives of several global development goals. more
Expanded Programs on Immunization (EPI) is responsible for vaccines and vaccination to control, eliminate and eradicate vaccine preventable diseases (VPDs). Having strong immunization systems to deliver vaccines ... to those who need them most will play a significant role in achieving the health, equity and economic objectives of several global development goals. more
Mental Health Atlas 2024
recommended
The Mental Health Atlas 2024 is the seventh in a series that began in 2001, and draws on data from 144 countries to assess mental health policies, laws, information systems, financing, workforce and services. It shows little change in investment: mental health accounts for only 2% of health budgets
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, unchanged since 2017. Spending disparities are wide, ranging from US$ 65 per person in high-income countries to US$ 0.04 in low-income countries. Workforce shortages remain critical, with a global median of just 13 workers per 100,000 people, and extreme shortages in low- and middle-income countries
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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. more
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. more
