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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
you can find all 14 Technical Booklets on Inclusive Education, produced by UNICEF, in ENGLISH. Other versions can be found on the website https://www.ded4inclusion.com/inclusive-education-resources-free/unicef-inclusive-education-booklets-and-webinars-english-version. Each Technical Booklet (and com
...
panion webinar) introduces a sub-theme of particular interest within Inclusive Education, and each was written by an expert, and peer-reviewed widely
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salud pública de méxico / vol. 50, suplemento 2 de 2008, pp.167-177.
In response to the emerging global concern regarding health and people with intellectual disabilities (ID), several developed countries have established national initiatives to address the unique health needs of this population
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segment. However, most people with ID reside in countries with developing economies, such as many Latin American countries, yet there is virtually no information on the health of people with ID in these regions. Countries with developing economies face distinct challenges in promoting health among this population segment that may preclude adoption or adaptation of policies and practices developed in regions with established economies. This paper will address the issue of health promotion among people with ID in Latin America, an area that is undergoing significant reforms in both health care and disability rights
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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
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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
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This document provides guidance for countries on how to implement activities to achieve the interruption of yaws transmission. It is intended for use by national yaws eradication programmes, partners involved in the implementation of yaws eradication activities and WHO technical staff who provide te
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chnical support to countries in the eradication of yaws.
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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
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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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Four simple steps to practice quality improvement at health facility level
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
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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.
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Malaria Indicator Survey
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
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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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