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(August 28 – October 10, 2017)
A nutrition and mortality assessment using SMART methodology was applied and the survey covered 15 statistical (14 districts plus 1) domains countrywide. The main objective of the survey was to assess the current nutrition status of the population, especially ch ... ildren 6-59 months old and women of reproductive age (15-49 years of age). The survey also looked at the major contextual factors contributing to undernutrition such as infant and young child feeding (IYCF) practices; food security indicators; water, sanitation and hygiene indicators; and health situation in Sierra Leone more
A nutrition and mortality assessment using SMART methodology was applied and the survey covered 15 statistical (14 districts plus 1) domains countrywide. The main objective of the survey was to assess the current nutrition status of the population, especially ch ... ildren 6-59 months old and women of reproductive age (15-49 years of age). The survey also looked at the major contextual factors contributing to undernutrition such as infant and young child feeding (IYCF) practices; food security indicators; water, sanitation and hygiene indicators; and health situation in Sierra Leone more
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.
more
Final report 2016
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
more
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.
more
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.
more
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
more
In 2015, the National Institute of Statistics of Rwanda published the Rwanda Poverty Profile Report 2013/2014,which provided a detailed portrait of the extent and nature of poverty in the country, based on information collected by an integrated household living conditions survey (EICV4) undertaken b
...
etween October 2013 and September 2014.
This report complements the study by looking at the trends in poverty between 2010/11 and 2013/14.It is essential to examine changes in poverty over time, because one of the most important goals of economic Sustainable Development Goals is to eliminate severe poverty by 2030.
more
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
...
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 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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Manuel de Géstion à l'usage des gestionnaires de médicaments et des membres des Comités de Gestion
Pharmacient sans Frontières
Ministère de la Santé; Direction des Pharmacies et du Médicament; République du Bénin
(2016)
C2
Gestion de la Pharmacie dans les Centres de Santé au niveau périphérique
Ce document présente des recommandations sur les soins cliniques et le dépistage du virus chez les survivants de la maladie à virus Ebola. Il s'adresse principalement aux professionnels de santé qui dispensent des soins primaires aux personnes ayant survécu.
Table des matières
... 1. Introduction
2. Planifier le suivi d'un survivant
3. Séquelles courantes de la maladie à virus Ebola et recommandations pour l’évaluation et la prise en charge
4. Considérations pour les populations spéciales
5. Surveillance de l’infection due à la persistance du virus Ebola chez les survivants
6. Considérations sur la prévention et le contrôle de l’infection chez les survivants
7. Considérations relatives à la communication des risques more
Table des matières
... 1. Introduction
2. Planifier le suivi d'un survivant
3. Séquelles courantes de la maladie à virus Ebola et recommandations pour l’évaluation et la prise en charge
4. Considérations pour les populations spéciales
5. Surveillance de l’infection due à la persistance du virus Ebola chez les survivants
6. Considérations sur la prévention et le contrôle de l’infection chez les survivants
7. Considérations relatives à la communication des risques 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 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
Replacement of Annex 2 of WHO Technical Report Series, No. 964
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This report documents the findings from the Behavioral Surveillance Survey conducted among youuth aged 15-24 in Rwanda in 2009. The 2009 Youth BSS documented HIV knowledge, attitudes, and behaviors (KAB) among youth in Rwanda. The data provided a cross-sectional look at the current HIV KAB among yo
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uth, and allowed for changes over time to be detected when analyzing these data against the results of the 2006 Youth BSS.
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The 2011-2012 National Annual Report on HIV program presents the progress in implementing the strategies and activities articulated in the National Strategic Plan on HIV and AIDS 2009-2012, commonly referred to as the HIV NSP.
