About
Dr. Fiona Coupar serves as a Lecturer in the Department of Occupational Therapy at Glasgow Caledonian University, Glasgow, United Kingdom. Her research focuses on evidence-based stroke rehabilitation with specialization in upper limb recovery mechanisms and therapeutic interventions.
Her research portfolio centers on systematic analysis of stroke rehabilitation methodologies. Key contributions include meta-analyses identifying predictors of motor recovery, evaluations of bilateral training efficacy, and development of home-based therapy protocols. Her work leverages systematic review methodologies to transform clinical practice, recently innovating with data mining techniques to enhance evidence synthesis efficiency. These efforts directly contribute to UN Sustainable Development Goal 3 (Good Health and Well-being) through improved rehabilitation outcomes.
Dr. Coupar's publication record demonstrates consistent impact since 2007, with 13 research outputs including highly influential Cochrane reviews and Clinical Rehabilitation meta-analyses. Her 2012 study on upper limb recovery predictors remains a cornerstone reference with over 300 citations and clinical guideline adoption. The 2023 data mining paper represents ongoing methodological innovation in evidence-based practice.
She maintains active supervision of research students and extensive collaborations with leading rehabilitation researchers including Alex Pollock and Frida van Wijck. Her work shows strong international dissemination through social media (5 X posts, Facebook pages) and academic platforms (587 Mendeley readers), indicating significant community engagement.
Although no dedicated laboratory is mentioned, Dr. Coupar operates within Glasgow Caledonian University's rehabilitation research ecosystem, contributing to evidence synthesis that shapes clinical guidelines and therapeutic practices worldwide. Her focus on efficient review methodologies positions her at the forefront of evidence-based rehabilitation science.
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