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Publication Years
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2235
346
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Category
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Toolboxes
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The objective of this brief is to consolidate WHO guidance to support the implementation of high-quality HIV services through approaches to policy, strategy and service delivery, to suggest considerations for selecting measures of high-quality services and to provide case examples of quality managem
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ent in HIV services in low- and middle- income countries.
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An Examination of 13 Projects in PEPFAR-Supported Countries
This guide has been written to provide information and practical advice on developing and delivering local plans an strategies to commission the most effective and efficient older people’s mental health services.Based upon clinical best practice guidance and drawing upon the range of available evi
...
dence, it describes what should be expected of an older people’s mental health service in terms of effectiveness, outcomes and value for money.
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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
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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
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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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Best Practices Guidelines
Accessed: 06.11.2019
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
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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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The toolkit presents step-by-step guidance that district health teams (DHTs), district leaders, MOH/UNEPI, immunisation partners, and civil society organisations (CSOs) can use to engage NHS and maximise the benefits of their participation in strengthening RI through activities such as community dia
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logue meetings. Tables and annexes outline this process
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Antimicrobial resistance (AMR) is a major global public health concern and a food safety issue. When pathogens become resistant to antimicrobial agents they can pose a greater human health risk as a result of potential treatment failure, loss of treatment options and increased likelihood and severi
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ty of disease.
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In this paper we aim to provide information on the importance of efficiency measurement of health care facilities in developing countries. We state that efficiency measurement can be a substantial contribution to saving lives. Therefore we analyse the performance of health centres in rural Burkina F
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aso making use of data which were taken from a comprehensive long-term cost information system. In the subsequent parts of this article, the study site is described and the DEA method outlined. The ensuing analysis of the data is carried out in two stages. Firstly, quantitative aspects concerning relative efficiency are presented. Secondly, the measures of performance are explained. The implications of the results are then discussed.
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Despite the considerable improvement in global health, millions of people still lack access to quality health services, including access to effective antimicrobial medicines, or are impoverished as a result of health spending. At the same time, antimicrobial resistance – a consequence of overuse a
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nd misuse of antimicrobials – is increasingly a barrier to accessing effective care. The declining effectiveness of antibiotics is driven by multiple factors, many of which can be addressed through well functioning primary health care. However, primary health care has not always had much attention in national health sector responses to
antimicrobial resistance, which often focus on tertiary care, laboratory detection and surveillance. The three pillars of primary health care (community engagement, front-line health services including primary care and essential public health, and multisectoral action on wider health determinants) are central not just to Universal Health Coverage and the Sustainable Development Goals, but also to an effective response to antimicrobial resistance.
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