Priority Programme Award in Psychological Consequences of Stroke

Published: Wednesday 2 September 2015

Celebrating our success with the Chief Scientist Office Scotland

Announced last night at our joint event with the Chief Scientist Office (CSO) at Scottish Parliament, we are delighted to award the first of our new Priority Programme Awards to Dr Terry Quinn (University of Glasgow), who will lead on research into the psychological consequences of stroke.

Award title:

Joint Stroke Association and Chief Scientist Office Priority Programme Award

Principal Investigator

Dr Terry Quinn

Description of research:

Improving our assessment, prediction and understanding of the short, medium and longer term neuropsychological consequences of stroke.

National stroke guidance recommends early cognitive and mood screening. This policy lacks evidence and indiscriminate screening has the potential for harm.

Building on our previous research, we will create a multidisciplinary programme designed to inform practice and policy. We will major on themes of 'natural history' of neuropsychological problems, screening test accuracy, likely future outcomes for patients, and user experience.

We will recruit patients in the first days after stroke using detailed testing, including cognitive/mood assessment and of associated confounding symptoms (delirium, and cognitive/mood problems that were present before stroke). Inclusive recruitment will allow the collection of 'real world' data on neuropsychological cases.

We will describe feasibility, acceptability and accuracy of various brief screening tools and we will complement this by gathering data on service users' experience of the neuropsychological assessment.

We will follow up patients using comprehensive cognitive and mood assessments at one, six, twelve and eighteen months after stroke. Outcomes of interest will be changes in assessment scores and cognitive/mood disorders. We will describe both the trajectory and the independent predictors of improvement and decline of patient symptoms.

We will use this data to create prediction models that will improve assessment of likely neuropsychological outcomes and may allow targeted intervention. Ultimately this programme will facilitate guidance on the optimal approach to early cognitive/mood assessment.

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