Understanding and Addressing Widening Racial Inequalities in Drug Overdose.

The fourth wave of the United States overdose crisis-driven by the polysubstance use of fentanyl with stimulants and other synthetic substances-has driven sharply escalating racial/ethnic inequalities in drug overdose death rates. Here the authors present a detailed portrait of the latest overdose trends and synthesize the literature to describe where, how, and why these inequalities are worsening. By 2022 overdose deaths among Native and Black Americans rose to 1.8 and 1.4 times the rate seen among White Americans, respectively. This reflects that Black and Native Americans have been disproportionately affected by fentanyl and the combination of fentanyl and stimulants at the national level and in virtually every state. The highest overdose deaths rates are currently seen among Black Americans 55-64 years of age as well as younger cohorts of Native Americans 25-44 years of age. In 2022-the latest year of data available-deaths among White Americans decreased relative to 2021, whereas rates among all other groups assessed continued to rise. Moving forward, Fundamental Cause Theory shows us a relevant universal truth of implementation science: in socially unequal societies, new technologies typically end up favoring more privileged groups first, thereby widening inequalities unless underlying social inequalities are addressed. Therefore, interventions designed to reduce addiction and overdose death rates that are not explicitly designed to also improve racial/ethnic inequalities will often unintentionally end up worsening them. Well-funded community-based programs, with Black and Native leadership, providing harm reduction resources, naloxone, and medications for opioid use disorder in the context of comprehensive, culturally appropriate healthcare and other services, represent the highest priority interventions to decrease inequalities.

Policy solutions to eliminate racial and ethnic child health disparities in the USA.

Societal systems act individually and in combination to create and perpetuate structural racism through both policies and practices at the local, state, and federal levels, which, in turn, generate racial and ethnic health disparities. Both current and historical policy approaches across multiple sectors-including housing, employment, health insurance, immigration, and criminal legal-have the potential to affect child health equity. Such policies must be considered with a focus on structural racism to understand which have the potential to eliminate or at least attenuate disparities. Policy efforts that do not directly address structural racism will not achieve equity and instead worsen gaps and existing disparities in access and quality-thereby continuing to perpetuate a two-tier system dictated by racism. In Paper 2 of this Series, we build on Paper 1's summary of existing disparities in health-care delivery and highlight policies within multiple sectors that can be modified and supported to improve health equity, and, in so doing, improve the health of racially and ethnically minoritised children.

How race, sex and age interact in association with COVID-19 outcomes over time: An analysis of Michigan data.

BACKGROUND: COVID-19 has had a disproportionate impact on racial and ethnic minorities compared to White people. Studies have not sufficiently examined how sex and age interact with race/ethnicity, and potentially shape COVID-19 outcomes. We sought to examine disparities in COVID-19 outcomes by race, sex and age over time, leveraging data from Michigan, the only state whose Department of Health and Human Services (DHSS) publishes cross-sectional race, sex and age data on COVID-19. METHODS: This is an observational study using publicly available COVID-19 data (weekly cases, deaths, and vaccinations) from August 31 2020 to June 9 2021. Outcomes for descriptive analysis were age-standardized COVID-19 incidence and mortality rates, case-fatality rates by race, sex, and age, and within-gender and within-race incidence rate ratios and mortality rate ratios. We used descriptive statistics and linear regressions with age, race, and sex as independent variables. RESULTS: The within-sex Black-White racial gap in COVID-19 incidence and mortality decreased at a similar rate among men and women but the remained wider among men. As of June 2021, compared to White people, incidence was lower among Asian American and Pacific Islander people by 2644 cases per 100,000 people and higher among Black people by 1464 cases per 100,000 people. Mortality was higher among those aged 60 or greater by 743.6 deaths per 100,000 people vs those 0-39. The interaction between race and age was significant between Black race and age 60 or greater, with an additional 708.5 deaths per 100,000 people vs White people aged 60 or greater. Black people had a higher case fatality rate than White people. CONCLUSION: COVID-19 incidence, mortality and vaccination patterns varied over time by race, age and sex. Black-White disparities decreased over time, with a larger effect on Black men, and Older Black people were particularly more vulnerable to COVID-19 in terms of mortality. Considering different individual characteristics such as age may further help elucidate the mechanisms behind racial and gender health disparities.

