Marketing mental health services: a mixed-methods analysis of racially and ethnically diverse college students' engagement with and perspectives on U.S. university mental health clinics' websites.

BACKGROUND: The United States (U.S.) faces a significant mental health crisis, with around 52.9 million adults experiencing mental health disorders, with young adults (18-25 years old), such as college students, having the highest prevalence and lowest service utilization rates. While efforts to expand mental health services through "push" strategies are in place (e.g., training therapists in evidence-based therapies), limited initial engagement suggests a need for "pull strategies" and targeted marketing that make services attractive to college students and increase demand. This mixed-methods study identifies U.S. university mental health clinic websites and website characteristics that are attractive and engaging to college students interested in seeking mental health services (i.e., students were considering or actively looking for mental health support). METHODS: Eleven U.S. university websites were chosen (10 randomly and one from the university where students were attending) from a pool of 44 Psychological Clinical Science Accreditation System training clinics websites. Fifty-seven college students (Mage = 20.95, SD = 2.97; 81% female; 68% racial/ethnic minority) were videorecorded engaging with two U.S. university mental health clinic websites, completed self-report engagement measures, and gave detailed feedback about websites through semi-structured interviews. RESULTS: Likert scale scores revealed moderate engagement with all websites (e.g., they were interesting and helpful). Qualitative results indicated that websites that provided important and easily understood information about key features of services (e.g., types, evidence-base, and cost), therapist backgrounds, psychoeducation, used lay language, and had an appealing website layout (e.g., color, font, images, organization, and interactive components) generated greater consumer interest and trust in their mental health services. CONCLUSIONS: This study emphasizes the importance of using marketing strategies to enhance college students' engagement through mental health service websites. Salient features, psychoeducation, and effective promotional strategies (e.g., how information is presented) were identified as crucial for website engagement and subsequent mental health service uptake. Using marketing strategies, such as tailoring language to consumer literacy levels, describing the evidence-base of services, and improving website design may address college students' needs and enhance initial mental health service engagement.

Cognitive Difficulty in Middle Eastern and North African Adults Living in the United States Compared With Other Racial and Ethnic Categories, 2017-2021.

Objectives. To estimate the odds of having cognitive difficulties among Middle Eastern and North African (MENA) American adults and compare these odds with those of White, Black, Hispanic/Latino, Asian, American Indian or Alaska Native (AI/AN), and Native Hawaiian/Other Pacific Islander adults nationally and in the 4 states with the largest MENA populations (California, New York, Michigan, and Texas) after adjusting for sociodemographic factors. Methods. We analyzed 2017-2021 American Community Survey data (aged ≥ 45 years; n = 7 284 988), comparing presence of cognitive difficulties by race/ethnicity. Results. MENA adults had greater odds of reporting cognitive difficulties than did White (odds ratio [OR] = 1.49; 95% confidence interval [CI] = 1.42, 1.56), Black (OR = 1.20; 95% CI = 1.14, 1.26), Hispanic (OR = 1.46; 95% CI = 1.39, 1.53), Asian (OR = 1.31; 95% CI = 1.25, 1.38), and AI/AN (OR = 1.07; 95% CI = 1.01, 1.14) adults. In all 4 states, odds of having cognitive difficulties were higher among MENA than Asian adults. Other racial/ethnic comparisons differed by state. Conclusions. A separate checkbox for MENA Americans approved by the Office of Management and Budget is important so health outcomes can be studied in more detail and funds can be allocated for research and resources at state and national levels. (Am J Public Health. 2024;114(11):1265-1274. https://doi.org/10.2105/AJPH.2024.307803).

Referral Sources Across Racial and Ethnic Groups at Alzheimer's Disease Research Centers.

