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Publication Years
1
1967
3760
489
18
3
Category
1933
484
419
385
356
151
44
2
Toolboxes
596
462
375
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Guidelines for cognitive and pilot testing of questions for use in surveys
Statistics Division Economic and Social Commission for Asia Pacific Region
Washington Group on Disability Statistics
(2010)
CC
ESCAP Project on improving disability measurement and statistics in the Asia Pacfic Region
A review of Save the Children’s work to promote the rights of children with disabilities
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
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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
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Making education more inclusive requires schools and education authorities to remove the barriers to education experienced by the most excluded children - often the poorest, children with disabilities, children without family care, girls, or children from minority groups. Also included in the text a
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re examples of children from very remote areas, girls excluded from school, children from ethnic groups, children with language barriers, and children in countries affected by conflict.
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Third edition.
The main changes within the third edition of the JEE tool include the split of the technical area National legislation, policy, and financing into two technical areas (Legal instruments and Financing); the drop of the technical area previously titled Reporting and the move of indicat
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ors to the technical area IHR coordination, National IHR Focal Point and advocacy; and the merging of two previous technical areas (Emergency preparedness and Emergency operations centre) into a single one named Health emergency management.
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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 Journal of Infection in Developing Countries 7(3):289-292
This statement presents the 2018 definition of skilled health personnel providing care during childbirth (also widely known as a “skilled birth attendants” or SBAs). It results from the recent review and revision of the 2004 joint statement by WHO, FIGO and ICM – Making pregnancy safe: the cri
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tical role of the skilled attendant.
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This report presents the findings of the Estimating the Size of Populations through a Household Survey (ESPHS) study that took place in 2011. The study utilized a single household survey to estimate the size of several key populations, including sex workers, men who have sex with men (MSM), injectin
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g drug users (IDU), and clients of sex workers. These populations include several groups outlined in the National Strategic Plan for HIV and AIDS as most at risk for HIV infection, specifically sex workers and MSM.
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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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2016 revision