The Planetary Benefit of Suspending USMLE Step 2 CS: Estimating Carbon Emissions Associated with US Medical Students' Travel to Testing Centers.

Background: The discontinuation of the Step 2 Clinical Skills Exam (CS) by the United States Medical Licensing Examination (USMLE) eliminated the need for personal travel to testing centers. The carbon emissions associated with CS have not been previously quantified. Objective: To estimate the annual carbon emissions generated by travel to CS Testing Centers (CSTCs) and to explore differences across geographic regions. Methods: We conducted a cross-sectional, observational study by geocoding medical schools and CSTCs to calculate the distance between them. We obtained data from the 2017 matriculant databases of the Association of American Medical Colleges (AAMC) and the American Association of Colleges of Osteopathic Medicine (AACOM). The independent variable was the location as defined by USMLE geographic regions. The dependent variables were distance traveled to CSTCs and estimated carbon emissions in metric tons CO2 (mtCO2) calculated using three models. In model 1 all students used single occupancy vehicles; in model 2, all carpooled; and in model 3, half traveled by train and half by single occupancy vehicle. Results: Our analysis included 197 medical schools. The mean out-of-town travel distance was 280.67 miles (IQR: 97.49-383.42). The mtCO2 associated with travel was 2,807.46 for model 1; 3,135.55 for model 2; and 635.34 for model 3. The Western region traveled the farthest, while the Northeast traveled significantly less than other regions. Conclusion: The annual estimated carbon emissions from travel to CSTCs was approximately 3,000 mtCO2. Northeastern students traveled the shortest distances; the average US medical student expended 0.13 mtCO2. Medical leaders must consider the environmental impact of medical curricula and pursue accordant reforms.

Thematic Analysis of State Medicaid Buprenorphine Prior Authorization Requirements.

Importance: Prior authorization (PA) requirements for buprenorphine are associated with lower provision of the medication for the treatment of opioid use disorder (OUD). While Medicare plans have eliminated PA requirements for buprenorphine, many Medicaid plans continue to require them. Objective: To describe and classify buprenorphine coverage requirements based on thematic analysis of state Medicaid PA forms. Design, Setting, and Participants: This qualitative study used a thematic analysis of 50 states' Medicaid PA forms for buprenorphine between November 2020 and March 2021. Forms were obtained from the jurisdiction's Medicaid websites and assessed for features suggesting barriers to buprenorphine access. A coding tool was developed based on a review of a sample of forms, including fields for behavioral health treatment recommendations or mandates, drug screening requirements, and dosage limitations. Main Outcomes and Measures: Outcomes included PA requirements for different buprenorphine formulations. Additionally, PA forms were evaluated for various criteria such as behavioral health, drug screenings, dose-related recommendations or mandates or patient education. Results: Among the total of 50 US states in the analysis, most states' Medicaid plans required PA for at least 1 formulation of buprenorphine. However, the majority did not require a PA for buprenorphine-naloxone. Four key themes of coverage requirements were identified: restrictive surveillance (eg, requirements for urine drug screenings, random drug screenings, pill counts), behavioral health treatment recommendations or mandates (eg, mandatory counseling or 12-step meeting attendance), interfering with or restricting medical decision-making (eg, maximum daily dosages of 16 mg, requiring additional steps for dosages higher than 16 mg), and patient education (eg, information about adverse effects and interactions with other medications). Eleven states (22%) required urine drug screenings, 6 states (12%) required random urine drug screenings, and 4 states (8%) required pill counts. Fourteen states' forms (28%) recommended therapy, and 7 (14%) required therapy, counseling, or participation in group sessions. Eighteen states (36%) specified dosage maximums; among them, 11 (22%) required additional steps for a daily dosage higher than 16 mg. Conclusion: In this qualitative study of state Medicaid PA requirements for buprenorphine, themes were identified that included patient surveillance with drug screenings and pill counts, behavioral health treatment recommendations or mandates, patient education, and dosing guidance. These results suggest that state Medicaid plans' buprenorphine PA requirements for OUD are in conflict with existing evidence and may negatively affect states' efforts to address the opioid overdose crisis.

