Ethnicity Data Research Articles

The Impact of Changing Race-Specific Equations for Lung Function Tests among Veterans with Chronic Obstructive Pulmonary Disease.

Rationale: The American Thoracic Society recommended a single reference equation for spirometry, but the impact on patients is not known. Objectives: To estimate the effect of changing to a single reference equation among veterans with chronic obstructive pulmonary disease (COPD). Methods: A cross-sectional study was conducted including veterans aged ⩾40 to ⩽89 years with COPD and spirometry results from 21 facilities between 2010 and 2019. We collected race and ethnicity data from the electronic health record. We estimated the percentage change in the number of veterans with lung function meeting clinical thresholds used to determine eligibility for lung resection for cancer, lung volume reduction surgery (LVRS), and lung transplantation referral. We estimated the change for each level of U.S. Department of Veterans Affairs service connection and financial impact. Results: We identified 44,892 veterans (Asian, 0.5%; Black, 11.8%; White, 80.8%; and Hispanic, 1.8%). When changing to a single reference equation, Asian and Black veterans had reduced predicted lung function that could result in less surgical lung resection (4.4% and 11.1%, respectively) while increasing LVRS (1.7% and 3.8%) and lung transplantation evaluation for Black veterans (1.2%). White veterans had increased predicted lung function and could experience increased lung resection (8.1%), with less LVRS (3.3%) and lung transplantation evaluation (0.9%). Some Asian and Black veterans could experience increases in monthly disability payments (+$540.38 and +$398.38), whereas White veterans could see a decrease (-$588.79). When aggregated, Hispanic veterans experienced changes attributable to their racial identity and, because this sample was predominantly Hispanic White, had similar results to White veterans. Conclusions: Changing the reference equation could affect access to treatment and disability benefits, depending on race. If adopted, the use of discrete clinical thresholds needs to be reassessed, considering patient-centered outcomes.

Management of race, ethnicity, and language data in the pediatric emergency department.

Management of race, ethnicity, and language data in the pediatric emergency department.

Invited Commentary: Race, Ethnicity, and Racism in Epidemiologic Research-Perspectives from Public Health Critical Race Praxis (PHCRP).

In 2023, Martinez et al. examined trends in the inclusion, conceptualization, operationalization and analysis of race and ethnicity among studies published in US epidemiology journals. Based on a random sample of papers (N=1,050) published from 1995-2018, the authors describe the treatment of race, ethnicity, and ethnorace in the analytic sample (N=414, 39% of baseline sample) over time. Between 32% and 19% of studies in each time stratum lacked race data; 61% to 34% lacked ethnicity data. The review supplies stark evidence of the routine omission and variability of measures of race and ethnicity in epidemiologic research. Informed by public health critical race praxis (PHCRP), this commentary discusses the implications of four problems the findings suggest pervade epidemiology: 1) a general lack of clarity about what race and ethnicity are; 2) the limited use of critical race or other theory; 3) an ironic lack of rigor in measuring race and ethnicity; and, 4) the ordinariness of racism and white supremacy in epidemiology. The identified practices reflect neither current publication guidelines nor the state of the knowledge on race, ethnicity and racism; therefore, we conclude by offering recommendations to move epidemiology toward more rigorous research in an increasingly diverse society.

Who Counts in Official Statistics? Ethical‐Epistemic Issues in German Migration and the Collection of Racial or Ethnic Data

ABSTRACTIn European countries (excluding the UK and Ireland), official statistics do not use racial or ethnic categories, but instead rely on proxies to collect data about discrimination. In the German microcensus, the proxy category adopted is ‘migration background’ (Migrationshintergrund): an individual has a ‘migration background’ when one or more of their parents does not have German citizenship by birth. We apply a coupled ethical‐epistemic analysis to the ‘migration background’ category to illuminate how the epistemic issues contribute to ethical ones. Our central claim is that these ethical‐epistemic issues with the ‘migration background’ category are best analysed in terms of Charles Mills's ‘white ignorance’. Appealing to Annette Martín's structural account of white ignorance, we highlight the cyclical reinforcement of ignorance and racial injustice in the use of the ‘migration background’ variable. Colourblind eliminativism about race perpetuates the use of ‘migration background’, which sustains and intensifies racial injustices.

