Journal of Racial and Ethnic Health Disparities最新文献

The primary aim of this study is to examine whether racial disparities exist in the use of physical or chemical restraints in the emergency department (ED). The secondary aim is to explore if there are disparities in type or intensity of restraint. We examined ED encounters for acute mental health crises from a single health system over a 3-year period. Univariate and multivariate logistic regression models were used to examine associations of race/ethnicity with primary outcomes of physical and/or chemical restraint and a measure of restraint intensity among patients physically restrained. The study sample included 18,938 ED encounters with completed psychiatric consultations representing 13,316 unique patients. Restraint use was experienced by one-third of the sample (32.6%): 27.9% chemical restraint, 0.8% physical restraint, 3.9% both physical and chemical. In adjusted logistic regression models, odds of chemical restraint were lower for non-Hispanic (NH) Black (OR 0.83, 95% CI: 0.74, 0.93), NH Asian (OR 0.63, 95% CI: 0.47, 0.83), and Hispanic (OR 0.79, 95% CI: 0.65, 0.95) patients relative to NH White, with no difference for NH American Indian and multiracial. In the models assessing physical restraint use, there were no statistically significant differences by race/ethnicity. Among patients who were physically restrained, there were no differences in the adjusted models of high versus low intensity of the restraint type used. Among ED patients at high risk for restraint, patients of minority race/ethnicity were not found to have increased likelihood of restraint or intensity of restraint.

Background: Donor human milk (DHM) though primarily administered in the NICU setting is increasingly being offered in well baby nurseries to promote exclusive breastfeeding. Despite the evidence supporting the use of DHM as a preferred supplement when mother's own milk (MOM) is unavailable or insufficient, foreign-born non-Hispanic black women are less likely to use DHM. Recognizing the cultural diversity and uniqueness among foreign-born non-Hispanic black communities in the USA, this exploratory study sought to understand perceptions of DHM and human milk banking (HMB) as well as factors influencing decision-making toward DHM among Ghanaian immigrant women living in the USA.

Methods: Semi-structured interviews were conducted with 16 Ghanaian women living in the USA. Using a narrative thematic approach, interview transcripts were coded, analyzed, and organized into categories and themes.

Results: Findings indicate mixed sentiments toward DHM/HMB among Ghanaian immigrant women. Regarding decision-making toward DHM utilization and donation, four themes were identified: (1) women's decision-making which is informed by external influences, (2) health provider's role in promoting human milk utilization, (3) the importance of addressing barriers to human milk utilization and donation, and (4) superstition and spirituality.

Conclusions: Maternal perceptions of DHM/HMB are influenced by individual-, interpersonal-, and community-level factors. It is imperative that health promotion efforts adopt multi-level approaches to addressing the disparities in DHM access and utilization as well as factors that impact milk donation in order to ensure optimum health outcomes for neonates of foreign-born non-Hispanic black populations.

Background: Racism-related stress is a root cause of racial and ethnic disparities in mental health outcomes. An individual may be exposed to racism directly or vicariously by hearing about or observing people of the same racial and/or ethnic group experience racism. Although the healthcare setting is a venue by which healthcare workers experience both direct and vicarious racism, few studies have assessed the associations between direct and vicarious racism and mental health outcomes among healthcare workers.

Methods: In this cross-sectional study, we assessed the relationships between direct and vicarious racism and symptoms of posttraumatic stress, depression, and anxiety among healthcare workers in the USA in 2022.

Results: Our sample consisted of 259 healthcare workers identifying as a racialized minority, including 68 (26.3%) who identified as mixed-race, 61 (23.6%) East Asian, 36 (13.9%) Black, 33 (12.7%) South Asian, 22 (8.5%) Southeast Asian, 21 (8.1%) Middle Eastern/North African, and 18 (6.9%) another race. The mean age was 37.9 years (SD 10.1). In multivariable linear regression models that adjusted for demographics, work stressors, and social stressors, we found that increased reporting of vicarious racism was associated with greater symptoms of anxiety (B = 0.066, standard error = 0.034, p = .049). We did not identify significant relationships between vicarious and direct racism and symptoms of posttraumatic stress or depression in the fully adjusted models.

Conclusions: Our findings should be considered by academic health systems to mitigate the negative impact of racism on healthcare workers' mental health.

