Racial/ethnic disparities in chronic wounds: Perspectives on linking upstream factors to health outcomes.

This review explores the complex relationship between social determinants of health and the biology of chronic wounds associated with diabetes mellitus, with an emphasis on racial/ethnic disparities. Chronic wounds pose significant healthcare challenges, often leading to severe complications for millions of people in the United States, and disproportionally affect African American, Hispanic, and Native American individuals. Social determinants of health, including economic stability, access to healthcare, education, and environmental conditions, likely influence stress, weathering, and nutrition, collectively shaping vulnerability to chronic diseases, such as obesity and DM, and an elevated risk of chronic wounds and subsequent lower extremity amputations. Here, we review these issues and discuss the urgent need for further research focusing on understanding the mechanisms underlying racial/ethnic disparities in chronic wounds, particularly social deprivation, weathering, and nutrition, to inform interventions to address these disparities.

Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model.

BACKGROUND: Differential exposure to chronic stressors by race/ethnicity may help explain Black-White inequalities in rates of preterm birth. However, researchers have not investigated the cumulative, interactive, and population-specific nature of chronic stressor exposures and their possible nonlinear associations with preterm birth. Models capable of computing such high-dimensional associations that could differ by race/ethnicity are needed. We developed machine learning models of chronic stressors to both predict preterm birth more accurately and identify chronic stressors and other risk factors driving preterm birth risk among non-Hispanic Black and non-Hispanic White pregnant women. METHODS: Multivariate Adaptive Regression Splines (MARS) models were developed for preterm birth prediction for non-Hispanic Black, non-Hispanic White, and combined study samples derived from the CDC's Pregnancy Risk Assessment Monitoring System data (2012-2017). For each sample population, MARS models were trained and tested using 5-fold cross-validation. For each population, the Area Under the ROC Curve (AUC) was used to evaluate model performance, and variable importance for preterm birth prediction was computed. RESULTS: Among 81,892 non-Hispanic Black and 277,963 non-Hispanic White live births (weighted sample), the best-performing MARS models showed high accuracy (AUC: 0.754-0.765) and similar-or-better performance for race/ethnicity-specific models compared to the combined model. The number of prenatal care visits, premature rupture of membrane, and medical conditions were more important than other variables in predicting preterm birth across the populations. Chronic stressors (e.g., low maternal education and intimate partner violence) and their correlates predicted preterm birth only for non-Hispanic Black women. CONCLUSIONS: Our study findings reinforce that such mid or upstream determinants of health as chronic stressors should be targeted to reduce excess preterm birth risk among non-Hispanic Black women and ultimately narrow the persistent Black-White gap in preterm birth in the U.S.

Multiscale Analysis of the Relationship between Toxic Chemical Hazard Risks and Racial/Ethnic and Socioeconomic Groups in Texas, USA.

Although quantitative environmental (in)justice research demonstrates a disproportionate burden of toxic chemical hazard risks among racial/ethnic minorities and people in low socioeconomic positions, limited knowledge exists on how racial/ethnic and socioeconomic groups across geographic spaces experience toxic chemical hazards. This study analyzed the spatial non-stationarity in the associations between toxic chemical hazard risk and community characteristics of census block groups in Texas, USA, for 2017 using a multiscale geographically weighted regression. The results showed that the percentage of Black or Asian population has significant positive associations with toxic risk across block groups in Texas, meaning that racial minorities suffered more from toxic risk wherever they are located in the state. By contrast, the percentage of Hispanic or Latino has a positive relationship with toxic risk, and the relationship varies locally and is only significant in eastern areas of Texas. Statistical associations between toxic risk and socioeconomic variables are not stationary across the state, showing sub-state patterns of spatial variation in terms of the sign, significant level, and magnitude of the coefficient. Income has a significant negative association with toxic risk around the Dallas-Fort Worth-Arlington Metropolitan Statistical Area. Proportions of people without high school diploma and the unemployment rate both have positive relationships with toxic risk in the eastern area of Texas. Our findings highlight the importance of identifying the spatial patterns of the association between toxic chemical hazard risks and community characteristics at the census block group level for addressing environmental inequality.

