US Postgraduate Trainee Racial, Ethnic, and Gender Representation and Faculty Compensation By Specialty.
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ABSTRACT:
SUBMITTER: Mensah MO
PROVIDER: S-EPMC10401393 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
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US Postgraduate Trainee Racial, Ethnic, and Gender Representation and Faculty Compensation By Specialty.
Mensah Michael O MO Owda Dalia D Ghanney Simons Efe C EC Holaday Louisa W LW Bonner Sidra N SN Mangurian Christina C Ross Joseph S JS
JAMA 20230901 9
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Project description:ImportanceBolstering the ranks of women and underrepresented groups in medicine (URM) among medical faculty can help address ongoing health care disparities and therefore constitutes a critical public health need. There are increasing proportions of URM faculty, but comparisons of these changes with shifts in regional populations are lacking.ObjectiveTo quantify the representation of women and URM and assess changes and variability in representation by individual US medical schools.Design, setting, and participantsThis retrospective cross-sectional study assessed US medical school faculty rosters for women and URM, including American Indian and Alaska Native, Black, Hispanic, and Native Hawaiian or other Pacific Islander faculty. US allopathic medical schools participating in the Association of American Medical Colleges (AAMC) Faculty Administrative Management Online User System from 1990 to 2019 (updated December 31 for each year), were included. Faculty data were analyzed from yearly cross-sections updated as of December 31 for each year from 1990 to 2019. For census data, decennial census data were used for years 1990, 2000, and 2010. Intercensal estimates were used for all other years from 1990 to 2019.Main outcomes and measuresTrends and variability in representation quotient (RQ), defined as representation of a group within an institution's faculty compared to its respective US county.ResultsThere were 121 AAMC member institutions (72 076 faculty) in 1990, which increased to 144 institutions (184 577 faculty) in 2019. The median RQ of women faculty increased from 0.42 (IQR, 0.37-0.46) to 0.80 (IQR, 0.74-0.89) (slope, +1.4% per year; P < .001). The median RQ of Black faculty increased from 0.10 (IQR, 0.06-0.22) to 0.22 (IQR, 0.14-0.41) (slope, +0.5% per year; P < .001), but remained low. In contrast, the median RQ of Hispanic faculty decreased from 0.44 (IQR, 0.19-1.22) to 0.34 (IQR, 0.23-0.62) (slope, -1.7% per year; P < .001) between 1990 and 2019. Absolute total change in RQ of URM showed an increase; however, the 30-year slope did not differ from zero (+0.1% per year; P = .052). Although RQ of women faculty increased for most institutions (127 [88.2%]), large variability in URM faculty trends were observed (57 institutions [39.6%] with increased RQ and 10 institutions [6.9%] with decreased RQ). Nearly one-quarter of institutions shifted from the top to bottom 50th percentile institutional ranking by URM RQ with county vs national comparisons.Conclusions and relevanceThe findings of this cross-sectional study suggest that representation of women in academic medicine improved with time, while URM overall experienced only modest increases with wide variability across institutions. Among URM, the Hispanic population has lost representational ground. County-based population comparisons provide new insights into institutional variation in representation among medical school faculty.
