Teacher's social desirability bias and Migrant students: A study on explicit and implicit prejudices with a list experiment.

Scholarly research has consistently shown that teachers present negative assessments of and attitudes toward migrant students. However, previous studies have not clearly addressed the distinction between implicit and explicit prejudices, or identified their underlying sources. This study identifies the explicit and implicit prejudices held by elementary and middle school teachers regarding the learning abilities of an ethnic minority group: Haitian students within the Chilean educational system. We use a list experiment to assess how social desirability and intergroup attitudes toward minority students influence teachers' prejudices. The findings reveal that teachers harbor implicit prejudices towards Haitian students and are truthful in reporting their attitudes, thereby contradicting the desirability bias hypothesis. We suggest that teachers rely on stereotypes associated with the students' nationality when assessing Haitian students' learning abilities. The implications of these results are discussed in relation to theories grounded in stereotypes and intergroup attitudes.

Beyond intensive mothering: Racial/ethnic variation in maternal time with children.

Despite substantial evidence that racial/ethnic minority communities exhibit distinct mothering practices, research on racial/ethnic differences in how mothers spend time with their children is scant. Using the 2003-2019 American Time Use Survey (N = 44,372), this study documents variations in the amounts of childcare and copresent time spent in various activities with residential children aged 0-17 across White, Black, Latina, and Asian mothers. The results show that racial/ethnic differences in maternal time spent with children are partly due to socioeconomic differences but still exist when these factors are held constant, indicating patterns that reflect each minority community's mothering norms. Compared to mothers in other groups, Black mothers spend more copresent time with children in religious activities, although less in terms of the total amount of time. Latina mothers spend more copresent time with elementary-school-age children while engaging in daily routines. Asian mothers spend more time teaching and eating with elementary-school-age or younger children.

Disparities in Tuberculosis Incidence by Race and Ethnicity Among the U.S.-Born Population in the United States, 2011 to 2021 : An Analysis of National Disease Registry Data.

BACKGROUND: Elevated tuberculosis (TB) incidence rates have recently been reported for racial/ethnic minority populations in the United States. Tracking such disparities is important for assessing progress toward national health equity goals and implementing change. OBJECTIVE: To quantify trends in racial/ethnic disparities in TB incidence among U.S.-born persons. DESIGN: Time-series analysis of national TB registry data for 2011 to 2021. SETTING: United States. PARTICIPANTS: U.S.-born persons stratified by race/ethnicity. MEASUREMENTS: TB incidence rates, incidence rate differences, and incidence rate ratios compared with non-Hispanic White persons; excess TB cases (calculated from incidence rate differences); and the index of disparity. Analyses were stratified by sex and by attribution of TB disease to recent transmission and were adjusted for age, year, and state of residence. RESULTS: In analyses of TB incidence rates for each racial/ethnic population compared with non-Hispanic White persons, incidence rate ratios were as high as 14.2 (95% CI, 13.0 to 15.5) among American Indian or Alaska Native (AI/AN) females. Relative disparities were greater for females, younger persons, and TB attributed to recent transmission. Absolute disparities were greater for males. Excess TB cases in 2011 to 2021 represented 69% (CI, 66% to 71%) and 62% (CI, 60% to 64%) of total cases for females and males, respectively. No evidence was found to indicate that incidence rate ratios decreased over time, and most relative disparity measures showed small, statistically nonsignificant increases. LIMITATION: Analyses assumed complete TB case diagnosis and self-report of race/ethnicity and were not adjusted for medical comorbidities or social determinants of health. CONCLUSION: There are persistent disparities in TB incidence by race/ethnicity. Relative disparities were greater for AI/AN persons, females, and younger persons, and absolute disparities were greater for males. Eliminating these disparities could reduce overall TB incidence by more than 60% among the U.S.-born population. PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention.

Spatial and temporal differences and convergence analysis of multidimensional relative poverty in ethnic areas.

