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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Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to collect data for monitoring progress on health programs and policies in Rwanda. This publication ill...ustrates the profile of Eastern Province.
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In 2015, the National Institute of Statistics of Rwanda published the Rwanda Poverty Profile Report 2013/2014,which provided a detailed portrait of the extent and nature of poverty in the country, based on information collected by an integrated household living conditions survey (EICV4) undertaken b...etween October 2013 and September 2014.
This report complements the study by looking at the trends in poverty between 2010/11 and 2013/14.It is essential to examine changes in poverty over time, because one of the most important goals of economic Sustainable Development Goals is to eliminate severe poverty by 2030.
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This third edition of the National Gender Statistics Report provides the updated sex-disaggregated data in twelve fields: Population and Youth; Education; Health and Nutrition; Economic Activity and time use; Poverty & Social Protection; Justice & Human rights; Environment and Natural Resources; Dec...isionmaking and Public life; Infrastructure, ICT and Media; Trade and Business and Industry; Agriculture, Livestock and Forestry, and lastly the Income and Access to Finance. It should be noted that this report takes into account almost all quantitative indicators of the United Nations Minimum Set of Gender Indicators (UNMSGI) as developed by the United Nations Statistical Division (UNSD) and some of the approved quantitative SDGs gender related indicators.
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The aim of the Annual Inspection Report is to present findings of public sector health establishments inspected by the OHSC to monitor compliance with the National Core Standards (NCS) during the 2016/2017 financial year in South Africa.
The NCS define fundamentals for quality of care based on six ...dimensions of quality: Acceptability,Safety, Reliability, Equity, Accessibility, and Efficiency.
The NCS structured assessment tools were used to collect data during inspections across the seven domains namely: Patient Rights; Patient Safety, Clinical Governance and Clinical Care; Clinical Support Services; Public Health; Leadership and Governance; Operational Management and Facilities and Infrastructure. A total of 851 routine inspections were conducted with 201 of these facilities re-inspected. Inspection data was captured on District Health Information System (DHIS) data entry forms and exported for analysis to Statistical Analysis Software (SAS) version 9.4.
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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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.
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This progress report reflects achievements made during the first year of implementation (through December 2016), as countries have taken actions in line with new or existing national strategies. The most recent data on country progress in 2016 are based on country-reported data and country-developed... models using Spectrum software that were reported to UNAIDS in 2017.
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The 2010-2011 National Annual Report on HIV program presents the progress in implementing the strategies and activities articulated in the National Strategic Plan on HIV and AIDS 2009-2012 commonly referred to as the HIV NSP. The report presents consolidated information regarding the outputs in the ...second year of implementing the four year strategy. This report will serve to inform the Mid Term Review of the HIV NSP 2009-2012.
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The 2011-2012 National Annual Report on HIV program presents the progress in implementing the strategies and activities articulated in the National Strategic Plan on HIV and AIDS 2009-2012, commonly referred to as the HIV NSP.
The Health Sector Policy gives general orientations for the sector which are further developed in the various sub-sector policies guiding key health programs and departments. All health sub-sector policies will be updated in line with this new policy. The Health Sector Policy is the basis of nationa...l health planning and the first point of reference for all actors working in the health sector. The overall aim of this policy is to ensure universal accessibility (in geographical and financial terms) of equitable and affordable quality health services (preventative, curative, rehabilitative and promotional services) for all Rwandans. It sets the health sector’s objectives, identifies the priority health interventions for meeting these objectives, outlines the role of each level in the health system, and provides guidelines for improved planning and evaluation of activities in the health sector. A companion Health Sector Strategic Plan (HSSP) elaborates the strategic directions defined in the Health Sector Policy in order to support and achieve the implementation of the policy, and more detailed annual operational plans describe the activities under each strategy.
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This policy will serve as a cornerstone from which to address the accessibility of Family Planning services and to encourage its integration with services for HIV/AIDS, maternal health, child health, and other development initiatives. This policy is timely, as Rwanda is embarking on the introduction... of community-based provision of Family Planning through community health workers. In addition, the expansion of adolescent sexual and reproductive health programs is a pillar of this policy that will help attract and retain the next generation of Family Planning users. These efforts are anticipated to trigger a paradigm change in the way Family Planning services are provided and accessed in order to contribute towards a healthy and productive Rwanda for all.
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The Rwandan Ministry of Health recognizes the threat that Non-Communicable Diseases (NCDs) pose to health and development in Rwanda and in 2009 articulates strategies to respond to them in the Health Sector Strategic Plan 2012 - 2018 (HSSP3). Among other things, the plan calls for a national prevale...nce survey on NCD risk factors. This report responds to that call and summarizes the findings of the first NCD risk factor survey in Rwanda conducted from November 2012 to March 2013.
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This report highlights key achievements registered by the Ministry of Health, affiliated institutions, implementing agencies both at central and decentralized levels in 2013-2014. Generally, the Health Sector accomplishments and programs routine data for 2013-2014 confirm that Rwanda maintains its p...rogress towards the realization of health-related MDGs and national health targets as well.
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These guidelines have been developed to provide guidance to the Ministry of Health in managing applications for registration of human pharmaceutical products in Rwanda. It was compiled by the Technical Working Group (TWG) on Medicines Evaluation and Registration (MER) of the East African Community M...edicine Regulatory Harmonization (EAC MRH) Project. The group relied on their experiences and knowledge on medicines registration requirements of their individual Countries. World Health Organization (WHO) and the International Conference on Harmonization of Technical Requirements of Medicines for Human Use (ICH) and other available literature.
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