Non-homogeneity in the efficiency evaluation of health systems.

BACKGROUND: An international comparison of health system performance is a popular tool of health policy analysis. However, the efficiency evaluation of health systems is a practical example of an international comparison in which non-homogeneity is expected. The objective of this paper is to evaluate the efficiency of health systems by models in which a degree of non-homogeneity among countries is considered. METHODS: We study the problem of non-homogeneity of health systems in the theoretical framework of the data envelopment analysis (DEA), which is a popular method of efficiency evaluation with hundreds of applications from various fields. DEA assume the homogeneity of production units and the homogeneity of the environment in which the production units operate. Hence, we compiled a summary of 14 recommendations on how to deal with the non-homogeneity in the DEA models. The analysed sample includes 38 OECD member countries. The data are from the year 2019. RESULTS: As an example, we evaluated the health system efficiency of the Czech Republic. We used the DEA models with the neighbourhood measure of distance and the constraint limiting the comparison of countries with different levels of economic development. The health system inputs were the numbers of physicians, nurses, and hospital beds. In the production of the intermediate outputs (doctor consultations, inpatient care discharges), the Czech Republic should look at Poland, Slovakia and Slovenia. In the production of health outcomes (life expectancy), the peer countries are France, Italy and Switzerland. CONCLUSIONS: The results of the DEA analysis are only indicative because no single analytical method can determine whether a health system is better or worse than others. We need to combine different methods, and DEA is one of them. We consider DEA as an exploratory method, not a method providing definitive answers.

The way to data: opinions and recommendations for the provision of health data for secondary use.

Healthcare data held by state-run organisations is a valuable intangible asset for society. Its use should be a priority for its administrators and the state. A completely paternalistic approach by administrators and the state is undesirable, however much it aims to protect the privacy rights of persons registered in databases. In line with European policies and the global trend, these measures should not outweigh the social benefit that arises from the analysis of these data if the technical possibilities exist to sufficiently protect the privacy rights of individuals. Czech society is having an intense discussion on the topic, but according to the authors, it is insufficiently based on facts and lacks clearly articulated opinions of the expert public. The aim of this article is to fill these gaps. Data anonymization techniques provide a solution to protect individuals' privacy rights while preserving the scientific value of the data. The risk of identifying individuals in anonymised data sets is scalable and can be minimised depending on the type and content of the data and its use by the specific applicant. Finding the optimal form and scope of deidentified data requires competence and knowledge on the part of both the applicant and the administrator. It is in the interest of the applicant, the administrator, as well as the protected persons in the databases that both parties show willingness and have the ability and expertise to communicate during the application and its processing.

Health systems in the mirror of international comparisons.

The international comparison of health systems is a frequently used tool of health policy. It assumes that international experiences are, at least to some extent, transferable from one country to another. The aim of this article is to review selected methods of international comparison of health systems. At the same time, we ask the question of how useful each method is for the evaluation of the Czech health system.

Regional inequalities and substitutability of health resources in the Czech Republic: a five methods of evaluation.

BACKGROUND: An analysis of the regional distribution of health resources is one of the tools for evaluating equal geographic access to health care. The usual analytical approach to an assessment of regional differences is to evaluate each health resource separately. This is a sensible approach, because there may be systematic reasons for any differences, for example, higher salaries in urban areas. However, a separate evaluation of the regional distribution of health resource capacities may be misleading. We should evaluate all health resource capacities as a whole and consider the substitutability of resources. OBJECTIVE: This study aims to measure regional inequalities in the Czech Republic with the help of alternative approaches to the evaluation of regional inequalities in the case of several substitutable health resources. METHODS: Five alternative evaluation methods (models) are described and applied: the separate evaluation, expert model, market model, common weights model, and production frontier model. RESULTS: The regional distribution of physicians and nurses in the Czech Republic in 2017 was evaluated. In spite of many regulations at the national and regional levels, we have found inequalities in regional resource distribution. The models that consider all health resources and the possibility of a resource substitution show lower inequalities between regional health resource capacities. CONCLUSION: Both researchers and policy-makers should always consider the possibility of resource substitutions in the assessment of regional inequalities.