An ethnobotanical survey on the medicinal and edible plants used by the Daur people in China

BackgroundThe Daur people are one of the 55 minority ethnic groups in China and have lived in Northern China for 300 years. In traditional Daur medicine, medicinal and edible plants (MEPs) are utilised for health benefits and therapeutic purposes; however, related ethnobotanical knowledge is rarely reported, which is disadvantageous for the sustainable development of these MEPs.MethodsSemi-structured interviews with 122 informants, six focus group discussions, and a resource survey were conducted in a Daur minority nationality area in Inner Mongolia from 2015 to 2020, and the data statistics were analysed. In this study, we simulated a system dynamics model aimed at understanding the multiple feedback mechanisms involved in the relationships between the cultural influences and socioeconomic factors, sustainable environment, and development of MEPs.ResultsA total of 52 species of MEPs were identified and relevant ethnobotanical knowledge was assessed using Daur medicinal species data from Inner Mongolia and the Xinjiang region, with the literature and Ewenki ethnic group data used for comparison. The most commonly used medicinal plant species by the Daur were found to be Betula pendula subsp. mandshurica, Artemisia integrifolia, Crataegus pinnatifida, Saposhnikovia divaricata, Artemisia argyi, and Jacobaea cannabifolia. The MEPs most frequently targeted the digestive and rheumatic immunity systems, as well as infectious diseases or parasitic infections and other common diseases and basic health issues. MEP knowledge was primarily limited to older generations; thus, the valuable ethnobotanical knowledge on traditional medicines must be protected from future losses.ConclusionsOur findings provide insights for future research aimed at exploiting the rich phytochemical diversity in traditional medicine and promote its use in modern lifestyles. Effective assessment and management of plant resources will lead to their application for the improvement of dietary diversity, nutrition, and health care.

Mapping Progress: An analysis of trends in reporting race and ethnicity data in neuro-oncology clinical trials

Mapping Progress: An analysis of trends in reporting race and ethnicity data in neuro-oncology clinical trials

Diversity trends in traumatic brain injury clinical trials in the United States

ABSTRACT Background This study aims to understand the demographic representation of patients in Traumatic Brain Injury (TBI) clinical trials by evaluating the proportions of patients from various demographic categories amongst completed TBI clinical trials in the United States. Methods ClinicalTrials.gov was queried for active TBI clinical trials. One hundred and eight completed trials in the United States were selected based on inclusion criteria, and information regarding intervention, setting, age, sex, race, and ethnicity was extracted. 2002–2006 TBI incidence data was obtained from the CDC. Chi-squared testing was applied to analyze the relationship between distributions of race and sex in the collected clinical trials and the national TBI data, and logistic regression was conducted to identify variables that may predict reporting of race or ethnicity. Results About 53.7% of selected clinical trials reported racial data and 34.3% reported ethnicity data. Logistic regression identified that clinical trials in defined phases were more likely to report racial data (p = 0.047 [1.015, 9.603]). Conclusion Current TBI trials do not consistently report race or ethnicity data. Future efforts to ensure equitable representation in clinical trials may involve reform of recruitment processes and accountability measures implemented within the grant application process to ensure proper racial and ethnicity data reporting.

Assessing Glycosylated Hemoglobin Thresholds for Development of Cardiovascular Disease by Racial and Ethnic Groups.

