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Book
Poverty, Malnutrition and Vulnerability in Mali
Authors: --- ---
Year: 2013 Publisher: Washington, D.C., The World Bank,

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Abstract

This paper provides new insight into the poverty, malnutrition and vulnerability issues in Mali, using existing household survey data. First, it presents a profile of households that are poor, "food poor," or have malnourished children. Second, it explores the impact of recent weather and price shocks on household welfare and identifies those affected most by the shocks. Finally, it estimates vulnerability to poverty by modeling both households' expected consumption and their consumption volatility, and by distinguishing between idiosyncratic and covariate risks. The basic results of the analysis match conventional knowledge about poverty, food poverty, and malnutrition. The prevalence of chronic malnutrition is high in Mali, with 44 percent of Malian households and 66 percent of food poor Malian households having at least one stunted child. A 25 percent increase in cereal prices and a 25 percent decrease in cereal production are estimated to increase the number of food poor by 610,000 people. An estimated USD 5.4 million of extra aid per year will be needed to lift the newly food poor above the food poverty line. About USD 182 million is needed to do this for all existing and new food poor. Vulnerability incidence is in general two to three times higher among the poor than the non-poor, except in urban areas and in the region of Sikasso where the vulnerability incidence is five to six times higher among the poor. Overall, vulnerability is mostly driven by poverty induced vulnerability, except in the capital, Bamako, where vulnerability is more driven by risk induced vulnerability.


Book
CATA Meets IMPOV : A Unified Approach to Measuring Financial Protection in Health
Authors: ---
Year: 2014 Publisher: Washington, D.C., The World Bank,

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Up to now catastrophic and impoverishing payments have been seen as two alternative approaches to measuring financial protection in health. Building on the previous literature, the authors propose a unified methodology in which impoverishing and catastrophic payments are mutually exclusive outcomes. They achieve this by expressing out-of-pocket payments as a ratio of 'discretionary' consumption, defined as the amount by which total consumption (gross of out-of-pocket payments) exceeds the poverty line. This allows the authors to identify both households who are impoverished by out-of-pocket payments (their ratio exceeds one) and households who are pushed even further into poverty by out-of-pocket payments (their ratio is negative); the authors call such payments 'immiserizing'. Households experiencing 'catastrophic' payments are a subset of those who incur out-of-pocket payments but who are neither impoverished nor immiserized by them. Two alternative definitions of catastrophic payments are offered: those that absorb more than a pre-specified fraction of discretionary consumption; and those that leave a household's nonmedical consumption (total consumption net of out-of-pocket spending) below a pre-specified multiple of the poverty line. The authors also offer a simple financial protection index that reflects the percentages of households incurring immiserizing, impoverishing, catastrophic, non-catastrophic, and zero out-of-pocket payments. They illustrate their unified approach with data from the World Health Survey, using international poverty lines and a catastrophic payment threshold of 40 percent.


Book
The 2018 Health Equity and Financial Protection Indicators Database : Overview and Insights
Authors: --- --- ---
Year: 2018 Publisher: Washington, D.C. : The World Bank,

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The 2018 database on Health Equity and Financial Protection indicators provides data on equity in the delivery of health service interventions and health outcomes, and on financial protection in health. This paper provides a brief history of the database, gives an overview of the contents of the 2018 version of the database, and then gets into the details of the construction of its two sides-the health equity side and the financial protection side. The paper also provides illustrative uses of the database, including the extent of and trends in inequity in maternal and child health intervention coverage, the extent of inequities in women's cancer screening and inpatient care utilization, and trends and inequalities in the incidence of catastrophic health expenditures.


Book
Out-of-Pocket Expenditures on Health : A Global Stocktake
Authors: --- ---
Year: 2019 Publisher: Washington, D.C. : The World Bank,

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This paper provides an overview of research on out-of-pocket health expenditures, reviewing the various summary measures and the results of multi-country studies using these measures. The paper presents estimates for 146 countries from all World Bank income groups for all summary measures, along with correlations between the summary measures and macroeconomic and health system indicators. Large differences emerge across countries in per capita out-of-pocket expenditures in 2011 international dollars, driven in large part by differences in per capita income and the share of gross domestic product spent on health. The two measures of dispersion or risk-the coefficient of variation and Q90/Q50-are only weakly correlated across countries and not explained by the macroeconomic and health system indicators. Considerable variation emerges in the out-of-pocket health expenditure budget share, which is highly correlated with the incidence of "catastrophic" expenditures. Out-of-pocket expenditures tend to be regressive and catastrophic expenditures tend to be concentrated among the poor when expenditures are assessed relative to income, while expenditures tend to be progressive and catastrophic expenditures tend to be concentrated among the rich when expenditures are assessed relative to consumption. At the extreme poverty line of USD 1.90-a-day, most impoverishment due to out-of-pocket expenditures occurs among low-income countries.