Background: Despite the need to increase engagement of underrepresented groups (URG) in Alzheimer's disease and related dementias (ADRD) studies, enrollment remains low. Objective: Compare referral sources across racial and ethnic groups among participants enrolled in ADRC studies. Methods: Data for this cross-sectional secondary analysis were extracted from the National Alzheimer's Coordinating Center Uniform Data Set. We performed mixed effects logistic regression models using generalized estimating equations for professional referral versus non-professional referral by racial and ethnic group, adjusted for age, gender, education, visit year, and Clinical Dementia Rating scale (CDR) with a random effect for study site. Results: Included in the analysis were 48,330 participants across 46 ADRCs (mean [SD] age, 71.3 [10.5] years; 20,767 female [57%]; 4,138 Hispanic [8.6%]; 1,392 non-Hispanic Asian [2.9%]; 6,766 non-Hispanic Black [14%] individuals; and 676 individuals [1.4%] of other races. Non-Hispanic Black and Asian participants had lower odds of being referred by a professional contact compared to non-Hispanic White participants (Black: adjusted OR = 0.61, 95% CI = 0.44-0.86, p = 0.005; Asian: adjusted OR = 0.65, 95% CI, p = 0.004). In participants who had completed an MRI, there was no significant difference in referral source across ethnic and racial groups. Conclusions: Further studies are needed to better understand the systemic and structural factors that contribute to differences in referral sources and disparities in recruitment of URG into ADRD studies.

Automatic Enrollment in Patient Portal Systems Mitigates the Digital Divide in Healthcare: An Interrupted Time Series Analysis of an Autoenrollment Workflow Intervention.

PURPOSE: Racial and ethnic healthcare disparities require innovative solutions. Patient portals enable online access to health records and clinician communication and are associated with improved health outcomes. Nevertheless, a digital divide in access to such portals persist, especially among people of minoritized race and non-English-speakers. This study assesses the impact of automatic enrollment (autoenrollment) on patient portal activation rates among adult patients at the University of California, San Francisco (UCSF), with a focus on disparities by race, ethnicity, and primary language. MATERIALS AND METHODS: Starting March 2020, autoenrollment offers for patient portals were sent to UCSF adult patients aged 18 or older via text message. Analysis considered patient portal activation before and after the intervention, examining variations by race, ethnicity, and primary language. Descriptive statistics and an interrupted time series analysis were used to assess the intervention's impact. RESULTS: Autoenrollment increased patient portal activation rates among all adult patients and patients of minoritized races saw greater increases in activation rates than White patients. While initially not statistically significant, by the end of the surveillance period, we observed statistically significant increases in activation rates in Latinx (3.5-fold, p = < 0.001), Black (3.2-fold, p = 0.003), and Asian (3.1-fold, p = 0.002) patient populations when compared with White patients. Increased activation rates over time in patients with a preferred language other than English (13-fold) were also statistically significant (p = < 0.001) when compared with the increase in English preferred language patients. CONCLUSION: An organization-based workflow intervention that provided autoenrollment in patient portals via text message was associated with statistically significant mitigation of racial, ethnic, and language-based disparities in patient portal activation rates. Although promising, the autoenrollment intervention did not eliminate disparities in portal enrollment. More work must be done to close the digital divide in access to healthcare technology.

Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic.

Importance: The end of the COVID-19 public health emergency (PHE) provides an opportunity to fully describe pandemic-associated racial and ethnic mortality disparities. Age-specific excess mortality differences have important downstream implications, especially in minoritized race and ethnicity populations. Objectives: To characterize overall and age-specific all-cause excess mortality by race and ethnicity during the COVID-19 PHE and assess whether measured differences reflected changes from prepandemic disparities. Design, Setting, and Participants: This cross-sectional study analyzed data of all US residents and decedents during the COVID-19 PHE, aggregated by observed race and ethnicity (at time of death) and age. Statistical analysis was performed from March 2020 to May 2023. Exposures: COVID-19 PHE period (March 2020 to May 2023). Main Outcomes and Measures: All-cause excess mortality (incident rates, observed-to-expected ratios) and all-cause mortality relative risks before and during the PHE. Results: For the COVID-19 PHE period, data for 10 643 433 death certificates were available; mean (SD) decedent age was 72.7 (17.9) years; 944 318 (8.9%) were Hispanic; 78 973 (0.7%) were non-Hispanic American Indian or Alaska Native; 288 680 (2.7%) were non-Hispanic Asian, 1 374 228 (12.9%) were non-Hispanic Black or African American, 52 905 (0.5%) were non-Hispanic more than 1 race, 15 135 (0.1%) were non-Hispanic Native Hawaiian or Other Pacific Islander, and 7 877 996 (74.1%) were non-Hispanic White. More than 1.38 million all-cause excess deaths (observed-to-expected ratio, 1.15 [95% CI, 1.12-1.18]) occurred, corresponding to approximately 23 million years of potential life lost (YPLL) during the pandemic. For the total population (all ages), the racial and ethnic groups with the highest observed-to-expected all-cause mortality ratios were the American Indian or Alaska Native (1.34 [95% CI, 1.31-1.37]) and Hispanic (1.31 [95% CI, 1.27-1.34]) populations. However, higher ratios were observed in the US population aged 25 to 64 years (1.20 [95% CI, 1.18-1.22]), greatest among the American Indian or Alaska Native (1.45 [95% CI, 1.42-1.48]), Hispanic (1.40 [95% CI, 1.38-1.42]), and Native Hawaiian or Other Pacific Islander (1.39 [95% CI, 1.34-1.44]) groups. In the total population aged younger than 25 years, the Black population accounted for 51.1% of excess mortality, despite representing 13.8% of the population. Had the rate of excess mortality observed among the White population been observed among the total population, more than 252 000 (18.3%) fewer excess deaths and more than 5.2 million (22.3%) fewer YPLL would have occurred. Conclusions and Relevance: In this cross-sectional study of the US population during the COVID-19 PHE, excess mortality occurred in all racial and ethnic groups, with disparities affecting several minoritized populations. The greatest relative increases occurred in populations aged 25 to 64 years. Documented differences deviated from prepandemic disparities.