Expenditures on Mental Health Care in the Czech Republic in 2015.

Expenditures on mental health care in the Czech Republic are not being published regularly, yet they are indispensable for evaluation of the ongoing reform of Czech mental health care. The main objective of this study is to estimate the size of these expenditures in 2015 and make a comparison with the last available figures from the year 2006. The estimation is based on an OECD methodology of health accounts, which structures health care expenditures according to health care functions, provider industries, and payers. The expenditures are further decomposed according to diagnoses, and inputs used in service production. The amount spent on mental health care in 2015 reached more than 13.7 billion Czech korunas (EUR 501.6 million), which represented 4.08% of the total health care expenditures. This ratio is almost identical with the 2006 share (4.14%). There are no significant changes in the relative expenditures on mental health care and in the structure of service provision. The Czech mental health care system remains largely hospital based with most of all mental health care expenditures being spent on inpatient care. Future developments in the expenditures will indicate the success of the current effort to deinstitutionalise mental health care.

Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis.

The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations.

Problematic and risky sexual behaviour under the influence of alcohol among university students.

OBJECTIVE: The objective of this research was to determine the prevalence of problematic and risky sexual behaviour after alcohol consumption and the correlation between this prevalence and sex, behavioural factors, problematic drinking, and alcohol consumption characteristics. METHODS: A survey of students was carried out at four faculties. Data were gathered via internet and self-administered paper-pencil questionnaires. The analysis employed Pearson's chi-squared test, gross odds ratios and logistic regression to calculate the adjusted odds ratios (OR) and their confidence interval (CI). RESULTS: Problematic drinking was detected by the CAGE test. Sixteen percent of students reached the CAGE score of 2, which indicates a potential threat of addiction, while 6% of students reached even higher problematic scores (3 or 4). Among those respondents who did drink alcohol, 23% had unprotected sex and 21% had sex which they later regretted. There were some differences between male and female respondents with men reporting more instances of risky behaviour. Among university students, problematic and risky sexual behaviour after alcohol use is associated with sex, the intensity of problematic drinking, first drunkenness, the place of alcohol use, and attitude to alcohol use. CONCLUSIONS: Problematic drinking and risky sexual behaviour after alcohol consumption exist among students and deserve special attention and response in the form of suitable measures. Problematic and risky sexual behaviour after alcohol consumption among university students is associated with behavioural factors and characteristics of alcohol use that allow a targeted approach to preventive efforts.

[International Comparison of Health System Performance in Visegrad Countries]. / Mezinárodní srovnání výkonnosti zdravotnictví ve visegradských zemích.

The objective of this study is to evaluate performance of the health systems in Visegrad countries - the Czech Republic, Hungary, Poland, and Slovakia. For a comparison, Austria and Germany are included, as they represent Western European countries neighbouring with the Visegrad countries. The health system performance is evaluated by six different measures.In spite of the fact, that methodologies, sets of countries, and time periods differ, we observe very similar findings. The Czech Republic has the best performing health system from the Visegrad countries, and Hungary looks like having the worst performing health system. In case of Poland, the indicators based on subjective view of population show worse performance of the health system than the other more objectively oriented indicators. It seems that Polish people view the health system too negatively in comparison with its real performance. If Germany and Austria are included in the comparison, we observe an existing gap between these two Western European countries and Visegrad countries.Key words: health system performance, Visegrad countries, international comparison.

Mental health policy in Eastern Europe: a comparative analysis of seven mental health systems.

