Financing Global Health 2013: Transition in an Age of Austerity, IHME’s fifth annual report on global health expenditure, depicts financing trends that underline the resilience of development assistance for health. This year’s updated estimates show that despite lackluster economic growth and fi...scal cutbacks in many developed countries, total assistance remained steady, reaching an all-time high of $31.3 billion in 2013. While annual increases have leveled off since 2010, continued international funding is a sign of the international development community’s enduring support for global health.
The report also shows shifts in sources of financing. As funding from many bilateral donors and development banks has declined, growth in funding from the GAVI Alliance, the Global Fund to Fight AIDS, Tuberculosis and Malaria, non-governmental organizations, and the UK government is counteracting these cuts. Development assistance for different health issues is tracked up to 2011, revealing that the greatest increase in funding was for maternal, newborn, and child health.
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COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic health sector costs of COVID-19 clinical management in 79 LMICs under di...fferent epidemiological scenarios.
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The global burden of disease due to mental disorders continues to rise, especially in low- and middle-income countries (LMIC). In addition to causing a large proportion of morbidity, mental disorders – especially severe mental disorders (SMD) – are linked with poorer health outcomes and increase...d mortality. SMD are defined as a group of conditions that include moderate to severe depression, bipolar disorder, and schizophrenia and other psychotic disorders. People with SMD have a two to three times higher average mortality compared to the general population, which translates to a 10-20 year reduction in life expectancy. While people with SMD do have higher rates of death due to unnatural causes (accidents, homicide, or suicide) than the general population, the
majority of deaths amongst people with SMD are attributable to physical health conditions, both
non-communicable and communicable.
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Health Systems for Outcomes Publication | This report summarizes the findings of a qualitative study on health workers’ performance and career in Rwanda to identify bottlenecks, strengths and shortcomings for human resources in the health sector, as perceived by both health workers and users of he...alth services.
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This document provides a list of key WHO-recommended maternal and newborn health commodities and aims to accelerate progress towards the SDGs. It consolidates the key and enabling commodities from existing WHO guidelines on maternal and newborn health.
The Millennium Development Goals (MDGs) showed
that global commitment and collective action
could significantly reduce the disease burdens of
three deadly communicable diseases: HIV/AIDS,
tuberculosis (TB) and malaria. The MDGs helped
focus efforts on these three deadly diseases
and leveraged ...disease-specific programmes and
financing, thus achieving significant progress.
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This manual was developed based on the recommendations of a global technical consultation on child health in humanitarian emergencies co-organized by WHO and UNICEF at the end of 2003. WHO in collaboration with the Centre for Refugee and Disaster Response, Bloomberg School of Public Health, Johns Ho...pkins University undertook a systematic review in 2004. It demonstrated that existing guidelines, including The Integrated Management of Childhood Illness (IMCI), do not cover all priority conditions in emergencies. The objective of this manual is to provide comprehensive guidance on child care in emergencies.
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Human Resources for Health201816:49; https://doi.org/10.1186/s12960-018-0315-7
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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Zambia is facing a severe economic crisis marked by high inflation, increasing poverty and a heavy debt burden that is straining both its fiscal stability and progress in health outcomes. By 2020, the country's external debt reached United States dollars (USD) 12.7 billion, representing 108% of the ...country's gross domestic product (GDP). In 2020, Zambia sought assistance through the G20 Common Framework and the International Monetary Fund (IMF) Extended Credit Facility (ECF), securing a USD 1.7 billion loan over 5 years. IMF loans, however, come with austerity measures that prioritise fiscal discipline but could potentially exacerbate social inequalities. These measures, which include increasing consumer taxes on goods and services (value added taxes - VATs), electricity tariffs and fuel prices, disproportionately impact vulnerable populations, raising concerns about their long-term effects on essential services, especially accessible and good quality healthcare services.
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Donor financing to low- and middle-income countries for reproductive, maternal, newborn, and child health increased substantially from 2008 to 2013. However, increased spending by donors might not improve outcomes, if funds are delivered in ways that undermine countries’ public financial managemen...t systems and incur high transaction costs for project implementation
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Regional situation analysis, practices, experiences, lessons learned and ways forward.
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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Africa is off track to reach the Sustainable Development Goals by 2030 and lags behind in building resilient health systems
and health security, against a backdrop of limited resources. The world envisaged a significant role for governments
in funding the Sustainable Development Agenda, but inadeq...uate funding for health in African countries is
persistent, despite additional continental commitments to address the problem. When commitments to global health
targets and available fiscal space do not align, innovation is warranted.
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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....
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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Lancet 2022; 399: 1155–200 Published Online March 15, 2022 https://doi.org/10.1016/
S0140-6736(21)02488-0
This document presents an evidence-informed Checklist for implementing rural pathways to train and support the rural
health workforce in low and middle income countries (LMIC). Rural areas are the most underserviced around the world.