This survey analyses the scope and intensity of informal care for the elderly residing in their homes in Slovenia and their determinants: the residing municipality of the care recipient, geographical distance between the informal carer and the care recipient, to the care recipients' and the care givers' individual characteristics. With the increasing private out-of-pocket financial contribution, which is determined by municipality, the scope and intensity of informal care shows a significant increase as shown by regression analysis. Inter-municipal cooperation and the introduction of gradual private financial contribution are proposed as tools for improving accessibility of social home care in Slovenia.
COBISS.SI-ID: 35060829
The purpose of the chapter is to examine the changes in the aging policies in Slovenia within the influences of the EY2012 together with the changes in social policies, i.e., austerity measures, which were the results of economic crisis. We analysed the dominant trends in the development of the care for older people (including both institutional care and home care services), starting from 1992, when Slovenia gained independence, until the recent economic crisis. We concluded that the social policy development was marked by results of austerity measures, which significantly worsen the quality of life of older people and their families.
COBISS.SI-ID: 35346269
The presence of multiple coexisting chronic diseases in individuals and the expected rise in chronic diseases over the coming years are increasingly being recognized as major public health and health care challenges. In our article we use Slovenian data of the Wave 6 of SHARE dataset. We model the presence of multiple coexisting chronic diseases as a network analysis problem. This has special scientific relevance as, to our knowledge, network analysis has not been used so far to study this problem, and, also, never before in the analysis using SHARE data. We find that a) the method of network analysis can be used for this purpose and provides a set of consistent main groupings/clusters of diseases with common prevalence among the elderly; b) the groupings have strongly statistically significant effects on the health care utilization. The analysis provides a new statistical method and model with extensive applications for the analysis of multiple coexisting diseases in health economics and medical sciences in general in future.
COBISS.SI-ID: 1846158