| S-EPMC9857368 | biostudies-literature
Project description:BackgroundWorkers of color experience a disproportionate share of work-related injuries and illnesses (WRII), however, most workers' compensation systems do not collect race and ethnicity information, making it difficult to monitor trends over time, or to investigate specific policies and procedures that maintain or could eliminate the unequal burden of WRII for workers of color. The purpose of this study is to apply a Bayesian method to Washington workers' compensation claims data to identify racial and ethnic disparities of WRII by industry and occupation, improving upon existing surveillance limitations. Measuring differences in risk for WRII will better inform prevention efforts and target prevention to those at increased risk.MethodsTo estimate WRII by race/ethnicity, we applied the Bayesian Improved Surname Geocode (BISG) method to surname and residential address data among all Washington workers' compensation claims filed for injuries in 2013-2017. We then compare worker and injury characteristics by imputed race/ethnicity, and estimate rates of WRII by imputed race/ethnicity within industry and occupation.ResultsBlack/African Americans had the highest rates of WRII claims across all industry and occupational sectors. Hispanic/Latino WRII claimants also had higher rates than Whites and Asian/Pacific Islanders in almost all industry and occupational sectors. For accepted claims with both medical and non-medical compensation, Bodily reaction/overexertion injuries accounted for almost half of the claims during this reporting period.DiscussionThe high rates of injury we report by racial/ethnic categories is a cause for major concern. Nearly all industry and occupation-specific rates of workers' compensation claims are higher for Black/African American and Hispanic/Latino workers compared to Whites. More work is needed to identify work-related, systemic, and individual characteristics.
| S-EPMC9844878 | biostudies-literature
Project description:ImportanceWith increasing efforts to create a diverse physician workforce that is reflective of the demographic characteristics of the US population, it remains unclear whether progress has been made since 2009, when the Liaison Committee on Medical Education set forth new diversity accreditation guidelines.ObjectiveTo examine demographic trends of medical school applicants and matriculants relative to the overall age-adjusted US population.Design, setting, and participantsRepeated cross-sectional study of Association of American Medical Colleges data on self-reported race/ethnicity and sex of medical school applicants and matriculants compared with population distribution of the medical school-aged population (20-34 years). Data from US allopathic medical school applicants and matriculants from 2002 to 2017 were analyzed.Main outcomes and measuresTrends were measured using the representation quotient, the ratio of the proportion of a racial/ethnic group in the medical student body to the general age-matched US population. Linear regression estimates were used to evaluate the trend over time for Asian, black, white, Hispanic, American Indian or Alaska Native (AIAN), and Native Hawaiian or Other Pacific Islander medical school matriculants by sex.ResultsThe number of medical school applicants increased 53%, from 33 625 to 51 658, and the number of matriculants increased 29.3%, from 16 488 to 21 326, between 2002 and 2017. During that time, proportions of black, Hispanic, Asian, and Native Hawaiian or Other Pacific Islander male and female individuals aged 20 to 34 years in the United States increased, while proportions of white male and female individuals decreased and proportions of AIAN male and female individuals were stable. From 2002 to 2017, black, Hispanic, and AIAN applicants and matriculants of both sexes were underrepresented, with a significant trend toward decreased representation for black female applicants from 2002 to 2012 (representation quotient slope, -0.011; 95% CI, -0.015 to -0.007; P < .001).Conclusions and relevanceBlack, Hispanic, and AIAN students remain underrepresented among medical school matriculants compared with the US population. This underrepresentation has not changed significantly since the institution of the Liaison Committee of Medical Education diversity accreditation guidelines in 2009. This study's findings suggest a need for both the development and the evaluation of more robust policies and programs to create a physician workforce that is demographically representative of the US population.
| S-EPMC6727686 | biostudies-literature
Project description: Not available
| S-EPMC9857044 | biostudies-literature
Project description:BackgroundThe objective of postgraduate year (PGY) training programs is to inculcate in medical graduates the expected levels of skills in patient care. This study compared the core clinical competencies of trainees who received PGY training at Chang Gung Memorial Hospital by attending the pilot training program in different groups.MethodsWe used six 10-min test stations for clinical performance evaluation, which comprised four and two test stations designed for objective structured clinical examination and procedural skill, respectively, to evaluate the learning outcomes of the trainees. The trainees were divided into three groups according to the training programs that they had attended.ResultsThe aspects of clinical performance included history taking, physical examination, medical communication, logical thinking, and problem-solving abilities. The trainees who selected the surgery-based training program exhibited a higher performance at the station for aseptic surgical preparation than the other two groups (p = 0.0261). The trainees who selected the internal medical training program (p = 0.0020) exhibited a higher performance at the station for abdominal pain in children.ConclusionsA well-designed postgraduate training program should develop trainees' competencies, particularly clinical operational skills. The results of this study may provide useful insight into methods for improving the design of training programs. Additional investigation is necessary for understanding the effects of different programs on the clinical performance of trainees.