Racial Differences in Pain Assessment and False Beliefs About Race in AI Models.

This comparative effectiveness research study examines the association between racial differences in pain assessment and false beliefs about biologization of race by large language models compared with a human baseline.

High-Deductible Health Insurance May Exacerbate Racial And Ethnic Wealth Disparities.

This study examined the equity implications of high-deductible health plans within the context of racial and ethnic wealth disparities. Using restricted data from the Medical Expenditure Panel Survey, we evaluated the net worth (in 2011-18) and financial assets (in 2011-16) of families with private insurance and those in high-deductible health plans with and without an associated health savings account. Our results represent, to our knowledge, the first estimates of racial and ethnic wealth disparities within these populations. Results show that White households consistently held significantly more wealth than did Black and Hispanic households across income levels. In the lowest income quartile, White privately insured families had more than 350 percent more in financial assets than their Black counterparts. Low-income Black and Hispanic families with high-deductible health plans but no savings accounts had median financial assets ($2,200 and $2,000, respectively) that were well below the average family coverage deductible. Study findings highlight the role of systemic racial wealth disparities, beyond that of income, to establish a unique pathway whereby high deductibles can exacerbate health care inequities.

A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes.

Racial and ethnic minorities bear a disproportionate burden of type 2 diabetes (T2D) and its complications, with social determinants of health (SDoH) recognized as key drivers of these disparities. Implementing efficient and effective social needs management strategies is crucial. We propose a machine learning analytic pipeline to calculate the individualized polysocial risk score (iPsRS), which can identify T2D patients at high social risk for hospitalization, incorporating explainable AI techniques and algorithmic fairness optimization. We use electronic health records (EHR) data from T2D patients in the University of Florida Health Integrated Data Repository, incorporating both contextual SDoH (e.g., neighborhood deprivation) and person-level SDoH (e.g., housing instability). After fairness optimization across racial and ethnic groups, the iPsRS achieved a C statistic of 0.71 in predicting 1-year hospitalization. Our iPsRS can fairly and accurately screen patients with T2D who are at increased social risk for hospitalization.

Risk and Protective Factors for Preterm Birth Among Racial, Ethnic, and Socioeconomic Groups in California.