Pulse Oximetry Screening: Association of State Mandates with Emergency Hospitalizations.

We evaluated the association between implementation of state-mandated pulse oximetry screening (POS) and rates of emergency hospitalizations among infants with Critical Congenital Heart Disease (CCHD) and assessed differences in that association across race/ethnicity. We hypothesized that emergency hospitalizations among infants with CCHD decreased after implementation of mandated POS and that the reduction was larger among racial and ethnic minorities compared to non-Hispanic Whites. We utilized statewide inpatient databases from Arizona, California, Kentucky, New Jersey, New York, and Washington State (2010-2014). A difference-in-differences model with negative binomial regression was used. We identified patients with CCHD whose hospitalizations between three days and three months of life were coded as "emergency" or "urgent" or occurred through the emergency department. Numbers of emergency hospitalizations aggregated by month and state were used as outcomes. The intervention variable was an implementation of state-mandated POS. Difference in association across race/ethnicity was evaluated with interaction terms between the binary variable indicating the mandatory policy period and each race/ethnicity group. The model was adjusted for state-specific variables, such as percent of female infants and percent of private insurance. We identified 9,147 CCHD emergency hospitalizations. Among non-Hispanic Whites, there was a 22% (Confidence Interval [CI] 6%-36%) decline in CCHD emergency hospitalizations after implementation of mandated POS, on average. This decline was 65% less among non-Hispanic Blacks compared to non-Hispanic Whites. Our study detected an attenuated association with decreased number of emergency hospitalizations among Black compared to White infants. Further research is needed to clarify this disparity.

Racial-ethnic Differences in Actigraphy, Questionnaire, and Polysomnography Indicators of Healthy Sleep: The Multi-Ethnic Study of Atherosclerosis.

A paradigm shift in sleep science argues for a systematic, multidimensional approach to investigate sleep's association with disease and mortality and to address sleep disparities. We utilized the comprehensive sleep assessment of the Multi-Ethnic Study of Atherosclerosis (2010- 2013), a cohort of U.S. White, Black, Chinese, and Hispanic adults and older adults (n=1,736; mean age=68.3), to draw 13 sleep dimensions and create composite Sleep Health Scores to quantify multidimensional sleep health disparities. After age and sex adjustment in linear regression, compared to White participants, Black participants showed the greatest global sleep disparity, then Hispanic and Chinese participants. We estimated relative 'risk' of obtaining favorable sleep compared to White adults at the component level by race/ethnicity (lower is worse). The largest disparities were in objectively-measured sleep timing regularity (RRBlack [95% CI]: 0.37 [0.29,0.47], RRHispanic: 0.64 [0.52,0.78], RRChinese: 0.70 [0.54,0.90]) and duration regularity (RRBlack: 0.55 [0.47,0.65], RRHispanic: 0.76 [0.66,0.88], RRChinese: 0.74 [0.61,0.90]), after sex and age adjustment. Disparities in duration and continuity were also apparent, and Black adults were additionally disadvantaged in %N3 (slow wave sleep), sleepiness, and sleep timing (24-hour placement). Sleep timing regularity, duration regularity, duration, and continuity may comprise a multidimensional cluster of targets to reduce racial-ethnic sleep disparities.

Cost and Utilization of Lung Cancer End-of-Life Care Among Racial-Ethnic Minority Groups in the United States.