Reducing multidimensional relative poverty is one of the important issues in the current global poverty governance field. This article takes 12 ethnic regions in China as the research object and constructs a multidimensional relative poverty measurement system. The calculated multidimensional relative poverty index is decomposed according to provinces, cities, dimensions, and indicators. Then, the Dagum Gini coefficient and convergence analysis are used to analyze spatiotemporal heterogeneity and convergence characteristics. The results show that the multi-dimensional relative poverty situation of various provinces in ethnic minority areas has improved from 2012 to 2021, among which Tibet province is the most serious and Shaanxi is the best. According to the analysis of convergence, it was observed that there is no σ-convergence of multidimensional relative poverty in ethnic areas in general, and there is absolute ß-convergence in general and in the southwest and northwest regions, and there is no absolute ß-convergence in the northeast region. Based on this, policy recommendations for reducing multidimensional relative poverty are proposed at the end of the article. Compared with previous studies, this article focuses on ethnic regions that are easily overlooked. Starting from the dimensions of economy, social development, and ecological environment, the poverty measurement system has been enriched.

Racial and ethnic disparities in access to community-based perinatal mental health programs: results from a cross-sectional survey.

BACKGROUND: Perinatal mental health is a major public health problem that disproportionately affects people from racial and ethnic minority groups. Community-based perinatal mental health programs, such as peer support groups, are essential tools for the prevention and treatment of perinatal depression. Yet, little is known about racial and ethnic disparities in accessibility and utilization of community-based perinatal mental health programs. METHODS: We conducted a cross-sectional study using an online survey with program administrators representing perinatal mental health community-based services and support programs throughout New Jersey. Descriptive analysis and mapping software was used to analyze the data. RESULTS: Thirty-three program administrators completed the survey. Results showed substantial racial and ethnic disparities in availability and utilization of community-based programs. In the majority of programs, Black, Hispanic, and Asian individuals made up less than 10% of total annual participants and less than 10% of facilitators. There were also geographic disparities in program accessibility and language availability across counties. Program administrators identified mental health stigma, lack of support from family, fear of disclosure of mental health challenges, social determinants, lack of language-concordant options in programs, and limited awareness of programs in the community as significant barriers to participation of racial and ethnic minorities. Strategies to address barriers included adding language options, improving program outreach, and increasing diversity of facilitators. CONCLUSIONS: This study provides new evidence on racial and ethnic disparities in access to community-based perinatal mental health programs. Efforts to build the resources and capacities of community-based programs to identify equity gaps, increase diversity of staff, and address barriers to participation is critical to reducing racial and ethnic inequities in perinatal mental health.

Assessing ascertainment bias in atrial fibrillation across US minority groups.

The aim of this study is to define atrial fibrillation (AF) prevalence and incidence rates across minority groups in the United States (US), to aid in diversity enrollment target setting for randomized controlled trials. In AF, US minority groups have lower clinically detected prevalence compared to the non-Hispanic or Latino White (NHW) population. We assess the impact of ascertainment bias on AF prevalence estimates. We analyzed data from adults in Optum's de-identified Clinformatics® Data Mart Database from 2017-2020 in a cohort study. Presence of AF at baseline was identified from inpatient and/or outpatient encounters claims using validated ICD-10-CM diagnosis algorithms. AF incidence and prevalence rates were determined both in the overall population, as well as in a population with a recent stroke event, where monitoring for AF is assumed. Differences in prevalence across cohorts were assessed to determine if ascertainment bias contributes to the variation in AF prevalence across US minority groups. The period prevalence was respectively 4.9%, 3.2%, 2.1% and 5.9% in the Black or African American, Asian, Hispanic or Latino, and NHW population. In patients with recent ischemic stroke, the proportion with AF was 32.2%, 24.3%, 25%, and 24.5%, respectively. The prevalence of AF among the stroke population was approximately 7 to 10 times higher than the prevalence among the overall population for the Asian and Hispanic or Latino population, compared to approximately 5 times higher for NHW patients. The relative AF prevalence difference of the Asian and Hispanic or Latino population with the NHW population narrowed from respectively, -46% and -65%, to -22% and -24%. The study findings align with previous observational studies, revealing lower incidence and prevalence rates of AF in US minority groups. Prevalence estimates of the adult population, when routine clinical practice is assumed, exhibit higher prevalence differences compared to settings in which monitoring for AF is assumed, particularly among Asian and Hispanic or Latino subgroups.

High-resolution KIR and HLA genotyping in three Chinese ethnic minorities reveals distinct origins.