| S-EPMC7580520 | biostudies-literature
Project description:ImportanceWomen are underrepresented at higher ranks in academic medicine. However, the factors contributing to this disparity have not been fully elucidated. Implicit bias and unconscious mental attitudes toward a person or group may be factors. Although academic medical centers use physician trainee evaluations of faculty to inform promotion decisions, little is known about gender bias in these evaluations. To date, no studies have examined narrative evaluations of medical faculty by physician trainees for differences based on gender.ObjectiveTo characterize gender-associated linguistic differences in narrative evaluations of medical faculty written by physician trainees.Design, setting, and participantsThis retrospective cohort study included all faculty teaching evaluations completed for the department of medicine faculty by medical students, residents, and fellows at a large academic center in Pennsylvania from July 1, 2015, through June 30, 2016. Data analysis was performed from June 1, 2018, through July 31, 2018.Main outcomes and measuresWord use in faculty evaluations was quantified using automated text mining by converting free-text comments into unique 1- and 2-word phrases. Mixed-effects logistic regression analysis was performed to assess associations of faculty gender with frequencies of specific words and phrases present in a physician trainee evaluation.ResultsA total of 7326 unique evaluations were collected for 521 faculty (325 men [62.4%] and 196 women [37.6%]). The individual words art (odds ratio [OR], 7.78; 95% CI, 1.01-59.89), trials (OR, 4.43; 95% CI, 1.34-14.69), master (OR, 4.24; 95% CI, 1.69-10.63), and humor (OR, 2.32; 95% CI, 1.44-3.73) were significantly associated with evaluations of male faculty, whereas the words empathetic (OR, 4.34; 95% CI, 1.56-12.07), delight (OR, 4.26; 95% CI, 1.35-13.40), and warm (OR, 3.45; 95% CI, 1.83-6.49) were significantly associated with evaluations of female faculty. Two-word phrases associated with male faculty evaluations included run rounds (OR, 7.78; 95% CI, 1.01-59.84), big picture (OR, 7.15; 95% CI, 1.68-30.42), and master clinician (OR, 4.02; 95% CI, 1.21-13.36), whereas evaluations of female faculty were more likely to be associated with model physician (OR, 7.75; 95% CI, 1.70-35.39), just right (OR, 6.97; 95% CI, 1.51-32.30), and attention (to) detail (OR, 4.26; 95% CI, 1.36-13.40).Conclusions and relevanceThe data showed quantifiable linguistic differences between free-text comments about male and female faculty in physician trainee evaluations. Further evaluation of these differences, particularly in association with ongoing gender disparities in faculty promotion and retention, may be warranted.
