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
Testimonies from Humanitarian Workers with Disabilities.
By reading the first-hand accounts, we hear how persons with disabilities, not through any particular talent or skill but from unique knowledge gained through life experience, are ideally placed to provide insights, ideas and leadership, to s...upply essential data, and to fill the gaps in humanitarian response that cause this exclusion.
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
Accessed on 29.01.2020
La volonté du CEA-SAMEF à développer des programmes de formation de qualité et des domaines de compétences ciblées a rendu nécessaire l’adoption de référentiels aux exigences internationales. Dans la mise en œuvre de son programme d’accréditation, le CEA-SA...MEF a procédé à l’alignement de son offre de formation aux référentiels nationaux, régionaux et internationaux, de façon à rendre éligibles les programmes à l’accréditation.
more
Joint Action for Results
UNAIDS Outcome Framework: Business Case 2009–2011
The Compendium brings together for the first time key consensus-based policy recommendations and guidance to improve the delivery of proven interventions to women and children. The user-friendly format incorporates icons and tabs to present key health-related policies that support the delivery of es...sential RMNCH interventions. It also includes multisectoral policies on the economic, social, technological and environmental factors that influence health outcomes and service delivery. The Policy Compendium is a companion document to the Essential Interventions, Commodities and Guidelines for RMNCH.
more
Commitment objective
The Government of Myanmar views family planning as critical to saving lives, protecting mothers and children from death, ill health, disability, and under development. It views access to family planning information, commodities, and services as a fundamental right for every... woman and community if they are to develop to their full potential.
• Increase CPR from 41 percent to 50 percent by 2015 and above 60 percent by 2020
• Reduce unmet need to less than 10 percent by 2020 (from 12 percent in 2013)
• Increase demand satisfaction from 67 percent in 2013 to 80 percent by 2020
more