Many healthcare disparities studies use the Implicit Association Test (IAT) to assess bias. Despite ongoing controversy around the IAT, its use has enabled researchers to reliably document an association between provider implicit prejudice and provider-to-patient communication (provider communication behaviors and patient reactions to them). Success in documenting such associations is likely due to the outcomes studied, study settings, and data structure unique to racial/ethnic healthcare disparities research. In contrast, there has been little evidence supporting the role of providers' implicit bias in treatment recommendations. Researchers are encouraged to use multiple implicit measures to further investigate how, why, and under what circumstances providers' implicit bias predicts provider-to-patient communication and treatment recommendations. Such efforts will contribute to the advancement of both basic social psychology/social cognition research and applied health disparities research: a better understanding of implicit social cognition and a more comprehensive identification of the sources of widespread racial/ethnic healthcare disparities, respectively.

中文翻译：

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使用隐性措施进行种族/民族医疗保健差异研究。


许多医疗保健差异研究使用内隐关联测试 (IAT) 来评估偏见。尽管围绕 IAT 的争议不断，但它的使用使研究人员能够可靠地记录提供者隐性偏见与提供者与患者之间的沟通（提供者沟通行为和患者对其的反应）之间的关联。成功记录此类关联可能是由于种族/民族医疗保健差异研究特有的研究结果、研究设置和数据结构。相比之下，几乎没有证据支持提供者在治疗建议中隐含偏见的作用。鼓励研究人员使用多种隐性测量来进一步研究提供者的隐性偏见如何、为何以及在什么情况下预测提供者与患者之间的沟通和治疗建议。这些努力将有助于基础社会心理学/社会认知研究和应用健康差异研究的进步：分别更好地理解隐性社会认知和更全面地识别广泛的种族/民族医疗保健差异的根源。