Polymorphism of killer-cell immunoglobulin-like receptors (KIRs) and their HLA class I ligands impacts the effector activity of cytotoxic NK cell and T cell subsets. Therefore, understanding the extent and implications of KIR and HLA class I genetic polymorphism across various populations is important for immunological and medical research. In this study, we conducted a high-resolution investigation of KIR and HLA class I diversity in three distinct Chinese ethnic minority populations. We studied the She, Yugur, and Tajik, and compared them with the Zhejiang Han population (Zhe), which represents the majority Southern Han ethnicity. Our findings revealed that the Tajik population exhibited the most diverse KIR copy number, allele, and haplotype diversity among the four populations. This diversity aligns with their proposed ancestral origin, closely resembling that of Iranian populations, with a relatively higher presence of KIR-B genes, alleles, and haplotypes compared with the other Chinese populations. The Yugur population displayed KIR distributions similar to those of the Tibetans and Southeast Asians, whereas the She population resembled the Zhe and other East Asians, as confirmed by genetic distance analysis of KIR. Additionally, we identified 12.9% of individuals across the three minority populations as having KIR haplotypes characterized by specific gene block insertions or deletions. Genetic analysis based on HLA alleles yielded consistent results, even though there were extensive variations in HLA alleles. The observed variations in KIR interactions, such as higher numbers of 2DL1-C2 interactions in Tajik and Yugur populations and of 2DL3-C1 interactions in the She population, are likely shaped by demographic and evolutionary mechanisms specific to their local environments. Overall, our findings offer valuable insights into the distribution of KIR and HLA diversity among three distinct Chinese ethnic minority populations, which can inform future clinical and population studies.

Disadvantaged groups have greater spatial access to pharmacies in New York state.

BACKGROUND: The accessibility of pharmacies has been associated with overall health and wellbeing. Past studies have suggested that low income and racial minority communities are underserved by pharmacies. However, the literature is inconsistent in finding links between area-level income or racial and ethnic composition and access to pharmacies. Here we aim to assess area-level spatial access to pharmacies across New York State (NYS), hypothesizing that Census Tracts with higher poverty rates and higher percentages of Black and Hispanic residents would have lower spatial access. METHODS: The population weighted mean shortest road network distance (PWMSD) to a pharmacy in 2018 was calculated for each Census Tract in NYS. This statistic was calculated from the shortest road network distance to a pharmacy from the centroid of each Census block within a tract, with the mean across census blocks weighted by the population of the census block. Cross-sectional analyses were conducted to assess links between Tract-level socio demographic characteristics and Tract-level PWMSD to a pharmacy. RESULTS: Overall the mean PWMSD to a pharmacy across Census tracts in NYS was 2.07 Km (SD = 3.35, median 0.85 Km). Shorter PWMSD to a pharmacy were associated with higher Tract-level % poverty, % Black/African American (AA) residents, and % Hispanic/Latino residents and with lower Tract-level % of residents with a college degree. Compared to tracts in the lowest quartile of % Black/AA residents, tracts in the highest quartile had a 70.7% (95% CI 68.3-72.9%) shorter PWMSD to a pharmacy. Similarly, tracts in the highest quartile of % poverty had a 61.3% (95% CI 58.0-64.4%) shorter PWMSD to a pharmacy than tracts in the lowest quartile. CONCLUSION: The analyses show that tracts in NYS with higher racial and ethnic minority populations and higher poverty rates have higher spatial access to pharmacies.

GSB: GNGS and SAG-BiGRU network for malware dynamic detection.

With the rapid development of the Internet, the continuous increase of malware and its variants have brought greatly challenges for cyber security. Due to the imbalance of the data distribution, the research on malware detection focuses on the accuracy of the whole data sample, while ignoring the detection rate of the minority categories' malware. In the dataset sample, the normal data samples account for the majority, while the attacks' malware accounts for the minority. However, the minority categories' attacks will bring great losses to countries, enterprises, or individuals. For solving the problem, this study proposed the GNGS algorithm to construct a new balance dataset for the model algorithm to pay more attention to the feature learning of the minority attacks' malware to improve the detection rate of attacks' malware. The traditional malware detection method is highly dependent on professional knowledge and static analysis, so we used the Self-Attention with Gate mechanism (SAG) based on the Transformer to carry out feature extraction between the local and global features and filter irrelevant noise information, then extracted the long-distance dependency temporal sequence features by the BiGRU network, and obtained the classification results through the SoftMax classifier. In the study, we used the Alibaba Cloud dataset for malware multi-classification. Compared the GSB deep learning network model with other current studies, the experimental results showed that the Gaussian noise generation strategy (GNGS) could solve the unbalanced distribution of minority categories' malware and the SAG-BiGRU algorithm obtained the accuracy rate of 88.7% on the eight-classification, which has better performance than other existing algorithms, and the GSB model also has a good effect on the NSL-KDD dataset, which showed the GSB model is effective for other network intrusion detection.

