The key aim of this guideline is to present recommendations based on a critical evaluation of the evidence on emerging digital health interventions that are contributing to health system improvements, based on an assessment of the benefits, harms, acceptability, feasibility, resource use and equity... considerations.
This guideline urges readers to recognize that digital health interventions are not a substitute for functioning health systems, and that there are significant limitations to what digital health is able to address
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Advising principles. The purpose of this document is to support competent authorities in charge of IHR implementation to improve national capacities for the prevention, detection and control of events, by strengthening communications and coordination between points of entry and the national health s...urveillance system
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Participant Manual September 2009
Nature Reviews Microbiology Vol. 17 (2019)pp.51-62
Antimicrobial susceptibility testing (AST) technologies help to accelerate the
initiation of targeted antimicrobial therapy for patients with infections and could potentially
extend the lifespan of current narrow- spectrum antimicrobials. Althoug...h conceptually new and
rapid AST technologies have been described, including new phenotyping methods, digital
imaging and genomic approaches, there is no single major, or broadly accepted, technological
breakthrough that leads the field of rapid AST platform development
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This study addresses part of the Terms of Reference for a scoping report ‘An analysis of approaches to laboratory capacity strengthening for drug resistant infections in low and middle income countries’. It has been produced as a separate report because it is also very relevant for a second stud...y ‘Supporting Surveillance Capacity for Antimicrobial Resistance: Regional Networks and Educational Resources’. This study compares antimicrobial surveillance systems in three low and middle income countries in order to describe the components of these systems and to understand which surveillance models are best suited to particular contexts. Ghana, Nigeria and Nepal were selected as study countries because they cover different continents and include one ‘fragile’ context (Nigeria). Brief information from Malawi is also included.
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Primary health care offers a cost–effective route to achieving universal health coverage (UHC). However, primary health-care systems are weak in many low- and middle-income countries and often fail to provide comprehensive, people-centred, integrated care. We analysed the primar...y health-care systems in 20 low- and middle-income countries using a semi-grounded approach. Options for strengthening primary health-care systems were identified by thematic content analysis. We found that: (i)despite the growing burden of noncommunicable disease, many low- and middle-income countries lacked funds for preventive services; (ii)community health workers were often under-resourced, poorly supported and lacked training; (iii)out-of-pocket expenditure exceeded 40% of total health expenditure in half the countries studied, which affected equity; and (iv)health insurance schemes were hampered by the fragmentation of public and private systems, underfunding, corruption and poor engagement of informal workers. In 14 countries, the private sector was largely unregulated. Moreover, community engagement in primary health care was weak in countries where services were largely privatized. In some countries, decentralization led to the fragmentation of primary health care. Performance improved when financial incentives were linked to regulation and quality improvement, and community involvement was strong. Policy-making should be supported by adequate resources for primary health-care implementation and government spending on primary health care should be increased by at least 1% of gross domestic product. Devising equity-enhancing financing schemes and improving the accountability of primary health-care management is also needed. Support from primary health-care systems is critical for progress towards UHC in the decade to 2030.
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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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Community health workers (CHWs) enable marginalised communities, often experiencing structural poverty, to access healthcare. Trust, important in all patient–provider relationships, is difficult to build in such
communities, particularly when stigma associated with HIV/AIDS, tuberculosis and now ...COVID-19, is widespread.
CHWs, responsible for bringing people back into care, must repair trust. In South Africa, where a national CHW programme is being rolled out, marginalised communities have high levels of unemployment, domestic violence and injury. In this complex social environment, we explored CHW workplace trust, interpersonal trust between the patient and CHW, and the institutional trust patients place in the health system
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Regional Eastern European and Central Asian project (TB-REP) Copenhagen, Denmark, 26–28 April 2016
The World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS) was used to collect information on the mental health system in Ghana for the year 2011. The goal of collecting this information is to improve the mental health system and to provide a baseline for monitoring the... change. This will enable Ghana to develop information based mental health plans with clear base-line information and targets. It will also be useful to monitor progress in implementing reform policies, providing community services, and involving users, families and other stakeholders in mental health promotion, prevention and rehabilitation.
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