A promising approach in comparative research on care for the elderly

Long-term care (LTC) in the form of care provided in nursing homes, homes for the aged and home care is considered an appropriate answer to the growing needs of the aging populations of the industrialized world. However, the provision of and expenditures on LTC vary considerably between these industrialized countries. Although one would expect LTC to be subject to many internationally comparative studies, including all European countries, this is not the case. A paper presented by Damiani et al. in BMC Health Services Research contains an internationally comparative model regarding the development of LTC in Europe (2003 to 2007). They achieve an intriguing compromise between depth and width in the sparsely populated domain of internationally comparative research on LTC by characterizing countries' LTC and interpreting the large north/south differences found. Their results also show that 'cash for care' schemes form a substantial alternative to traditional LTC provision. An additional time series analysis showed that many countries seem to be engaged in reorganizing the LTC sector. This study widens knowledge in a neglected area of health services research and should serve as a source of inspiration for further studies

Bismarck or Beveridge: a beauty contest between dinosaurs

<p>Abstract</p> <p>Background</p> <p>Health systems delivery systems can be divided into two broad categories: National Health Services (NHS) on the one hand and Social Security (based) Health care systems (SSH) on the other hand. Existing literature is inconclusive about which system performs best. In this paper we would like to improve the evidence-base for discussion about pros and cons of NHS-systems versus SSH-system for health outcomes, expenditure and population satisfaction.</p> <p>Methods</p> <p>In this study we used time series data for 17 European countries, that were characterized as either NHS or SSH country. We used the following performance indicators: For health outcome: overall mortality rate, infant mortality rate and life expectancy at birth. For health care costs: health care expenditure per capita in pppUS$ and health expenditure as percentage of GDP. Time series dated from 1970 until 2003 or 2004, depending on availability. Sources were OECD health data base 2006 and WHO health for all database 2006. For satisfaction we used the Eurobarometer studies from 1996, 1998 and 1999.</p> <p>Results</p> <p>SSH systems perform slightly better on overall mortality rates and life expectancy (after 1980). For infant mortality the rates converged between the two types of systems and since 1980 no differences ceased to exist.</p> <p>SSH systems are more expensive and NHS systems have a better cost containment. Inhabitants of countries with SSH-systems are on average substantially more satisfied than those in NHS countries.</p> <p>Conclusion</p> <p>We concluded that the question 'which type of system performs best' can be answered empirically as far as health outcomes, health care expenditures and patient satisfaction are concerned. Whether this selection of indicators covers all or even most relevant aspects of health system comparison remains to be seen. Perhaps further and more conclusive research into health system related differences in, for instance, equity should be completed before the leading question of this paper can be answered. We do think, however, that this study can form a base for a policy debate on the pros and cons of the existing health care systems in Europe.</p

Spending more money, saving more lives? The relationship between avoidable mortality and healthcare spending in 14 countries

Item does not contain fulltextHealthcare expenditures rise as a share of GDP in most countries, raising questions regarding the value of further spending increases. Against this backdrop, we assessed the value of healthcare spending growth in 14 western countries between 1996 and 2006. We estimated macro-level health production functions using avoidable mortality as outcome measure. Avoidable mortality comprises deaths from certain conditions "that should not occur in the presence of timely and effective healthcare". We investigated the relationship between total avoidable mortality and healthcare spending using descriptive analyses and multiple regression models, focussing on within-country variation and growth rates. We aimed to take into account the role of potential confounders and dynamic effects such as time lags. Additionally, we explored a method to estimate macro-level cost-effectiveness. We found an average yearly avoidable mortality decline of 2.6-5.3 % across countries. Simultaneously, healthcare spending rose between 1.9 and 5.9 % per year. Most countries with above-average spending growth demonstrated above-average reductions in avoidable mortality. The regression models showed a significant association between contemporaneous and lagged healthcare spending and avoidable mortality. The time-trend, representing an exogenous shift of the health production function, reduced the impact of healthcare spending. After controlling for this time-trend and other confounders, i.e. demographic and socioeconomic variables, a statistically significant relationship between healthcare spending and avoidable mortality remained. We tentatively conclude that macro-level healthcare spending increases provided value for money, at least for the disease groups, countries and years included in this study