Big data empowerment: Digital transformation and governance of minority shareholders: Evidence from China.

Based on the analysis of data from listed enterprises in China between 2011 and 2022, we investigate the influence of digital transformation on the governance efficiency for minority shareholders. The results show that the extent of digital transformation exert a negative effect on the agency costs incurred from related-party transactions. The mechanism examination elucidates that digital transformation augments the governance efficiency for minority shareholders by boosting attendance at shareholders' meetings and enhancing the exit threat for minority shareholders. Subsequent analysis reveals that non-state-owned enterprises, compared to state-owned enterprises, exhibit a more pronounced effect in diminishing the second type of agency costs through digital transformation. Furthermore, the impact of digital transformation in curtailing agency costs is more significant in the eastern regions than central and western regions. The better the equity checks and balances in listed enterprises, the more effective digital transformation is in reducing agency costs. This study offers valuable insights for bolstering the governance capacity of minority shareholders in the context of digital transformation.

Federal Retail Pharmacy Program Contributions to Bivalent mRNA COVID-19 Vaccinations Across Sociodemographic Characteristics - United States, September 1, 2022-September 30, 2023.

The Federal Retail Pharmacy Program (FRPP) facilitated integration of pharmacies as partners in national efforts to scale up vaccination capacity during the COVID-19 pandemic emergency response. To evaluate FRPP's contribution to vaccination efforts across various sociodemographic groups, data on COVID-19 bivalent mRNA vaccine doses administered during September 1, 2022-September 30, 2023, were evaluated from two sources: 1) FRPP data reported directly to CDC and 2) jurisdictional immunization information systems data reported to CDC from all 50 states, the District of Columbia, U.S. territories, and freely associated states. Among 59.8 million COVID-19 bivalent vaccine doses administered in the United States during this period, 40.5 million (67.7%) were administered by FRPP partners. The proportion of COVID-19 bivalent doses administered by FRPP partners ranged from 5.9% among children aged 6 months-4 years to 70.6% among adults aged 18-49 years. Among some racial and ethnic minority groups (e.g., Hispanic or Latino, non-Hispanic Black or African American, non-Hispanic Native Hawaiian or other Pacific Islander, and non-Hispanic Asian persons), ≥45% of COVID-19 bivalent vaccine doses were administered by FRPP partners. Further, in urban and rural areas, FRPP partners administered 81.6% and 60.0% of bivalent vaccine doses, respectively. The FRPP partnership administered approximately two thirds of all bivalent COVID-19 vaccine doses in the United States and provided vaccine access for persons across a wide range of sociodemographic groups, demonstrating that this program could serve as a model to address vaccination services needs for routine vaccines and to provide health services in other public health emergencies.

The physician experience of patient to provider prejudice (PPtP).

Background: Patients can demonstrate prejudice and bias toward minoritized physicians in a destructive dynamic identified as PPtP (Patient Prejudice toward Providers). These interactions have a negative impact on the physical and mental well-being of both those who are targeted and those who witness such behaviors. Study purpose: The purpose of this study was to explore the PPtP experiences of attending physicians who identify as a minority based on race, ethnicity, citizenship status, or faith preference. Methods: Qualitative methodology was used to collect data using in-depth interviews. 15 attending physicians (8 male, 7 female, aged 33-55 years) who identified as minorities based on ethnicity, citizenship status, or faith practices were interviewed individually. Interviews were conducted using a guide validated in previous studies and content analysis was performed by two trained researchers to identify themes. Results: Five themes were identified: A Continuum of Offenses, Professional Growth through Adversity, Organizational Issues, Role of Colleagues, and Consequences for Provision of Care. Findings suggest that although attending physicians learned to cope with PPtP, the experience of being treated with bias negatively impacted their well-being and work performance. Attending physicians also felt that white majority medical students sometimes treated them with prejudice but expressed a commitment to protecting vulnerable trainees from PPtP. Conclusion: The experience of PPtP occurs consistently throughout a career in medicine, often beginning in the years of training and persisting into the phase of attending status. This makes it imperative to include strategies that address PPtP in order to successfully recruit and retain minoritized physicians.

