Participant Manual
October 2009
The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health indicators including fertility levels, sexual activity, fertility preferences, awaren...ess and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
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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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The IMCI chart booklet is for use by doctors, nurses and other health professionals who see young infants and children less than five years old. It facilitates the use of the IMCI case management process in practice and describes a series of all the case management steps in a form of IMCI charts.
...These charts show the sequence of steps and provide information for performing them. The IMCI chart booklet should be used by all health professionals providing care to sick children to help them apply the IMCI case management guidelines. Health professionals should always use the chart booklet for easy reference.The chart booklet is divided into two main parts because clinical signs in sick young infants and older children are somewhat different and because case management procedures also differ between these age groups.
Sick child aged 2 months to 5 years
This part contains all the necessary clinical algorithms, information and instructions on how to provide care to sick children aged 2 months to 5 years.
Sick young infant aged up to 2 months
This part includes case management clinical algorithms for the care of a young infant aged up to 2 months.
Each of these parts contains IMCI charts corresponding to the main steps of the IMCI case management process.
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Working document from an informal consultation of experts. A Protocol for risk assessment at the field level. The purpose of document is to provide guidance on the methodology to be used for assessing, at field level, the yellow fever virus circulation in areas at risk, and is primarily intended fo...r public health specialists
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This report reviews the current situation in relation to national capacity to address NCDs and the progress made at country level over the past decade. It highlights that, while progress is being made, there is still much work to be done to create the infrastructure, policies, surveillance and healt...h systems response that will allow NCDs and their contributing risk factors to be successfully contained and reversed.
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Case Manangement Training Modules
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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