BACKGROUND: The objective of this international comparative study is to describe and compare the mental health policies in seven countries of Eastern Europe that share their common communist history: Bulgaria, the Czech Republic, Hungary, Moldova, Poland, Romania, and Slovakia. METHODS: The health policy questionnaire was developed and the country-specific information was gathered by local experts. The questionnaire includes both qualitative and quantitative information on various aspects of mental health policy: (1) basic country information (demography, health, and economic indicators), (2) health care financing, (3) mental health services (capacities and utilisation, ownership), (4) health service purchasing (purchasing organisations, contracting, reimbursement of services), and (5) mental health policy (policy documents, legislation, civic society). RESULTS: The social and economic transition in the 1990s initiated the process of new mental health policy formulation, adoption of mental health legislation stressing human rights of patients, and a strong call for a pragmatic balance of community and hospital services. In contrast to the development in the Western Europe, the civic society was suppressed and NGOs and similar organizations were practically non-existent or under governmental control. Mental health services are financed from the public health insurance as any other health services. There is no separate budget for mental health. We can observe that the know-how about modern mental health care and about direction of needed reforms is available in documents, policies and programmes. However, this does not mean real implementation. CONCLUSIONS: The burden of totalitarian history still influences many areas of social and economic life, which also has to be taken into account in mental health policy. We may observe that after twenty years of health reforms and reforms of health reforms, the transition of the mental health systems still continues. In spite of many reform efforts in the past, a balance of community and hospital mental health services has not been achieved in this part of the world yet.

Mental health services in the health accounts: the Czech Republic.

BACKGROUND: Policy makers as well as health services researchers lack information on financial flows within national mental health systems. The studies that are available use different methodologies and hence it is difficult to make any comparisons. The aim of this study was to modify the existing health accounting framework and apply it to describe and analyse the financial flows within a national mental health system. METHODS: Mental health expenditures are classified by the three-dimensional methodology of OECD health accounts that is extended by two other dimensions for the purpose of the study. RESULTS: The framework of five-dimensional mental health accounts is introduced and applied to mental health expenditure in the Czech Republic, 2006. Mental health expenditure is estimated to be 4.14% of the total health expenditure. Mental health expenditure is classified based on its source of financing, provider industry, health-care function, cost category and diagnostic group. CONCLUSIONS: Health expenditure estimates present the most detailed information on resource allocation in the mental health system of the Czech Republic. The application of the standardized framework in other countries can improve the quality of international comparisons. On the national level, especially if the time series are available, mental health accounts can serve as a useful tool for strategic resource allocation decisions. This is particularly useful for the countries that plan changes in resource allocation directed from institutional to community-based care.

Mental health care system and mental health expenditures in the Czech Republic.

BACKGROUND: Although the mental health care is a substantial component of the health system in the Czech Republic, there is a lack of information and research on mental health expenditures. Determining the level and profile of mental health expenditures is the first step in achieving awareness of the cost of mental illness to society. AIMS OF THE STUDY: To describe the mental health care financing and delivery system in the Czech Republic and to estimate the mental health expenditures in 2001. The paper examines expenditures with regard to structure by type of service, relative share of total health expenditures, and relative share of the gross domestic product. It also makes international comparisons of mental health expenditures between the Czech Republic and other countries. METHODS: The data discussed in this study come from the Institute of Health Information and Statistics of the Czech Republic and from the General Health Insurance Fund of the Czech Republic. Mental health expenditures are defined as expenditures on services for patients with primary or first-listed diagnoses from Chapter V, Mental and Behavioural Disorders (F00-F99), of the Tenth Revision of International Classification of Diseases (ICD-10). Different methods of allocation are used for various types of services. In addition, expenditures of sickness insurance related to mental illness are also estimated. RESULTS: Mental illness is diagnosed and treated in about 4% of the population. The share of mental illness on the total morbidity in the population is approximately 2%. The share of mental health expenditures on both the total health expenditures (3.54%) and the gross domestic product (0.26%) is low when compared to levels in other developed countries. Psychiatric hospitals consume 35.6% of mental health expenditures; prescribed drugs and medical aid consume 33.2%; specialized outpatient services consume 17.4%; and shares of other services are relatively low. IMPLICATIONS FOR HEALTH CARE POLICY FORMULATION: First, if the amount of expenditures allocated to mental health can be interpreted as an indicator of the government's commitment to mental health, then, in comparison to other developed countries, mental health has a low priority in the Czech Republic. Second, the improved availability of data on morbidity and regular analyses of these data are needed and should yield fast and valuable results.