National health expenditure highlights, fiscal year 1976.
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OBJECTIVE: To determine "out-of-pocket" expenditures related to osteoarthritis (OA) and to explore whether demographic details, health status scores (Medical Outcomes Study 36-item Short Form [SF-36] and Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]), or perception of social effect were expenditure determinants. METHODS: A prospective cohort study of community-dwelling subjects with OA completed 4 consecutive 3-month cost diaries. In addition, subjects completed the SF-36 and WOMAC at baseline and at 12 months. Social impact at baseline was collected. Four groups categorized by age and sex were compared. Patients undergoing joint replacement were excluded. RESULTS: Differences in health status were defined more by age than by sex, especially for physical function. The costs to the patients were high, particularly for women, who spent more on medications and special equipment. Women also reported receiving more assistance from family and friends. Higher disease-related expenditures were associated with greater pain levels, poorer social function and mental health, and longer duration of disease. Significant independent predictors of total patient expenditures related to OA were being female and having joint stiffness. CONCLUSION: Despite having heavily subsidized health care and access to the Pharmaceutical Benefits Scheme, out-of-pocket costs for patients with OA in Australia are considerable. Higher expenditures for patients with OA are related to more advanced disease, especially for women.
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The fourth in a series of five, this article presents and analyses data on cost recovery and community cost-sharing, two key aspects of the Bamako Initiative which have been implemented in Benin and Guinea since 1986. The data come from approximately 400 health centres and result from the six-monthly monitoring sessions conducted from 1989 to 1993. Community involvement in the financing of local operating costs in the two national scale programmes is also described. In Benin and Guinea, a user fee system generates the community financed revenue with the aim of covering local operating costs including drugs. Health worker salaries remain the responsibility of the government and donor funding covers vaccine and investment costs. Village health committees manage and control resources and revenue. The community is also involved in decision making, strategy definition and quality control. In Benin in 1993, community financing revenue amounted to about US$0.6 per capita per year and generally covered all local recurrent non salary costs except vaccines and left a surplus. Although total costs and revenues were slightly lower in Guinea for the same period, over-all user fee revenue (around US$0.3 per capita per year) covered local recurrent costs (not including salaries or vaccines). A comparison of costs and revenue between regions and individual health centres revealed important differences in cost recovery ratios. In Benin, some centres recovered more than twice the local costs targeted for community financing. Twenty-five per cent of centres in Guinea did not manage to cover their designated local recurrent costs. The longitudinal analysis showed that the level of cost recovery remained stable over time even as preventive care (and especially EPI) coverage rose significantly. To better understand the most important characteristics affecting cost recovery levels, best performing health centres in terms of cost-recovery levels in 1993 were compared to worst performing centres. This analysis showed that the size of the target population of the health centre is a key determinant of cost-recovery in both countries. In addition, in Guinea the utilization of curative care linked to geographical access and in Benin the average revenue per case linked to the number of deliveries proved to be additional factors of importance. In best performing centres, financial viability improved over time in both countries between 1990 and 1993. Finally, the implications of these conclusions for the planning of health centre revitalization in West Africa are discussed.
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To monitor the growth of the health-care sector in Texas, we made annual estimates of aggregate health spending in 1989 and 1990 and compared them with estimates from prior years and with national trends. Expenditures are grouped by total spending, spending by the state government, and distribution of payment. To achieve data that could be compared with national figures, we followed the methods used by the federal government to estimate national health spending. Results indicate a return to the rapid rates of growth experienced in the early 1980s. Possible explanations for some major trends in spending and in sources of payment are provided. Basic features of recent efforts to contain costs are addressed and related to the trends.
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Health funding is central to public health planning and clinical practice, hence this comparison of GDP health expenditure and five year post-diagnostic cancer survival rates of England and Wales with the USA and eight European countries. The three lowest proportional GDP health expenditures over the period 1980-1990 were Denmark, England and Wales, and Spain. The USA had the highest proportional GDP expenditure, followed by France, Germany, and The Netherlands. Overall the USA had the best cancer survival rates in the 14 sites reviewed, followed by Switzerland, The Netherlands, and Germany. The least successful were Spain, England and Wales, and Italy. In respect to the high incidence cancers, colorectal, lung, and female breast cancers, England and Wales survival rates were the poorest of all ten countries, followed by Denmark and Spain. Higher GDP health expenditure and longer survival rates for each gender were significantly correlated indicating a possible association between fiscal input and clinical outcomes, which poses problems for the development of effective public health.
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