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DHS Working Papers No. 90.
DHS Analytical Studies No. 55.
IN THE AMOUNT OF SDR 21.8 MILLION (US$30 MILLION EQUIVALENT) WITH AN ADDITIONAL GRANT FROM THE GLOBAL FINANCING FACILITY (GFF) IN THE AMOUNT OF US$ 10 MILLION TO THE DEMOCRATIC REPUBLIC OF CONGO FOR A HUMAN DEVELOPMENT SYSTEMS STRENGTHENING PROJECT
UNICEF’s support for data collection: the Multiple Indicator Cluster Surveys (MICS)
The substantial burden of death and disability that results from interpersonal violence, road traffic injuries, unintentional injuries, occupational health risks, air pollution, climate change, and inadequate water and sanitation falls disproportionally on low- and middle-income countries. Injury Pr
...
evention and Environmental Health addresses the risk factors and presents updated data on the burden, as well as economic analyses of platforms and packages for delivering cost-effective and feasible interventions in these settings. The volume's contributors demonstrate that implementation of a range of prevention strategies-presented in an essential package of interventions and policies-could achieve a convergence in death and disability rates that would avert more than 7.5 million deaths a year
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Large File: 85 MB!!!. Please download directly from the website link
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.
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This report provides an update on the level of poverty based on 2013/14 Integrated Household Living Conditions Survey (EICV4) focusing on poverty as measured in consumption terms. The report also highlights other trend dimensions of living conditions captured in other surveys that complement and pro
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vide a holistic understanding of poverty and living conditions.
Rwanda’s economy has been growing steadily at about 8% since 2001 with GDP per capita more than tripling from US$ 211 in 2001 to US$ 718 in 2014. Food crop production growth was more than twice that of population growth between 2007 and 2014.
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To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and work. It is in this particular context that a case
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study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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This document, Ghana’s National Newborn Health Strategy and Action Plan 2014–2018 outlines a targeted strategy for accelerating the reduction of newborn deaths in Ghana. Furthermore it provides a costed action plan with clearly marked timelines for implementation to facilitate resource mobilisat
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ion, monitoring and evaluation, and scaling up of proposed newborn interventions. It is expected that all stakeholders working towards improving the health of children in Ghana will buy into this plan and collaborate towards attainment of the goals and objectives outlined here.
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The Newborn Situational Analysis reports of 2009 and 2011, as well as the “Bottleneck analysis on neonatal health” of 2013, culminated in the Nigeria launch of “Call to action on Newborn health” at the first National Newborn Health Conference in 2014. This call to action provided the framewo
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rk for the development of the Nigeria Every Newborn Action
Plan (NiENAP). The NiENAP lays out a vision to end preventable stillbirths and newborn deaths by accelerating progress and scaling up evidence- based high-impact and cost effective interventions. The plan is guided by the principles of country-leadership, integration, accountability, equity, human rights, innovation and research. This blue print outlines our commitment as government and stakeholders to repositioning newborn health as we implement approaches that impact on the lives of newborns for improved health outcome.
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Inclusive Project Cycle Management
The overall aim of the study was to understand the acceptability and usefulness of PHC clinical placements for nursing and midwifery students.