BACKGROUND: The end-of-life period is a crucial time in lung cancer care. To have a better understanding of the racial-ethnic disparities in health care expenditures, access, and quality, we evaluated these disparities specifically in the end-of-life period for patients with lung cancer in the U.S. MATERIALS AND METHODS: We used the Surveillance, Epidemiology, and End Results (SEER)-Medicare database to analyze characteristics of lung cancer care among those diagnosed between the years 2000 and 2011. Linear and logistic regression models were constructed to measure racial-ethnic disparities in end-of-life care cost and utilization among non-Hispanic (NH) Asian, NH black, Hispanic, and NH white patients while controlling for other risk factors such as age, sex, and SEER geographic region. RESULTS: Total costs and hospital utilization were, on average, greater among racial-ethnic minorities compared with NH white patients in the last month of life. Among patients with NSCLC, the relative total costs were 1.27 (95% confidence interval [CI], 1.21-1.33) for NH black patients, 1.36 (95% CI, 1.25-1.49) for NH Asian patients, and 1.21 (95% CI, 1.07-1.38) for Hispanic patients. Additionally, the odds of being admitted to a hospital for NH black, NH Asian, and Hispanic patients were 1.22 (95% CI, 1.15-1.30), 1.47 (95% CI, 1.32-1.63), and 1.18 (95% CI, 1.01-1.38) times that of NH white patients, respectively. Similar results were found for patients with SCLC. CONCLUSION: Minority patients with lung cancer have significantly higher end-of-life medical expenditures than NH white patients, which may be explained by a greater intensity of care in the end-of-life period. IMPLICATIONS FOR PRACTICE: This study investigated racial-ethnic disparities in the cost and utilization of medical care among lung cancer patients during the end-of-life period. Compared with non-Hispanic white patients, racial-ethnic minority patients were more likely to receive intensive care in their final month of life and had statistically significantly higher end-of-life care costs. The findings of this study may lead to a better understanding of the racial-ethnic disparities in end-of-life care, which can better inform future end-of-life interventions and help health care providers develop less intensive and more equitable care, such as culturally competent advanced care planning programs, for all patients.

Patterns of racial/ethnic disparities in baseline health-related quality of life and relationship with overall survival in patients with colorectal cancer.

PURPOSE: Racial disparities are evident in colorectal cancer (CRC) prognosis with black patients experiencing worse outcomes than Hispanics and whites, yet mediators of these disparities are not fully known. The aim of this study is to identify variables that contribute to racial/ethnic disparities in health-related quality of life (HR-QoL) and overall survival in CRC. METHODS: Using SF-12 questionnaires, we assessed HR-QoL in 1132 CRC patients by calculating their physical (PCS) and mental composite summary (MCS) scores. Associations between poor PCS/MCS and sociodemographic factors were estimated and survival differences were identified by race/ethnicity. RESULTS: Hispanic patients who never married were at greater risk of poor PCS (OR 2.69; 95% CI 1.11-6.49; P = 0.028) than were currently married patients. College education was associated with a decreased risk of poor PCS in Hispanic and white, but not black, patients. Gender was significantly associated with poor MCS among white patients only. CRC patients who reported a poor PCS or MCS had poor survival, with differences in median survival times (MSTs) by race. The effect of PCS was strongest in white CRC patients with a difference in overall MST of > 116 months between those with favorable versus poor physical HR-QoL. Black patients who reported poor Physical and Mental HR-QoL showed significant risk of a poor outcome. CONCLUSION: These findings suggest that racial/ethnic disparities in CRC survival may be related to differences in HR-QoL. Identified mediators of HR-QoL could supplement current CRC management strategies to improve patients' survival.

Racial/ethnic disparities in the adjuvant chemotherapy of locally advanced colon cancer patients.