Objective: Data on treatment outcomes among minority populations treated with remdesivir are limited. We sought to evaluate outcomes among patients hospitalized with COVID-19 and treated with remdesivir among a predominantly Black and LatinX population.

Methods: This was a retrospective cohort study of adult patients hospitalized with COVID-19 and treated with remdesivir at an urban hospital in Newark, NJ, between May 1, 2020, and April 30, 2021, prior to widespread COVID-19 vaccination uptake. We describe 28-day mortality by demographic, socio-economic, and clinical factors, including clinical status by World Health Organization's (WHO) 8-point Ordinal Scale for Clinical Improvement.

Results: A total of 206 patients met study inclusion criteria (52% were male, 41% non-Hispanic Black and 42% Hispanic). Overall mortality at 28 days was 11%. Eighty-one percent of patients with baseline WHO status of 4 or greater recovered by day 14. Mortality was higher among those who were older (p = 0.01), those with underlying diabetes mellitus (p = 0.047), those with more severe illness on admission by WHO Ordinal Scale (WHO status ≥ 4), and those on concomitant tociluzimab or convalescent plasma use.

Conclusions: We found that remdesivir was effective in treating most COVID-19 patients in our study. Traditional risk factors, such as advanced age and underlying co-morbidities, were associated with worse clinical outcomes and deaths.

Background: Racialized communities, including Black Canadians, have disproportionately higher COVID-19 cases. We examined the extent to which SARS-CoV-2 infection has affected the Black Canadian community and the factors associated with the infection.

Methods: We conducted a cross-sectional survey in an area of Ontario (northwest Toronto/Peel Region) with a high proportion of Black residents along with 2 areas that have lower proportions of Black residents (Oakville and London, Ontario). SARS-CoV-2 IgG antibodies were determined using the EUROIMMUN assay. The study was conducted between August 15, 2020, and December 15, 2020.

Results: Among 387 evaluable subjects, the majority, 273 (70.5%), were enrolled from northwest Toronto and adjoining suburban areas of Peel, Ontario. The seropositivity values for Oakville and London were comparable (3.3% (2/60; 95% CI 0.4-11.5) and 3.9% (2/51; 95% CI 0.5-13.5), respectively). Relative to these areas, the seropositivity was higher for the northwest Toronto/Peel area at 12.1% (33/273), relative risk (RR) 3.35 (1.22-9.25). Persons 19 years of age or less had the highest seropositivity (10/50; 20.0%, 95% CI 10.3-33.7%), RR 2.27 (1.23-3.59). There was a trend for an interaction effect between race and location of residence as this relates to the relative risk of seropositivity.

Interpretation: During the early phases of the pandemic, the seropositivity within a COVID-19 high-prevalence zone was threefold greater than lower prevalence areas of Ontario. Black individuals were among those with the highest seroprevalence of SARS-CoV-2.

Postpartum women experience multiple, co-occurring postpartum symptoms. It is unknown if social determinants of health (SDOH) influence postpartum symptom typologies. This secondary analysis used the Community and Child Health Network study data. Participants included for analysis varied depending on the availability of the SDOH data (N = 851 to 1784). Bivariate and multiple regression analyses were conducted to examine the association between SDOH and previously identified postpartum symptom typologies. Area under the receiver operating characteristics curve (AUROC) was calculated to examine if adding SDOH variables contributes to predicting postpartum symptom typologies. The adjusted odds (aOR) of being in high symptom severity or occurrence typologies were greater for participants who had less than high school education (aOR = 2.29), experienced healthcare discrimination (aOR = 2.21), used governmental aid (aOR = 2.11), or were food insecure (aOR = 2.04). AUROC improved after adding SDOH. Considering experiences of different social-economic hardships influence postpartum symptom typologies, future practice and research should address SDOH to improve postpartum symptom experiences.

Previous studies have suggested that COVID-19 led to an increase in stigma towards the Asian population with a negative impact on their health. This study aims to explore this phenomenon and its impact on health through the qualitative analysis of semi-structured interviews conducted with 26 people of Asian origin living in Spain from September 2020 to September 2021. Among the results, it was found that, prior to the pandemic, discrimination was mostly verbal. After the outbreak of the pandemic, some participants, who were blamed and referred to as "COVID", experienced fear and physical aggression. Among the health effects, mental and social disturbances such as feeling like "permanent foreigners", worrying about being stigmatized or fear of interacting with others were prominent. The main protective factor was the support network, including education and community cohesion as main determinants. Future research is needed to analyse the evolution of this stigma after the pandemic and to explore in detail its impact on health.

