International Development vol. 11. DOI 10.4073/csr.2015.15
The Malaria Operational Plans below are detailed 1-year implementation plans for PMI focus countries. Each plan reviews the current status of malaria control and prevention policies and interventions, identifies challenges and unmet needs to achieve PMI goals, and provides a description of planned P...MI-funded activities.
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This report is intended to provide information regarding reporting status of the public and private hospitals, availability and utilization of hospital services, performance of the hospitals under administration of Ministry of Health, hospital deliveries and leading causes of hospitalization and mor...tality. The varieties of presentation were used to illustrate different utilization patterns according to geographical distribution and hospital types. Changes of hospital statistics over time were elicited with graphical and tabular presentation.
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In many of Myanmar’s contested regions, healthcare services are provided through two parallel governance systems – by the government’s Ministry of Health, and by providers linked to ethnic armed organizations. Building upon efforts to build trust between these two actors following ceasefires s...igned in 2011 and 2012, the new National League for Democracy-led government offers an unprecedented opportunity to increase cooperation between these systems and to ensure health services reach Myanmar’s most vulnerable populations.
The report provides an overview of existing health service arrangements in these areas, from both the Ministry of Health and from ethnic and community-based health organizations. It then unpacks the concept of “convergence”, highlighting key opportunities and policy recommendations for both government and non-government actors.
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Survey report
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) and Balukhali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health... status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days.
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(Health Systems in Transition, Vol. 4, No. 3, 2014)
USAID/KENYA Evaluation Services and Program Support (ESPS)
The United States Agency for International Development (USAID) has a solid track record of supporting health and development initiatives in Kenya. AIDS, Population, and Health Integrated Assistance (APHIA) is the agency’s flagship hea...lth initiative in the country. APHIA is currently in its third iteration, APHIAPlus, which began in January 2011 and is slated to end in December 2015. APHIAPlus was designed to contribute to Result 3 (“Increased use of quality health services, products, and information”) and Result 4 (“Social determinants of health”) of USAID/Kenya’s implementation framework. The main technical areas of focus are HIV/AIDS; malaria; family planning (FP); tuberculosis (TB); maternal, newborn, and child health (MNCH); and water, sanitation, and hygiene (WASH).
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Non-Wood Forest Products 11
Traditional medicine and its use of medicinal plants is dependent on reliable supply of plant materials. The book focuses on the interface between medicinal plant use and conservation of medicinal plants.
Journal of the International AIDS Society 2017, vol. 20:e25026
In Myanmar, men who have sex with men (MSM) experience high risk of HIV infection. However, access to HIV testing and prevention services remains a challenge among this marginalized population. The objective of this study was to est...imate population prevalence and correlates of prior HIV testing among young MSM (YMSM) and informs the development of HIV testing and intervention programmes that respond to the specific needs of this population.
https://doi.org/10.1002/jia2.25026
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A two-week mission was conducted by WASH and quality UHC technical experts from WHO headquarters and supported by the WHO Ethiopia Country Office (WASH and health systems teams) in July 2016, to understand how change in WASH services and quality improvements have been implemented in Ethiopia at nati...onal, sub-national and facility levels; to document existing activities; and through the “joint lens” of quality UHC and WASH, to identify and seek to address key bottlenecks in specific areas including leadership, policy/financing, monitoring and evaluation, evidence application and facility improvements. Ethiopia has implemented a number of innovative and successful interventions.
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The unmet need for palliative care in Cox’s Bazar
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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Background document to the 2018 joint statement by WHO, UNFPA, UNICEF, ICM, ICN, FIGO and IPA: definition of skilled health personnel providing care during childbirth
This document provides a snapshot view of Rwanda in terms of key socio-economic indicators, political and economic context and the situation of children. It also gives an overview of UNICEF's Country Programme and key achievements.
Rwanda has made significant progress towards economic prosperity an...d human development over the past two decades. Rwanda has one of the fastest growing economies in central Africa, and was one of the few countries to achieve all the Millennium Development Goals (MDGs). Political stability, strong governance, fiscal and administrative decentralization, and zero tolerance for corruption are among the key factors supporting the country’s inclusive growth and development.
Rwanda still faces some significant development challenges. Chronic malnutrition (stunting), early childhood development, neonatal mortality, the quality of education, and prevention of violence against children require continued attention.
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Final Draft narrative December 6, 2012 - This strategic plan, developed through the joint collaboration of all stakeholders in the different sectors is aimed at harnessing and bringing together all the stakeholders who have a role in the prevention, detection and management of epidemic and infectiou...s diseases in the country. The plan describes the common epidemic and infectious diseases, the measures that need to be undertaken to ensure their control, the key partners and their roles and sets out milestones to monitor progress.
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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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The HIV drug resistance report 2021 summarizes findings from 38 countries that had finalized the surveys by the time of this report and shared data with WHO.
Pretreatment HIVDR to non-nucleoside reverse-transcriptase inhibitors (NNRTI) can affect more than 10% of adults starting therapy and is fo...und up to 3 times more often in people who had previous exposure to antiretroviral drugs. In addition, nearly half of infants newly diagnosed with HIV has HIVDR to NNRTI before initiating treatment.The high levels of observed NNRTI pretreatment HIVDR among emphasize the need to fast-track the transition to WHO-recommended dolutegravir-based ART.
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Biennial Report of the Regional Director
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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