BACKGROUND: Most race/ethnicity-oriented investigations focus on Caucasian Americans (whites) and African Americans (blacks), leaving Asians, Hispanic white (Hispanics), and other minorities less well studied. Adjuvant chemotherapy (CT) after curative resection is critical to patients with locally advanced colon cancer (LACC). We studied the racial disparities in the adjuvant CT of LACC to aid in selecting optimal treatments for people from different races/ethnicities in this era of precision medicine. METHODS: Patients with American Joint Committee on Cancer (AJCC) stage II or III colon cancer (CC) (together termed as LACC) were included based on Surveillance, Epidemiology, and End Results cancer registry-Medicare linked databases. The log-rank test and Cox multivariate regression analysis were performed to investigate the racial/ethnic disparities in cohorts divided according to the regimen of adjuvant CT. RESULTS: In the LACC patients who did not receive adjuvant CT, Asian patients had better survival than other groups (all, P <0.05). For the fluoropyrimidine cohort, the survival of Asian patients was better than that of whites, blacks, and other minorities (all, P <0.05). For the fluoropyrimidine with oxaliplatin cohort, other minorities had superior survival to other groups (all, P <0.05). Similar findings were demonstrated for patients with AJCC stage II and III CC, and the observed better survival persisted after adjustments in the Cox models. CONCLUSIONS: Among LACC patients not receiving adjuvant CT, Asians achieved better survival than other races/ethnicities. Superior survival was also observed for Asians in the fluoropyrimidine cohort and for other minorities in the fluoropyrimidine with oxaliplatin cohort for AJCC stage III CC.

Developing a comorbidity index for comparing cancer outcomes in Aboriginal and non-Aboriginal Australians.

BACKGROUND: Comorbidity is known to increase risk of death in cancer patients, both Aboriginal and non-Aboriginal. The means of measuring comorbidity to assess risk of death has not been studied in any depth in Aboriginal patients in Australia. In this study, conventional and customized comorbidity indices were used to investigate effects of comorbidity on cancer survival by Aboriginal status and to determine whether comorbidity explains survival disparities. METHODS: A retrospective cohort study was undertaken using linked population-based South Australian Cancer Registry and hospital inpatient data for 777 Aboriginal people diagnosed with primary cancer between 1990 and 2010 and 777 randomly selected non-Aboriginal controls matched by sex, birth year, diagnosis year and tumour type. A customised comorbidity index was developed by examining associations of comorbid conditions with 1-year all-cause mortality within the Aboriginal and non-Aboriginal patient groups separately using Cox proportional hazard model, adjusting for age, stage, sex and primary site. The adjusted hazard ratios for comorbid conditions were used as weights for these conditions in index development. The comorbidity index score for combined analyses was the sum of the weights across the comorbid conditions for each case from the two groups. RESULTS: The two most prevalent comorbidities in the Aboriginal cohort were "uncomplicated" hypertension (13.5%) and diabetes without complications (10.8%), yet in non-Aboriginal people, the comorbidities were "uncomplicated" hypertension (7.1%) and chronic obstructive pulmonary disease (4.4%). Higher comorbidity scores were associated with higher all-cause and cancer-specific mortality. The new index showed minor improvements in predictive ability and model fit when compared with three common generic comparison indices. After accounting for the competing risk of other deaths, stage at diagnosis, socioeconomic status, area remoteness and comorbidity, the increased risk of cancer death in Aboriginal people remained. CONCLUSIONS: Our new customised index performed at least as well, although not markedly better than the generic indices. We conclude that in broad terms, the generic indices are reasonably effective for adjusting for comorbidity when comparing survival outcomes by Aboriginal status. Irrespective of the index used, comorbidity has a negative impact on cancer-specific survival, but this does not fully explain the lower survival in Aboriginal patients.

Racial/Ethnic Disproportionality in Psychiatric Diagnoses and Treatment in a Sample of Serious Juvenile Offenders.

