The 2007 Rwanda Service Provision Assessment (RSPA) was a national representative survey conducted in 538 health facilities throughout Rwanda. The survey covered hospitals, health centers, dispensaries and
health posts, including all public facilities such as government and government-assisted heal...th facilities. The 2007 RSPA used interviews with health service providers and clients and observations of provider client consultations to obtain information on the capacity of facilities to provide quality services and the existence of functioning systems to support quality services. The areas addressed were the overall facility
infrastructure, maternal and child health, reproductive health, tuberculosis, malaria services; and services for sexually transmitted infections and HIV/AIDS. The objective was to assess the strengths and
weaknesses of the infrastructure and systems supporting these services, and to assess the adherence to standards in the delivery of services.
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This report provides an overview of the Key findings of the Rwanda 2014-2015 Demographic and Health Survey (RDHS). The 2014-15 Rwanda Demographic and Health Survey (RDHS) was designed to provide data for monitoring the population and health situation in Rwanda. The 2014-15 RDHS is the fifth Demogra...phic and Health Survey
conducted in Rwanda since 1992. The objective of the survey was to provide reliable estimates of fertility levels, marriage, sexual activity, fertility preferences, family planning methods, breastfeeding practices, nutrition, childhood and maternal mortality, maternal and child health, early childhood development, malaria, domestic violence, and HIV/AIDS and other sexually transmitted infections (STIs) that can be used by program managers and policymakers to evaluate and improve existing programs.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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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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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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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 Southern province
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Standard Operating Procedures | RBC/IHDPC/EID Division | 9/30/2011
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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A catalyst for transformation in the United Nations to deliver health results for women, children and adolescents in support of the Sustainable Development Goals
An historic opportunity to end AIDS as a public health threat by 2030 and launch a new era of sustainability
A decade of progress has inspired the once unthinkable—that the AIDS epidemic can be ended as a public health threat. The global community has embraced the bold idea to end the AIDS ep...idemic as a target of the 2030 Agenda for Sustainable Development. Governments from around the world have committed to a Fast-Track agenda and a set of ambitious but attainable milestones to be achieved by 2020 in order to end the AIDS epidemic by 2030, as set out in the United Nations General Assembly Political Declaration on Ending AIDS. Regular reporting through UNAIDS reinforces accountability for results.
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Fact sheet
Good hygiene is critical to ensure that healthcare staff provide quality care, reduce the spread of infections, and protect the health of communities. This fact sheet explores the healthcare-related risks of poor hygiene and the critical elements of hand hygiene needed to improve qua...lity of care and reduce negative outcomes of poor compliance (e.g., healthcare-associated infections and antimicrobial resistance) in healthcare facilities, and provides recommendations and additional readings for improving hygiene in health settings and achieving a safe, clean healthcare environment.
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This document sets out Rwanda's Maternal, Neonatal Child Health (MNCH) national strategy (July 2013- June 2018). The MNCH strategy provides a framework for addressing maternal, neonatal and child health challenges currently facing Rwanda. It is an overarching strategy for scale up of the national re...sponse to reduce the current levels of maternal, neonatal and child mortality and morbidity in line with the
MDG health related targets and HSSP III targets. The life cycle approach and continuum of care concept, starting with care from the home environment to health facility, guided the development of this roadmap. It aims also to maintain and expand the coverage of cost effective and high impact interventions for maternal, neonatal and child survival in order to achieve national and international targets.
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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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