Diabetes is the strongest risk factor for cardiovascular disease, and although glycosylated hemoglobin (HbA1c) levels are known to vary by race, no racial and ethnic-specific diagnostic thresholds exist for diabetes in prediction of cardiovascular disease events. The purpose of this study is to determine whether HbA1c thresholds for predicting major adverse cardiovascular events (MACEs) differ among racial and ethnic groups. This is a retrospective cohort study of Kaiser Permanente Northern California adult members (n=309 636) with no history of cardiovascular disease who had HbA1c values and race and ethnicity data available between 2014 and 2019. Multivariable logistic regression was used to evaluate the odds of MACEs by the following racial and ethnic groups: Filipino, South Asian, East Asian, Black, White, and Hispanic. A Youden index was used to calculate HbA1c thresholds for MACE prediction by each racial and ethnic group, stratified by sex. Among studied racial and ethnic groups, South Asian race was associated with the greatest odds of MACEs (1.641 [95% CI, 1.456-1.843]; P<0.0001). HbA1c was a positive predictor for MACEs, with an odds ratio of 1.024 (95% CI, 1.022-1.025) for each 0.1% increment increase in HbA1c. HbA1c values varied between 6.0% and 7.6% in MACE prediction by race and ethnicity and sex. White individuals, South Asian individuals, East Asian women, and Black men had HbA1c thresholds for MACE prediction in the prediabetic range, between 6.0% and 6.2%. Black women, Hispanic men, and East Asian men had HbA1c thresholds of 6.2% to 6.6%, less than the typical threshold of 7.0% that is used as a treatment goal. Findings suggest that the use of race and ethnic- and sex-specific HbA1c thresholds may need to be considered in treatment goals and cardiovascular disease risk estimation.

Sociodemographic Disparities and Postoperative Outcomes Following Cranial Vault Remodeling for Craniosynostosis: Analysis of the 2012 to 2021 NSQIP-Pediatric Database.

The objective of this study was to assess whether race and ethnicity are independent predictors of inferior postoperative clinical outcomes, including increased complication rates, extended length of stay (LOS), and unplanned 30-day readmission following cranial vault repair for craniosynostosis. A retrospective cohort study was performed using the American College of Surgeons National Surgical Quality Improvement Program-Pediatric database. Pediatric patients under 2 years of age undergoing cranial vault repair for craniosynostosis between 2012 and 2021 were identified using the International Classification of Diseases-9/10 and Current Procedural Terminology codes. Patients were dichotomized into 4 cohorts: non-Hispanic White (NHW), non-Hispanic Black (NHB), Hispanic, and other. Only patients with available race and ethnicity data were included in this study. Patient demographics, comorbidities, surgical variables, postoperative adverse events, and hospital resource utilization were assessed. Multivariate logistic regression analysis was used to assess the impact of race on complications, extended LOS, and unplanned readmissions. In our cohort of 7764 patients, 72.80% were NHW, 8.44% were NHB, 15.10% were Hispanic, and 3.67% were categorized as "other." Age was significantly different between the 4 cohorts ( P <0.001); NHB patients were the oldest, with an average age of 327.69±174.57 days old. Non-Hispanic White experienced the least adverse events while NHB experienced the most ( P =0.01). Total operative time and hospital LOS were shorter for NHW patients ( P <0.001 and P <0.001, respectively). Rates of unplanned 30-day readmission, unplanned reoperation, and 30-day mortality did not differ significantly between the 4 cohorts. On multivariate analysis, race was found to be an independent predictor of extended LOS [NHB: adjusted odds ratio: 1.30 (1.04-1.62), P=0.021; other: 2.28 (1.69-3.04), P =0.005], but not of complications or readmission. Our study demonstrates that racial and ethnic disparities exist among patients undergoing cranial vault reconstruction for craniosynostosis. These disparities, in part, may be due to delayed age of presentation among non-Hispanic, non-White patients. Further investigations to elucidate the underlying causes of these disparities are necessary to address gaps in access to care and provide equitable health care to at-risk populations.

Differential Privacy Protections in 2020 U.S. Decennial Census Data Do Not Impede Measurement of Racial and Ethnic Disparities.

Census data are vital to health care research but must also protect respondents' confidentiality. The 2020 decennial Census employs a new Differential Privacy framework; this study examines its effect on the accuracy of an important tool for measuring health disparities, the Bayesian Improved Surname and Geocoding (BISG) algorithm, which uses Census Block Group data to estimate race and ethnicity when self-reported data are unavailable. Using self-reported race and ethnicity data as our standard, we compared the accuracy of BISG estimates calculated using the original 2010 Census counts to the accuracy of estimates calculated using 2010 data but with 2020 Differential Privacy in place. The Differential Privacy methodology slightly decreases BISG accuracy for American Indian and Alaska Native people but has little effect for other groups, suggesting that the methodology will not impede health disparities research that employs BISG and similar methods.

Quality Improvement Intervention Using Social Prescribing at Discharge in a University Hospital in France: Quasi-Experimental Study.

