In 2018, Welsh Government published the Dementia Action Plan for Wales 2018-2022, the plan sets out our vision for Wales to be a dementia friendly nation that recognises the rights of people with dementia to feel valued and to live as independently as possible in their communities. Achieving a dementia friendly nation requires a cross-Government, multi-agency and society wide response. This plan positively responds to this ambition; setting out the range of stakeholders who can support this agenda and the actions required to make a real change. The plan was developed with those who know most about what needs to be done to improve truly person-centred dementia services – those with lived experience of dementia, their families and carers and service providers.
The actions within the plan have been divided into 7 overarching themes; risk reduction and delaying onset; raising awareness and understanding; recognition and identification; assessment and diagnosis; living as well as possible for as long as possible with dementia; the need for increased support; and research.
Upon publication, Welsh Government also announced an additional £10 million a year to support the delivery of the key actions. Progress against the actions is overseen by the Dementia Oversight of Implementation and Impact Group. Membership of this group includes people living with dementia, their carers and families.
Welsh Government has commissioned an independent evaluation of the Dementia Action Plan to assess the extent to which the Plan has contributes to delivering the vision for dementia care in Wales. It will assess the contribution a Team Around the Individual (TAI) approach has made to providing person-centred care for people with dementia and their families and carers. Importantly, this will involve capturing the views and experiences of people with dementia, their families and carers as to their ability and confidence to self-care, their ability to advocate, and their experiences of receiving the person-centred and flexible care they should expect through a TAI approach.