Gender Bias in Judging Frailty and Fitness for Lung Surgery.

Abstract

Disparities in surgical care for lung cancer have been well documented, and unconscious bias may be a source of inequity. We assessed whether gender biases exist when nonclinical decision makers render decisions about major lung surgery. Amazon Mechanical Turk workers, remotely located "crowdworkers" readily available for hire to perform discrete on-demand tasks on the Amazon Mechanical Turk platform, were each shown 4 videos of different standardized patients (SPs) in a clinic setting, 1 video in each energy level (vigorous or frail) and race category (White or Black), randomized to male or female. Workers scored video characteristics and whether they would support the SP's decision to undergo a major lung operation. A total of 855 workers were recruited. The frail White male SP was more likely to have support to undergo lung surgery than the frail White female SP, while the frail Black male SP was much less likely to have support to undergo lung surgery than the frail Black female SP. There were no significant differences in support for surgery between the vigorous male and female SPs and ratings by male and female workers in their recommendations. Biases related to patient gender exist in the general population and affect views on surgery, particularly in the setting of frailty. Understanding such differences may aid in educational efforts directed at reducing gender-based biases in treatment recommendations.