Social prescription is seen as a public health intervention tool with the potential to mitigate social determinants of health. On one side, social prescription is not yet well developed in France, where social workers usually attend to social needs, and historically, there is a deep divide between the health and social sectors. On the other side, discharge coordination is gaining attention in France as a critical tool to improve the quality of care, assessed indirectly using unplanned rehospitalization rates. This study aims to combine social prescription and discharge coordination to assess the need for social prescription and its effect on unplanned rehospitalization rates. We conducted a quasi-experimental study in two departments of medicine in a French university hospital in a disadvantaged suburb of Paris over 2 years (October 2019-October 2021). A discharge coordinator screened patients for social prescribing needs and provided services on the spot or referred the patient to the appropriate service when needed. The primary outcome was the description of the services delivered by the discharge coordinator and of its process, as well as the characteristics of the patients in terms of social needs. The secondary outcome was the comparison of unplanned rehospitalization rates after data chaining. A total of 223 patients were included in the intervention arm, with recruitment being disrupted by the COVID-19 pandemic. More than two-thirds of patients (n=154, 69.1%) needed help understanding discharge information. Slightly less than half of the patients (n=98, 43.9%) seen by the discharge coordinator needed social prescribing, encompassing language, housing, health literacy, and financial issues. The social prescribing covered a large range of services, categorized into finding a general practitioner or private sector nurse, including language-matching; referral to a social worker; referral to nongovernmental organization or group activities; support for transportation issues; support for health-related administrative procedures; and support for additional appointments with nonmedical clinicians. All supports were delivered in a highly personalized way. Ethnic data collection was not legally permitted, but for 81% (n=182) of the patients, French was not the mother tongue. After data chaining, rehospitalization rates were compared between 203 patients who received the intervention (n=5, 3.1%) versus 2095 patients who did not (n=51, 2.6%), and there was no statistical difference. First, our study revealed the breadth of patient's unmet social needs in our university hospital, which caters to an area where the immigrant population is high. The study also revealed the complexity of the discharge coordinator's work, who provided highly personalized support and managed to gain trust. Hospital discharge could be used in France as an opportunity in disadvantaged settings. Eventually, indicators other than the rehospitalization rate should be devised to evaluate the effect of social prescribing and discharge coordination.

Are Clinical Practice Guidelines Representative of Patients With Distal Radius Fractures? A Review of Patient Demographics and Patient-Reported Outcome Measures Used to Inform Guidelines

Clinical practice guidelines (CPGs) are recommendations developed for broad application to optimize high-quality care and decision-making. The composition of patients and outcome measures used in studies informing CPGs; however, has not been rigorously evaluated. With growing evidence that outcomes in musculoskeletal surgery vary by sociocultural factors, we aimed to: (1) review the linguistic, racial, and ethnic representation of the patients in the studies informing CPGs for distal radius fractures and (2) assess their use of linguistically and culturally adapted patient-reported outcome measures (PROMs). The American Academy of Orthopaedic Surgeons website was used to identify relevant studies. Key variables were extracted, including inclusion and exclusion criteria, language of study, patient language and proficiency, patient race and ethnicity, and use of translated or culturally adapted PROMs. If provided, the clinical trial registration page for the study was evaluated. Descriptive statistics were used to describe the frequency of each variable. Fifty-four published texts were evaluated. Participant language was reported in four (7%) of the published texts and six (11%) when including the clinical trial registration information. Of the published texts, one (2%) reported ethnic group/race data and 40 (74%) used PROMs. Of those using PROMs, eight (20%) of 40 reported the use of translated PROMs, and three (8%) of 40 reported the use of culturally adapted PROMs. There is a lack of reporting of linguistic, racial, and ethnic data and inconsistent use of PROMs, particularly those that are translated and culturally adapted, in studies included in the American Academy of Orthopaedic Surgeons CPG for distal radius fractures. As sociocultural characteristics and PROMs are associated with outcomes, ensuring they are broadly represented in studies, may improve equity and shared decision-making. Greater inclusion and reporting of demographic data and PROMs arerequired in musculoskeletal studies to ensure broad applicability and advance health equity.