Importance: Preterm birth (PTB) (gestational age <37 weeks) is a major cause of infant mortality and morbidity in the US and is marked by racial and ethnic and socioeconomic inequities. Further research is needed to elucidate the association of risk and protective factors with trends in PTB rates and with related inequities. Objective: To describe the association of PTB rates with inequities as well as related risk and protective factors over the past decade in a US population-based cohort. Design, Setting, and Participants: This retrospective cohort study of singleton live births in California from January 1, 2011, to December 31, 2022, was conducted using vital statistics records and hospital records. The cohort included births with a gestational age of 22 to 44 weeks. Main Outcomes and Measures: Preterm birth rates by racial and ethnic group and by public and nonpublic insurance (considered as a proxy for socioeconomic status) were studied across years. Log-linear regression (relative risks with 95% CIs) was used to evaluate risk and protective factors within groups. Associations of PTB rates with risk and protective factors were assessed. Results: This study included 5 431 018 singleton live births to individuals who identified as American Indian or Alaska Native (0.3%), Asian (14.2%), Black (4.9%), Hispanic (47.8%), or White (27.0%). A total of 43.1% of births were to individuals with public health insurance. From 2011 to 2022, the overall PTB rate increased from 6.8% to 7.5% (change [SE], 10.6% [0.6%]; z score of 18.5; P < .001). Differences in PTB rates and associated changes were observed for racial and ethnic groups and insurance groups. For example, 2022 PTB rates ranged from 5.8% among White individuals with nonpublic insurance to 11.3% among Black individuals with public health insurance. From 2011 to 2022, PTB rates decreased from 9.1% to 8.8% (change [SE], -3.5% [4.2]; z score of -0.8; P = .42) among Black individuals with nonpublic insurance, whereas they increased from 6.4% to 9.5% (change [SE], 49.8% [16.0%]; z score of 3.1; P = .002) among American Indian or Alaska Native individuals with nonpublic insurance. Increases in some risk factors (eg, preexisting diabetes, sexually transmitted infections, mental health conditions) were observed in most groups, and decreases in some protective factors (eg, participation in the California Women, Infants, and Children program) (P for trend < .001 from 2011 to 2021) were observed mostly in low-income groups. Conclusions and Relevance: In this cohort study of singleton live births in California, PTB rates increased in many groups. Persistent racial and ethnic and socioeconomic inequities were also observed. Changes in risk and protective factors provided clues to patterns of PTB. These data point to an urgent need to address factors associated with PTB at both the individual and population levels.

Disparities in Dual-energy X-ray Absorptiometry Scan Utilization Across Race/Ethnic Groups Before and After Hip Fractures.

BACKGROUND: Geriatric hip fractures are common and important sentinel events regarding bone health. Although dual x-ray absorptiometry (DEXA) scans are a standard method for determining bone density, differences in use among various race/ethnic groups around the time of hip fracture may reveal disparities within the healthcare system. METHODS: The 2014 to 2016 Medicare Standard Analytic Files PearlDiver data set was used to identify geriatric patients sustaining hip fracture. From that cohort, those who had a DEXA scan before or after their fracture were defined. For the defined cohorts, patient age, sex, Elixhauser Comorbidity Index, race/ethnicity, and income (based on zip code) were defined and compared with univariate and multivariate analyses. RESULTS: Of 58,099 hip fracture patients, only 19.8% had had a DEXA scan before fracture and 3.9% of the remaining group had the DEXA scan after fracture. Of the hip fracture population, 91.0% identified as White and 9.0% as non-White (Native American, Black, Hispanic, Asian, or Other). Before hip fracture, controlling for other variables and compared with White patients, all non-White categories were at lesser odds of having had the DEXA scan. After hip fracture, Black, Hispanic, and other patients were also at lesser odds of having the DEXA scan. DISCUSSION: Using a large Medicare data set, controlling for patient age, sex, Elixhauser Comorbidity Index, and income marker, this study revealed disparities in DEXA scan utilization across race/ethnic groups before and after presenting with a hip fragility fracture. Identification of such disparities highlights the needs for improved medical access and care for this at-risk hip fracture population.

Racial and Ethnic Disparities in Preventive Service Use Among Adults Before and During the COVID-19 Pandemic.

Our objective was to assess changes in preventive services use before and during the COVID-19 pandemic. We obtained secondary survey data from the National Health Interview Survey for 2019 and 2021. We examined, six preventive services among all adults. Descriptive and multivariate analyses assessed changes in preventive service use among adults and by race/ethnicity for 2019 and 2021 (drawing from an unweighted sample of 60 843 weighted to be 386.2 million across both years). We used Ordinary least squares estimation to conduct a difference-in-differences analysis that assessed changes in service use for non-white racial/ethnic groups relative to changes for white non-Hispanic adults between 2019 and 2021. We found preventive services use declined overall for each screening service assessed. Asian adults experienced the largest declines relative to white adults for "well visit within the last year" (-7.45 percentage points (pp) relative to white adults), "blood pressure screening within the last year" (-7.85 pp), and "mammograms within the last year" (-12.3 pp). While adults in other racial/ethnic groups did not experience significant declines in preventive services use relative to white adults between 2019 and 2021, pre-existing disparities remained for Hispanic and American Indian/Alaska Native (AIAN) adults compared to white adults. In conclusion, preventive service use declined in the first years of the COVID-19 public health emergency, and existing disparities in access for Hispanic and AIAN adults continued. Future research should investigate barriers Asian adults may face in obtaining access to preventive services after the conclusion of the public health emergency and federal pandemic-related protections.

