DHS Analytical Studies No. 39
This is the fifteenth edition of the lecture notes. They were first published in 1987 as a summary of the material used in the biannual epilepsy teaching weekend organised under the auspices of the UK Chapter of the International League against Epilepsy.
(Lecture series consist of a total of 59 cha...pters. Section one - introduction (chapter 1-2). Section two - basic science (chapters 3-5). Section (chapters 6-16). Section four - differential diagnosis (chapter 17-19). Section five - investigations (chapter 20-24). Section six - medical treatment of epilepsy (chapters 25-35). Section seven - outcome (chapters 36-40). Section eight - special groups (chapters 41-44). Section nine - surgical treatment of epilepsy (chapters 45-49). Section ten - social aspects (chapters 50-56). Section eleven - provision of care (chapters 57-59). All chapters available at: https://www.epilepsysociety.org.uk/lecture-notes-0#.Wq-cn8NubIU)
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Published: April 26, 2017 https://doi.org/10.1371/journal.pone.0176004
This report, published in conjunction with a summary overview of results of rounds 1–8, is the eighth and final report in a series of laboratory-based evaluations of rapid diagnostic tests (RDTs) for malaria. It provides a comparative measure of their performance in a standardized way to distingu...ish between well and poorly performing tests.
These results constitute the laboratory evaluation component of the WHO prequalification process for malaria RDTs and inform the current WHO procurement recommendations. In round 8, 35 RDTs from 17 manufacturers were assessed. For the first time the evaluation included an assessment of product performance against a panel of P. falciparum parasites with pfhrp2/3 gene deletions and therefore not expressing HRP2.
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Available in English, French and Spanish
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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Effective malaria prevention is threatened by widespread and increasing vector insecticide resistance. Failure to mitigate this threat will likely result in an increased burden of disease, with significant cost implications. This new framework provides support for the development of a national insec...ticide resistance monitoring and management plan as part of a national malaria strategic plan.
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and ...access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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The WHO Global strategy on human resources for health: workforce 2030 encourages development partners and global health initiatives to leverage their support to health systems in countries to sustainably strengthen the health workforce. To assess the impact of these investments, a methodology was de...veloped and pilot tested by WHO.
The impact assessment tool (consisting of an MS Excel calculator with two subsets) supports users to:
• assess and quantify the health impact of HRH investments made in the context of HIV, tuberculosis (TB) and malaria programmes through their modelled effect on health service coverage of these three diseases; and
• provide aggregate indicative estimates of the range of health workers required to attain high coverage of selected health services.
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The Global Status Report on Noncommunicable Diseases (NCDs) 2014 by the World Health Organization outlines the global impact of NCDs, including cardiovascular diseases, cancer, diabetes, and chronic respiratory diseases, which are responsible for a significant portion of global mortality, particular...ly in low- and middle-income countries.
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Supplement to the Healthcare Waste Management Toolkit for Global Fund
Practitioners and Policy Makers
R4D conducted a thorough desk review and qualitative fiscal space analysis, 19 interviews about financing for the three diseases and the extent of alignment between public financial management systems and health policy objectives, and a validation workshop with government officials.
Tanzania’...s disease response faces a triple transition challenge: replacing donor funding, closing the resource gap that would exist even with donor funding, and more efficiently delivering on disease response objectives.
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The report explores strategies for sustaining the country’s responses to the three diseases and eventually transitioning away from external funding and programmatic support. It takes stock of Kenya’s health financing landscape and identifies opportunities and challenges for sustaining effective ...coverage of HIV, TB, and malaria services in the long run, mindful of macro-fiscal and institutional constraints. The report informs ongoing dialogue within government, including among the Ministry of Health, National Treasury, Council of Governors, and National AIDS Control Council, as well as between government and development partners.
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DHS Working Papers No. 106
General fact sheet in booklet form about the 2014-2015 Demographic and Health Survey conducted in Rwanda. The 2014-15 Rwanda Demographic and Health Survey (RDHS) provides data for monitoring the health situation of the population in Rwanda. The 2014-15 RDHS is the 5th Demographic and Health Survey c...onducted in the country. The survey is based on a nationally representative sample. It provides estimates at the national and provincial levels, as well as for urban and rural areas, and for some, at the district level.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction Strategy (EDPRS), the Millennium Development Goals ...(MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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