Applied Racial/Ethnic Healthcare Disparities Research Using Implicit Measures

Area of Science:

• Social Psychology
• Health Disparities Research
• Health Communication

Background:

• Healthcare disparities research frequently employs the Implicit Association Test (IAT) to measure implicit bias.
• Despite controversies, the IAT has been instrumental in linking provider implicit prejudice to communication behaviors and patient responses.
• Existing research has primarily focused on communication, with less evidence on implicit bias impacting treatment recommendations.

Purpose of the Study:

• To review the utility of the IAT in healthcare disparities research, particularly concerning provider bias.
• To highlight the gap in understanding the influence of implicit bias on treatment recommendations.
• To encourage further investigation into the mechanisms linking implicit bias to communication and treatment decisions.

Main Methods:

• Review of existing literature on the Implicit Association Test (IAT) in healthcare disparities.
• Analysis of studies examining the association between provider implicit bias and patient communication outcomes.
• Identification of research gaps concerning implicit bias and treatment recommendations.

Main Results:

• The IAT has demonstrated reliability in associating provider implicit prejudice with communication behaviors and patient reactions.
• The success in documenting these associations is attributed to specific research designs and outcomes in racial/ethnic disparities studies.
• Limited evidence currently supports a significant role for provider implicit bias in treatment recommendations.

Conclusions:

• The IAT is a valuable tool for studying provider bias in healthcare communication.
• Further research using multiple implicit measures is crucial to elucidate the role of implicit bias in treatment recommendations.
• Advancing understanding of implicit social cognition and identifying sources of healthcare disparities requires continued investigation.