A Qualitative Analysis of Knowledge Levels, Perceived Susceptibility, and Perceived Severity Surrounding Anal Cancer and Human Papillomavirus.

INTRODUCTION: When examining health literacy and disease specific knowledge levels across ethnicities and communities, ethnic minority groups are known to be at a higher risk of being below the average health literacy threshold which is a factor linked to poor health status and higher mortality rates. This study examined disease specific knowledge levels, perceived severity, and perceived susceptibility surrounding anal cancer and HPV-related screening behaviors. METHODS: The following research questions were explored: (1) "What are the common themes and/or beliefs when asked about anal cancer, HPV, and preventive screening?" and (2) "What are the common themes and beliefs surrounding the severity and susceptibility of contracting anal cancer?". This study utilized a cross-sectional design to survey 26 individuals regarding their knowledge level and perspectives regarding anal cancer and HPV. An 8-question survey was developed de novo based on an application of the Health Belief Model (HBM) elements. This study employed thematic analysis to explore critical themes to construct a model to understand knowledge levels, attitudes, and risk perceptions regarding anal cancer and intention to participate in preventive screenings. The fundamental attitudes and themes related to anal cancer risk and intention to participate in preventative screenings were elicited using a qualitative descriptive technique. Coded data was utilized to analyze themes based on (1) knowledge and (2) perceived risk, both severity and susceptibility. RESULTS: Overall, the findings indicate very low levels of knowledge regarding screening, anal cancer, and HPV across all genders. The low levels of anal cancer and HPV knowledge were seen in 13 coded segments (50% of surveys) which showed no familiarity with or comprehension of HPV, and 4 coded segments indicated no familiarity with anal cancer. In addition, 15 respondents (57%) had low or no preventive or screening-related knowledge. While some respondents (46%) illustrated high perceived severity for anal cancer, only 23% indicated high perceived susceptibility for anal cancer. CONCLUSION: The results from this study may be used to inform practitioners, providers, and policymakers in developing interventions addressing low levels of understanding and disease specific knowledge surrounding anal cancer in support of creating a standardized health screening procedure.

Disparities in Race and Ethnicity Reporting and Representation for Clinical Trials in Stroke: 2010 to 2020.

BACKGROUND: Racial and ethnic minority groups are at a higher stroke risk and have poor poststroke outcomes. The aim of this study was to assess the frequency of race reporting and proportions of race and ethnicity representation in stroke-related clinical trials. METHODS AND RESULTS: This is a descriptive study of stroke-related clinical trials completed between January 1, 2010 and December 31, 2020, and registered on ClinicalTrials.gov. Trials conducted in the United States, related to stroke and enrolling participants ≥18 years, were considered eligible. Trials were reviewed for availability of published results, data on race and ethnicity distribution, and trial characteristics. Overall, 60.1% of published trials reported race or ethnicity of participants, with a 2.6-fold increase in reporting between 2010 and 2020. White patients represented 65.0% of the participants, followed by 24.8% Black, 2.4% Asian or Pacific Islander, and <1% Native American and multiracial participants; 9.0% were of Hispanic ethnicity. These trends remained consistent throughout the study period, except in 2018, when a higher proportion of Black participants (53.1%) was enrolled compared with White participants (35.8%). Trials with the National Institutes of Health/federal funding had higher enrollment of Black (28.1%) and Hispanic (13.8%) participants compared with other funding sources. Behavioral intervention trials had the most diverse enrollment with equal enrollment of Black and White participants (41.1%) and 14.5% Hispanic participants. CONCLUSIONS: Despite the increase in race and ethnicity reporting between 2010 and 2020, the representation of racial and ethnic minority groups remains low in stroke trials. Funding initiatives may influence diversity efforts in trial enrollment.

Effect of Patient Navigation on Completion of Lung Cancer Screening in Vulnerable Populations.

