Bulletin of the World Health Organization Volume 93, Number 9, September 2015, 589-664
This study examined the quality of facility-based maternal and newborn health care by describing the implementation of recommended practices for maternal and newborn care among health care facilities to determine whether increased training, supervision, and incentives for health workers were associa...ted with implementing these recommended practices.
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BMJ Open2018;8:e020423. doi:10.1136/bmjopen-2017-02042
EC has been increasingly used in the evaluation of maternal and child health programmes.12–15 For instance, Nesbitt et al compared crude coverage and EC of pregnant women with facility-based obstetric services in Ghana and estimated that alth...ough 68% of the women studied had service access only 18% received high-quality care provided by a skilled birth attendant.16 Similarly, by comparing EC of young children receiving Strengths and limitation of this study. Using multiple data sources (direct observation, vignettes, facility inventories) this study comprehensively assessed under 5-year-old child service
performance of first-line health facilities. We conducted this study in around 500 primary-level health facilities and within 7000 households
across six regions in Burkina Faso.
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This is the sixth of our 11-paper supplement entitled “Community Health Workers at the Dawn of New Era”. Expectations of community health workers (CHWs) have expanded in recent years to encompass a wider array
of services to numerous subpopulations, engage communities to collaborate with and to... assist health systems in responding to complex and sometimes intensive threats. In this paper, we explore a set of key considerations for training of CHWs in response to their enhanced and changing roles and provide actionable recommendations based on
current evidence and case examples for health systems leaders and other stakeholders to utilize.
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The COVID-19 pandemic has affected job satisfaction among healthcare workers; yet this has not been empirically examined in sub-Saharan Africa (SSA). We addressed this gap by examining job satisfaction and associated factors among healthcare workers in Ghana and Kenya during the COVID-19 pandemic. W...e conducted a cross-sectional study with healthcare workers (N = 1012). The two phased data collection included: (1) survey data collected in Ghana from April 17 to May 31, 2020, and (2) survey data collected in Ghana and Kenya from November 9, 2020, to March 8, 2021. We utilized a quantitative measure of job satisfaction, as well as validated psychosocial measures of perceived preparedness, stress, and burnout; and conducted descriptive, bivariable, and multivariable analysis using ordered logistic regression. We found high levels of job dissatisfaction (38.1%), low perceived preparedness (62.2%), stress (70.5%), and burnout (69.4%) among providers. High perceived preparedness was positively associated with higher job satisfaction (adjusted proportional odds ratio (APOR) = 2.83, CI [1.66,4.84]); while high stress and burnout were associated with lower job satisfaction (APOR = 0.18, CI [0.09,0.37] and APOR = 0.38, CI [0.252,0.583] for high stress and burnout respectively). Other factors positively associated with job satisfaction included prior job satisfaction, perceived appreciation from management, and perceived communication from management. Fear of infection was negatively associated with job satisfaction. The COVID-19 pandemic has negatively impacted job satisfaction among healthcare workers. Inadequate preparedness, stress, and burnout are significant contributing factors. Given the already strained healthcare system and low morale among healthcare workers in SSA, efforts are needed to increase preparedness, better manage stress and burnout, and improve job satisfaction, especially during the pandemic.
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Afr J Thoracic Crit Care Med 2021;27(4):Published online 22 October 2021. https://doi.org/10.7196/AJTCCM.2021.v27i4.173
Background: Comparable estimates of health spending are crucial for the assessment of health systems and to optimally deploy health resources. The methods used to track health spending continue to evolve, but little is known about the distribution of spending across diseases. We developed improved e...stimates of health spending by source, including development assistance for health, and, for the first time, estimated HIV/AIDS spending on prevention and treatment and by source of funding, for 188 countries.
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This important research emphasises that many governments are not meeting spending goals, and in many countries the financing gaps are so great that, even if they met the spending goals, expenditure would still fall short of what is needed (expenditure would cover only 64% of estimated future funding... requirements, leaving a gap of around a third of the total US$7·9 billion needed). Quantification of the gaps in domestic spending encourages us to consider whether the amount of funding is appropriate and how much more could and should be done to fight HIV/AIDS. The important question of how governments make allocation choices also comes to the forefront. The aim of this Comment is to draw attention to the many dimensions that contribute to the complexity of these decisions on health resource allocation.
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Global HIV control funding falls short of need. To maximize health outcomes, it is critical that national governments sustain reasonable commitments, and that international donor assistance be distributed according to country needs and funding gaps. We develop a country classification framework in t...erms of actual versus expected national domestic funding, considering resource needs and donor financing. With UNAIDS and World Bank data, we examine domestic and donor HIV program funding in relation to need in 84 low- and middle-income countries. We estimate expected domestic contributions per person living with HIV (PLWH) as a function of per capita income, relative size of the health sector, and per capita foreign debt service.