Context: To evaluate algorithmic fairness in low birthweight predictive models.

Study design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).

Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information. Model performance was assessed overall, among Hispanic individuals, and among non-Hispanic White, Black, Native Hawaiian/Other Pacific Islander, and Asian individuals using multiple measures of predictive performance (i.e., AUC [area under the receiver operating characteristic curve] scores, calibration, sensitivity, and specificity).

Results: AUC scores were lower (underperformed) for Black and Asian individuals relative to White individuals. In the strongest performing model (i.e., GMB), the AUC scores for Black (0.718 [95% CI: 0.705-0.732]) and Asian (0.655 [95% CI: 0.582-0.728]) populations were lower than the AUC for White individuals (0.764 [95% CI: 0.754-0.775 ]). Model performance measured using AUC was comparable in models that included and excluded race/ethnicity; however, sensitivity (i.e., the percent of records correctly predicted as "low birthweight" among those who actually had low birthweight) was lower and calibration was weaker, suggesting underprediction for Black individuals when race/ethnicity were excluded.

Conclusions: This study found that racially blind models resulted in underprediction and reduced algorithmic performance, measured using sensitivity and calibration, for Black populations. Such under prediction could unfairly decrease resource allocation needed to reduce perinatal health inequities. Population health management programs should carefully consider algorithmic fairness in predictive models and associated resource allocation decisions.

The present study examined the effects of a culturally adapted intervention, ¡Iniciando! la Adultez, on sleep and health-related quality of life (HRQoL) in Latino young adults with autism spectrum disorder (ASD) and their Spanish-speaking parents. The intervention targeted the transition to adulthood, a period associated with increased challenges in sleep and HRQoL, particularly for underserved Latino populations. Participants included 26 young adults and 38 parents who completed assessments at baseline and post-treatment. The results indicated significant improvements in several HRQoL domains for both groups, with young adults reporting enhanced emotional well-being, social functioning, and general health. Parents experienced notable improvements in subjective sleep quality, sleep latency, and global sleep quality, alongside enhanced emotional well-being and general health. Correlational analyses revealed significant associations between baseline sleep quality and post-treatment HRQoL, acculturative stress, and mental health outcomes, suggesting the interconnectedness of these factors. Parents generally reported poorer sleep and HRQoL than young adults at both time points, highlighting the ongoing challenges they face. Despite some improvements, overall sleep quality remained suboptimal, emphasizing the need for further refinement of interventions. This study underscores the importance of culturally tailored approaches in addressing the unique needs of Latino families affected by ASD and highlights the potential benefits of such interventions in improving sleep and HRQoL. Future research should explore the long-term sustainability of these improvements and address the remaining gaps in sleep quality. The findings contribute to a growing body of evidence supporting the need for culturally sensitive interventions in promoting well-being in marginalized communities.

Background and purpose: Discrimination is the unfair or prejudicial treatment of people and groups based on certain characteristics. Discrimination in health care can impede access to quality care for patients and lead to poor health outcomes. This study aimed to investigate factors, including race and ethnicity, associated with discrimination in health care in the United States.

Methods: A cross-sectional study utilizing the 2021 Medical Expenditure Panel Survey (MEPS) was conducted. Adults (≥ 18 years old) who responded to questions about discrimination in health care were identified. Population characteristics were summarized using weighted mean, standard deviation, and percentages. A weighted t-test for continuous variables and a chi-square test for categorical variables were used to compare subject characteristics. Weighted logistic regression was used to explore factors associated with discrimination in health care, while controlling for important covariates.

Results: A total of 238,097,086 participants (unweighted n = 17,239) were included in the study. Average (SD) age of the population was 48 (18) years old in 2021 and 52% were female. Compared to non-Hispanic White population, non-Hispanic Black and non-Hispanic other races were more likely to experience discriminated when receiving health care by 285% (OR = 3.85, p < 0.001) and 207% (OR = 3.07, p < 0.001), respectively. Females were also more likely to experience discrimination than males (OR = 1.97, p < 0.001). Other factors associated with discrimination in health care were asthma diagnosis, being a smoker and poverty.

Conclusion: Discrimination in health care is associated with being part of a minority racial and ethnic groups, being female, being an older individual, being a smoker and living in poverty. These associations may contribute to inequitable health outcomes in the United States.