Joint data assessment by the Central Statistical Organization and UNDP
The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the SDG indicators are currently produced and readily avai
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lable at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs.
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The purpose of the report is to present some first recommendation for the development of Myanmar ecological quality criteria using the system of the EU Water Framework Directive (EU WFD) as baseline, with main focus on the characterization and classification processes. As background for the recommen
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dations we first give an overview of the main water use categories in Myanmar. We then provide preliminary suggestions for typology criteria and indices for assessing ecological status in lakes and rivers in Myanmar. The typology factors and physico-chemical parameters are based on common used factors in the EU countries. The biological elements include phytoplankton and aquatic macrophytes for lakes, and benthic invertebrates for rivers.
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Full eHandbook under: http://www.msh.org/resources/health-systems-in-action-an-ehandbook-for-leaders-and-managers
Effective supply management has the potential to make a powerful contribution to the reliable availability of essential medicines, which are a crucial part of the delivery of highqualit
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y health care services. Because medicines are costly and poor management so often results in waste, good supply management is also crucial to the cost-effectiveness of providing medicines.
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Submitted to the US Agency for International Development by the Systems for Improved Access to Pharmaceuticals and Services (SIAPS) Program. Arlington, VA: Management Sciences for Health. Submitted to the United Nations Children’s Fund by JSI, Arlington, VA: JSI Research & Training Institute, Inc.
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This guide will assist program managers, service providers, and technical experts when conducting a quantification of commodity needs for the 13 reproductive, maternal, newborn, and child health commodities prioritized by the UN Commission on Life-Saving Commodities for Women and Children. This quantification supplement should be used with the main guide—Quantification of Health Commodities: A Guide to Forecasting and Supply Planning for Procurement. * This supplement describes the steps in forecasting consumption of these supplies when consumption and service data are not available; after which, to complete the quantification, the users should refer to the main quantification guide for the supply planning step.
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The USAID | DELIVER PROJECT, Task Order 4, developed this guide for quantifying health commodities; it will assist technical advisors, program managers, warehouse managers, procurement officers, and service providers in (1) estimating the total commodity needs and costs for successful implementation
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of national health program strategies and goals, (2) identifying the funding needs and gaps for procuring the required commodities, and (3) planning procurements and shipment delivery schedules to ensure a sustained and effective supply of health commodities.
The step-by-step approach to quantification presented in this guide is complemented by a set of product-specific companion pieces that include detailed instructions for forecasting consumption of antiretroviral drugs, HIV test kits, antimalarial drugs, and laboratory supplies.
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The Pocket Guide to Managing Contraceptive Supplies addresses one of
the most important components of any program that provides family
planning services—the logistics system that manages the delivery,
quality, and storage of contraceptive supplies. These supplies are
essential; without them, f
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amily planning services cannot be provided.
This guide is for the staff of family planning or health clinics who
manage contraceptive supplies and for the supervisor who oversees
these logistics activities. This booklet is not a complete logistics text;
its purpose is to be a quick reference for logistics formulas and
principles to help you manage your supplies (both contraceptives and
other commodities) correctly and efficiently.
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A nationwide survey of a representative sample of health facilities across public health services in all states and regions of Myanmar has been undertaken since 2014 to track Reproductive Health Commodity Security (RHCS) indicators, such as the availability of reproductive health (RH) commodities; t
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he supply chain (including cold chain systems); staff training and supervision; availability of guidelines and protocols; information and communication technologies; methods of waste disposal; and user fees. The surveys have also obtained the views of clients about the quality and cost of services through exit interviews. This is the third report for Myanmar, which is an assessment of the situation in 2016.
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The report is based on comprehensive information collected at representative sample health facilities all over the country by well-organized and trained teams during May and August 2015. This is a continuation of 2014 Assessment activities and findings also reflect comparison between two consecutive
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years.
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A cross-sectional descriptive study design covering all states and regions was undertaken to:
1) To assess availability, utilization and supply chain management system for RH commodities at different levels of health facilities,
2) To assess quality of RH services with emphasis on family
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planning in terms of training, supervision, use of guidelines and ICT, and
3) To determine clients’ accessibility to RH services provided at different level of facilities.
