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1.
J Health Econ ; 19(5): 553-83, 2000 Sep.
Article in English | MEDLINE | ID: mdl-11184794

ABSTRACT

This paper presents a comparison of horizontal equity in health care utilization in 10 European countries and the US. It does not only extend previous work by using more recent data from a larger set of countries, but also uses new methods and presents disaggregated results by various types of care. In all countries, the lower-income groups are more intensive users of the health care system. But after indirect standardization for need differences, there is little or no evidence of significant inequity in the delivery of health care overall, though in half of the countries, significant pro-rich inequity emerges for physician contacts. This seems to be due mainly to a higher use of medical specialist services by higher-income groups and a higher use of GP care among lower-income groups. These findings appear to be fairly general and emerge in countries with very diverse characteristics regarding access and provider incentives.


Subject(s)
Health Services Needs and Demand/statistics & numerical data , Health Services/statistics & numerical data , Health Status Indicators , Social Justice , Data Collection , Europe/epidemiology , Health Services Accessibility/economics , Health Services Accessibility/statistics & numerical data , Humans , Income , Medicine , Models, Econometric , Primary Health Care/statistics & numerical data , Specialization , United States/epidemiology
2.
J Health Econ ; 18(3): 263-90, 1999 Jun.
Article in English | MEDLINE | ID: mdl-10537896

ABSTRACT

This paper presents further international comparisons of progressivity of health care financing systems. The paper builds on the work of Wagstaff et al. [Wagstaff, A., van Doorslaer E., et al., 1992. Equity in the finance of health care: some international comparisons, Journal of Health Economics 11, pp. 361-387] but extends it in a number of directions: we modify the methodology used there and achieve a higher degree of cross-country comparability in variable definitions; we update and extend the cross-section of countries; and we present evidence on trends in financing mixes and progressivity.


Subject(s)
Health Policy/economics , National Health Programs/economics , Social Justice , Taxes/classification , Cross-Cultural Comparison , Europe , Finland , Germany , Health Services Research , Humans , Income/statistics & numerical data , Insurance, Health/economics , Sweden , Taxes/economics , Taxes/statistics & numerical data
3.
J Health Econ ; 18(3): 291-313, 1999 Jun.
Article in English | MEDLINE | ID: mdl-10537897

ABSTRACT

The OECD countries finance their health care through a mixture of taxes, social insurance contributions, private insurance premiums and out-of-pocket payments. The various payment sources have very different implications for both vertical and horizontal equity and on redistributive effect which is a function of both. This paper presents results on the income redistribution consequences of the health care financing mixes adopted in twelve OECD countries by decomposing the overall income redistributive effect into a progressivity, horizontal inequity and reranking component. The general finding of this study is that the vertical effect is much more important than horizontal inequity and reranking in determining the overall redistributive effect but that their relative importance varies by source of payment. Public finance sources tend to have small positive redistributive effects and less differential treatment while private financing sources generally have (larger) negative redistributive effects which are to a substantial degree caused by differential treatment.


Subject(s)
Health Policy/economics , National Health Programs/economics , Social Justice , Taxes/classification , Cross-Cultural Comparison , Europe , Financing, Personal/statistics & numerical data , Health Services Research , Humans , Insurance, Health/economics , Models, Econometric , Taxes/economics , Taxes/statistics & numerical data
4.
J Health Econ ; 16(1): 93-112, 1997 Feb.
Article in English | MEDLINE | ID: mdl-10167346

ABSTRACT

This paper presents evidence on income-related inequalities in self-assessed health in nine industrialized countries. Health interview survey data were used to construct concentration curves of self-assessed health, measured as a latent variable. Inequalities in health favoured the higher income groups and were statistically significant in all countries. Inequalities were particularly high in the United States and the United Kingdom. Amongst other European countries, Sweden, Finland and the former East Germany had the lowest inequality. Across countries, a strong association was found between inequalities in health and inequalities in income.


Subject(s)
Health Care Rationing/economics , Health Status , Income , Social Justice , Developed Countries , Health Care Rationing/standards , Health Policy/economics , Humans , Regression Analysis , Self-Assessment
5.
J Soc Policy ; 15(3): 293-313, 1986 Jul.
Article in English | MEDLINE | ID: mdl-10280415

ABSTRACT

This paper examines the extent to which low household income influences access to primary health care in both the US and the UK. The basic approach is to ask whether, given data about a person's age, sex, and self-reported general health status and history, extra information about whether or not they come from a low-income household adds a statistically significant amount to the probability of their obtaining various amounts of primary medical care. The measure of primary medical care is derived from the number of physician visits and it, along with the other data, is drawn from the 1977 US National Medical Care Expenditure Survey and the 1980 UK General Household Survey. Although the two surveys cover different sample periods, they are similar enough to make comparisons between the two countries possible. The main conclusion drawn from the study is that low household income is not an important determinant of the actual use of primary health care resources. Only with subgroups of the low-income population (UK women and US relatively unhealthy individuals) does there appear to be a statistically significant effect, which is quite small in comparison to other factors.


Subject(s)
Health Services Accessibility/economics , Income , Primary Health Care/supply & distribution , Data Collection , Female , Humans , Male , Statistics as Topic , United Kingdom , United States
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