Submission ID 78307
| Code | P16 |
|---|---|
| At the end of this workshop, participants will be able to: | |
| Category | Medical Education |
| Type | Poster |
| Will the presenter be a: | Student |
| Title | Reducing Exclusive Language and Imagery in Undergraduate Medical Education Lectures: A Pre/post-Intervention Policy Analysis |
| Background/Purpose | Interventions to increase inclusion in medical institutions are urgently needed given evidence-based and anecdotal harmful impact of underrepresentation on patient outcomes, learners and faculty. Inclusive language is word-choice "free of bias and avoid(s) perpetuating prejudicial beliefs or demeaning attitudes". Exclusionary imagery includes pictures or clinical examples that inaccurately represent diversity in identities, abilities, and lived experiences. Solutions to reduce discrimination in medicine have included implicit bias training and educational interventions, the resulting impact of which have been conflicting and noncomprehensive. To address exclusionary language and imagery in the Cumming School of Medicine (CSM), we developed an Inclusive Language and Imagery Policy (ILIP) as a guide for CSM lecturers. We aim to evaluate the effectiveness of ILIP in reducing exclusionary language and images used by undergraduate medical education (UME) lecturers. |
| Methods | Pre/post-intervention study of non-random intervention and control groups to measure influence of an ILIP on prevalence and characteristics of exclusionary language and images used in (UME) lectures in two courses by two methods. 1) Prevalence of systematically collected "red flag" comments in end-of-course feedback by medical students. 2) ILIP violations measured by trained team members independently reviewing recorded lectures. |
| Results | Preliminary control data showed 18% (12) of lectures with exclusionary language or images, with 24 violations. Of these, language exclusions regarded patients with specific illnesses and image exclusions consisted mostly of race. |
| Discussion | Preliminary data collected prior to ILIP intervention confirms persistence of discriminatory language and imagery within UME. The study will compare changes over time after the implementation of our policy. |
| Keyword 1 | Diversity |
| Keyword 2 | Inclusion |
| Keyword 3 | Medical Education |
| Abstract content most relevant to: (check all that apply) | Undergraduate Medical Education |
| Abstract Track - First Choice | Equity, Diversity and Inclusion |
| Authors | Caroline Peplinski Shaleeza Kaderali Huneza Nadeem Chunpeng Nie Shannon Ruzycki Caroline Peplinski |