| S-EPMC6512459 | biostudies-literature
Project description:PurposeTo investigate the representation of various gender, racial, and ethnic groups in ophthalmology clinical trials conducted in the United States (US) between 1997 and 2022.DesignRetrospective cross-sectional study.ParticipantsWe included all participants in completed phase II/III, III, and IV ophthalmology clinical trials reported on the ClincialTrials.gov database.MethodsThe proportional enrollment of each racial/ethnic and gender group in the clinical trials was calculated and compared with the US population. We also investigated the impact of various clinical trial features on the rate of reporting demographic information and enrollment of minorities.Main outcome measuresProportional enrollment of each gender and race/ethnicity group compared with the US Census.ResultsOf the total clinical trials included in the study, less than half (43.6%) provided information on the racial or ethnic backgrounds of their participants. The majority of the enrollees in trials were female (median: 57.5%, interquartile range [IQR]: 47.2%-65.8%). Among the trials that reported race and/or ethnicity data, White populations were overrepresented (median: 76.6%, IQR: 69.0%-84.0%, P = 0.001), and minorities, including Asian, Hispanic, and "other" groups, were underrepresented compared with the 2010 US Census (P < 0.001). Enrollment of Black individuals was found to be comparable to the US population estimates (median: 12.4%, IQR: 6.2%-20.8%, P = 0.44). The trial phase, the number of study participants, the primary clinical condition, and the year the trial started all affected demographic reporting and minority enrollments.ConclusionsOur findings highlight the need for increased efforts to promote diversity and inclusivity in ophthalmology clinical trials. Ensuring equitable inclusion of different gender, racial, and ethnic groups in the trials is essential for minimizing disparities and producing unbiased scientific findings generalizable to the entire population.Financial disclosuresProprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
| S-EPMC10654370 | biostudies-literature
Project description:IntroductionSusceptibility, or openness to smoking, is a predictor of future smoking. This study examines within-gender racial/ethnic differences in smoking susceptibility over historical time (1999-2018) and developmental age (11-18 years).MethodsData were obtained from 205,056 adolescent never smokers in 14 waves of the National Youth Tobacco Survey. Weighted time-varying effect models were used to estimate nonlinear trends in smoking susceptibility among minority (versus white) adolescents. Analyses were conducted in 2019.ResultsCompared with whites, Latino/a adolescents were consistently more susceptible to smoking, whereas black and Asian adolescents fluctuated between being less and equally susceptible over time. American Indian, Alaska Native, Native Hawaiian, and Pacific Islander adolescents were more susceptible from 2014 to 2017, with differences being larger for girls. Susceptibility peaked at age 14 years. Compared with whites, Latino/a adolescents were more susceptible throughout adolescence. Black adolescents were more susceptible in early adolescence, whereas Asian adolescents were less or equally susceptible to smoking in early to mid-adolescence. American Indian, Alaska Native, Native Hawaiian, and Pacific Islander girls were more susceptible in early and mid-adolescence, but boys were more susceptible in early adolescence only. American Indian, Alaska Native, Native Hawaiian, and Pacific Islander girls were less susceptible than white girls aged 18 years.ConclusionsTwenty-year racial/ethnic differences in smoking susceptibility were evident, particularly among girls, but were mostly equivalent between genders over developmental age. Targeting susceptible adolescents with gender-, race/ethnic-, and age-tailored prevention efforts may prevent or delay adolescents' transition to tobacco use and reduce tobacco-related disparities.
| S-EPMC7219202 | biostudies-literature
Project description:ImportanceIncreasing underrepresented in medicine (URIM) physicians among historically underserved communities helps reduce health disparities. The concordance of URIM physicians with their communities improves access to care, particularly for American Indian and Alaska Native, Black, and Hispanic or Latinx individuals.ObjectivesTo explore county-level racial and ethnic representation of US internal medicine (IM) residents, examine racial and ethnic concordance between residents and their communities, and assess whether representation varies by presence of academic institutions or underserved settings.Design, setting, and participantsThis retrospective cross-sectional study collected data from the Association of American Medical Colleges, Accreditation Council for Graduate Medical Education (ACGME), Area Health Resources Files, and US Department of Education data on ACGME-accredited US IM residency programs and their associated county