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After the fall of communism, the healthcare systems of Central and Eastern European countries underwent enormous transformation, resulting in departure from publicly financed healthcare. This had significant adverse effects on equity in healthcare, which are still evident. In this paper, we analyzed the role of government and households in financing healthcare in eight countries (EU-8): Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia, and Slovenia. A desk research method was applied to collect quantitative data on healthcare expenditures and qualitative data on gaps in universal health coverage. A linear regression analysis was used to analyze a trend in health expenditure over the years 2000–2018. Our results indicate that a high reliance on out-of-pocket payments persists in many EU-8 countries, and only a few countries have shown a significant downward trend over time. The gaps in universal coverage in the EU-8 countries are due to explicit rationing (a limited benefit package, patient cost sharing) and implicit mechanisms (wait times). There is need to increase the role of public financing in CEE countries through budget prioritization, reducing patient co-payments for medical products and medicines, and extending the benefit package for these goods, as well as improving the quality of care.

After the fall of communism, the healthcare systems of Central and Eastern European countries underwent enormous transformation, resulting in departure from publicly financed healthcare. This had significant adverse effects on equity in healthcare, which are still evident. In this paper, we analyzed the role of government and households in financing healthcare in eight countries (EU-8): Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia, and Slovenia. A desk research method was applied to collect quantitative data on healthcare expenditures and qualitative data on gaps in universal health coverage. A linear regression analysis was used to analyze a trend in health expenditure over the years 2000-2018. Our results indicate that a high reliance on out-of-pocket payments persists in many EU-8 countries, and only a few countries have shown a significant downward trend over time. The gaps in universal coverage in the EU-8 countries are due to explicit rationing (a limited benefit package, patient cost sharing) and implicit mechanisms (wait times). There is need to increase the role of public financing in CEE countries through budget prioritization, reducing patient co-payments for medical products and medicines, and extending the benefit package for these goods, as well as improving the quality of care.

AbstractYemen has been facing political, economic and social challenges since 1990. The fragility of Yemen's situation has led to a widespread conflict in 2015, resulting in the world's largest humanitarian crisis. Amid the humanitarian catastrophe and the collapsing health system, a platform for coordinating humanitarian health response, called the National Health Cluster, has expanded its operations across the country. The study aims to evaluate the performance of the National Health Cluster in Yemen between 2015 and 2019. A qualitative research design was employed, and ten semi-structured interviews with key Health Cluster stakeholders were conducted. The study applied the Active Learning Network for Accountability and Performance in Humanitarian Action (ALNAP) guide to evaluating humanitarian action using the Development Assistance Committee (DAC) criteria. Six evaluation criteria were selected: relevance, effectiveness, efficiency, effects, connectedness and participation. Inputs from interviews were manually transcribed and then analysed using NVivo 12 software. The study results indicate that the Health Cluster in Yemen has contributed to saving lives and strengthening the local health capacities in diseases surveillance. In addition, its positive effect was evident in improving the humanitarian health response coordination.Nevertheless, engaging health stakeholders, especially national organisations, was suboptimal. Exit strategies were lacking, while services to address mental health, non-communicable diseases, senior citizens and people with disabilities were not prioritised in the Health Cluster strategic plans and partners' response. To ameliorate Health Cluster performance, revising its objectives and establishing a cluster-specific rapid response funding mechanism are pivotal. Furthermore, preparing the national health system for recovery and actively engaging all stakeholders in the Health Cluster' response and strategic decisions would maximise its positive impact on Yemen's health system and population.