Psychiatric disorder prevalence has been shown demonstrably higher among justice-involved adolescents than youth in the general population. Yet, among arrested juveniles, little is known regarding racial/ethnic differences in disorder prevalence, the role of trauma exposure in the diagnosis of behavioral disorders, or subsequent psychiatric treatment provided to adolescents with such diagnoses. The current study examines racial/ethnic disparity in psychiatric diagnoses and treatment of behavioral disorders associated with delinquency, controlling for traumatic experiences, behavioral indicators, and prior offending among serious juvenile offenders. Logistic regression is employed to explore the racial/ethnic disproportionality in behavioral disorder diagnoses and psychiatric treatment provision among 8763 males (57.7 % Black, 11.8 % Hispanic) and 1,347 females (53.7 % Black, 7.6 % Hispanic) admitted to long-term juvenile justice residential placements in Florida. The results indicate Black males are 40 % more likely, and Black females 54 % more likely to be diagnosed with conduct disorder than Whites, even upon considerations of trauma, behavioral indicators, and criminal offending. Black and Hispanic males are approximately 40 % less likely to be diagnosed with ADHD than White males, with no racial/ethnic differences for females. Importantly, Black males are 32 % less likely to receive psychiatric treatment than White males, with no differences between White and Hispanic males, or any female subgroups. Traumatic exposures increased the odds of oppositional defiant disorder and ADHD, but not conduct disorder for males, though adverse childhood experiences were unrelated to behavioral disorder diagnoses among females.

Ethnic Disparities in Medicare Part D Satisfaction and Intention to Switch Plans.

Medicare Part D has been successful in providing affordable prescription drug coverage with relatively high levels of beneficiary reported satisfaction. We use nationally representative survey data to examine whether racial/ethnic disparities exist in reported Part D satisfaction and plan evaluations. Compared to non-Hispanic White Medicare beneficiaries, Hispanic beneficiaries are considerably more likely to report to switch to a new plan in the next year and, among beneficiaries auto-enrolled in a Part D plan, are less likely to be very satisfied with the currently enrolled plan. The findings of ethnic disparities in both Medicare Part D plan satisfaction and the intent to switch plans call for future quality and equity improvement efforts to address these disparities.

Prevalence of Depression Among Stroke Survivors: Racial-Ethnic Differences.

BACKGROUND AND PURPOSE: Although poststroke depression is common, racial-ethnic disparities in depression among stroke survivors remain underexplored. Thus, we investigated the relationship between race/ethnicity and depression in a multiracial-ethnic stroke cohort. METHODS: Baseline survey data of validated scales of depression and functional status, demographics, comorbidities, and socioeconomic status were used from a recurrent stroke prevention study among community-dwelling urban stroke/transient ischemic attack survivors. RESULTS: The cohort included 556 participants with a mean age of 64 years. The majorities were black (44%) or latino (42%) and female (60%), had their last stroke/transient ischemic attack nearly 2 years before study enrollment, and lived below the poverty level (58%). Nearly 1 in 2 latinos, 1 in 4 blacks, and 1 in 8 whites were depressed. Multivariate logistic regression showed that survivors who were younger, were female, had ≥3 comorbid conditions, were functionally disabled from stroke, lacked emotional-social support, and who took antidepressants before study entry had higher risk of depression. Time since last stroke/transient ischemic attack did not affect the chance of depression. After adjusting for all above risk factors, latinos had 3× the odds of depression (95% confidence interval: 1.18-6.35) than whites; blacks and whites had similar odds of depression. CONCLUSIONS: This study reveals that latino stroke survivors have a significantly higher prevalence of depression compared with their non-latino counterparts.

Racial/ethnic disparity in severe maternal morbidity among women who conceived by in vitro fertilization.