Personalized risk communication and opioid prescribing in association with nonprescribed opioid use: A secondary analysis of a randomized controlled trial.

BACKGROUND: To determine the impact of personalized risk communication and opioid prescribing on nonprescribed opioid use, we conducted a secondary analysis of randomized controlled trial participants followed prospectively for 90 days after an emergency department (ED) visit for acute back or kidney stone pain. METHODS: A total of 1301 individuals were randomized during an encounter at four academic EDs into a probabilistic risk tool (PRT) arm, a narrative-enhanced PRT arm, or a general risk information arm (control). In this secondary analysis, both risk tool arms were combined and compared with the control arm. We used logistic regressions to determine associations between receiving personalized risk information, receiving an opioid prescription in the ED, and nonprescribed opioid use in general and by race. RESULTS: Complete follow-up data were available for 851 participants; 23.3% (n = 198) were prescribed opioids (34.2% of White vs. 11.6% of Black participants, p < 0.001). Fifty-six (6.6%) participants used nonprescribed opioids. Participants in the personalized risk communication arms had lower nonprescribed opioid use odds (adjusted odds ratio [aOR] 0.58, 95% confidence interval [CI] 0.4-0.83). Black versus White participants had greater nonprescribed opioid use odds (aOR 3.47, 95% CI 2.05-5.87, p < 0.001). Black participants who were prescribed opioids had a lower marginal probability of using nonprescribed opioids versus those who were not (0.06, 95% CI 0.04-0.08, p < 0.001 vs. 0.10, 95% CI 0.08-0.11, p < 0.001). The absolute risk difference in nonprescribed opioid use for Black and White participants, respectively, in the risk communication versus the control arm, was 9.7% and 0.1% (relative risk ratio 0.43 vs. 0.95). CONCLUSIONS: Among Black but not White participants, personalized opioid risk communication and opioid prescribing were associated with lower odds of nonprescribed opioid use. Our findings suggest that racial disparities in opioid prescribing-which have been previously described within the context of this trial-may paradoxically increase nonprescribed opioid use. Personalized risk communication may effectively reduce nonprescribed opioid use, and future research should be designed specifically to explore this possibility in a larger cohort.

Racial and Ethnic Differences in Internal Medicine Residency Assessments.

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 < .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 < .001; mean [SD] difference in scores for Asian residents, -1.9 [0.27]; P < .001). By the final year 3 assessment, the gap between White and Asian and URiM residents' 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.

Piloting web-based structural competency modules among internal medicine residents and graduate students in public health.

