Department of Ophthalmology, Visual Attention Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA.
Arch Pathol Lab Med. 2011 Dec;135(12):1557-60. doi: 10.5858/arpa.2010-0739-OA.
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.
To determine whether prevalence effects could be a source of elevated false-negative errors in medical experts.
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.
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.)
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.
医学筛查任务通常具有挑战性,尤其是在目标患病率较低(即疾病发病率较低)的情况下。在实验室条件下,当目标较为罕见时,非专业搜索者的假阳性结果会减少,假阴性结果会增加,而当目标较为常见时则会出现相反的结果。这种患病率效应并非源于警觉失败或目标不熟悉。
确定患病率效应是否会成为医学专家中假阴性错误增加的一个原因。
我们研究了两组参与宫颈癌筛查的细胞学专家(马萨诸塞州波士顿和英国南威尔士)。细胞学专家评估了细胞的显微镜照片,这些照片的异常患病率分别为低(2%或 5%)和高(50%)。实验进行了两个版本。马萨诸塞州波士顿组使用 4 分制评分标准对正常或异常发现做出决策。此外,南威尔士组还定位了明显的异常。
两组都有患病率效应的证据。马萨诸塞州波士顿组的假阴性错误率为 17%(高患病率),上升到 30%(低患病率)。南威尔士组的错误率为 27%(高患病率),上升到 42%(低患病率)。(两组之间的比较没有意义,因为刺激物集不同。)
这些结果首次提供了证据,表明即使使用来自专业领域的刺激物,专家也不能免受患病率效应的影响。患病率是人类观察者进行疾病筛查时需要考虑的一个因素,这对人乳头瘤病毒疫苗接种后基于细胞学的宫颈癌筛查具有重要意义,因为预计此时人群中高级别病变的患病率会下降。