Background: In vitro fertilization (IVF) as a fertility treatment is associated with adverse perinatal outcomes. Racial/ethnic disparity in severe maternal morbidity (SMM) in women who conceived by IVF is understudied. Objective: To examine differences in the association between race/ethnicity and SMM between women who conceived spontaneously and those who conceived using IVF. Methods: We included all singleton live births and stillbirths in the United States, 2016-2021; data were obtained from the National Center for Health Statistics. Maternal race/ethnicity included non-Hispanic White (NHW), non-Hispanic Black (NHB), American Indian and Alaska Native (AIAN), Asian, Pacific Islander (PI), Hispanic, and mixed-race categories. The SMM composite outcome included eclampsia, uterine rupture, peripartum hysterectomy, blood transfusion, and intensive care unit (ICU) admission. We used logistic regression to adjust for potential confounders (such as age, education, parity, prepregnancy body mass index, smoking during pregnancy, chronic hypertension, and preexisting diabetes) and to assess modification of the association between race/ethnicity and SMM by IVF. Results: The study population included 21,585,015 women: 52% were NHW, 15% NHB, 0.8% AIAN, 6% Asian, 0.2% PI, 24% Hispanic, and 2% were of mixed race. IVF was used by 183,662 (0.85%) women; the rate of the SMM composite outcome was 18.5 per 1000 deliveries and 7.9 per 1000 deliveries in the IVF and spontaneous conception groups, respectively (unadjusted rate ratio 2.34, 95% confidence interval [CI] 2.26-2.43). In women with spontaneous conception, NHB, Asian and mixed-race women had elevated odds of SMM compared with NHW women (adjusted odds ratio [aOR]=1.39, 95% CI 1.37-1.41; aOR=1.04, 95% CI 1.02-1.07; and aOR=1.42, 95% CI 1.38-1.46, respectively). Racial/ethnic disparities in SMM and its components were not different between the IVF and spontaneous conception groups for the mixed-race category. NHB and Hispanic women had significantly higher aORs for uterine rupture/intrapartum hysterectomy compared with NHW women in the IVF group, while Asian women had a higher aOR for ICU admission compared with NHW women in the IVF group. Conclusion: Women who conceived by IVF have a greater than two-fold higher risk of SMM and this higher risk is evident across all racial/ethnic groups. However, NHB and Hispanic women who conceived by IVF had a higher risk of uterine rupture/hysterectomy, and Asian women who conceived by IVF had a higher risk of ICU admission. Our results warrant further investigation examining pregnancy and postpartum care issues among racial/ethnic minority women who conceive using IVF.

Racial and ethnic disparities in untreated patients with hepatitis C virus-related hepatocellular carcinoma but not in those with sustained virologic response.

BACKGROUND: Racial and ethnic disparities exist for hepatitis C virus (HCV) treatment and hepatocellular carcinoma (HCC) survival. AIM: To evaluate the impact of HCV treatment on such disparities. METHODS: In a retrospective cohort study, we analysed 6069 patients with HCV-related HCC (54.2% Asian, 30.1% White, 8.5% Black, and 7.3% Hispanic) from centres in the United States and Asia. RESULTS: The mean age was 61, 60, 59 and 68, respectively, for White, Black, Hispanic and Asian patients. Black patients were most likely to have Barcelona Clinic Liver Cancer stage D, vascular invasion and distant metastasis (23% vs. 5%-15%, 20% vs. 10%-17% and 10% vs. 5%-7%, respectively; all p < 0.0001). Treatment rate with direct-acting antiviral agents (DAA) was 35.9% for Asian, 34.9% for White, 30.3% for Hispanic (30.3%), and 18.7% for Black patients (p < 0.0001). Among those untreated or without sustained virologic response (SVR), 10-year survival rates were 35.4, 27.5, 19.3 and 14.0, respectively, for Asian, Hispanic, White and Black patients (p < 0.0001). There were no statistically significant differences among those with SVR (p = 0.44). On multivariable analysis adjusted for relevant confounders, there was no statistically significant association between survival and being Hispanic (aHR: 0.68, p = 0.26) or Black (aHR: 1.18, p = 0.60) versus White. There was a significant association between being Asian American and survival (aHR: 0.24, p = 0.001; non-U.S. Asian: aHR: 0.66, p = 0.05), and for SVR (aHR: 0.30, p < 0.0001). CONCLUSION: DAA treatment rates were suboptimal. Racial and ethnic disparities resolved with HCV cure. Early diagnosis and improved access to HCV treatment is needed for all patients with HCV infection.