populations. Self-reported racial and ethnic data from 2018 for 4848 residents in 393 IM programs in 205 counties were used. Data were analyzed between February 15 and September 20, 2024.ExposureCounty-level presence for academic health centers (AHCs), minority-serving institutions (MSIs), health professional shortage areas (HPSAs), and rurality.Main outcomes and measuresMain outcomes were representation quotients (RQs) or the ratio of the proportion of IM residents and their concordant county-level racial and ethnic populations. Quantile linear regression models on median representation were used to identify the association with URIM, Asian, and White residents by US Census division and county-level AHCs, MSIs, HPSAs, and rurality.ResultsAmong 4848 residents, 4 (0.08%) self-identified as American Indian or Alaskan Native, 1709 (35.3%) as Asian, 289 (6.0%) as Black, 211 (4.4%) as Hispanic or Latinx, 2 (0.04%) as Native Hawaiian or Other Pacific Islander, and 2633 (54.3%) as White. A total of 761 (15.7%) were classified as URIM. Among URIM groups, American Indian and Alaska Native (mean [SE] RQ, 0.00 [0.04]), Black (mean [SE] RQ, 0.09 [0.20]), Hispanic and Latinx (mean [SE] RQ, 0.00 [0.04]), and Native Hawaiian and other Pacific Islander (mean [SE] RQ, 0.00 [0.26]) residents were grossly underrepresented compared with their training sites' county-level representation. Fifty-one of 205 counties (24.8%) with IM programs had no URIM residents. Black and Hispanic or Latinx residents had higher representation in counties with more MSIs (mean [SD] RQ, 0.19 [0.24]; P = .04; mean [SD] RQ, 0.15 [0.04]; P < .001, respectively), and Hispanic or Latinx residents were less represented in counties with more AHCs (mean [SD] RQ, 0.00 [0.06]; P < .001). Asian residents had lower RQs in counties with more MSIs (mean [SD] RQ, 6.00 [0.65]; P < .001), and White residents had higher representation in counties with greater presence of AHCs (mean [SD] RQ, 0.77 [0.04]; P = .007).Conclusions and relevanceIn this cross-sectional study, URIM IM residents remained underrepresented compared with their program's county populations. These findings should inform racial and ethnic diversity policies to address the continuing underrepresentation among graduate medical education physicians, which adversely impacts the care of historically underserved communities.
| S-EPMC11783195 | biostudies-literature
Project description:ImportanceThe lack of inclusion of diverse population samples in food allergy immunotherapy clinical trials not only leads to decreased applicability to the general population in terms of results and treatments but can also be seen as a broader social injustice contributing to inequity within the health care system.ObjectivesTo investigate the racial and ethnic distribution of participants included in food allergy immunotherapy clinical trials, and determine whether the racial and ethnic representation in trials accurately reflects the patients who experience food allergy.Evidence reviewData were collected from articles found on PubMed and ClinicalTrials.gov using key terms of food hypersensitivity, food allergy, and immunotherapy, while also incorporating specific criteria such as clinical trials conducted within the last 5 years with children aged from birth to 18 years old. Articles were selected based on their relevance to the research question. Main outcomes were totals and percentages of trial participants by race and ethnicity, stratified by pediatric trials, site of study, and National Institutes of Health funding.FindingsThirty-five articles were initially identified, of which 34 were classified as human clinical trials. Of these trials, 26 met criteria of an original randomized clinical trial and included racial and ethnic demographics for analysis in the study. Among trials included, the majority of the 3689 participants identified as White (2640 participants [72.0%]), followed by Black or African American (293 participants [8.0%]), Asian (239 participants [6.0%]), multiple races or other (210 participants [6.0%]), Hispanic or Latino (96 participants [3.0%]), American Indian (3 participants [<1.0%]), and Native American or Pacific Islander (3 participants [<1.0%]). We observed differences in racial and ethnic inclusion by study site (US vs external to US) and funding support (National Institutes of Health vs industry or other non-National Institutes of Health sources).Conclusions and relevanceIn this systematic review of racial and ethnic diversity in food allergy immunotherapy trials, there was a lack of diversity relative to the overall food allergy burden among Black and Hispanic patients, indicating important gaps in the conduct of pediatric clinical trials, especially for treatments that are meant for use in broad populations where significant race- and ethnicity-related disparities exist. Working to correct this disparity will not only increase the usefulness of future clinical trial data but can further assist in alleviating public health inequities.
| S-EPMC11406388 | biostudies-literature