Abstract: Health systems are not just about improving health: good ones also ensure that people are protected from the financial consequences of receiving medical care. Anecdotal evidence suggests health systems often perform badly in this respect, apparently with devastating consequences for households, especially poor ones and near-poor ones. Two principal methods have been used to measure financial protection in health. Both relate a household's out-of-pocket spending to a threshold defined in terms of living standards in the absence of the spending: the first defines spending as catastrophic if it exceeds a certain percentage of the living standards measure; the second defines spending as impoverishing if it makes the difference between a household being above and below the poverty line. The paper provides an overview of the methods and issues arising in each case, and presents empirical work in the area of financial protection in health, including the impacts of government policy. The paper also reviews a recent critique of the methods used to measure financial protection.

Two key policy goals in the health sector are equity and financial protection. New methods, data and powerful computers have led to a surge of interest in quantitative analysis that permits monitoring progress toward these objectives, and comparisons across countries. ADePT is a new computer program that streamlines and automates such work, ensuring that results are genuinely comparable and allowing them to be produced with a minimum of programming skills. This book provides a step-by-step guide to the use of ADePT for quantitative analysis of equity and financial protection in the health sect

Abstract: "While there is a great deal of anecdotal evidence on the economic effects of adverse health shocks, there is relatively little hard empirical evidence. The author builds on recent empirical work to explore in the context of postreform Vietnam two related issues: (1) how far household income and medical care spending responds to health shocks, and (2) how far household consumption is protected against health shocks. The results suggest that adverse health shocks - captured by negative changes in body mass index (BMI) - are associated with reductions in earned income. This appears to be only partly - if at all - due to a reverse feedback from income changes to BMI changes. By contrast, there is a hint - the relevant coefficient is not significant - that adverse BMI shocks may result in increases in unearned income. This may reflect additional gifts, remittances, and so on, from family and friends following the health shock. Medical spending is found to increase following an adverse health shock, but not among those with health insurance. The impact for the uninsured is large, equal in absolute size to the income loss associated with a BMI shock. The lack of impact for the insured points to complete insurance against the medical care costs associated with health shocks, and is consistent with the very generous coverage of Vietnam's health insurance program in this period. The question arises: have Vietnamese households been able to hold their food and nonfood consumption constant in the face of these income reductions and extra medical care outlays? The results suggest not. For the sample as a whole, both food and nonfood consumption are found to be responsive to health shocks, indicating an inability to smooth nonmedical consumption in the face of health shocks. Further analysis reveals some interesting differences across different groups within the sample. Households with insurance come no closer to smoothing nonmedical consumption than uninsured households. Furthermore, and somewhat counterintuitively, better-off households - including insured households - fare worse than poorer households in smoothing their nonmedical consumption in the face of health shocks, despite the fact that in the case of insured households there are no medical bills associated with an adverse health event. Why the poor rely on dissaving and borrowing to such an extent, and do not apparently reduce their food and nonfood consumption following an adverse health shock while the better-off do, may be because the levels of food and nonfood consumption of the poor are simply too low relative to basic needs to enable them to cut back in the face of an adverse BMI shock."--World Bank web site.

Many Americans believe that people who lack health insurance somehow get the care they really need. Care Without Coverage examines the real consequences for adults who lack health insurance. The study presents findings in the areas of prevention and screening, cancer, chronic illness, hospital-based care, and general health status. The committee looked at the consequences of being uninsured for people suffering from cancer, diabetes, HIV infection and AIDS, heart and kidney disease, mental illness, traumatic injuries, and heart attacks. It focused on the roughly 30 million-one in seven-working-age Americans without health insurance. This group does not include the population over 65 that is covered by Medicare or the nearly 10 million children who are uninsured in this country. The main findings of the report are that working-age Americans without health insurance are more likely to receive too little medical care and receive it too late; be sicker and die sooner; and receive poorer care when they are in the hospital, even for acute situations like a motor vehicle crash.

Americans are accustomed to anecdotal evidence of the health care crisis. Yet, personal or local stories do not provide a comprehensive nationwide picture of our access to health care. Now, this book offers the long-awaited health equivalent of national economic indicators. This useful volume defines a set of national objectives and identifies indicatorsâ€"measures of utilization and outcomeâ€"that can "sense" when and where problems occur in accessing specific health care services. Using the indicators, the committee presents significant conclusions about the situation today, examining the relationships between access to care and factors such as income, race, ethnic origin, and location. The committee offers recommendations to federal, state, and local agencies for improving data collection and monitoring. This highly readable and well-organized volume will be essential for policymakers, public health officials, insurance companies, hospitals, physicians and nurses, and interested individuals.

This report is the first of its kind to measure health service coverage and financial protection to assess countries' progress towards universal health coverage. It shows that at least 400 million people do not have access to one or more essential health services and 6% of people in low- and middle-income countries are tipped into or pushed further into extreme poverty because of health spending. Universal health coverage (UHC) means that all people receive the quality essential health services they need without being exposed to financial hardship. A significant number of countries at all levels of development are embracing the goal of UHC as the right thing to do for their citizens. It is a powerful social equalizer and contributes to social cohesion and stability. Every country has the potential to improve the performance of its health system in the main dimensions of UHC: coverage of quality services and financial protection for all. Priorities strategies and implementation plans for UHC will differ from one country to another. Enhanced and expanded monitoring of health under the Sustainable Development Goals (SDGs) should seek to build on that experience sharpening our focus on the key health service and financial protection interventions that underpin UHC. Effective UHC tracking is central to achieving the global goals for poverty alleviation and health improvement set by the World Bank Group and WHO. Without it policymakers and decision-takers cannot say exactly where they are or set a course for where they want to go. They cannot know whether they are focussing their efforts in the right areas or whether their efforts are making a difference. Monitoring is thus fundamental to the achievement of UHC objectives. It will also be vital to the realization of the SDGs. This report is a critical step to show how monitoring progress can be done telling us what the state of coverage of interventions and financial protection is and telling us where to focus most.

Roughly 40 million Americans have no health insurance, private or public, and the number has grown steadily over the past 25 years. Who are these children, women, and men, and why do they lack coverage for essential health care services? How does the system of insurance coverage in the U.S. operate, and where does it fail? The first of six Institute of Medicine reports that will examine in detail the consequences of having a large uninsured population, Coverage Matters: Insurance and Health Care, explores the myths and realities of who is uninsured, identifies social, economic, and policy factors that contribute to the situation, and describes the likelihood faced by members of various population groups of being uninsured. It serves as a guide to a broad range of issues related to the lack of insurance coverage in America and provides background data of use to policy makers and health services researchers.