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There has been no systematic comparison of how the policy response to past infectious disease outbreaks and epidemics was funded. This study aims to collate and analyse funding for the Ebola epidemic and Zika outbreak between 2014 and 2019 in order to understand the shortcomings in funding reporting... and suggest improvements. Methods: Data were collected via a literature review and analysis of financial reporting databases, including both amounts donated and received. Funding information from three financial databases was analysed: Institute of Health Metrics and Evaluation’s Development Assistance for Health database, the Georgetown Infectious Disease Atlas and the United Nations Financial Tracking Service. A systematic literature search strategy was devised and applied to seven databases: MEDLINE, EMBASE, HMIC, Global Health, Scopus, Web of Science and EconLit. Funding information was extracted from articles meeting the eligibility criteria and measures were taken to avoid double counting. Funding was collated, then amounts and purposes were compared within, and between, data sources.
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Background: Disbursements of development assistance for health (DAH) have risen substantially during the past several decades. More recently, the international community's attention has turned to other international challenges, introducing uncertainty about the future of disbursements for DAH.
Meth...ods: We collected audited budget statements, annual reports, and project-level records from the main international agencies that disbursed DAH from 1990 to the end of 2015. We standardised and combined records to provide a comprehensive set of annual disbursements. We tracked each dollar of DAH back to the source and forward to the recipient. We removed transfers between agencies to avoid double-counting and adjusted for inflation. We classified assistance into nine primary health focus areas: HIV/AIDS, tuberculosis, malaria, maternal health, newborn and child health, other infectious diseases, non-communicable diseases, Ebola, and sector-wide approaches and health system strengthening. For our statistical analysis, we grouped these health focus areas into two categories: MDG-related focus areas (HIV/AIDS, tuberculosis, malaria, child and newborn health, and maternal health) and non-MDG-related focus areas (other infectious diseases, non-communicable diseases, sector-wide approaches, and other). We used linear regression to test for structural shifts in disbursement patterns at the onset of the Millennium Development Goals (MDGs; ie, from 2000) and the global financial crisis (impact estimated to occur in 2010). We built on past trends and associations with an ensemble model to estimate DAH through the end of 2040.
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Background: A recent report by the Institute for Health Metrics and Evaluation (IHME) highlights that mental health receives little attention despite being a major cause of disease burden. This paper extends previous assessments of development assistance for mental health (DAMH) in two significant w...ays; first by contrasting DAMH against that for other disease categories, and second by benchmarking allocated development assistance against the core disease burden metric (disability-adjusted life year) as estimated by the Global Burden of Disease Studies. Methods: In order to track DAH, IHME collates information from audited financial records, project level data, and budget information from the primary global health channels. The diverse set of data were standardised and put into a single inflation adjusted currency (2015 US dollars) and each dollar disbursed was assigned up to one health focus areas from 1990 through 2015. We tied these health financing estimates to disease burden estimates (DALYs) produced by the Global Burden of Disease 2015 Study to calculated a standardised measure across health focus areas—development assistance for health (in US Dollars) per DALY.
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Government health expenditure is a primary means of financing health services in many countries. Research assessing the relation between government health expenditure and development assistance for health channelled to governments (DAH-G) has produced contradictory conclusions. This research aims to... credibly estimate displacement and measure if the DAH-G effect is symmetric or if increases and decreases in DAH-G have distinct effects.
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Development assistance for health (DAH) is an important part of financing healthcare in low- and middle-income countries. We estimated the gross disbursement of DAH of the 29 Development Assistance Committee (DAC) member countries of the Organisation for Economic Co-operation and Development (OECD) ...for 2011–2019; and clarified its flows, including aid type,
channel, target region, and target health focus area. Data from the OECD iLibrary were used. The DAH definition was based on the OECD sector classification. For core funding to non-healthspecific multilateral agencies, we estimated DAH and its flows based on the OECD methodology for
calculating imputed multilateral official development assistance (ODA).
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Tracking development assistance for health for low- and middle-income countries gives policy makers information about spending patterns and potential improvements in resource allocation. We tracked the flows of development assistance and explored the relationship between national income, disease bur...den, and assistance
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Objectives: To identify the amount of development assistance that countries and organizations provided for health and to determine the health areas that received these funds.
Approximately 80% of the 463 million adults worldwide with diabetes live in low-income and middle-income countries (LMICs). A major obstacle to designing evidence-based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally representative data on the current patterns... of treatment coverage. The objectives of this study were to estimate the proportion of adults with diabetes in LMICs who receive coverage of recommended pharmacological and non-pharmacological diabetes treatment; and to describe country-level and individual-level characteristics that are associated with treatment.
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