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Publication Years
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Category
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Toolboxes
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4
1
Fever Diagnostic Technology Landscape
recommended
1st edition.
Unitaid’s report describes a slate of new devices that can more efficiently identify dangerously ill children so that they can be treated immediately. These tools make it easier to recognize danger signs, and support integrated approaches to reducing childhood deaths from the three
...
greatest childhood killers: malaria, pneumonia and diarrhoea.
The report also highlights tests that can determine whether or not a child has an illness that can be treated with antibiotics. Viral infections are a common cause of childhood fevers, but cannot be cured with antibiotics. Although many children seeking care at clinics have fever, three-quarters by some estimates, only a small fraction of those have an illness that can be treated with an antimalarial or antibiotic drug
more
This manual provides practical guidelines for the management of children with severe malnutrition. It seeks to promote the best available therapy so as to reduce the risk of death, shorten the length of time spent in hospital, and facilitate rehabilitation and full recovery. Emphasis is given to the
...
management of severely malnourished children in hospital and health centres; the management of severely malnourished children in disaster situations and refugee camps and of severely malnourished adolescents and adults is also considered briefly.
more
Barriers to Full Realization of Human Rights for Women and Children with Disabilities
DEVELOPMENT BULLETIN | No.74, June 2011 | Editor: Pamela Thomas | Features and case studies | Progress with implementing conventions and strategies | Progress with capacity building | Progress with disability-inclusive education | Disability-inclusive research | Innovative inclusion | Review of urba
...
nisation in the Pacific | Development assistance and disability
more
MODULE 5 RESOURCE GUIDE | This guide is part of a series of manuals that focuses on six topics in Early Childhood Development (ECD): different programming approaches, basic concepts, assessments, early childhood environments, children with special needs and child protection, and the health, safety a
...
nd nutrition of young children. The series was prepared within a three-year CRS-led project called “Strengthening the Capacity of Women Religious in Early Childhood Development,” or “SCORE ECD.” Funded by the Conrad N. Hilton Foundation, the project helps Catholic sisters in Kenya, Malawi, and Zambia in their work with children aged 0-5 years and their families. The project is being implemented from January 2014 to December 2016
more
Persons with disabilities are one of the most vulnerable and socially excluded groups in any crisis-affected community. They may be in hidden in homes, overlooked during needs assessments and not consulted in the design of programs.4 While gender-based violence (GBV) affects women, girls, men and bo
...
ys, the vast majority of survivors globally are women and girls.5 Persons with disabilities have difficulty accessing GBV programs, due to a variety of societal, environmental and communication barriers, increasing their risk of violence, abuse and exploitation.
more
This handbook is for health care providers involved in the care of girls and women who have been subjected to any form of female genital mutilation (FGM). This includes obstetricians and gynaecologists, surgeons, general medical practitioners, midwives, nurses and other country-specific health profe
...
ssionals. Health-care professionals providing mental health care, and educational and psychosocial support – such as psychiatrists, psychologists, social workers and health educators – will also find this handbook helpful.
more
This handbook aims to give practical guidance to support development organisations to mainstream disability into their work. It is primarily intended for VSO programmes, but could be useful to other development actors interested in mainstreaming disability, such as NGOs, gover
...
nment and donors
more
Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
Data collection – 13th July to 13th September 2015
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 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