Addressing bias in preterm birth research: The role of advanced imputation techniques for missing race and ethnicity in perinatal health data

ObjectivesTo evaluate the effectiveness of Bayesian Improved Surname Geocoding (BISG) and Bayesian Improved First Name Surname Geocoding (BIFSG) in estimating race and ethnicity, and how they influence odds ratios for preterm birth. MethodsWe analyzed hospital birth admission electronic health records (EHR) data (N = 9985). We created two simulation sets with 40 % of race and ethnicity data missing randomly or more likely for non-Hispanic black birthing people who had preterm birth. We calculated C-statistics to evaluate how accurately BISG and BIFSG estimate race and ethnicity. We examined the association between race and ethnicity and preterm birth using logistic regression and reported odds ratios (OR). ResultsBISG and BIFSG showed high accuracy for most racial and ethnic categories (C-statistics = 0.94–0.97, 95 % confidence intervals [CI] = 0.92–0.97). When race and ethnicity were not missing at random, BISG (OR = 1.25, CI = 0.97–1.62) and BIFSG (OR = 1.38, CI = 1.08–1.76) resulted in positive estimates mirroring the true association (OR = 1.68, CI = 1.34–2.09) for Non-Hispanic Black birthing people, while traditional methods showed contrasting estimates (Complete case OR = 0.62, CI = 0.41–0.94; multiple imputation OR = 0.63, CI = 0.40–0.98). ConclusionsBISG and BIFSG accurately estimate missing race and ethnicity in perinatal EHR data, decreasing bias in preterm birth research, and are recommended over traditional methods to reduce potential bias.

Abstract PS01-07: Impact of Race and Ethnicity on Recurrence Risk in Patients with Ductal Carcinoma in Situ Treated with Breast-Conserving Surgery

Abstract Background: Among women with invasive breast cancer, clinical presentation, tumor biology and survival vary by race and ethnicity. However, the impact of race and ethnicity on clinical presentation and recurrence risk in women with ductal carcinoma in situ (DCIS) treated with breast-conserving surgery (BCS) has not been well studied. We sought to compare rates of recurrence in women with DCIS across racial and ethnic groups and identify factors associated with recurrence. Methods: Patients with DCIS treated with BCS from 1978 to 2016 at a single institution were identified. Patients were grouped and analyzed based on self-reported race and ethnicity as: Asian, Hispanic, non-Hispanic Black (Black), non-Hispanic White (White). Individuals with undefined ethnicity were classified by race, while those lacking both race and ethnicity data were excluded. Clinicopathologic characteristics were compared across racial and ethnic groups. The association of race and ethnicity on recurrence risk was analyzed using Kaplan–Meier methods, competing risk analysis and multivariable analysis. Results: Overall, 4207 cases were included, of which 6% (n= 261) were Asian, 9% (n = 358) Black, 5% (n = 226) Hispanic and 80% (n = 3362) White. Median age was 57 years (IQR 49, 67), 56% received radiotherapy (RT) and 26% received endocrine therapy. Black women with DCIS were older; Asian women were younger (median age: 60 vs 53 respectively, p &amp;lt; 0.001). Black women were more likely to have a clinical presentation (p = 0.006), and Black and Hispanic women were more likely to require ≥3 excisions (p = 0.006). The use of RT was most common among Hispanic women (p = 0.02). At a median follow-up of 8.8 years, 602 (14%) had local recurrence (LR) (315 [52%] DCIS; 284 [47%] invasive and 3 [ &amp;lt; 1%] unknown). The 10-year rate of LR was 15% and was lower in those treated with RT than without (11% vs 20%, respectively; p&amp;lt; 0.0001), despite those receiving RT having more high-risk characteristics. Rates of LR varied significantly by race and ethnicity, with the highest 10-year rate in Black women (25%) compared with Asian (11%), Hispanic (15%) and White (14%) women (p = 0.03). This statistically significant difference persisted among the no RT cohort (10-year rate: 31% [Black], 13% [Asian], 25% [Hispanic], 19% [White], p = 0.043), but did not reach significance in the RT cohort (21% [Black], 9% [Asian], 9% [Hispanic] and 11% [White], p = 0.3). Using competing risk analysis, the risk of invasive recurrence was similar or lower than DCIS recurrence in each racial group with or without RT. After adjusting for other factors on multivariable analysis, there remained a higher risk of LR among Black women (hazard ratio [HR] 1.48, 95% CI 1.12-1.95, p = 0.01). Older age (p &amp;lt; 0.001), radiologic presentation (p = 0.02), margins ≥ 2 mm (p &amp;lt; 0.001), the use of endocrine therapy (p &amp;lt; 0.001) and the use of RT (p &amp;lt; 0.001) were associated with lower rates of LR (Table). Sixteen women (0.4%) developed distant disease, with similar rates among Asian (0%), Black (0.8%), Hispanic (0.9%) and White (0.3%) women (p = 0.2). Conclusion: Compared with Asian, Hispanic and White women, Black women with DCIS had a significantly higher rate of LR after BCS, even after adjusting for known clinicopathologic risk factors. Rates of distant recurrence were low, and similar across racial groups. These higher rates of LR should be considered when making decisions about adjuvant therapy. Table. Factors associated with local recurrence in women with ductal carcinoma in situ treated with breast-conserving surgery. HR, hazard ratio; CI confidence interval; Ref, referent. Citation Format: Natália Polidorio, V. Morgan Jones, Varadan Sevilimedu, Monica Morrow, Kimberly Van Zee, Andrea Barrio. Impact of Race and Ethnicity on Recurrence Risk in Patients with Ductal Carcinoma in Situ Treated with Breast-Conserving Surgery [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS01-07.

