Addressing Dementia

The OECD Response

image of Addressing Dementia

The large and growing human and financial cost of dementia provides an imperative for policy action. It is already the second largest cause of disability for the over-70s and it costs $645bn per year globally, and ageing populations mean that these costs will grow.

There is no cure or effective treatment for dementia, and too often people do not get appropriate health and care services, leading to a poor quality of life. Our failure to tackle these issues provides a compelling illustration of some of today’s most pressing policy challenges. We need to rethink our research an innovation model, since progress on dementia has stalled and investment is just a fraction of what it is for other diseases of similar importance and profile. But even then a cure will be decades away, so we need better policies to improve the lives of people living with dementia now. Communities need to adjust to become more accommodating of people with dementia and families who provide informal care must be better supported. Formal care services and care institutions need to promote dignity and independence, while coordination of health and care services must be improved. But there is hope: if we can harness big data we may be able to address the gaps in our knowledge around treatment and care.




The role of big data in driving global co-operation and innovation in dementia research

The need to harness the large quantities of broad and deep data generated across laboratories worldwide, promote global collaboration and data sharing to accelerate research and development and the testing of new therapies and care models for Alzheimer’s and other dementias is today undisputed. The complexity of the dementia challenge and its heterogeneity requires moving beyond the traditional hypothesispredicated scientific approach to the simultaneous assessment of a multitude of factors within big data to discover the unexpected. Capitalising on big data will require, however, a strong effort at several levels. Big data for dementia is not just important for its size, but also for its scope that will go beyond the borders of the health system, requiring data sharing and collaboration among governments, researchers and industry, i.e. linking different communities together. Current research models are however, not well set up for this complexity. While big data networks are proliferating, and the volume and velocity of personal health and other data are rising, barriers still remain with respect to data sharing efforts. Some barriers are of a technical nature, as for issues related to interoperability and standards, storage, the technical infrastructure to allow data sharing. The most significant challenges are, however cultural, legal and ethical and are related to the lack of an open data culture or the disincentives that researchers and scientists face with respect to the disclosure of data. Public policy has a crucial role to play ensuring that framework conditions to promote data sharing are sound and supportive and in setting the conditions for trust and partnerships.


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