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Bias in a blink: Shedding light on implicit attitudes toward patients with a cleft lip
Rany M Bous1, Anthony Lyamichev2, Ashleigh Kmentt2
1Craniofacial and Special Care Orthodontics, Department of Orthodontics, School of Dental Medicine, Case Western Reserve University, Cleveland, Ohio.
Introduction:
Previous studies have shown that patients with cleft lip and/or palate may be stigmatized in society. The objective of this study was to use an implicit association test to evaluate the subconscious biases of non-health care providers and orthodontists against patients with a repaired cleft lip (CL).
Methods:
Respondents participated in an implicit association test. Pictures of patients with CL and controls were shown to participants, along with terms representing positive and negative attributes. Participants were prompted to match pictures to the attributes. The software algorithm detected whether the participants were more likely to associate CL with positive or negative terms than controls. Demographic information was collected to measure the association between some sociodemographic factors and implicit biases.
Results:
Of 130 valid participants, 52 were orthodontists and 78 were non-health care providers. The entire sample displayed a significant implicit bias against CL (P <0.001). Overall, orthodontists tended to exhibit slightly higher levels of implicit biases against CL than non-health care providers, but the difference was not significant when controlling for sociodemographic factors (P = 0.34). Females showed significantly lower implicit biases against CL than males (P = 0.046). Spearman correlations showed that older people and those who reported a more conservative political affiliation tended to show slightly higher levels of implicit biases against CL (P <0.007).
Conclusions:
Orthodontists and non-health care providers showed moderate but significant levels of implicit biases against patients with clefts. Males, older age groups, and patients with a more conservative political affiliation tended to exhibit slightly higher levels of biases than females, younger people, and those with a more liberal political affiliation.
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