With a new definition of high-quality primary care and the shift in nonphysician faculty's role as core faculty members in family medicine residency programs, new attention is needed on the delineation of clinical efforts and clinical efforts disparities across disciplines (eg, psychology, marriage and family therapy, pharmacy) within departments of family medicine. Additionally, those who identify as underrepresented in medicine (URiM), specifically those who are nonphysician faculty, are dually impacted by the clinical efforts double disparity. This paper examines the current landscape of clinical efforts in academic family medicine for physician faculty and nonphysician faculty as well as discusses how to build equity in clinical efforts for nonphysician faculty and URiM faculty within academic family medicine impacted by the double disparity.
View Article and Find Full Text PDFBackground And Objectives: The family medicine residency application process is arduous and competitive. An important part of the application is the in-person interview process, which was affected during the last two interview cycles (2021-2022) due to restrictions imposed by the COVID-19 pandemic. Virtual interviews eliminate traveling costs associated with applications, potentially improving underrepresented minorities' access to interviewing opportunities.
View Article and Find Full Text PDFBased upon multiple time series studies, an agent-based model (ABM) of women's decision-making related to partner violence was developed. However, help-seeking, legal action and leaving could be modeled as catastrophic phenomena, but catastrophic effects were not included in this prior ABM. The purpose of this study was to incorporate cusp catastrophe equations into the prior ABM to determine the impact upon her action-taking.
View Article and Find Full Text PDFWe are beginning to understand that intimate partner violence (IPV) and women's decision-making about that violence are nonlinear phenomena. IPV and decision-making are influenced by variables feedforwarding upon themselves with multiple interconnected predictors and circularly causal relationships. Computer models can help us gain a systems perspective on these relationships and enable hypothesis-testing without engendering risk to women in these relationships.
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