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1
Publication Years
1
1997
4165
550
17
1
1
Category
2263
445
421
377
334
204
64
12
2
2
Toolboxes
608
489
417
345
310
272
221
219
209
195
193
193
141
129
125
108
101
62
48
42
41
37
33
6
2
1
A fact sheet from the National Academies and the U.S. Department of Homeland Security on human pathogens, biotoxins and agricultural threats
Exposure draft for comment October 2013
ICF is WHO's framework for health and disability. It is the conceptual basis for the definition, measurement and policy formulations for health and disability. It is a universal classification of disability and health for use in health and health related sectors. ICF therefore looks like a simple he
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alth classifiation, but it can be used for a number of purposes. The most important is as a planning and policy tool for decision-makers.
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UNICEF Strategic Plan 2018-2021. Draft Theory of Change Paper
Children with disabilities in South Africa: The hidden reality is part of a multiple-country study conducted by ACPF. The study seeks to analyse how cultural, social, physical and other societal barriers prevent children with disabilities from enjoying their constitutional rights to equality, freedo
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m and human dignity. It also seeks to establish opportunities and practices that could be used to address these barriers to enhance disabled children’s participation in society.
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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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Руководство ВОЗ по политике и практике информирования о рисках при чрезвычайных ситуациях (ИРЧС)
(August 28 – October 10, 2017)
A nutrition and mortality assessment using SMART methodology was applied and the survey covered 15 statistical (14 districts plus 1) domains countrywide. The main objective of the survey was to assess the current nutrition status of the population, especially ch ... ildren 6-59 months old and women of reproductive age (15-49 years of age). The survey also looked at the major contextual factors contributing to undernutrition such as infant and young child feeding (IYCF) practices; food security indicators; water, sanitation and hygiene indicators; and health situation in Sierra Leone more
A nutrition and mortality assessment using SMART methodology was applied and the survey covered 15 statistical (14 districts plus 1) domains countrywide. The main objective of the survey was to assess the current nutrition status of the population, especially ch ... ildren 6-59 months old and women of reproductive age (15-49 years of age). The survey also looked at the major contextual factors contributing to undernutrition such as infant and young child feeding (IYCF) practices; food security indicators; water, sanitation and hygiene indicators; and health situation in Sierra Leone 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
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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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