Use of Hematopoietic Cell Transplant for Hematologic Cancers by Race, Ethnicity, and Age.

Importance: Utilization of hematopoietic cell transplantation (HCT) for hematologic cancers previously demonstrated race, ethnicity, and age-based disparities. Objective: To evaluate utilization over time by race, ethnicity, and age to determine if disparities persist in light of recent significant increases in HCT volume. Design, Setting, and Participants: This US population-based retrospective cohort study includes patients who received transplants from January 2009 to December 2018. Data collection and cleaning occurred from February 2019 to November 2021, and data analysis occurred from January 2022 to October 2023. Method 1 restricted the analysis to Surveillance, Epidemiology and End Results (SEER) reporting areas for cases and transplants. Method 2 applied SEER age-, race-, and ethnicity-specific incidence rates to corresponding US census population and included all transplants reported to the Center for International Blood and Marrow Transplant Research. Race and ethnicity groups were hierarchically defined as Hispanic (any race), non-Hispanic White, non-Hispanic Black, and non-Hispanic Other (Asian and American Indian). Exposure: Receipt of HCT. Main Outcomes and Measures: Utilization rate of autologous or allogeneic HCT for patients with hematologic cancers by age, race, and ethnicity. Results: From 2009 to 2018, 136 280 HCTs were analyzed for 6 hematologic cancers comprising 16.7% pediatric/adolescent/young adults (0-39 years), 83.3% adults (40-84 years), 58% male, 10.3% Hispanic, 11.4% non-Hispanic Black, 3.8% non-Hispanic Other, and 74.5% non-Hispanic White patients, with 49 385 allogeneic and 86 895 autologous HCTs performed. HCT utilization increased over time for all disease, age, race, and ethnic groups. From 2017 to 2018, adult (40-84 years) allogeneic transplant utilization for acute myeloid leukemia and myelodysplastic syndrome (MDS) was similar for Hispanic and non-Hispanic White or Other patients but was lower for non-Hispanic Black patients (acute myeloid leukemia: 19% vs 13%; MDS: 9%-10% vs 5%). Similarly, autologous transplant utilization for lymphoma was similar for all race and ethnicity groups; however, autologous transplant for multiple myeloma was highest for non-Hispanic White patients and lower for all other groups (31% vs 26%-27%). In patients aged 0 to 39 years, utilization of allogeneic transplant for acute lymphoblastic leukemia was highest in Hispanic patients, followed by non-Hispanic White, Black, and Other races (acute lymphoblastic leukemia: 19%, 18%, 17%, and 16%, respectively). Conclusions and Relevance: In this cohort study of autologous and allogeneic transplant utilization for hematologic cancers, disparities persisted for non-Hispanic Black patients. Hispanic, non-Hispanic Other, and younger age groups had increased utilization over time that was on par with non-Hispanic White patients in the most recent cohort.

Cardiovascular equity and health center funding: Associations of unmet hypertension and diabetes need by race/ethnicity and federal grants at federally qualified health centers, 2014-2019.

IMPORTANCE: Racial and ethnic disparities in chronic disease are a major public health priority. OBJECTIVE: To determine if the amount of federal grant funding to federally-qualified health centers (FQHCs) was associated with baseline overall prevalence of uncontrolled hypertension and uncontrolled diabetes, as well as prevalence by racial and ethnic subgroup. DESIGN: Cross-sectional multivariate regression analysis of Uniform Data System 2014-2019, which includes clinic-level data from each FQHC regarding demographics, chronic disease control by race and ethnicity, and grant funding. EXPOSURES: Our main exposure were the average values of the prevalence of uncontrolled hypertension and uncontrolled diabetes among the overall population and by racial and ethnic group from 2014-2016. MAIN OUTCOMES: Average federal grant funding per patient from 2017-2019, as measured by annual health center funding from the Bureau of Primary Health Care (BPHC) and overall federal grant funding. RESULTS: We analyzed 1,205 FQHCs from 2014-2019; the average BPHC grant per patient across all FQHCs in 2019 was $168 while the average total federal grant was $184 per patient. Increasing shares of total patients with uncontrolled hypertension or uncontrolled diabetes were not associated with increased total federal grant funding in either unadjusted or adjusted analysis. Increased shares of patients who are American Indian or Alaskan Native (AI-AN) with uncontrolled hypertension and diabetes were associated with increasing total federal grant funding in both unadjusted and adjusted analysis (adjusted beta hypertension $168.3, p <0.001; adjusted beta diabetes 59.44, p = 0.02). However, cardiovascular clinical need among other racial and ethnic groups was not significantly associated with grant funding. CONCLUSIONS: FQHCs with higher overall rates of uncontrolled hypertension or diabetes do not receive more federal funds, and there is no significant association between federal funding levels and rates of uncontrolled blood pressure or diabetes within most racial and ethnic groups, with the exception of AI-AN populations. To narrow inequities in cardiovascular disease, HRSA should consider more explicitly targeting federal grants to clinics with higher levels of clinical need.