Book
Malnutrition Gap as a New Measure of Child Malnutrition : A Global Application
Authors: --- ---
Year: 2018 Publisher: Washington, DC : World Bank,

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&Quot;Leaving no one behind" is an overarching principle of the Sustainable Development Goals. Many countries are prioritizing resources for those who are furthest behind. Existing malnutrition indicators--underweight, stunting, wasting, overweight, and severe wasting--are headcount ratios. They do not capture how far behind malnourished children are relative to the World Health Organization growth standards. To understand the severity of malnutrition, this study develops a new malnutrition measurement, using the method originally developed for estimating poverty. This study estimates the prevalence, gap, and gap squared for stunting, wasting, overweight, and underweight, using data from 94 developing countries over 20 years. The results show that although in most cases the headcount measures and gap measures are moving in the same direction, in many other cases, they are moving in opposite directions. Moreover, employing the new measures, the study can identify countries that have low levels of headcount for a malnutrition measure but comparatively high severity of malnutrition according to the gap measures, and vice versa. This suggests that these new malnutrition measures provide additional information on the severity of malnutrition that is not possible to be known from headcount measures. These new measures of the severity of malnutrition can therefore improve the monitoring of child malnutrition across countries, and consequently help countries to achieve their Sustainable Development Goals.


Book
Measuring Progress towards Universal Health Coverage : With an Application to 24 Developing Countries.
Authors: --- --- ---
Year: 2015 Publisher: Washington, D.C. : The World Bank,

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The last few years have seen a growing commitment worldwide to universal health coverage (UHC). Yet there is a lack of clarity on how to measure progress towards UHC. This paper proposes a 'mashup' index that captures both aspects of UHC: that everyone-irrespective of their ability-to-pay-gets the health services they need; and that nobody suffers undue financial hardship as a result of receiving care. Service coverage is broken down into prevention and treatment, and financial protection into impoverishment and catastrophic spending; nationally representative household survey data are used to adjust population averages to capture inequalities between the poor and better off; nonlinear tradeoffs are allowed between and within the two dimensions of the UHC index; and all indicators are expressed such that scores run from 0 to 100, and higher scores are better. In a sample of 24 countries for which there are detailed information on UHC-inspired reforms, a cluster of high-performing countries emerges with UHC scores of between 79 and 84 (Brazil, Colombia, Costa Rica, Mexico and South Africa) and a cluster of low-performing countries emerges with UHC scores in the range 35-57 (Ethiopia, Guatemala, India, Indonesia and Vietnam). Countries have mostly improved their UHC scores between the earliest and latest years for which there are data-by about 5 points on average; however, the improvement has come from increases in receipt of key health interventions, not from reductions in the incidence of out-of-pocket payments on welfare.


Book
Measuring Progress towards Universal Health Coverage : With an Application to 24 Developing Countries.
Authors: --- --- ---
Year: 2015 Publisher: Washington, D.C. : The World Bank,

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Abstract

The last few years have seen a growing commitment worldwide to universal health coverage (UHC). Yet there is a lack of clarity on how to measure progress towards UHC. This paper proposes a 'mashup' index that captures both aspects of UHC: that everyone-irrespective of their ability-to-pay-gets the health services they need; and that nobody suffers undue financial hardship as a result of receiving care. Service coverage is broken down into prevention and treatment, and financial protection into impoverishment and catastrophic spending; nationally representative household survey data are used to adjust population averages to capture inequalities between the poor and better off; nonlinear tradeoffs are allowed between and within the two dimensions of the UHC index; and all indicators are expressed such that scores run from 0 to 100, and higher scores are better. In a sample of 24 countries for which there are detailed information on UHC-inspired reforms, a cluster of high-performing countries emerges with UHC scores of between 79 and 84 (Brazil, Colombia, Costa Rica, Mexico and South Africa) and a cluster of low-performing countries emerges with UHC scores in the range 35-57 (Ethiopia, Guatemala, India, Indonesia and Vietnam). Countries have mostly improved their UHC scores between the earliest and latest years for which there are data-by about 5 points on average; however, the improvement has come from increases in receipt of key health interventions, not from reductions in the incidence of out-of-pocket payments on welfare.


