OxMET: Oxford Multiple Errands Task
The Oxford Multiple Errands Test (OxMET) is an app-based cognitive screening tool designed to assess executive functioning in a realistic, accessible, and time-efficient way. Developed with the Translational Neuropsychology Group at the University of Oxford in collaboration with stroke survivors, OxMET provides an ecologically valid assessment of how individuals apply executive skills—such as planning, organising, switching, and maintaining goals—within a simulated everyday shopping scenario.
Set on a virtual British high street, participants are asked to buy six items and answer two questions under time and rule constraints. The test captures a range of performance metrics including task accuracy, rule adherence, and completion patterns. Its multimodal design—combining verbal and pictorial instructions—ensures accessibility for individuals with dysphasia or other post-stroke impairments.
OxMET was developed in response to the limitations of traditional neuropsychological assessments, which often lack real-world applicability or are too burdensome for use in clinical settings. The tool has undergone psychometric validation for reliability and convergent validity, and current research is assessing its predictive validity for real-life functional outcomes after stroke.
By bridging the gap between standardised testing and everyday cognitive challenges, OxMET supports clinicians and researchers in identifying meaningful impairments in executive function that impact daily life.
www.youtube.com/watch?v=gyZ9u0OKKMc
www.demeyerelab.org/research/cognitive-screening/oxmet/
RSE: Mihaela Duta
Collaborators: Department of Experimental Psychology, Nuffield Department of Clinical Neuroscience
Publications
Webb, S. S., Jespersen, A., Chiu, E. G., Payne, F., Basting, R., Duta, M. D., & Demeyere, N. (2022). The Oxford digital multiple errands test (OxMET): Validation of a simplified computer tablet based multiple errands test. Neuropsychological Rehabilitation, 32(6), 1007–1032. https://doi.org/10.1080/09602011.2020.1862679