Yemen has been facing political, economic and social challenges since 1990. The fragility of Yemen's situation has led to a widespread conflict in 2015, resulting in the world's largest humanitarian crisis. Amid the humanitarian catastrophe and the collapsing health system, a platform for coordinating humanitarian health response, called the National Health Cluster, has expanded its operations across the country. The study aims to evaluate the performance of the National Health Cluster in Yemen between 2015 and 2019. A qualitative research design was employed, and ten semi-structured interviews with key Health Cluster stakeholders were conducted. The study applied the Active Learning Network for Accountability and Performance in Humanitarian Action (ALNAP) guide to evaluating humanitarian action using the Development Assistance Committee (DAC) criteria. Six evaluation criteria were selected: relevance, effectiveness, efficiency, effects, connectedness and participation. Inputs from interviews were manually transcribed and then analysed using NVivo 12 software. The study results indicate that the Health Cluster in Yemen has contributed to saving lives and strengthening the local health capacities in diseases surveillance. In addition, its positive effect was evident in improving the humanitarian health response coordination. Nevertheless, engaging health stakeholders, especially national organisations, was suboptimal. Exit strategies were lacking, while services to address mental health, non-communicable diseases, senior citizens and people with disabilities were not prioritised in the Health Cluster strategic plans and partners' response. To ameliorate Health Cluster performance, revising its objectives and establishing a cluster-specific rapid response funding mechanism are pivotal. Furthermore, preparing the national health system for recovery and actively engaging all stakeholders in the Health Cluster' response and strategic decisions would maximise its positive impact on Yemen's health system and population.

India is a pluralistic, multilingual and multi-ethnic country located in Southeast Asia. It is the 2nd largest populated country which has the 7th position in the geographical area. Since 1990 India has emerged as one of the wealthiest economies in the developing world. Recently it is the second fastest growing major economy in the world. Despite the fact that economical development in India has been accompanied by increases in life expectancy, literacy rates and food security, India's performance in the area of health care has been still far from satisfactory. The system of financing health care as a one of the most privatized in the world faces especially many problems. This paper would therefore attempt to describe and assess the system of financing health care in India. In order to outline to the readers the overall country context the first section will provide a brief description of the demographic, economic and health profile of the Indian population. The second and third sections will present the main methods of funding health care in India as well as and the budget of health care system. The concluding section would attempt to assess the financing system in India and offer a way forward for the better achievement of health care system goals.

Introduction: Long-term care (LTC) is organized in a fragmented manner. Payer agencies (PA) receive LTC funds from the agency collecting funds, and commission services. Yet, distributional equity (DE) across PAs, a precondition to geographical equity of access to LTC, has received limited attention. We conceptualize that LTC systems promote DE when they are designed to set eligibility criteria nationally (vs. locally); and to distribute funds among PAs based on needs-formula (vs. past-budgets or government decisions). Objectives: This cross-country study highlights to what extent different LTC systems are designed to promote DE across PAs, and the parameters used in allocation formulae. Methods: Qualitative data were collected through a questionnaire filled by experts from 17 OECD countries. Results: 11 out of 25 LTC systems analyzed, fully meet DE as we defined. 5 systems which give high autonomy to PAs have designs with low levels of DE; while nine systems partially promote DE. Allocation formulae vary in their complexity as some systems use simple demographic parameters while others apply socio-economic status, disability, and LTC cost variations. Discussion and conclusions: A minority of LTC systems fully meet DE, which is only one of the criteria in allocation of LTC resources. Some systems prefer local priority-setting and governance over DE. Countries that value DE should harmonize the eligibility criteria at the national level and allocate funds according to needs across regions.

Introduction: Long-term care (LTC) is organized in a fragmented manner. Payer agencies (PA) receive LTC funds from the agency collecting funds, and commission services. Yet, distributional equity (DE) across PAs, a precondition to geographical equity of access to LTC, has received limited attention. We conceptualize that LTC systems promote DE when they are designed to set eligibility criteria nationally (vs. locally); and to distribute funds among PAs based on needs-formula (vs. past-budgets or government decisions). Objectives: This cross-country study highlights to what extent different LTC systems are designed to promote DE across PAs, and the parameters used in allocation formulae. Methods: Qualitative data were collected through a questionnaire filled by experts from 17 OECD countries. Results: 11 out of 25 LTC systems analyzed, fully meet DE as we defined. 5 systems which give high autonomy to PAs have designs with low levels of DE; while nine systems partially promote DE. Allocation formulae vary in their complexity as some systems use simple demographic parameters while others apply socio-economic status, disability, and LTC cost variations. Discussion and conclusions: A minority of LTC systems fully meet DE, which is only one of the criteria in allocation of LTC resources. Some systems prefer local priority-setting and governance over DE. Countries that value DE should harmonize the eligibility criteria at the national level and allocate funds according to needs across regions.