24 research outputs found

    The Effect of Virtual Civic Engagement on Crime: SeeClickFix in New Haven

    Get PDF
    Mobile virtual communities are an emerging space for improving social cohesiveness and promoting collective efficacy. The application SeeClickFix is a smartphone and web application developed in New Haven, Connecticut, where users report issues in their communities including non-violent crimes. These posts can be supported and commented on by other users and local government agencies acknowledge and address issues. The data are publicly available, providing a data-rich and transparent venue for monitoring the interaction of individuals with each other and city representatives. The purpose of our study is to look for correlations between SeeClickFix use and crime. We hypothesize that SeeClickFix activity reduces crime by increasing social cohesion and promoting collective efficacy. Preliminary analyses show that within each neighborhood, months with more SeeClickFix posts tend to have fewer crimes. In addition, the crime rate is lower after the creation of SeeClickFix relative to before. These data suggest that SeeClickFix use is correlated with reduced crime in New Haven. Further efforts are needed to establish if there is a causal relationship and if so by what mechanism. This work has the potential to suggest a method by which communities can increase transparency and reduce crime through an open data platform

    Racial and Ethnic Diversity in Academic Emergency Medicine: How Far Have We Come? Next Steps for the Future

    Full text link
    Although the U.S. population continues to become more diverse, black, Hispanic, and Native American doctors remain underrepresented in emergency medicine (EM). The benefits of a diverse medical workforce have been well described, but the percentage of EM residents from underrepresented groups is small and has not significantly increased over the past 20 years. A group of experts in the field of diversity and inclusion convened a work group during the Council of Emergency Medicine Residency Program Directors (CORD) and Society for Academic Emergency Medicine (SAEM) national meetings. The objective of the discussion was to develop strategies to help EM residency programs examine and improve racial and ethnic diversity in their institutions. Specific recommendations included strategies to recruit racially and ethnically diverse residency candidates and strategies to mentor, develop, retain, and promote minority faculty.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147225/1/aet210204.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147225/2/aet210204_am.pd

    Racial and ethnic differences in internal medicine residency assessments

    Get PDF
    IMPORTANCE: Previous studies have demonstrated racial and ethnic inequities in medical student assessments, awards, and faculty promotions at academic medical centers. Few data exist about similar racial and ethnic disparities at the level of graduate medical education. OBJECTIVE: To examine the association between race and ethnicity and performance assessments among a national cohort of internal medicine residents. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study evaluated assessments of performance for 9026 internal medicine residents from the graduating classes of 2016 and 2017 at Accreditation Council of Graduate Medical Education (ACGME)-accredited internal medicine residency programs in the US. Analyses were conducted between July 1, 2020, and June 31, 2022. MAIN OUTCOMES AND MEASURES: The primary outcome was midyear and year-end total ACGME Milestone scores for underrepresented in medicine (URiM [Hispanic only; non-Hispanic American Indian, Alaska Native, or Native Hawaiian/Pacific Islander only; or non-Hispanic Black/African American]) and Asian residents compared with White residents as determined by their Clinical Competency Committees and residency program directors. Differences in scores between Asian and URiM residents compared with White residents were also compared for each of the 6 competency domains as supportive outcomes. RESULTS: The study cohort included 9026 residents from 305 internal medicine residency programs. Of these residents, 3994 (44.2%) were female, 3258 (36.1%) were Asian, 1216 (13.5%) were URiM, and 4552 (50.4%) were White. In the fully adjusted model, no difference was found in the initial midyear total Milestone scores between URiM and White residents, but there was a difference between Asian and White residents, which favored White residents (mean [SD] difference in scores for Asian residents: -1.27 [0.38]; P \u3c .001). In the second year of training, White residents received increasingly higher scores relative to URiM and Asian residents. These racial disparities peaked in postgraduate year (PGY) 2 (mean [SD] difference in scores for URiM residents, -2.54 [0.38]; P \u3c .001; mean [SD] difference in scores for Asian residents, -1.9 [0.27]; P \u3c .001). By the final year 3 assessment, the gap between White and Asian and URiM residents\u27 scores narrowed, and no racial or ethnic differences were found. Trends in racial and ethnic differences among the 6 competency domains mirrored total Milestone scores, with differences peaking in PGY2 and then decreasing in PGY3 such that parity in assessment was reached in all competency domains by the end of training. CONCLUSIONS AND RELEVANCE: In this cohort study, URiM and Asian internal medicine residents received lower ratings on performance assessments than their White peers during the first and second years of training, which may reflect racial bias in assessment. This disparity in assessment may limit opportunities for physicians from minoritized racial and ethnic groups and hinder physician workforce diversity

    The Healthcare Education Racial Microaggressions Scale: a brief measure of the frequency of racial microaggressions experienced by health profession trainees of color

    No full text
    Microaggressions are an insidious form of racism where members of the white dominant group convey covert hostility towards people of color. Evidence suggests that microaggressions do occur in healthcare education settings, but it relies on ad hoc scales that may limit their generalizability thereby complicating an effort to study and intervene systematically. Data from two national samples of healthcare trainees are leveraged to investigate the factor structure of the HERMS. Exploratory and confirmatory factor analysis supported a nine-item correlated factors structure with two latent factors representing microinvalidations and microinsults. The screener developed in the current study identifies key microaggressions experienced by healthcare trainees of color

    Differences in words used to describe racial and gender groups in Medical Student Performance Evaluations.

    No full text
    The transition from medical school to residency is a critical step in the careers of physicians. Because of the standardized application process-wherein schools submit summative Medical Student Performance Evaluations (MSPE's)-it also represents a unique opportunity to assess the possible prevalence of racial and gender disparities, as shown elsewhere in medicine.The authors conducted textual analysis of MSPE's from 6,000 US students applying to 16 residency programs at a single institution in 2014-15. They used custom software to extract demographic data and keyword frequency from each MSPE. The main outcome measure was the proportion of applicants described using 24 pre-determined words from four thematic categories ("standout traits", "ability", "grindstone habits", and "compassion").The data showed significant differences based on race and gender. White applicants were more likely to be described using "standout" or "ability" keywords (including "exceptional", "best", and "outstanding") while Black applicants were more likely to be described as "competent". These differences remained significant after controlling for United States Medical Licensing Examination Step 1 scores. Female applicants were more frequently described as "caring", "compassionate", and "empathic" or "empathetic". Women were also more frequently described as "bright" and "organized".While the MSPE is intended to reflect an objective, summative assessment of students' qualifications, these data demonstrate for the first time systematic differences in how candidates are described based on racial/ethnic and gender group membership. Recognizing possible implicit biases and their potential impact is important for faculty who strive to create a more egalitarian medical community
    corecore