Lipoprotein(a) Levels in Disaggregated Racial and Ethnic Subgroups Across Atherosclerotic Cardiovascular Disease Risk Levels

BackgroundLipoprotein(a) [Lp(a)] is a causal risk factor for atherosclerotic cardiovascular disease (ASCVD). ObjectivesThe authors assessed differences in Lp(a) testing and levels by disaggregated race, ethnicity, and ASCVD risk. MethodsThis was a retrospective cohort study of patients from a large California health care system from 2010 to 2021. Eligible individuals were ≥18 years old, with ≥2 primary care visits, and complete race and ethnicity data who underwent Lp(a) testing. Race and ethnicity were self-reported and categorized as follows: non-Hispanic (NH) White, NH-Black, Hispanic (Mexican, Puerto Rican, other), NH-Asian (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, other). Logistic regression models tested associations between elevated Lp(a) (≥50 mg/dL) and race, ethnicity, and ASCVD risk. Results13,689 (0.9%) individuals underwent Lp(a) testing with a mean age of 54.6 ± 13.8 years, 49% female, 28.8% NH Asian. Over one-third of those tested had Lp(a) levels ≥50 mg/dL, ranging from 30.7% of Mexican patients to 62.6% of NH-Black patients. The ASCVD risk of those tested varied by race: 73.6% of Asian Indian individuals had <5% 10-year risk, whereas 27.2% of NH-Black had established ASCVD. Lp(a) prevalence ≥50 mg/dL increased across the ASCVD risk spectrum. After adjustment, Hispanic (OR: 0.76 [95% CI: 0.66-0.88]) and Asian (OR: 0.88 [95% CI: 0.81-0.96]) had lower odds of Lp(a) ≥50 mg/dL, whereas Black individuals had higher odds (OR: 2.46 [95% CI: 1.97-3.07]). ConclusionsLp(a) testing is performed infrequently. Of those tested, Lp(a) levels were frequently elevated and differed significantly across disaggregated race and ethnicity groups. The prevalence of elevated Lp(a) increased with increasing ASCVD risk, with significant variation by race and ethnicity.

Now That We Are Disaggregating Race and Ethnicity Data, We Need to Start Understanding What They Mean.

Now That We Are Disaggregating Race and Ethnicity Data, We Need to Start Understanding What They Mean.

COVID-19 Hospitalization in Hawai'i and Patterns of Insurance Coverage, Race and Ethnicity, and Vaccination.

