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Accuracy and Feasibility of an Android-Based Digital Assessment Tool for Post Stroke Visual Disorders-The
Terence J Quinn1, Iain Livingstone2, Alexander Weir3
1Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
Frontiers in Neurology
|April 13, 2018
Summary
The StrokeVision app effectively screens for post-stroke visual impairments, demonstrating accuracy comparable to traditional methods. This digital tool shows promise for acute stroke care, aiding in the detection of visual field defects.
Area of Science:
- Ophthalmology
- Neurology
- Digital Health
Background:
- Visual impairment is a common complication for stroke survivors, affecting up to 70% of individuals.
- Post-stroke visual issues include deficits in acuity, visual fields, and visual inattention.
- Early screening is crucial for timely intervention and management of visual complications.
Purpose of the Study:
- To evaluate the test time, feasibility, and acceptability of the StrokeVision app for visual screening in acute stroke patients.
- To compare the accuracy of the app-based digital visual assessments against current bedside screening methods and gold standard measures.
- To determine the potential of StrokeVision as a valuable tool in the acute phase of stroke care.
Main Methods:
- Prospective recruitment of patients from acute stroke settings.
- App-based assessments of visual fields and inattention performed by a trained researcher.
- Comparison of app results against conventional bedside screening (visual fields to confrontation, inattention assessment) and gold standard tests (kinetic perimetry, paper-based inattention tests).
Main Results:
- The StrokeVision app demonstrated high acceptability scores from both assessors and patients, comparable to traditional methods.
- While app-based testing had a longer median test time (420s) than conventional screening (70s), it was significantly shorter than gold standard testing (1260s).
- The app achieved 79% sensitivity and 88% specificity for detecting stroke-related visual field defects, comparable to conventional screening (79% sensitivity, 82% specificity).
Conclusions:
- The StrokeVision app shows promise as a reliable screening tool for visual complications during the acute phase of stroke.
- The digital assessment is as effective as usual screening practices and offers additional functionalities beneficial for acute stroke management.
- The app's accuracy and acceptability suggest its potential utility in enhancing visual assessment protocols for stroke survivors.
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