Visual Learning Equity Initiative Enhances Preclinical Dermatologic Image Representation: A Cross-Sectional Study.

Despite growing diversity in the United States population, studies show that medical education lacks representation of conditions in darker skin tones. Given that medical conditions present differently in different skin tones, limited exposure to images of darker tones in medical training may contribute to incorrect or delayed diagnoses, perpetuating health inequities. This study examines the preclinical curriculum at the Georgetown University School of Medicine (GUSOM) to report on its image representation with respect to skin tone and to assess the impact of a student-driven initiative in achieving visual learning equity (VLE). Of 1050 preclinical images, 58.2% depicted conditions in light/white skin tones, 31.3% in medium/brown, and 10.5% in dark/black. The microbiology and pathology courses had the highest percentages of dark/black and medium/brown images. Infectious disease images made up 36.3% of all images with 54.6% light/white, 31.5% medium/brown, and 13.9% dark/black. Overall, the first images representing conditions were 63.5% light/white, 30.0% medium/brown, and 6.6% dark/black. When dark/black images were presented first, 64.3% were of infectious diseases, compared to 35.1% for medium/brown and only 28.4% for white/light first images that were infectious diseases. A significant increase in images of conditions in darker skin tones was observed in the IRD course 2022 compared to the IRD course 2020 (P<.001). Our study highlights an underrepresentation of darker skin tones compared to lighter skin tones in the GUSOM preclinical curriculum. A student-led initiative significantly increased the representation of darker skin tones in dermatologic images, demonstrating the potential impact of such efforts in achieving VLE in medical education.J Drugs Dermatol. 2024;23(7):519-524.  doi:10.36849/JDD.7992.

A systematic review of the causes and prevention strategies in reducing gun violence in the United States.

BACKGROUND: Approximately 100 lives are lost each day as a result of gun violence in the United States (US) with civilian mass shootings increasing annually. The gun violence rate in the US is almost 20 times higher than other comparable developed countries and has the most gun ownership per capita of any nation in the world. Understanding the causes and risk factors are paramount in understanding gun violence and reducing its incidence. METHODS: A literature search of all published articles relating to gun violence and mass shootings in the US was conducted using the Medline and PMC databases. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were used in conducting this study. Rayyan statistical software was utilized for analysis. Statistical significant was defined as p < .05. RESULTS: Of the initial 2304 eligible manuscripts identified, 22 fulfilled our selection criteria. A variety of common causal and contributory factors were identified including but not limited to mental illness, suicidal ideation, intimate partner violence, socioeconomic status, community distress, family life, childhood trauma, current or previous substance abuse, and firearm access. CONCLUSION: Gun violence is pervasive and multi-factorial. Interventions aimed at reducing gun violence should be targeted towards the most common risk factors cited in the literature such as access, violent behavioral tendencies due to past exposure or substance abuse, and mental illness including suicidal ideation.

Subarachnoid versus Nonsubarachnoid Traumatic Brain Injuries: The Impact of Decision-Making on Patient Safety.

INTRODUCTION: Traumatic intracranial hemorrhages (ICHs) are high priority injuries. Traumatic brain bleeds can be categorized as traumatic subarachnoid hemorrhage (SAH) versus non-SAH-ICH. Non-SAH-ICH includes subdural, epidural, and intraventricular hematomas and brain contusions. We hypothesize that awake patients with SAH will have lower mortality and needless interventions than awake patients with non-SAH-ICHs. STUDY DESIGN AND METHODS: A review of data collected from our Level I trauma center was conducted. Awake was defined as an initial Glasgow coma score (GCS) 13-15. Patients were divided into two cohorts: awake SAH and awake non-SAH-ICH. Chi-square and t-test analyses were used with statistical significance defined as P < 0.05. RESULTS: A total of 12,482 trauma patients were admitted during the study period, of which 225 had a SAH and GCS of 13-15 while 826 had a non-SAH-ICH with a GCS of 13-15. There was no significant difference in demographics between the two groups. Predicted survival between the two groups was similar (97.3 vs. 95.7%, P > 0.05). Mortality rates were, however, significantly lower in SAH patients compared to the non-SAH-ICH (4/225 [1.78%] vs. 22/826 [2.66%], P < 0.05). The need for neurosurgical intervention was significantly different comparing the SAH group versus non-SAH-ICH (2/225 [0.89%] vs. 100/826 [12.1%], P < 0.05). CONCLUSION: Despite similar predicted mortality rates, awake patients with a SAH are associated with a significantly lower risk of death and need for neurosurgical intervention when compared to other types of awake patients with a traumatic brain bleed.