The people of Hawai'i have both high rates of health insurance and high levels of racial and ethnic diversity, but the degree to which insurance status and race and ethnicity contribute to health outcomes in COVID-19 remains unknown. To evaluate the associations of insurance coverage, race and ethnicity (using disaggregated race and ethnicity data), and vaccination with outcomes for COVID-19 hospitalization. This retrospective cohort study included hospitalized patients at a tertiary care medical center between March 2020 and March 2022. All patients hospitalized for acute COVID-19, identified based on diagnosis code or positive results on polymerase chain reaction-based assay for SARS-CoV-2, were included in analysis. Data were analyzed from May 2022 to May 2023. COVID-19 requiring hospitalization. Electronic medical record data were collected for all patients. Associations among race and ethnicity, insurance coverage, receipt of at least 1 COVID-19 vaccine, intensive care unit (ICU) transfer, in-hospital mortality, and COVID-19 variant wave (pre-Delta vs Delta and Omicron) were assessed using adjusted multivariable logistic regression. A total of 1176 patients (median [IQR] age of 58 [41-71] years; 630 [54%] male) were hospitalized with COVID-19, with a median (IQR) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 30 (25-36) and Sequential Organ Failure Assessment score of 1 (0-2). The sample included 16 American Indian or Alaska Native patients, 439 Asian (not otherwise specified) patients, 15 Black patients, 66 Chinese patients, 246 Filipino patients, 76 Hispanic patients, 107 Japanese patients, 10 Korean patients, 299 Native Hawaiian patients, 523 Pacific Islander (not otherwise specified) patients, 156 Samoan patients, 5 Vietnamese patients, and 311 White patients (patients were able to identify as >1 race or ethnicity). When adjusting for age, BMI, sex, medical comorbidities, and socioeconomic neighborhood status, there were no differences in either ICU transfer (eg, Medicare vs commercial insurance: odds ratio [OR], 0.84; 95% CI, 0.43-1.64) or in-hospital mortality (eg, Medicare vs commercial insurance: OR, 0.85; 95% CI, 0.36-2.03) as a function of insurance type. Disaggregation of race and ethnicity revealed that Filipino patients were more likely to die in the hospital (OR, 1.79; 95% CI, 1.04-3.03; P = .03). When considering variant waves, mortality among Filipino patients was highest during the pre-Delta time period (OR, 2.72; 95% CI, 1.02-7.14; P = .04), when mortality among Japanese patients was lowest (OR, 0.19; 95% CI, 0.03-0.78; P = .04); mortality among Native Hawaiian patients was lowest during the Delta and Omicron period (OR, 0.35; 95% CI, 0.13-0.79; P = .02). Patients with Medicare, compared with those with commercial insurance, were more likely to have received at least 1 COVID-19 vaccine (OR, 1.85; 95% CI, 1.07-3.21; P = .03), but all patients, regardless of insurance type, who received at least 1 COVID-19 vaccine had reduced ICU admission (OR, 0.40; 95% CI, 0.21-0.70; P = .002) and in-hospital mortality (OR, 0.42; 95% CI, 0.21-0.79; P = .01). In this cohort study of hospitalized patients with COVID-19, those with government-funded insurance coverage (Medicare or Medicaid) had similar outcomes compared with patients with commercial insurance, regardless of race or ethnicity. Disaggregation of race and ethnicity analysis revealed substantial outcome disparities and suggests opportunities for further study of the drivers underlying such disparities. Additionally, these findings illustrate that vaccination remains a critical tool to protect patients from COVID-19 mortality.

Implications and Insights on Federal Revisions to Race and Ethnicity Data Collection

Implications and Insights on Federal Revisions to Race and Ethnicity Data Collection

Social health and subsequent cognitive functioning in people aged 50 years and older: examining the mediating roles of depressive symptoms and inflammatory biomarkers in two European longitudinal studies