Unique Profiles of Postpartum Family Needs and Evidence of Racial and Ethnic Disparities: Insights from Community Implementation of Family Connects.

OBJECTIVES: To delineate specific family needs during the postpartum period using data from Family Connects (FC), a universal home-visiting initiative, and to scrutinize potential racial and ethnic disparities in these needs. METHOD: FC implementation data spanned from July 1, 2009, to August 31, 2021, in seven counties across the USA. Data encompassed nurse-led in-home assessments for 34,119 families. Nurses evaluated needs across four domains (healthcare, parenting/childcare, safe home, and parent support) comprising 12 risk factors. FINDINGS: Overall, families reported high levels of need, and community connections were facilitated for 57% of visited families. Significant differences in need profiles between whites and minority groups were revealed, reflecting both disparity and uniqueness. Employing the Oaxaca decomposition approach, we found that racial/ethnic disparities in socioeconomic attributes were associated with racial/ethnic gaps in the need profiles. CONCLUSIONS: The event of giving birth is both high risk and high opportunity for preventive intervention. Home-visiting programs, as an evidence-based approach, must address the diverse spectrum of familial needs comprehensively.

Identifying Nursing Homes With Diverse Racial and Ethnic Resident Compositions: The Importance of Group Heterogeneity and Geographic Context.

Racial/ethnic composition of nursing home (NH) plays a particularly important role in NH quality. A key methodological issue is defining when an NH serves a low versus high proportion of racially/ethnically diverse residents. Using the Minimum Data Set from 2015 merged with Certification and Survey Provider Enhanced Reports, we calculated the racial/ethnic composition of U.S.-based NHs for Black or Hispanic residents specifically, and a general Black, Indigenous, and People of Color (BIPOC) grouping for long-stay residents. We examined different definitions of having a high racial/ethnic composition by varying percentile thresholds of composition, state-specific and national thresholds, and restricting composition to BIPOC residents as well as only Black and Hispanic residents. NHs with a high racial/ethnic composition have different facility characteristics than the average NH. Based on this, we make suggestions for how to identify NHs with diverse racial/ethnic resident compositions.

Trends in Gender and Racial/Ethnic Disparities in Physical Disability and Social Support Among U.S. Older Adults With Cognitive Impairment Living Alone, 2000-2018.

Background and Objectives: Informal care is the primary source of support for older adults with cognitive impairment, yet is less available to those who live alone. We examined trends in the prevalence of physical disability and social support among older adults with cognitive impairment living alone in the United States. Research Design and Methods: We analyzed 10 waves of data from the U.S. Health and Retirement Survey spanning 2000-2018. Eligible people were those aged ≥65, having cognitive impairment, and living alone. Physical disability and social support were measured via basic and instrumental activities of daily living (BADLs, IADLs). We estimated linear temporal trends for binary/integer outcomes via logistic/Poisson regression, respectively. Results: A total of 20 070 participants were included. Among those reporting BADL/IADL disability, the proportion unsupported for BADLs decreased significantly over time (odds ratio [OR] 0.98, 95% confidence interval [CI] 0.97-0.99), and the proportion unsupported for IADLs increased (OR = 1.02, CI 1.01-1.04). Among those receiving IADL support, the number of unmet IADL support needs increased significantly over time (relative risk [RR] 1.04, CI 1.03-1.05). No gender disparities were found for these trends. Over time, Black respondents had a relatively increasing trend of being BADL-unsupported (OR = 1.03, CI 1.0-1.05) and Hispanic and Black respondents had a relatively increasing trend in the number of unmet BADL needs (RR = 1.02, CI 1.00-1.03; RR = 1.01, CI 1.00-1.02, respectively), compared to the corresponding trends in White respondents. Discussion and Implications: Among lone-dwelling U.S. older adults with cognitive impairment, fewer people received IADL support over time, and the extent of unmet IADL support needs increased. Racial/ethnic disparities were seen both in the prevalence of reported BADL/IADL disability and unmet BADL/IADL support needs; some but not all were compatible with a reduction in disparity over time. This evidence could prompt interventions to reduce disparities and unmet support needs.

