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A major objective of health policy in many countries is to avoid inequality in the distribution of health care resources. Our goal is to provide initial insight into the inequality in the regional distribution of different health care resources per capita and the variation of the inequality over time in Austria to provide starting points for policy recommendations and international comparisons. We also aim to examine whether the type of inequality measure and need-adjustment has an impact on the results. The findings reveal that inequality in the distribution of GPs with contracts with social health insurance is comparably small, but we observe an increase in inequality from 2002 to 2014. In general, there is a clear trend toward private physicians, of whom private specialists preferably open their practices in densely populated areas. Despite considerable reductions in public hospital beds between 2002 and 2014, the distribution across regions remains almost constant. The use of different inequality measures and need-adjustment provides additional insights so that custom-made policies to reduce inequalities can be developed. [ABSTRACT FROM AUTHOR]

Background: The organization of long-term care is one of the main challenges of public health and health policies in Europe and worldwide, especially in terms of care concepts for people with dementia. In Austria and the Czech Republic the majority of elderly institutionalized persons with dementia are cared for in nursing homes. It is however unclear, how many persons living in nursing homes in Austria and in the Czech Republic are suffering from cognitive impairment and dementia. In addition, basic information on the nutritional status, the status of mobility and the medication prescription patterns are often missing. To facilitate new effective and evidenced based care concepts, basic epidemiological data are in urgent need. Thus, DEMDATA was initiated to provide important basic data on persons living in nursing homes in Austria and the Czech Republic for future care planning.Methods: DEMDATA is a multicentre mixed methods cross-sectional study. Stratified and randomly drawn nursing homes in Austria and the Czech Republic are surveyed. The study protocol used in both study centres assesses four different domains: a) Resident, b) Care team, c) Relative and d) Environmental Factors. Resident's data include among others health status, cognition, dementia, mobility, nutrition, behavioural symptoms, pain intensity and quality of life. A minimum of 500 residents per country are included into the study (N = 1000 residents). The care team is asked about the use of the person-centred care and their burden. The relatives are asked about the number of visits and proxy-rate the quality of life of their family member. All staff employed in the nursing homes, all residents and relatives can voluntary take part in the study. The environmental factors include among others the organisational category of the nursing home, number of residents, number of rooms, social activities and the care concept. The project started in March 2016 and will be concluded in February 2018.Discussion: DEMDATA will provide important epidemiological data on four different nursing home domains in Austria and the Czech Republic, with a focus on the prevalence of dementia in this population. Thereby supplying decision and policy makers with important foundation for future care planning. [ABSTRACT FROM AUTHOR]