Introduction: Fewer than half of internal medicine program directors report any health disparities curriculum. We piloted a web-based healthcare disparities module among internal medicine (IM) residents to test effectiveness and feasibility, compared to a convenient sample of graduate students enrolled in a public health equity course. Methods: IM residents participated in an in-person session (module 1: introduction to racial and ethnic health disparities), but first, they completed a pre-module knowledge quiz. Two weeks later, they completed module 2: "unconscious associations" and a post-module knowledge quiz. For the control arm Yale School of Public Health (YSPH) students enrolled in a course on health disparities completed the pre-module knowledge quiz, module 1, and 2 as required by their course instructor. Results: Forty-nine IM residents and 22 YSPH students completed the pre-module quiz and Module 1. The mean (SD) score out of 25 possible points for the IM residents on the pre-module quiz was 16.1/25 (2.8), and 16.6/25 (3.2) for YSPH students, with no statistically significant difference. Nineteen residents (38.8%) completed the post-module quiz with a mean score of 16.7/25 (2.2), Hedge's g =0.23, compared to 18 (81.8%) YSPH students, whose mean (SD) score was 19.5/25 (2.1), Hedge's g=1.05. YSPH students' post-module quiz average was statistically significantly higher than their pre-module test score, as well as the residents' post-module test (P < 0.001). In examining participants' responses to specific questions, we found that 51% (n = 25) of residents wrongly defined discrimination with an emphasis on attitudes and intent as opposed to actions and impact, compared to 22.7% (n = 5) YSPH students before the module, vs. 63.2% (n = 12) and 88.9% (n = 16) respectively after. Conclusion: After completing a healthcare disparities course, graduate students in public health saw greater gains in knowledge compared to IM residents. Residents' responses showed knowledge gaps such as understanding discrimination, and highlight growth opportunity in terms of health equity education. Furthermore, embedding health equity education in required curricular activities may be a more effective approach.

Association Between Racial and Ethnic Diversity in Medical Specialties and Residency Application Rates.

Importance: The lack of racial and ethnic diversity in the US medical profession is a well-recognized problem, and racial and ethnic representation is highly variable across the medical specialties. Residency selection is a crucial juncture at which diversity and representation in specialties can be increased. Objective: To identify factors associated with residency application rates for medical specialties by race and ethnicity. Design, Setting, and Participants: This national cross-sectional study of medical student residency applications used American Association of Medical Colleges data on 2019-2020 applicants and information about the racial and ethnic characteristics of practicing physicians (including medical school faculty) and department chairs. A total of 26 320 applicants to medical residency programs, 592 296 practicing physicians, and 2121 department chairs across the US were included. Residency application rates for 18 medical specialties were evaluated. Main Outcomes and Measures: The main outcome was the specialty representation quotient (SRQ), which estimated the extent to which students from a racial or ethnic group were overrepresented (an SRQ >1) or underrepresented (an SRQ <1) in a given specialty compared with the racial and ethnic demographic characteristics of the corresponding graduating class. Covariates included the racial and ethnic demographic characteristics of practicing physicians and department chairs by specialty based on American Association of Medical Colleges data and student academic factors (mean United States Medical Licensing Examination step 1 score, number of research experiences, and AΩA honor society membership among matched students from the previous application cycle). Multivariable logistic regression analysis was used to examine associations between these covariates and application rates by race and ethnicity. Results: Among 26 320 specialty-specific applications to medical residency programs in 18 specialties, 90 (0.3%) were from American Indian or Alaska Native students, 6718 (25.5%) were from Asian students, 2575 (9.8%) were from Black students, 1896 (7.2%) were from Hispanic students, and 15 041 (57.1%) were from White students. Among 592 296 practicing physicians, 2777 (0.5%) were American Indian or Alaska Native, 117 358 (19.8%) were Asian, 36 639 (6.2%) were Black, 41 071 (6.9%) were Hispanic, and 394 451 (66.6%) were White. Among 2121 department chairs, 5 (0.2%) were American Indian or Alaska Native, 212 (10.0%) were Asian, 86 (4.1%) were Black, 88 (4.1%) were Hispanic, and 1730 (81.6%) were White. The specialties with the greatest representation among applicants from racial and ethnic groups underrepresented in medicine (URM) were family medicine (SRQ, 1.70), physical medicine and rehabilitation (SRQ, 1.60), and obstetrics and gynecology (SRQ, 1.47). The specialties with the lowest URM representation among applicants were plastic surgery (SRQ, 0.47), otolaryngology (SRQ, 0.53), and orthopedic surgery (SRQ, 0.86). Membership in AΩA was negatively associated with SRQ among American Indian or Alaska Native students only (ß = -0.11; 95% CI, -0.17 to -0.05; P = .002). Racial and ethnic representation among practicing physicians was positively associated with SRQ for American Indian or Alaska Native students (ß = 6.05; 95% CI, 4.26-7.85; P < .001), Asian students (ß = 0.07; 95% CI, 0.06-0.09; P < .001), Black students (ß = 0.10; 95% CI, 0.06-0.15; P < .001), and URM students overall (ß = 0.05; 95% CI, 0.01-0.08; P = .02). Conclusions and Relevance: This study's findings suggest that the propensity of medical students, particularly those from racial and ethnic minority groups, to apply to a given specialty for residency was associated with the representation of their racial or ethnic group among the specialty's practicing physicians. Future work to characterize the mechanisms of occupational sorting may guide interventions to improve equity within the physician workforce.

