Implementation of an unconscious bias course for the National Research Mentoring Network.

PURPOSE: Increased awareness and mitigation of one's unconscious bias is a critical strategy in diversifying the Science, Technology, Engineering, Mathematics, and Medicine (STEMM) disciplines and workforce. Greater management of unconscious bias can enhance diverse recruitment, persistence, retention, and engagement of trainees. The purpose of this study was to describe the implementation of an asynchronous course on unconscious bias for people in STEMM. Specifically, we explored who engaged with the course and reflections from participation. METHOD: A five-part, asynchronous Unconscious Bias Course was developed and was hosted on a national mentoring platform starting in July 2020. To examine course engagement, we assessed the demographics of course participants and completion. Participant responses to reflection questions after each module were also synthesized using qualitative methods. RESULTS: Overall, 977 people registered for the course and 42% completed all modules. In the reflection responses, participants reflected on their unconscious biases in their lived experiences and how it relates to actions, judgements, external factors, stereotypes, and un-intentionality. Participants also reflected on microaggressions, their impact on the recipients and others, and the relationship between microaggressions and unconscious bias. Participants reported four key strategies used by allies against unconscious bias: immediately acting (83%), reflection (46%), improving the organizational culture (30%), and individual-level ally-ship (44%). Strategies for self-awareness included: reflection, pausing/breathing, and self-observation. CONCLUSION: The assessment of the Unconscious Bias Course implementation revealed the course reached a wide cross-section of people in STEMM and demonstrated that participants were able to reflect on the underpinnings of the course. This course, and its suite of offerings, support a nationwide effort to mitigate bias and prepare individuals to be culturally competent in a diverse society in order to foster a STEMM environment that caters to individuals' success and diversification of these fields.

Utilizing the Four Tenets of Osteopathic Medicine as an intersectional framework for approaching sexual orientation and gender identity disclosure as a provider.

The Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and other (LGBTQI+) community continues to experience health inequity and unmet needs. This manuscript examines the application of the Four Tenets of Osteopathic Medicine (FTOM) during a patient's self-disclosure of their sexual orientation and/or gender identity to the provider, also known as coming out. Tenet One discusses the interplay between intersectionality and coming out. Tenet Two elucidates how coming out moves toward a balance of homeostasis and self-healing. Tenet Three examines how structure and function can be understood on a personal level and how society influences coming out. Tenet Four explains the resources available to facilitate the previously forementioned changes. By applying the Four Tenets, the provider may more readily understand what "coming out" means on personal and social levels and what implications they may have on their patients' health.

Baby Boy Jones Interactive Case-Based Learning Activity: A Web-Delivered Teaching Strategy.

Faced with limited resources, nurse educators are challenged with transforming nursing education while preparing enough qualified nurses to meet future demand; therefore, innovative approaches to teaching are needed. In this article, we describe the development of an innovative teaching activity. Baby Boy Jones is a Web-delivered, case-based learning activity focused on neonatal infection. It was created using e-learning authoring software and delivered through a learning management system.

Proximity attitudes toward objects and people: reference to a category and a self-representation?

The relative strength of similarity to self and category typicality as predictors of proximity attitudes (social distance) toward people of varying race and objects associated with people of varying race was investigated. Similarity to self and category typicality were significant predictors of proximity attitudes toward both objects and people, but similarity to self was the significantly stronger predictor. The predictive utility of similarity to self was greater for object judgments than person judgments, but category typicality was a better predictor of person judgments than object judgments. Although the results provide evidence of ingroup favoritism in proximity attitudes toward people, the ingroup bias did not extend to objects associated with people. Category typicality was positively related to attitudes, even for distanced groups. The role of predictability of the target in determining proximity attitudes is discussed.