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In 2018, the Food and Agriculture Organization of the United Nations (FAO) in South Sudan must respond to the highest levels of food insecurity ever recorded in the country. To address this challenge, FAO revised its multiyear Emergency Livelihood Response Programme (ELRP) to enable rapid food produ
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ction among the most vulnerable communities, protect their livelihoods and reduce dependency on humanitarian aid while building their resilience.
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WHO-SEARO in partnership with WHOCC AIIMS, UNICEF, UNFPA and USAID has prepared a training package for building capacity of healthcare teams in health facilities for continous quality improvement of maternal and newborn healthcare. The focus is on the care of mothers and newborns at the time of chil
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d birth since a large proportion of maternal deaths, newborn deaths and stillbirths happen around that time.
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Improving the quality of care for mothers and newborns in health facilities: learner's manual. Version 02.
World Health Organization (WHO), Regional Office for South-East Asia
WHOCC AIIMS, UNICEF, UNFPA and USAID
(2017)
C_WHO
A training package for building capacity of healthcare teams in health facilities for continous quality improvement of maternal and newborn healthcare. The focus is on the care of mothers and newborns at the time of child birth since a large proportion of maternal deaths, newborn deaths and stillbir
...
ths happen around that time.
The 4-Step POCQI (Point of care Quality Improvement) package includes Coaching manual and Learner manual that present a demystified and simple model of quality improvement at the level of health facilities using local data to identify quality gaps, analyse underlying causes and improve health care practices in their own specific context without much additional resources.
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Evidence-to-Decision and Grade tables
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
Overview: Risk communication and community engagement are essential for any disease outbreak response. This is particularly critical during outbreaks of Ebola which may create fear in the public and frontline responders alike due to severe presentation of symptoms, misunderstanding of the causes of
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illness and high fatality rates. This document outlines some of the key considerations for risk communication and community engagement response to Ebola outbreak in Democratic Republic of the Congo.
Ebola outbreaks have been associated with misinformation and false rumours. In the context of RCCE, rumours refer to unsubstantiated information, claims or beliefs about what is causing the disease or how it can be treated/cured. If not proactively addressed in culturally appropriate ways, misinformation and rumours can lead to the further rapid spread of the disease and unnecessary deaths, severe disease, suffering, and societal and economic loss.
The publication includes a 'Rumour Tracking Tool' (Annex II).
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This document outlines Rwanda's policy on non-communicable diseases. The overall goal of NCDs Policy is to alleviate the burden of NCDs and their risk factors and protect Rwandan population from premature morbidity and mortality related to NCDs. This policy was developed through a series of consulta
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tive meetings and workshops of NCDs' core team members of MOH and RBC, National Technical Working Group (TWG), all implementing and non implementing partners and other development partners. This policy was developed in line with the Millennium Development Goals (MDGs), Vision 2020, Rwanda Economic Development Poverty Reduction Strategy (EDPRS II) of 2013-18 and NCDs Global Action Plan 2013-2020 and national Health Policy. This policy focuses on of the following NCDs: Cardiovascular diseases, Chronic Pulmonary Diseases (CPD), Cancers, Diabetes, injuries and disabilities, oral, eye and kidney diseases.
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This policy will serve as a cornerstone from which to address the accessibility of Family Planning services and to encourage its integration with services for HIV/AIDS, maternal health, child health, and other development initiatives. This policy is timely, as Rwanda is embarking on the introduction
...
of community-based provision of Family Planning through community health workers. In addition, the expansion of adolescent sexual and reproductive health programs is a pillar of this policy that will help attract and retain the next generation of Family Planning users. These efforts are anticipated to trigger a paradigm change in the way Family Planning services are provided and accessed in order to contribute towards a healthy and productive Rwanda for all.
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To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and work. It is in this particular context that a case
...
study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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These guidelines for the National Pharmacovigilance and Medicine Information System in Rwanda have been developed to ensure that safe, efficacious and quality medicines are made available to all Rwandans.
Nepal is on target to meet the Millennium Development Goals for maternal and child health despite high levels of poverty, poor infrastructure, difficult terrain and recent conflict. Each year, nearly 35000 Nepali children die before their fifth birthday, with almost two-thirds of these deaths occurr
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ing in the first month of life, the neonatal period. As part of a multi-country analysis, we examined changes for newborn survival between 2000 and 2010 in terms of mortality, coverage and health system indicators as well as national and donor funding.
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