Prevalence of eye strain among radiologists: influence of viewing variables on symptoms.
OBJECTIVE
To determine the prevalence of and factors contributing to eye strain among radiologists, we examined the influence of the viewing method (PACS vs hard-copy film), age, case volume, technique, work habits, and workstation design on symptoms.


METHODS
An Internet-based survey was sent to 2,700 radiologists randomly selected from the membership database of the Radiological Society of North America. Questions included demographic information, viewing method, work habits, and workstation design. Common eye strain symptoms were evaluated on a 5-point Likert scale. Chi-square analysis, analysis of variance, and step-wise and regression analyses were performed to evaluate codependence of the explanatory variables with eye strain.


RESULTS
The adjusted response rate was 14% (380 respondents). The largest age cohort was 36-50 years. The prevalence of eye strain was 36% and was not affected by the viewing method (PACS vs film). Increased symptoms could be independently predicted in radiologists who were women (p <0.001), had longer work days (p=0.009), took fewer breaks (p=0.03), reported screen flicker (p=0.0003), and performed CT screening (p=0.04). Working hours had the strongest influence on eye strain. Eye strain was increased in those who reported studies for longer than 6 hr per day (p=0.01) and decreased in those who took breaks every hour (p=0.04). Symptoms were independent of the length of the break taken and of other workstation and technique factors.


CONCLUSIONS
Eye strain was common among the radiologists in our study population, with no significant difference between PACS and hard-copy film users. Taking frequent short breaks, eliminating screen flicker, and limiting the number of CT screening studies interpreted may improve symptoms.
Vertinsky
Talia
T
Department of Radiology, Vancouver Hospital and Health Sciences Centre, 899 W 12th Ave., Vancouver, BC V5Z 1M9, Canada.
Forster
Bruce
B
D000328:Adult; D000368:Aged; D001248:Asthenopia / Q000453:epidemiology*; D016009:Chi-Square Distribution; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009656:North America; D009784:Occupational Diseases / Q000453:epidemiology*; D010820:Physicians; D015995:Prevalence; D011871:Radiology; D011873:Radiology Information Systems; D011795:Surveys and Questionnaires; D013997:Time Factors