Six Common Types of Gender-Based Biases in Medicine
Published by AAMC, Academic Medicine: October 29, 2019
We conducted a multi-site research study to identify common themes of microaggressions and slurs experienced by women in medicine. We identified six common themes:
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Our current research studies and projects are as below:
a. MICROAGGRESSIONS STUDY: Identifying and categorizing common microaggressive behaviors that occur in clinical (behaviors demonstrated by clinicians, patients and their families) as well as nonclinical settings in healthcare. We have completed a four-University study identifying six common themes of microaggressions reported by women faculty.
b. MICRO-COMMUNICATION STUDY: Identifying and categorizing common patterns of microcommunication in clinical encounters and how these impact patient’ adherence to treatment. Specifically, we are studying how clinicians communicate information about genetic cancer risk to patients with breast cancer, what they understand, what information they communicate to their families, and how their health behaviors are impacted. We are examining the impact of baseline moderators (age, gender, ethnicity, language, socioeconomic status) on patients understanding of their genetic risk and their next steps through computation of a “teach-back score”. This is a NIMHD/NIH funded mixed-methods study.
c. JUSTICE, EQUITY, DIVERSITY, AND INCLUSIVITY (JEDI) MINI-FELLOWSHIP: We are currently analyzing a dataset to understand the impact of our JEDI fellowship on faculty interpersonal interactions.
d. CULTURAL AND GENDER VARIATIONS AND THEIR IMPACT ON END-OF-LIFE CONVERSATIONS: In an NIA funded randomized clinical trial, we are studying how gender and ethnicity impacts end of life conversations and decision-making processes of diverse patients and the impact on their families.
F.STANFORD AGING CENTER (SAGE): The SAGE center was founded by Dr. Periyakoil with funding from the National Institute of Aging (NIA) and Stanford School of Medicine. SAGE aims to solve many of the current problems in aging research using the latest technological tools including artificial intelligence/machine learning, precision medicine, digital interventions, virtual reality and other latest techniques in science. The primary goal of our center is to foster quality of life for aging Americans through the use of technology and artificial intelligence.