Social health markers, including marital status, contact frequency, network size, and social support, have been shown to be associated with cognition. However, the mechanisms underlying these associations remain poorly understood. We investigated whether depressive symptoms and inflammation mediated associations between social health and subsequent cognition. In the English Longitudinal Study of Ageing (ELSA), a nationally representative longitudinal study in England, UK, we sampled 7136 individuals aged 50 years or older living in private households without dementia at baseline or at the intermediate mediator assessment timepoint, who had recorded information on at least one social health marker and potential mediator. We used four-way decomposition to examine to what extent depressive symptoms, C-reactive protein, and fibrinogen mediated associations between social health and subsequent standardised cognition (verbal fluency and delayed and immediate recall), including cognitive change, with slopes derived from multilevel models (12-year slope). We examined whether findings were replicated in the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), a population-based longitudinal study in Sweden, in a sample of 2604 individuals aged 60 years or older living at home or in institutions in Kungsholmen (central Stockholm) without dementia at baseline or at the intermediate mediator assessment timepoint (6-year slope). Social health exposures were assessed at baseline, potential mediators were assessed at an intermediate timepoint (wave 2 in ELSA and 6-year follow-up in SNAC-K); cognitive outcomes were assessed at a single timepoint (wave 3 in ELSA and 12-year follow-up in SNAC-K), and cognitive change (between waves 3 and 9 in ELSA and between 6-year and 12-year follow-ups in SNAC-K). The study sample included 7136 participants from ELSA, of whom 3962 (55·5%) were women and 6934 (97·2%) were White; the mean baseline age was 63·8 years (SD 9·4). Replication analyses included 2604 participants from SNAC-K, of whom 1604 (61·6%) were women (SNAC-K did not collect ethnicity data); the mean baseline age was 72·3 years (SD 10·1). In ELSA, we found indirect effects via depressive symptoms of network size, positive support, and less negative support on subsequent verbal fluency, and of positive support on subsequent immediate recall (pure indirect effect [PIE] 0·002 [95% CI 0·001-0·003]). Depressive symptoms also partially mediated associations between less negative support and slower decline in immediate recall (PIE 0·001 [0·000-0·002]) and in delayed recall (PIE 0·001 [0·000-0·002]), and between positive support and slower decline in immediate recall (PIE 0·001 [0·000-0·001]). We did not observe mediation by inflammatory biomarkers. Findings of mediation by depressive symptoms in the association between positive support and verbal fluency and between positive support and change in immediate recall were replicated in SNAC-K. The findings of this study provide new insights into mechanisms linking social health with cognition, suggesting that associations between interactional aspects of social health, especially social support, and cognition are partly underpinned by depressive symptoms. EU Joint Programme-Neurodegenerative Disease Research (JPND) and Alzheimer's Society. For the Swedish translation of the abstract see Supplementary Materials section.

Factors Associated with Missing Sociodemographic Data in the IRIS® (Intelligent Research in Sight) Registry

PurposeTo describe the prevalence of missing sociodemographic data in the IRIS® Registry (Intelligent Research for Sight) and to identify practice-level characteristics associated with missing sociodemographic data. DesignCross-sectional study ParticipantsAll patients with clinical encounters at practices participating in the IRIS Registry prior to 12/31/2020. MethodsWe describe geographic and temporal trends in the prevalence of missing data for each sociodemographic variable (age, sex, race, ethnicity, geographic location, insurance type, and smoking status). Each practice contributing data to the registry was categorized based on the number of patients, number of physicians, geographic location, patient visit frequency, and patient population demographics. Main outcome measureMultivariable linear regression was used to describe the association of practice-level characteristics with missing patient-level sociodemographic data. ResultsThis study included the electronic health records of 66,477,365 patients receiving care at 3306 practices participating in the IRIS Registry. The median number of patients per practice was 11,415 (IQR: 5,849-24,148) and the median number of physicians per practice was 3 (IQR: 1-7). The prevalence of missing patient sociodemographic data was 0.1% for age, 0.4% for sex, 24.8% for race, 30.2% for ethnicity, 2.3% for 3-digit zip code, 14.8% for state, 5.5% for smoking status, and 17.0% for insurance type. The prevalence of missing data increased over time and varied at the state-level. Missing race data was associated with practices that had fewer visits per patient (p<0.001), cared for a larger non-privately insured patient population (p=0.001), and were located in urban areas (p<0.001). Frequent patient visits were associated with a lower prevalence of missing race (p<0.001), ethnicity (p<0.001), and insurance (p<0.001), but a higher prevalence of missing smoking status (p<0.001). ConclusionsThere are geographic and temporal trends in missing race, ethnicity, and insurance type data in the IRIS Registry. Several practice-level characteristics, including practice size, geographic location, and patient population are associated with missing sociodemographic data. While the prevalence and patterns of missing data may change in future versions of the IRIS registry, there will remain a need to develop standardized approaches for minimizing potential sources of bias and ensure reproducibility across research studies.