SustAgeable: Economic and social sustainability across time and space in an ageing society

Ageing, expenditures, and cost-containment in health and long-term care (SustAgeable work package 5) investigates factors associated with health and long-term care spending in older population and proposes ways to mitigate cost increases in an equitable manner to promote both economic and social sustainability.

It is expected that population ageing will increase health and long-term expenditures risking the economic sustainability of Finnish national and local governments. Due to population ageing, the GDP share of health care expenditures in Finland is projected to grow from 6.1% to 6.9% from the year 2016 to 2070. The expected growth of long-term care expenditures is even higher, their share is projected to nearly double from 2.2% in 2016 to 4.2% in 2070. Against such expectations, researchers in health economics have challenged the idea that ageing would be factor explaining the growth of health care expenditures. Empirical research on the effects of ageing on per capita health care expenditures has indicated that the effect of patients’ age disappears after controlling for patients’ time to death, but some authors find age to be important. Such results are critical for policy design as they are used in setting the level of future health care budgets, which makes the effect of ageing on expenditures a fundamentally important question.

Leinonen Retina Laboratory

Research topics: visual neuroscience, neuronal plasticity, neuropharmacology, ocular therapeutics

Major techniques: in vivo disease models, electrophysiology, ophthalmic imaging (optical coherence tomography, scanning laser ophthalmoscopy), immunohistochemistry, light/fluorescence microscopy, immunoblotting, transcriptomics, proteomics

Data Literacy for Responsible Decision-Making (DATALIT)

The project investigates use of data as well as development and use of new tools for data-based decision-making in social and healthcare public organizations. The project examines current practices and development projects, as well as their institutional and societal implications and impacts. One of the starting points is to study and evaluate especially the possibilities of using tools and models, which are not based on profiling individuals. A central goal is to identify criteria for socially sustainable uses of data rather than provision of a list of general ethical principles.

The project is a part of DataLit consortium coordinated by the University of Helsinki. The multidisciplinary consortium combines social sciences, law and computer science. The aim of the project is to develop understandable and reliable practices and tools, which can utilise Finnish social, healthcare and well-being data and promote data literacy.

Funded by: Strategic Research Council 10/2020-9/2023