Estimating the size of key affected populations (KAP) provides important data for planning and implementing an effective response to the HIV epidemic. In the Philippines, these KAP include males who have sex with males (MSM), female sex workers (FSW), and injecting drug users (IDU). Given the diffic...ulty in reaching these populations, as well as their high mobility, the process consequently entailed a specific methodology to directly estimate the size of KAP.
The national estimate of MSM was 531,500 or 2.2% (1.8%-3.2%) of males aged 15-49. Within this MSM estimate, figures for transgender women (TGW) and male transactional sex workers (MSW) were determined. The national estimate for TGW was 122,800 or about 0.50% (0.40%-0.75%) of males aged 15-49, and 23% of the MSM population. Meanwhile, MSW comprised 0.35% (0.29%-0.53%) of the male population aged 15-49 and 16% of the MSM population, giving a best estimate of 86,600.
The estimate of combined RFSW and FFSW was 66,100 or 0.28% (0.19%-0.40%) of females aged 15-49. Meanwhile, there are approximately 10,000 to 21,700 IDU or 0.04%-0.09% of males aged 15-49.
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The study analyses the current situation of children with disabilities in relation to realizing their rights and accessing basic services, as well as their life experiences in their communities. It also focuses on identifying the barriers created by society that prevent children with disabilities fr...om enjoying their human rights. This includes identifying negative attitudes; environmental and communication barriers; gaps in policies or their effective implementation.
The report reveals that children with disabilities in Myanmar are less likely to access services in health or education; rarely have their voices heard in society; and face daily discrimination as objects of pity. It also highlights how inadequate policies and legislation contribute to the challenges these children face.
The information available in this publication should be useful for policy makers, development partners and Disabled Persons Organisations to promote the realization of the rights of all children with disabilities.
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The primary aim of this assessment is to evaluate current approaches to malaria surveillance in Myanmar and to provide a set of practical and feasible recommendations to further strengthen the surveillance system in the short to medium term. The assessment focuses on the surveillance of malaria case...s (as distinct from more general surveillance to support monitoring and evaluation) and, more specifically, on instruments and systems to collect, collate, report and analyse malaria data as a basis for informing malaria control policy and practice.
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This landscape analysis aims to:
1. Identify and document supportive policies and best practices in family planning program implementation
2. Assess the quality of family planning service provision
3. Propose recommendations for scaling up best family planning practices and new interv...entions to improve program effectiveness and increase utilization of contraception
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The purpose of this study was to document a technical assessment of a sample of these existing shelters on their functionality, accessibility, operation and management, community perspectives in Myanmar; identify gaps, needs and further the linkages with community-based disaster risk reduction (CDBR...R) activities. The study also aims at a wider assessment: looking at broader recovery in terms of shelter and livelihood aspects with clear linkages and strategic direction for future cyclone shelter support activities.
No publication year indicated.
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This study aims to analyze national and international stakeholders and their initiatives in Early Warning Systems in Myanmar, to identify priority gaps that need to be addressed by all stakeholders. It is presented as a first step towards supporting GoUM in information-gathering under the Myanmar Ac...tion Plan for Disaster Risk Reduction (MAPDRR), in particular under Components (2) Risk Assessment, (3) Multi-hazard Early Warning System and (4) Preparedness at all levels, and especially in implementing Sub-Component (3.4) Enhanced Flood Monitoring and Forecasting Capacities at Township Levels.
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Policy Note #4: Myanmar Health Systems in Transition Policy Notes Series
Protecting people from financial hardship when they fall ill is one of the two key elements of universal health coverage (UHC). In practice, this means that the majority of health care costs have to be met from government ...revenues so that services are provided free or with a small affordable co-payment. The alternative is to rely on pre-payment through some form of insurance, where risks are pooled across all contributors.
The challenge in Myanmar is that at present neither approach is functioning. Government spending is too low to meet people’s health needs and the proportion of the population covered by insurance is negligible. As a result, families face a stark choice in the event of serious illness: either defer treatment and face the consequences, or incur what can amount to catastrophic expenses and a downward spiral of disinvestment and poverty.
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The major areas of focus for the plan will be:
- Social mobilization and community empowerment (health promotion & education for disease prevention);
- Promotion of access to safe water, good sanitation and hygiene;
- Surveillance and laboratory confirmation of outbreaks;
- Prom...pt case management and infection control;
- Complementary use of oral cholera vaccine (OCV) for cholera endemic communities; and
- Coordination and stewardship between and for all actors.
- Monitoring, supervision, evaluation and operation research to ensure continued improvement in service delivery.
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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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Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
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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This booklet provides policymakers, planners, and other interested parties with insight into the current state of the Rwandan health sector. These statistics provide a basis for policies, strategies, and planned interventions to ensure they are responsive to the needs of the health sector and, cruci...ally, are focused on addressing current priorities that aim to improve the health of the Rwandan population.
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The Road Map outlines various strategies which will guide policy makers, development partners, training institutions and service providers in supporting Government efforts towards the attainment of MDGs related to maternal and neonatal health.
In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd September 2014 and concluded on 17th October 2014, in ...all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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Made under Section 5 (c) of the Tanzania Food, Drugs and Cosmetics Act, 2003 | Second Edition