Stroke Death Rates Among Adults Ages 45-64 by Region and Race and Hispanic Origin: United States, 2002-2022.

Introduction: This Data Brief presents trends in stroke death rates among people ages 45-64, in total and by sex, for 2002 to 2022. Trends are also presented for men and women by region (Northeast, Midwest, South, and West) from 2002 to 2022. For 2022, stroke death rates are presented for men and women by race and Hispanic origin within each region. Methods: Mortality data for 2002-2017 are from the National Center for Health Statistics' 1999-2020 Underlying Cause of Death by Bridged-Race Categories and data for 2018-2022 are from the 2018-2022 Underlying Cause of Death by Single-Race Categories. Stroke deaths are for people ages 45-64 and are identified by International Classification of Diseases, 10th Revision underlying cause-of-death codes I60-I69. The four regions of the United States are: Northeast, Midwest, South, and West. The four race and Hispanic-origin groups in this report are: Asian non-Hispanic; Black non-Hispanic; White non-Hispanic, and Hispanic. These groups had at least 20 stroke deaths among men and women in all regions to compute reliable rates. Line trends were evaluated using the National Cancer Institute's Joinpoint Regression Program. Pairwise comparisons were tested using the z test statistic at p < 0.05. Key findings: After declines between 2002 and 2012, stroke death rates for adults ages 45-64 increased 7% between 2012 (20.2 per 100,000) and 2019 (21.7) and an additional 12% through 2021 (24.4). Throughout the period, the highest stroke death rates for both men and women were in the South and the lowest were in the Northeast. In each region, differences in stroke death rates by race and Hispanic origin were seen, as Black men and women had rates that were at least twice those of all other groups.

Place-based, intersectional variation in caregiving patterns and health outcomes among informal caregivers in the United States.

Introduction: Informal caregiving is a critical component of the healthcare system despite numerous impacts on informal caregivers' health and well-being. Racial and gender disparities in caregiving duties and health outcomes are well documented. Place-based factors, such as neighborhood conditions and rural-urban status, are increasingly being recognized as promoting and moderating health disparities. However, the potential for place-based factors to interact with racial and gender disparities as they relate to caregiving attributes jointly and differentially is not well established. Therefore, the primary objective of this study was to jointly assess the variability in caregiver health and aspects of the caregiving experience by race/ethnicity, sex, and rural-urban status. Methods: The study is a secondary analysis of data from the 2021 and 2022 Behavioral Risk Factor Surveillance System (BRFSS) from the Centers for Disease Control and Prevention. Multivariable logistic regression or Poisson regression models assessed differences in caregiver attributes and health measures by demographic group categorized by race/ethnicity, sex, and rural-urban status. Results: Respondents from rural counties were significantly more likely to report poor or fair health (23.2% vs. 18.5%), have obesity (41.5% vs. 37.1%), and have a higher average number of comorbidities than urban caregivers. Overall, rural Black male caregivers were 43% more likely to report poor or fair health than White male caregivers (OR 1.43, 95% CI 1.21, 1.69). Urban female caregivers across all racial groups had a significantly higher likelihood of providing care to someone with Alzheimer's disease than rural White males (p < 0.001). Additionally, there were nuanced patterns of caregiving attributes across race/ethnicity*sex*rural-urban status subgroups, particularly concerning caregiving intensity and length of caregiving. Discussion: Study findings emphasize the need to develop and implement tailored approaches to mitigate caregiver burden and address the nuanced needs of a diverse population of caregivers.

Error Rates in Race and Ethnicity Designation Across Large Pediatric Health Systems.

