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This first in a series of Washington Group Implementation Documents covers the tools developed by the Washington Group to collect
internationally comparable disability data on censuses and surveys. WG Implementation guideline Tool 1
WG Implementation Guidelines Tool2
Program Report for Collaborative Agreement: DFD-A-00-08-00309-00 September 30, 2008 -December 31, 2015
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
more
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
...
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.
more
This report outlines the results of a scientific study of the impacts of weather, climate variability, and climate change on health in Mozambique, with a focus on diarrheal disease and malaria.
The unmet need for palliative care in Cox’s Bazar
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
...
tical role of the skilled attendant.
more
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per
...
iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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
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