The aim was to report the initial development and evaluation of a suitable screening tool for detecting visual problems after stroke. The tool has four components. The first three include questions asked by examiners about patients’ ocular history and symptoms, observations of ocular appearance and tests of eye movement responses. The fourth component identifies actions, including referral that follow from the first three questions. The authors tested the tool against data collected from 100 examinations of stroke survivors in which there were 498 ocular conditions and visual defects. The tool identified 309 (69%) with a correlation of 0.84. Non-orthoptic professionals identified 85 (17%) with a correlation on 0.34. The authors propose the use of this tool to detect visual conditions in patients with stroke with the potential to support health care practitioners in the better identification of visual function.

Towards gaining the best information about vision to assist the recovery of a patient with stroke.
Jolly N, Macfarlane A, Heard R.
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Fiona Rowe (Prof)

Institute of Population Health, University of Liverpool, UK.

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