Importance: Without knowledge of the degree of misattribution in racial and ethnic designations in data, studies run the risk of missing existing inequities and disparities and identifying others that do not exist. Further, accuracy of racial and ethnic designations is important to clinical care improvement efforts and health outcomes. Objective: To determine the error rate of racial and ethnic attribution in the electronic medical records (EMRs) across the 3 largest pediatric health systems in Michigan. Design, Setting, and Participants: This cross-sectional study collected race and ethnicity data from parents in outpatient clinics, emergency departments, and inpatient units at the 3 largest pediatric health systems in Michigan. A total of 1594 parents or guardians participated at health system A, 1537 at health system B, and 1202 at health system C from September 1, 2023, to January 31, 2024. Parent or guardian report of race and ethnicity for a child was used as the gold standard for comparison with the designation in the EMR. Exposure: Race and ethnicity designations in the EMR. Options for race designation across the health systems ranged from 6 to 49; options for ethnicity, from 2 to 10. Main Outcomes and Measures: Matching occurred in 3 stages. First, the exact racial and ethnic designations made by parents for their child were compared with what was found in the EMR. Second, for any child whose parent selected more than 1 racial category or for whom more than 1 appeared in the EMR, the designation of a minoritized racial group was used for matching purposes. Third, starting with the product of stage 2, racial designations were combined or collapsed into 6 (health systems A and C) or 5 (health system B) designations. Results: A total of 4333 survey responses were included in the analysis. The greatest error rate across the health systems occurred with the exact match of parental report of racial designation with the EMR, which ranged from 41% to 78% across the health systems. Improvement in the matching rate for each health system occurred with consolidation of race options provided. Differences between the health systems narrowed at the final consolidation to varying from 79% to 88% matching. Ethnicity matching between the EMR and the parental report ranged from 65% to 95% across the health systems. Missing race or ethnicity data in the EMR was counted as a nonmatch. Rates of missing racial data varied across the health systems from 2% to 10%. The health system with the greatest number of options for race and ethnicity had the highest error rates. Conclusions and Relevance: Although there will always be some misattribution of race and ethnicity in the EMR, the results of this cross-sectional study suggest that significant error in these data may undermine strategies to improve care. It is unclear whether those in an organization who determine the number of potential categories are the same persons who use those data to investigate potential disparities and inequities.

Gender and Race/Ethnicity dynamics in anesthesiology mentorship: results of a European survey.

BACKGROUND: Mentorship is crucial to career advancement, medical education, and psychosocial support, especially for women and minorities. Although anesthesia mentoring programs have shown promise, there are no survey data regarding mentor-mentee relationship dynamics. This study aimed to explore the dynamics of the anesthesia mentor/mentee relationship. METHODS: A open cross-sectional web-based survey was distributed by the European Society of Anesthesiology and Intensive Care and European Society of Regional Anesthesia to European anesthesiologists. Participation was anonymous and consent was obtained. The study evaluated responses relating to preferences, facilitators, and barriers to mentorship relationships along with sociodemographic information. RESULTS: In total, 543 anesthesiologists responded to the survey, and 406 (111 mentees, 49 mentors, 193 both, 53 neither) responded to questions regarding mentorship. 184 anesthesiologists identified as woman and 22 as other genders (non-binary, transgender, gender-fluid, and self-described gender). Moreover, 250 anesthesiologists identified as white. Both mentors and mentees indicated that personal compatibility was the most important factor for successful mentorship. Barriers to mentorship included time consumption and perceived lack of interest from the mentor and mentee. Both mentors and mentees benefited from this relationship. The former reported feeling helpful, and the latter supported the development of clinical skills. The mentors indicated that their participation was important for protecting against burnout/exhaustion and impostor syndrome. Participants reported a preference for mentorship programs organized at the departmental level, offered at the start of the anesthesiology education curricula. Women were more likely to feel a 'lack of interest' in mentoring them as a barrier (OR = 2.49, P = 0.033). Gender was a barrier for mentors of other genders (OR = 23.9, P = 0.0027) and ethnicity (OR = 48.0, P = 0.0023). White mentees found gender (OR = 0.14, P = 0.021) and ethnicity (OR = 0.11, P = 0.048) to be less important barriers to successful mentorship relationship. CONCLUSION: When possible, programs should prioritize matching mentors and mentees based on personal compatibility and experience in the mentee's area of interest. Addressing the perceived lack of interest in mentoring is essential for promoting diversity, equality, and inclusion within anesthesiology, as well as and uplifting women and minorities. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT05968339, First posted (01/08/2023).