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Version 2, January 2016
The primary purpose of this document is to provide 3MDG stakeholders with some essential information on the MNCH core-indicators for 3MDG, which were derived from the 3MDG Logical Framework, Data Dictionary for Health Service Indicators (2014 June, DoPH, MoH), A
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Guide for Monitoring and Evaluating Child Health Programmes (MEASURE Evaluation, September 2005) and Monitoring Emergency Obstetric Care (WHO/UNICEF/UNFPA/AMDD). Partners are strongly encouraged to integrate the MNCH indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help Partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated.
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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
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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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National Tuberculosis Programme
The National Strategic Plan (NSP) for Tuberculosis (TB) 2016-2020 builds on the past experiences for the National Tuberculosis Programme and its partners. This NSP provides a roadmap for delivering quality TB prevention and care service to the entire population,
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as an integral part of the country's move toward Universal Health Coverage. Between 1990 and 2015, Myanmar reduced the prevalence of TB by 50%, meeting the targets set by the Millennium Development Goals. Going forward, the country aims to further accelerate the rate decline.
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Level of stunting among Bangladeshi children <5years declined from 51% in 2004 to 36% and underweight from 41% in 2007 to 33% (BDHS 2014). But the decrease in wasting rate is not as expected, which is only from 17% to 14.3 % over last decade. Approximately 3.1 % (BDHS 2014) of under-5 children suffering from SAM only b
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y weight-for-length or height z-score (WHZ) <-3 criterion and estimated to be a total of ~ 450,000. Because, there are no national information on prevalence of SAM using mid upper arm circumference (MUAC) and presence of bipedal oedema in under-5 children, thus the actual number of children suffering from SAM could be much higher than the current estimate.
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The objectives of this guidance document are to:
1. Strengthen the capacity of country teams to effectively scale up and manage programmes to address severe acute malnutrition
2. Extend the geographic reach of quality treatment for SAM to all vulnerable communities in need
3. Maximize
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access to appropriate and quality treatment for SAM among all eligible children in the community at all times
4. Aid the formulation and implementation of national policies and strategies that support objectives 1 to 3
5. Aid the creation of an enabling environment that supports objectives 1 to 3 through advocacy, documentation of successful practices, support for operational research, mobilization of resources and collaboration with partners
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Thailand is exposed to flooding, landslides, drought, earthquakes, tsunamis, heat waves, forest fires, and epidemics. Thailand is also exposed to technological hazards such as chemical accidents. Flooding is the natural hazard with the most significant impact on human life, livelihoods, and the econ
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omy for the country. The occurrence of droughts has increased in recent years due to the effects of the El Niño-Southern Oscillation (ENSO) cycle, which brings drier-than-average rainfall conditions. Drought has adversely impacted the country’s agriculture sector, which employs around one third of the country’s workforce.
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Over the period 2015 to 2019, scaling up a package of selected nutrition-specific and nutrition sensitive interventions to cover 90 per cent of Sudan would:
- Reduce the under-five mortality rate to 49/1,000 live births
- Reduce the prevalence of stunting to 25 per cent
- Reduce the
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prevalence of wasting (global acute malnutrition – GAM) to 6 per cent
- Increase exclusive breastfeeding to 63 per cent
- Reduce iron deficiency anaemia among pregnant women to 26 per cent.
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This module carries pre-training entry level assessment as well as hands on exercise manual on Geographic Information Systems, Remote Sensing, Geographic Positioning System (GPS) and some applications of these technologies on Disaster Risk Management (DRM) especially for hazard mapping, monitoring a
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nd risk assessment module as well as the damage assessment module. Practical manual developed using open source products like Quantum GIS , RStudio, Google Earth Pro and Google Earth Engine.
This module can also can be used by other training facilitators, non-technical professionals and selflearners as well. However, it is strongly recommended that training participants and self-learners already have some basic knowledge of Computer Basic, Geoinformatics and disaster management.
No publication year indicated.
Original file: 29,5 MB
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Version-1, June 2018
This document provides 3MDG stakeholders with essential information on SRHR indicators, derived from the 3MDG Logical Framework, Data Dictionary for Health Service Indicators (2014 June, DoPH, MoHA), A Guide to Monitoring and Evaluating Adolescent Reproductive Health Progra
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ms (MEASURE Evaluation, June 2000) and Monitoring National Cervical Cancer Prevention and Control Programmes (WHO, PAHO, 2013). Partners are strongly encouraged to integrate the SRHR indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated.
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