BACKGROUND: Although low-dose, CT-based lung cancer screening (LCS) can decrease lung cancer mortality in high-risk individuals, the process may be complex and pose challenges to patients, particularly those from minority underinsured and uninsured populations. We conducted a randomized controlled trial of telephone-based navigation for LCS within an integrated, urban, safety-net health care system. PATIENTS AND METHODS: Patients eligible for LCS were randomized (1:1) to usual care with or without navigation at Parkland Health in Dallas, Texas. The primary endpoint was completion of the first 3 consecutive steps in a patient's LCS process. We explored differences in completion of LCS steps between navigation and usual care groups, controlling for patient characteristics using the chi-square test. RESULTS: Patients (N=447) were randomized to either navigation (n=225) or usual care (n=222). Mean patient age was 62 years, 46% were female, and 69% were racial/ethnic minorities. There was no difference in completion of the first 3 steps of the LCS algorithm between arms (12% vs 9%, respectively; P=.30). For ordered LCS steps, completion rates were higher among patients who received navigation (86% vs 79%; P=.03). The primary reason for step noncompletion was lack of order placement. CONCLUSIONS: In this study, lack of order placement was a key reason for incomplete LCS steps. When orders were placed, patients who received navigation had higher rates of completion. Clinical team education and enhanced electronic health record processes to simplify order placement, coupled with patient navigation, may improve LCS in safety-net health care systems.

Geographic disparity in the distribution of cancer clinical trials in the United States and the associated factors.

BACKGROUND: Little is known regarding the geographic disparity in the distribution of phase 1-3 clinical trials of new cancer treatments in the US and the associated factors. OBJECTIVE: To examine county-level variation in the number of phase 1-3 cancer clinical trials and the associations between county characteristics and having phase 1-3 cancer clinical trials. METHODS: We identified phase 1-3 cancer clinical trials started in the US between January 2008 and December 2022 from the Aggregate Analysis of ClinicalTrials.gov database. We analyzed the distribution of phase 1-3 cancer clinical trials at the county level. Using a mixed-effects regression with states as random intercepts, we estimated the associations between a county's median age, median household income, percentage of population from racial and ethnic minority groups, proportion of population aged 25 years or older with an educational attainment of bachelor's degree or higher, rurality, cancer incidence rate, and number of medical oncologists per population with having any phase 1-3 cancer clinical trial in a county. RESULTS: After excluding trials that were suspended, terminated, and withdrawn, a total of 14,977 phase 1-3 cancer clinical trials started in the United States between January 2008 and December 2022 were included in the primary analysis. Only 1,333 out of 3,143 counties (42.4%) had 1 or more trial during this period. Counties that were rural, with lower median household income, a less educated population, fewer medical oncologists per population, and lower cancer incidence rates demonstrated a significantly lower likelihood of having phase 1-3 cancer clinical trials. CONCLUSIONS: Our study revealed substantial geographic disparities in the distribution of phase 1-3 cancer clinical trials. Limited trial availability in low-income, low-education, low-oncologist, and rural areas can be a significant barrier to patient participation, potentially hindering adoption and worsening outcomes in disadvantaged populations.

Projected Impact of Omidubicel-onlv on Racial/Ethnic Disparities in Allogeneic Hematopoietic Cell Transplantation (Allo-HCT) Outcomes in Hematologic Malignancies.

INTRODUCTION: In a phase III clinical trial (NCT02730299), omidubicel-onlv, a nicotinamide-modified allogeneic hematopoietic progenitor cell therapy, showed rapid hematopoietic and immune recovery compared with standard umbilical cord blood (UCB) transplant across all racial/ethnic groups. METHODS: A decision-tree model was used to project the effect of omidubicel-onlv availability on addressing health disparities in allogeneic hematopoietic cell transplantation (allo-HCT) access and outcomes for patients with hematologic malignancies. The model used a hypothetical population of 10,000 allo-HCT-eligible US adults, for whom matched related donors were not available. Patients received matched or mismatched unrelated donor, haploidentical, UCB transplant, or no transplant. Scenarios with omidubicel-onlv use of 0% (status quo), 10%, 15%, 20%, and 30% were modeled on the basis of proportional reductions in other allo-HCT sources or no transplant by racial/ethnic group. RESULTS: Increased omidubicel-onlv use was associated with a higher proportion of patients undergoing allo-HCT, decreased time to allo-HCT, decreased 1-year non-relapse mortality, and increased 1-year overall survival, particularly among racial minorities. In the scenario modeling 20% omidubicel-onlv use, the proportion of Black patients receiving allo-HCT increased by 129%; increases were also observed in Asian (64%), Hispanic (45%), and other (42%) patient groups. Modeled time to allo-HCT improved among transplanted patients (23%) from 11.4 weeks to 8.8 weeks. One-year OS in the overall population increased by 3%, with improvements ranging from 3% for White patients to 5% for Black patients. CONCLUSION: This study demonstrates that broad access to omidubicel-onlv could increase access to allo-HCT and improve outcomes for patients, with the greatest benefits seen among racial/ethnic minority groups.

