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This article addresses the need to establish a comprehensive conceptual framework for analysing healthcare systems and their transformations. It begins by offering an overview of the current state of the art in the field, pointing to the literature's absence of conceptual robustness in the definition of system types. By exploring the dimensions 'financing', 'provision' and 'regulation' of healthcare, the article then proceeds deductively in line with the 'Weberian method of ideal-types' to establish a taxonomy of 27 healthcare systems, of which three can be identified as 'ideal-types'. When applying this concept, not only can differences between healthcare systems be analysed, but also changes over time. The article concludes by identifying three forms of healthcare system transformation.

Background: The existence, usage and benefits of digital technologies in nursing care are relevant topics in the light of the current discussion on technologies as possible solutions to problems such as the shortage of skilled workers and the increasing demand for long-term care. A lack of good empirical overviews of existing technologies in the present literature prompted us to conduct this review. Its purpose was to map the field of digital technologies for informal and formal care that have already been explored in terms of acceptance, effectiveness and efficiency (AEE), and to show the scope of the used methods, target settings, target groups and fields of support. Methods: A systematic literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. In addition, project websites were manually screened for relevant publications. Results: Seven hundred fifteen papers were included in the review. Effectiveness studies have been most frequently performed for ICT, robots and sensors. Acceptance studies often focussed on ICT, robots and EHR/EMR. Efficiency studies were generally rare. Many studies were found to have a low level of evidence. Experimental designs with small numbers and without control groups were the most common methods used to evaluate acceptance and effectiveness. Study designs with high evidence levels were most commonly found for ICT, robots and e-learning. Technologies evaluated for informal caregivers and children or indicated for formal care at home or in cross-sectoral care were rare. Conclusion: We recommend producing high-quality evaluations on existing digital technologies for AEE in real-life settings rather than systematic reviews with low-quality studies. More focus should be placed on research into efficiency. Future research should be devoted to a closer examination of the applied AEE evaluation methods. Policymakers should provide funding to enable large-scale, long-term evaluations of technologies in the practice of care, filling the research gaps for technologies, target settings and target groups identified in this review.

This paper reports findings from a European Commission funded study of future long-term care expenditure in Germany, Italy, Spain and the United Kingdom, and presents projections of future long-term care expenditure in the four countries under a number of assumptions about the future. Macro-simulation (or cell-based) models were used to make comparable projections based on a set of common assumptions. A central base-case served as a point of comparison by which to explore the sensitivity of the models to alternative scenarios for the key determinants. The sensitivity of the models to variant assumptions about the future numbers of older people, the prevalence of functional dependency and informal care, patterns of long-term provision, and macroeconomic conditions are examined. It was found that, under the base-case, the proportion of gross domestic product spent on long-term care is projected to more than double between 2000 and 2050 in each country. The projected future demand for longterm care services for older people is sensitive to assumptions about the future number of older people, the prevalence of dependency and the availability of informal care, and projected expenditure is sensitive to assumptions about rises in the real unit-costs of services and the structure of the models. It is important, for planning purposes, to recognise the considerable uncertainty about future levels of long-term care expenditure.KEY WORDS -Long-term care expenditure, demand for long-term care, projections.

After fifteen years of existence, Germany's long-term care insurance shows both successes and weaknesses. The latter led to the 2008 reform, which concentrated on quality improvements, care management and careful adjustments of benefits. While attempts to improve quality and care management contain promising elements, new rules for adjustment are disappointing. This is also true for the issue of future financing as the modest increase in the contribution rate, which is part of the reform, only buys time. Thus, the next round of reform is already in the making, marking the scheme as a system of permanent reform. As Germany is one of the most clear-cut examples of social insurance, the assessment of this scheme and its recent reform also allow us to draw some general lessons for the design of long-term care social insurance schemes.

In this article, we will further the explanation of the state's changing role in health care systems belonging to the Organisation for Economic Cooperation and Development (OECD). We build on our analysis of twenty-three OECD countries, which reveals broad trends regarding governments' role in financing, service provision, and regulation. In particular, we identified increasing similarities between the three system types we delineate as National Health Service (NHS), social health insurance, and private health insurance systems. We argue that the specific health care system type is an essential contributor to these changes. We highlight that health care systems tend to feature specific, type-related deficiencies, which cannot be solved by routine mechanisms. As a consequence, non-system-specific elements and innovative policies are implemented, which leads to the emergence of "hybrid" systems and indicates a trend toward convergence, or increasing similarities. We elaborate this hypothesis in two steps. First, we describe system-specific deficits of each health care system type and provide an overview of major adaptive responses to these deficits. The adaptive responses can be considered as non-system-specific interventions that broaden the portfolio of regulatory policies. Second, we examine diagnosis-related groups (DRGs) as a common approach for financing hospitals efficiently, which are nevertheless shaped by type-specific deficiencies and reform requirements. In the United States' private insurance system, DRGs are mainly used as a means of hierarchical cost control, while their implementation in the English NHS system is to increase productivity of hospital services. In the German social health insurance system, DRGs support competition as a means to control self-regulated providers. Thus, DRGs contribute to the hybridization of health care systems because they tend to strengthen coordination mechanisms that were less developed in the existing health care systems.

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As the numbers of older people rise in Europe, the importance of long-term care services in terms of numbers of users and expenditures can be expected to grow. This article examines the implications for expenditure in four countries of a national entitlement to long-tem care services for all older people, based on assessed dependency. It is based on a European Commission-funded crossnational study, which makes projections to 2050 of long-term care expenditure in Germany, Italy, Spain and the UK. The policy option investigated is based on the German long-term care insurance scheme, which embodies the principle of an entitlement on uniform national criteria to long-term care benefits. The research models this key principle of the German system in the other three participating countries, with respect to home care services. The study finds that, if all moderately/severely dependent older people receive an entitlement to formal (in-kind) home care, the impact on expenditure could be considerable, but would vary greatly between countries. The impact on long-term care expenditure is found to be the least in Germany, where there is already an entitlement to benefits; and the greatest in Spain, where reliance on informal care is widespread. This article discusses the policy implications of these results.