Researcher: Sophiko Gogochashvili
Co researchers: Manana Sologashvili, Maka Gogia, Maka Revishvili
Nongovernmental organization "Hepa plus"
2017
Country Progress Report
Reporting Period
January – December, 2014
Accessed: 26.09.2019
National Statistical Committee of the Kyrgyz Republic Bishkek, Kyrgyz Republic
Ministry of Health Bishkek, Kyrgyz Republic
MEASURE DHS
ICF International Calverton, Maryland, U.S.A.
Mid-term review of The National AIDS Programme 2011-15
October 2013
Unofficial Translation
Approved by the Federal Government on October 20, 2016
Summary Report on the Comprehensive Study
This study is made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of their authors and do not necessarily reflect the views of USAID or th...e United States Government.
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MSF provides treatment for HIV and tuberculosis (TB) in more than 20 countries around the world. The report Burden sharing or burden shifting? How the HIV/TB response is being derailed examines the situation in nine countries where MSF runs programmes: Central African Republic, Democratic Republic ...of Congo, Eswatini, Guinea, Kenya, Malawi, Mozambique, Myanmar and Zimbabwe. With a focus on the financial resources available, this report highlights the current risks and gaps in HIV and TB service delivery in these countries.
Given the findings of gaps in diagnosis, prevention and care services and dwindling resources, MSF calls for a robust assessment of the needs and the resource capacity of each affected country, and calls on international donors to ensure that the financial burden is shared, rather than shifted onto those countries worst affected by the diseases.
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Toolkit
HIV Treatment and Care
The report discusses the epidemiological and social aspects of ageing, health and functional changes experienced with ageing, the impact of physical activity, assessment of the nutritional status of older persons, and nutritional guidelines for healthy ageing.
Many low-resource settings have a shortage of physicians and health workers. (1) In order to provide patient-centred continuous care more effectively, primary care systems can include team-based care strategies in their clinic workflows and protocols. Team-based care uses multidisciplinary teams (wh...ich may involve new staff, or the shifting of tasks among existing staff). Teams can include patients themselves, primary care physicians, and other allied health professionals, such as nurses, pharmacists, counsellors, social workers, nutritionists, community health workers, or others. Teams reduce the burden on physicians by utilizing the skills of trained health workers. Strong evidence shows that team-based care is effective in improving hypertension control among patients in a cost-effective way. (2) Some amount of task shifting/team-based care is already taking place in many settings; this module provides further guidance on how to maximize this approach for greater impact.
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Monitoring is a crucial element in any successful programme. It is important to
know if health care facilities – and ultimately countries – are meeting the agreed
goals and objectives for preventing and managing cardiovascular diseases (CVD).
Monitoring is the on-going collection, management ...and use of information to
assess whether an activity or programme is proceeding according to plan and/
or achieving defined targets. Not all outcomes of interest can be monitored. Clear
outcomes must be identified that relate to the most important changes expected to result from the project and to what is realistic and measurable within the timescale of the project. Once these outcomes have been articulated, indicators can be chosen that best measure whether the desired outcomes are being met.
To allow progress to be monitored, this module provides a set of indicators on
CVD management. Agreeing on a set of indicators allows countries to compare
progress in CVD management and treatment across different districts or
subnational jurisdictions, as well as at a facility level, identify where performance
can be improved, and track trends in implementation over time. Monitoring
these indicators also helps identify problems that may be encountered so that
implementation efforts can be redirected.
This module starts from the collection of data at facility level, which is then
“transferred up” the system: facility-level data are aggregated at subnational level
to produce reports that allow tracking of facility and subnational performance over time and allow for comparison among facilities. National-level data are obtained through population-based surveys.
Implementing a monitoring system requires action at many levels. At national and
subnational levels, staff can determine how best to integrate data elements into
existing data collection systems – such as the routine service-delivery data that are collected through facility-level Health Management Information Systems (HMIS).
In the facility setting, personnel must be aware of what data are needed. Sample
data-collection tools are included, recognizing that countries use different datamanagement systems for HMIS, so the CVD monitoring tools will be adapted to work with the HMIS system being used by the country, such that the indicators can be collected with minimal disruption/work to existing systems and tools
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Final Report
Submitted to: Unicef, New Delhi
ORG Centre for Social Research (A Division of AC Nielsen ORG- MARG Private Limited)
Accessed: 30.10.2019
The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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