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Webinar.
The purpose of this booklet is to help readers understand why data on children with disabilities are currently inadequate, the difficulties that surround the gathering of high-quality data on disabled children, and why there is a real need to improve the collection, analysis, dissemination
...
and use of disability data.
more
Global Education Review, 3(3).4-27
Teachers for All: Inclusive Teaching for Children with Disabilities Collaborating globally to promote Inclusive Development
Ingrid Lewis and Sunit Bagree
International Disability and Development Consortium’s Inclusive Education Task Group
(2013)
CC
Advancement of the UN CRPD through the 2030 Agenda Towards Implementation in Latin America
International Disability Alliance
UNICEF; UN Partnership to Promote Rights of People with Disabilites
(2016)
Conference Report Sao Paulo, Brazil 22-24 October 2015
This report situates disability and inclusion within the broader context of sustainable development, with a particular focus on the Sustainable Development Goals (SDGs). The paper provides background on the historical role of the UN in promoting inclusion and outlines the current trends and challeng
...
es facing people with disabilities globally. The following section presents these challenges within the context of the SDGs, showing that disability needs to be tackled if the SDGs are to be achieved. It concludes with a number of recommendations for a disability-inclusive 2030 agenda for sustainable development
more
This resource presents "the minimum level of educational quality and access in emergencies through to recovery. The aim of the handbook is to enhance the quality of educational preparedness, response and recovery; to increase access to safe and relevant learning opportunities for all learners, regar
...
dless of their age, gender or abilities; and to ensure accountability and strong coordination in the provision of education in emergencies through to recovery...The INEE Minimum Standards are organised in five domains: Foundation standards; Access and learning environment; Teaching and learning; Teachers and other education; personnel; Education policy". Available in different languages: English, French, Arabic, Azerbajani, Bangla, Indonesia, Bosnian, Coratian, Serbian, Burmese, Chinese, Dari, Japanese, Nepali, Pashto, Portugese, Russian, Spanish, Turkish, Urdu, Vietnamese
more
Background paper for the Oslo Summit on Education for Development.
This paper covers the four topics of the Oslo Summit: investment in education, quality of learning, education in emergencies and girls’ education. Disability continues to be one of the primary causes of educational disadvantage a
...
nd exclusion,
creating the largest single group of girls and boys who remain out of school. Even in those countries
close to achieving universal primary enrolment, children with disabilities are still not in school,accessing opportunities to meaningful employment and on sustainable routes out of poverty
more
The Global Reference List of 100 Core Health Indicators is a standard set of core indicators prioritized by the global community to provide concise information on the health situation and trends, including responses at national and global levels.
This second (2018) edition builds on the previous
...
work of the inter-agency working group that was commissioned by global health leaders to reduce reporting burden. The 2018 list of indicators contains modifications and additions to indicators and metadata elements to reflect the recommended health and health-related indicators of the Sustainable Development Goals, including universal health coverage.
more
The framework is to be used as a reference guide, applied according to local priorities and needs, and targeted at academic institutions, educators, accreditation bodies, regulatory agencies and other users. The ultimate aim is to ensure that all health workers are equipped with the requisite compet
...
encies at pre-service education and in-service training levels to address AMR in policy and practice settings.
more
The main objective of the 2014-15 RDHS was to obtain current information on demographic and health indicators, including family planning; maternal mortality; infant and child mortality; nutrition status of mothers and children; prenatal care, delivery, and postnatal care; childhood diseases; and ped
...
iatric immunization. In addition, the survey was designed to measure indicators such as domestic violence, the prevalence of anemia and malaria among women and children, and the prevalence of HIV infection in Rwanda. For the first time, this 2014-15 RDHS also includes indicators to monitor HIV testing among children age 0-14 as well as domestic violence for males age 15-59.
more
Malaria Indicator Survey
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
...
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.
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
Guide de recensement et de description
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