Birth Prevalence of Sickle Cell Disease and County-Level Social Vulnerability - Sickle Cell Data Collection Program, 11 States, 2016-2020.

Sickle cell disease (SCD) remains a public health priority in the United States because of its association with complex health needs, reduced life expectancy, lifelong disabilities, and high cost of care. A cross-sectional analysis was conducted to calculate the crude and race-specific birth prevalence for SCD using state newborn screening program records during 2016-2020 from 11 Sickle Cell Data Collection program states. The percentage distribution of birth mother residence within Social Vulnerability Index quartiles was derived. Among 3,305 newborns with confirmed SCD (including 57% with homozygous hemoglobin S or sickle ß-null thalassemia across 11 states, 90% of whom were Black or African American [Black], and 4% of whom were Hispanic or Latino), the crude SCD birth prevalence was 4.83 per 10,000 (one in every 2,070) live births and 28.54 per 10,000 (one in every 350) non-Hispanic Black newborns. Approximately two thirds (67%) of mothers of newborns with SCD lived in counties with high or very high levels of social vulnerability; most mothers lived in counties with high or very high levels of vulnerability for racial and ethnic minority status (89%) and housing type and transportation (64%) themes. These findings can guide public health, health care systems, and community program planning and implementation that address social determinants of health for infants with SCD. Implementation of tailored interventions, including increasing access to transportation, improving housing, and advancing equity in high vulnerability areas, could facilitate care and improve health outcomes for children with SCD.

Sociodemographic disadvantage in the burden of stress and academic performance in medical school: implications for diversity in medicine.

BACKGROUND: Nontraditional students bring to medicine inherent characteristics and perspectives that enrich the learning environment and contribute to expanding diversity in medicine. However, research has shown that these students, by virtue of their sociodemographic backgrounds, face unique challenges in medical education, which ultimately place them at a disadvantage compared to their peers. The purpose of this study is to explore relationships between sociodemographic characteristics, stress, and academic performance, in the context of outcomes that may be undermining efforts to diversify the physician workforce. METHODS: Using a retrospective observational cohort methodology, we examined institutional and USMLE exam performance data in conjunction with Perceived Stress Scale-4 survey results from six cohorts of students at Kirk Kerkorian School of Medicine at UNLV (n = 358). Using independent samples t-test, mean stress and academic performance were compared between four sociodemographic groups: first-generation college students, underrepresented in medicine (URM), socioeconomically disadvantaged, and age 30 + at matriculation. Results were considered significant where P ≤ .05. RESULTS: First-generation college students had significantly higher stress at the end of third year clerkships (mean 7.8 vs. 6.8, P* = .03). URM students had significantly lower scores on preclinical exams (mean 81.37 vs. 83.07, P* = .02). The students who were age 30 + at matriculation had significantly lower exam scores on all academic performance measures. CONCLUSION: Our results echo historic trends in academic performance for racial and ethnic minority students, and we present recent evidence of academic performance disparities based on age at matriculation. Residency program directors continue to use test scores as a primary metric to screen applicants and thus, poor academic performance has profound consequences on career trajectory. Finally, significantly higher stress in the first-generation students may be evidence of underlying psychological distress. Expanding the sociodemographic diversity among physicians, and by extension, medical students, has long been recognized as fundamental to addressing inequities in healthcare. However, results from our study suggest that aspects of medical education are unfavorable and disadvantageous for first-generation, URM, and older medical students. A deeper understanding of the interplay between sociodemographic characteristics and success in medical school is paramount as we pursue diversity in medicine.