Alex Leff

UCL Queen Square Institute of Neurology

Alex Leff photo

Alex is a Professor of Cognitive Neurology and a Consultant Neurologist at the UCL Queen Square Institute of Neurology. His main clinical and academic interest is in cognitive rehabilitation, especially in the field of acquired language disorders and vision. 
He has developed three web-based rehabilitation tools that can be used to by therapists and patients with hemianopia or reading problems, and is working on four other electronic therapy projects sponsored by the MRC, NIHR and The Stroke Association.  He thinks that web-based applications are a good way to make scientifically proven behavioural therapies available to suitable patients and their therapists.

Alex Leff is speaking at the following session/s

Gotcha! Co-design of a Serious Game to Help People With Dementia Name Familiar People

People with dementia often have problems naming familiar people, which is distressing for them and the people that they are trying to name. They know who the person is, and their relationship to them, it is just that they cannot access the name in word form. Previous work has shown that this condition can be improved by mass practice and adaptive cuing, using photo cards as prompts. With NIHR funding and working with a software team that specialise in gamification (SoftV), we have co-designed a therapy for this condition. Dr Doogan will cover, in some depth, the processes we used in patient and carer co-design (qualitative methodology) both to form the Gotcha! Therapy app and to understand why such patients wish to take part. Prof Leff will then show quantitative data from the app using a case-series approach to see if there were any changes in the participants ability to name trained faces.

Takeaway:

  • Understand how co-design can work with participants who have dementia
  • Understand why people with dementia and their carers get involved in app development and usage
  • See how single-case experimental designs allow for testing of clinical efficacy in individual users

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