Advancing health equity through integrated biology and population health research: A community-based sample cortisol feasibility and exploratory study.

Background: Community-based research inclusive of self-assessment and objective environmental metrics can be enhanced by the collection of biomarker data in unity toward assessing the health impacts of the totality of environmental stress driven by structural racism. Cortisol dynamic range (CDR), a measure of chronic stress burden, may underpin place-based connections to health, but a gap remains in elucidating community-based CDR methodology. Purpose: To 1) assess the feasibility of cortisol collection and CDR measurement in a community-based study with home-based, participant-directed specimen collection, and 2) explore the association between CDR and other individual and environmental measures in a sample of predominantly Black participants. Methods: In this cross-sectional, observational study in predominantly Black urban neighborhoods, participants (n = 73) completed health assessments and in-home, self-collected salivary cortisol. For feasibility, CDR (peak-nadir) was compared to cortisol awakening response (CAR) slope over time. Comparisons of CDR quartile by person and place variables were explored (ANOVA). Results: The cohort (77% Black, 39.7% <$15 k/year income, high perceived stress) completed 98.6% of cortisol collection timepoints. CDR was calculated in all participants without interruptions to sleep-wake cycle as seen with CAR collection. Participants in the lowest quartile of CDR were the oldest (p = 0.03) with lowest reported mental health (p = 0.048) with no associations seen for CAR. Conclusion: Participant-collected CDR is more feasible than cortisol measures dependent on slopes over time in a community-based, predominately Black cohort with exploratory findings supporting relevance to outcomes of interest to future work. Future community-based studies should integrate CDR with environment and psychosocial measures.

Medical Schools as Racialized Organizations: How Race-Neutral Structures Sustain Racial Inequality in Medical Education-a Narrative Review.

In 2021, The American Association of Medical Colleges released a framework addressing structural racism in academic medicine, following the significant, nationwide Movement for Black Lives. The first step of this framework is to "begin self-reflection and educating ourselves." Indeed, ample evidence shows that medical schools have a long history of racially exclusionary practices. Drawing on racialized organizations theory from the field of sociology, we compile and examine scholarship on the role of race and racism in medical training, focusing on disparities in educational and career outcomes, experiences along racial lines in medical training, and long-term implications. From the entrance into medical school through the residency application process, organizational factors such as reliance on standardized tests to predict future success, a hostile learning climate, and racially biased performance metrics negatively impact the careers of trainees of color, particularly those underrepresented in medicine (URiM). Indeed, in addition to structural biases associated with otherwise "objective" metrics, there are racial disparities across subjective outcomes such as the language used in medical trainees' performance evaluations, even when adjusting for grades and board exam scores. These disadvantages contribute to URIM trainees' lower odds of matching, steering into less competitive and lucrative specialties, and burnout and attrition from academic careers. Additionally, hostile racial climates and less diverse medical schools negatively influence White trainees' interest in practicing in underserved communities, disproportionally racial and ethnic minorities. Trainees' mental health suffers along the way, as do medical schools' recruitment, retention, diversity, and inclusion efforts. Evidence shows that seemingly race-neutral processes and structures within medical education, in conjunction with individuals' biases and interpersonal discrimination, may reproduce and sustain racial inequality among medical trainees. Medical schools whose goals include training a more diverse physician workforce towards addressing racial health disparities require a new playbook.