Book
The 2019 Update of the Health Equity and Financial Protection Indicators Database : An Overview
Authors: --- --- ---
Year: 2019 Publisher: Washington, D.C. : The World Bank,

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This paper outlines changes that have been made in the 2019 version of the Health Equity and Financial Protection Indicators database. On the financial protection side, the changes include an increase in the number of indicators from five to 14; revisions to several previous data points, reflecting the analysis of new surveys (or adaptations thereof); and refinements to the estimation of out-of-pocket expenditures. On the health equity side, the 2019 database includes 198 more data points than the 9,733 in the 2018 database, reflecting the addition of 535 new datapoints, and the dropping of 337 previously included data points now considered to be substandard.


Book
From Double Shock to Double Recovery : Implications and Options for Health Financing in the Time of COVID-19

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The COVID-19 pandemic has resulted in a double shock - health and economic. As of March 1, 2021, COVID-19 has cost more than 2.5 million lives and triggered an economic recession surpassing any economic downturn since World War II. Part I of this paper explores the impact of this current macro-fiscal outlook on the three primary sources of health spending. Drawing on experiences from previous economic crises, scenario analyses suggest a fall in government per capita spending on health in 2021 and 2022 unless governments make bold choices to increase the share of health in general government spending. The projected drop in per capita government spending on health is expected to coincide with lower levels of household out-of-pocket spending on health and a possible decline in development assistance for health (DAH). Part II of the paper discusses policy options to meet the spending needs in health. These options encompass strategies to make fiscal adjustments work and channel funds where they are most needed, as well as policies to stabilize the balance sheets of social health insurance (SHI) schemes. The paper explains how the health sector can play an active role in expanding fiscal space, contributing to tax reforms, most importantly pro-health taxes, and mobilizing and absorbing external financing, including debt relief.


Book
Economic Impact of COVID-19 : Implications for Health Financing in Asia and Pacific

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Coronavirus 2019 (COVID-19's) impact has gone far beyond its direct effect on morbidity and mortality. In addition to adversely impacting non-COVID health care utilization, the pandemic has resulted in a deep global economic contraction due to lockdown policies and declining demand and supply of goods and services. As a result, most countries are experiencing lower levels of gross domestic product (GDP), rising unemployment, higher levels of impoverishment, and increasing income inequality. Some countries are more vulnerable to the economic contagion resulting from COVID-19, including those implementing more stringent lockdowns and those that are more globally integrated due to their dependence on trade, tourism, and remittances. In addition, countries with preexisting conditions of fiscal weakness due to higher dependence on external grant financing, low tax revenues, and large pre-crisis debt levels are struggling to implement countercyclical mitigative fiscal and monetary policies. In addition to declining economic activity, government revenues have declined, government borrowing is increasing, and public debt levels are projected to skyrocket globally. Higher debt levels will likely imply fiscal tightening for years to come. Implications for health financing are potentially dire, dependent in part on the combination of domestic government, external, and out-of-pocket financing for health that is extant across countries. Tentative projections indicate that, in the absence of reprioritization, growth in public spending for health can decline across most low- and middle-income countries in the region, including becoming negative in some cases, risking reversal of gains made toward expanding universal health coverage in recent years. To reduce the likelihood of such a scenario, and with the caveat that protecting levels of financing will not be effective if resources are not used properly to begin with, ministries of health will need to pay careful attention to planning and budgeting - demonstrating where waste can be reduced and efficiency enhanced - and prioritize within their outlays interventions that are the most cost-effective and equitable. At the same time, ministries of finance should improve the adequacy and predictability of outlays for the sector, taking a multiyear programming perspective and include potential additional resources that will be necessary to procure and deliver a COVID-19 vaccine, once an effective one becomes available. In doing so, they should consider augmenting resources via increasing the scope and breadth of health taxes and proactively seeking out debt relief opportunities, especially if these can be tied to efforts to reprioritize health within overall government budgets where this may be necessary. Whereas there is the perception that the health sector has been flooded with new resources to respond to the pandemic, it remains unclear to what extent these have been additional and not a result of reprogramming of outlays from other areas within health. To the extent COVID-19 presents an opportunity, it is one for removing any doubts that health and the economy are inextricably linked, nudging both ministries of health and finance to reevaluate their priorities, accountabilities, and performance to sustain improvements in both population health, including for ensuring pandemic preparedness, and economic performance.

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