The role of perceived health in retention disparity: A HIV-testing-related behavioral intervention among African American and Latinx men who have sex with men in the United States.

Retention in healthcare and health behavior remains a critical issue, contributing to inequitable distribution of intervention benefits. In diseases such as HIV, where half of the new infections occur among racial and sexual minorities, it is important that interventions do not enlarge pre-existing health disparities. To effectively combat this public health issue, it is crucial that we quantify the magnitude of racial/ethnic disparity in retention. Further, there is a need to identify mediating factors to this relationship to inform equitable intervention design. In the present study, we assess the racial/ethnic disparity in retention in a peer-led online behavioral intervention to increase HIV self-testing behavior and identify explanatory factors. The research used data collected from the Harnessing Online Peer Education (HOPE) HIV Study that included 899 primarily African American and Latinx men who have sex with men (MSM) in the United States. Results show that African American participants had higher lost-to-follow-up rates at 12-week follow-up compared to Latinx participants (11.1% and 5.8% respectively, Odds Ratio = 2.18, 95% confidence interval: 1.12 - 4.11, p = 0.02), which is substantially mediated by participants' self-rated health score (14.1% of the variation in the African American v.s. Latinx difference in lost-follow-up, p = 0.006). Thus, how MSM perceive their health may play an important role in their retention in HIV-related behavioral intervention programs and its racial/ethnic disparity.

Racial and Ethnic Health Disparities in Dermatology.

Health disparities are differences in health or disease incidence, prevalence, severity, or disease burden that are experienced by disadvantaged populations. Their root causes are attributed in large part to socially determined factors, including educational level of attainment, socioeconomic status, and physical and social environments. There is an expanding body of evidence documenting differences in dermatologic health status among underserved populations. In this review, the authors highlight inequities in outcomes across 5 dermatologic conditions, including psoriasis, acne, cutaneous melanoma, hidradenitis suppurativa, and atopic dermatitis.

Associations Between Medicaid Expansion and Mental Health Among U.S. Racial and Ethnic Groups.

OBJECTIVE: The authors examined associations between Medicaid expansion and self-reported mental health by race-ethnicity, focusing on lagged associations. METHODS: This retrospective, cross-sectional study used 2011-2019 data from the Behavioral Risk Factor Surveillance System. The sample included low-income, childless adults ages 25-64 years. Difference-in-differences (DID) analysis was used to estimate associations between Medicaid expansion and self-reported mental health. Lagged associations were examined by separating the postexpansion period into proximal (2014-2016) and distal (2017-2019) periods. RESULTS: In the overall sample (N=327,248), Medicaid expansion was associated with a reduction in the mean number of self-reported past-month poor mental health days (DID=-0.12, 95% CI=-0.21 to -0.03), after adjustment for covariates. The expansion was associated with significant reductions in past-month poor mental health days for the following groups: non-Hispanic White (DID=-0.18, 95% CI=-0.29 to -0.07), non-Hispanic Asian (DID=-1.15, 95% CI=-1.37 to -0.93), non-Hispanic other (DID=-0.62, 95% CI=-1.03 to -0.21), and Hispanic (DID=-0.48, 95% CI=-0.73 to -0.23). The non-Hispanic Black group had a significant increase in past-month poor mental health days (DID=0.27, 95% CI=0.06 to 0.49), and no significant change was noted for the American Indian or Alaska Native (AIAN) group. Improvements in mental health observed at the beginning of the policy implementation (proximal period) were not sustained over time for some racial-ethnic minority groups. CONCLUSIONS: Although Medicaid expansion improved mental health for the overall sample, some racial-ethnic disparities were detected. The negative and insignificant associations for the non-Hispanic Black and AIAN groups, respectively, highlight the need to better understand why the Medicaid expansion affected racial-ethnic groups differently.