Prevalence of abnormalities influences cytologists' error rates in screening for cervical cancer

Arch Pathol Lab Med. 2011 Dec;135(12):1557-60. doi: 10.5858/arpa.2010-0739-OA.

Abstract

Context: Medical screening tasks are often difficult, visual searches with low target prevalence (low rates of disease). Under laboratory conditions, when targets are rare, nonexpert searchers show decreases in false-positive results and increases in false-negative results compared with results when targets are common. This prevalence effect is not due to vigilance failures or target unfamiliarity.

Objective: To determine whether prevalence effects could be a source of elevated false-negative errors in medical experts.

Design: We studied 2 groups of cytologists involved in cervical cancer screening (Boston, Massachusetts, and South Wales, UK). Cytologists evaluated photomicrographs of cells at low (2% or 5%) or higher (50%) rates of abnormality prevalence. Two versions of the experiment were performed. The Boston, Massachusetts, group made decisions of normal or abnormal findings using a 4-point rating scale. Additionally, the group from South Wales localized apparent abnormalities.

Results: In both groups, there is evidence for prevalence effects. False-negative errors were 17% (higher prevalence), rising to 30% (low prevalence) in the Boston, Massachusetts, group. The error rate was 27% (higher prevalence), rising to 42% (low prevalence) in the South Wales group. (Comparisons between the 2 groups are not meaningful because the stimulus sets were different.)

Conclusions: These results provide the first evidence, to our knowledge, that experts are not immune to the effects of prevalence even with stimuli from their domain of expertise. Prevalence is a factor to consider in screening for disease by human observers and has significant implications for cytology-based cervical cancer screening in the post-human papillomavirus vaccine era, when prevalence rates of high-grade lesions in the population are expected to decline.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Boston / epidemiology
  • False Negative Reactions
  • Female
  • Humans
  • Mass Screening* / statistics & numerical data
  • Prevalence
  • Uterine Cervical Neoplasms / diagnosis*
  • Uterine Cervical Neoplasms / epidemiology
  • Vaginal Smears* / statistics & numerical data
  • Wales / epidemiology