Related Experiment Videos
Effect of a patient training video on visual field test reliability
H Sherafat1, P G D Spry, A Waldock
1Bristol Eye Hospital, Lower Maudlin Street, UK. hsherafat@doctors.net.uk
The British Journal of Ophthalmology
|January 25, 2003
Summary
A visual field test educational video improved patient reliability for first-time glaucoma suspects undergoing automated visual field testing. The video significantly enhanced the reliability of results from the second tested eye.
Area of Science:
- Ophthalmology
- Clinical Trials
Background:
- Automated visual field testing is crucial for diagnosing and monitoring glaucoma.
- Patient understanding and cooperation are vital for reliable visual field test results.
- First-time patients may lack familiarity with the visual field test procedure, potentially impacting reliability.
Purpose of the Study:
- To assess the impact of an educational video on the reliability of the initial automated visual field test in new patients.
- To determine if familiarizing patients with the visual field test procedure improves data accuracy.
Main Methods:
- A prospective, randomized controlled trial was conducted with patients referred for suspected glaucoma.
- Patients were randomized to receive a 4.5-minute educational video or standard care (control group).
- Visual field test reliability was assessed using established criteria for fixation loss, false positives, and false negatives.
Main Results:
- A total of 244 patients were recruited (112 video group, 132 control group).
- Overall reliability significantly improved in the video group (75.9%) compared to the control group (61.4%) (p=0.015).
- The improvement was particularly significant for the second tested eye (86.6% reliable in video group vs. 73.5% in control group, p=0.011).
Conclusions:
- A brief audiovisual educational video enhances patient reliability in first-time visual field tests.
- The video's primary benefit was reducing unreliable results from the second tested eye.
- This intervention offers a simple method to improve data quality in glaucoma diagnostics.