Systems analysis and improvement approach to optimize tuberculosis (SAIA-TB) screening, treatment, and prevention in South Africa: a stepped-wedge cluster randomized trial.

BACKGROUND: The use of systems engineering tools, including the development and use of care cascades using routinely collected data, process mapping, and continuous quality improvement, is used for frontline healthcare workers to devise systems level change. South Africa experiences high rates of tuberculosis (TB) infection and disease as well as HIV co-infection. The Department of Health has made significant gains in HIV services over the last two decades, reaching their set "90-90-90" targets for HIV. However, TB services, although robust, have lagged in comparison for both disease and infection. The Systems Analysis and Improvement Approach (SAIA) is a five-step implementation science method, drawn from systems engineering, to identify, define, and implement workflow modifications using cascade analysis, process mapping, and repeated quality improvement cycles within healthcare facilities. METHODS: This stepped-wedge cluster randomized trial will evaluate the effectiveness of SAIA on TB (SAIA-TB) cascade optimization for patients with TB and high-risk contacts across 16 clinics in four local municipalities in the Sarah Baartman district, Eastern Cape, South Africa. We hypothesize that SAIA-TB implementation will lead to a 20% increase in each of: TB screening, TB preventive treatment initiation, and TB disease treatment initiation during the 18-month intervention period. Focus group discussions and key informant interviews with clinic staff will also be conducted to determine drivers of implementation variability across clinics. DISCUSSION: This study has the potential to improve TB screening, treatment initiation, and completion for both active disease and preventive measures among individuals with and without HIV in a high burden setting. SAIA-TB provides frontline health care workers with a systems-level view of their care delivery system with the aim of sustainable systems-level improvements. TRIAL REGISTRATION: Clinicaltrials.gov, NCT06314386. Registered 18 March 2024, https://clinicaltrials.gov/study/NCT06314386 . NCT06314386.

Supplemental Nutrition Assistance Program Emergency Allotments and Food Security, Hospitalizations, and Hospital Capacity.

Importance: Understanding how social policies shape health is a national priority, especially in the context of the COVID-19 pandemic. Objective: To understand the association between politically motivated changes to Nebraska's Supplemental Nutrition Assistance Program (SNAP) policy and public health measures during the COVID-19 pandemic. Design, Setting, and Participants: This cross-sectional study used synthetic control methods to estimate the association of Nebraska's decision to reject emergency allotments for the SNAP with food security and hospital capacity indicators. A counterfactual for Nebraska was created by weighting data from the rest of the US. State-level changes in Nebraska between March 2020 and March 2021 were included. Data were acquired from the Census Bureau's Household Pulse Survey on individual food security and mental health indicators and from the US Centers for Disease Control and Prevention on hospital-level capacity indicators. Data analysis occurred between October 2022 and June 2023. Intervention: The rejection of additional SNAP funds for low-income households in Nebraska from August to November 2020. Main Outcomes and Measures: Food insecurity and inpatient bed use indicators (ie, inpatient beds filled, inpatient beds filled by patients with COVID-19, and inpatients with COVID-19). Results: The survey data of 1 591 006 respondents from May 2020 to November 2020 was analyzed, and 24 869 (1.56%) lived in Nebraska. Nebraska's population was composed of proportionally more White individuals (mean [SD], 88.70% [0.29%] vs 78.28% [0.26%]; P < .001), fewer individuals who made more than $200 000 in 2019 (4.20% [0.45%] vs 5.22% [0.12%]; P < .001), and more households sized 1 to 3 (63.41% [2.29%] vs 61.13% [1.10%); P = .03) compared with other states. Nebraska's rejection of additional funding for SNAP recipients was associated with increases in food insecurity (raw mean [SD] difference 1.61% [1.30%]; relative difference, 19.63%; P = .02), percentage of inpatient beds filled by patients with COVID-19 (raw mean [SD] difference, 0.19% [1.55%]; relative difference, 3.90%; P = .02), and percentage of inpatient beds filled (raw mean [SD] difference, 2.35% [1.82%]; relative difference, 4.10%; P = .02). Conclusions and Relevance: In this cross-sectional study, the association between social policy, food security, health, and public health resources was examined, and the rejection of emergency allotments in Nebraska was associated with increased food insecurity. Additionally, this intervention was associated with an increased rate of hospitalizations for COVID-19 and non-COVID-19 causes.

Inclusion of Middle Eastern and North African populations in diabetes clinical research.

The need for diverse representation in clinical trials has recently been reinforced by the Food and Drug Administration's (FDA) guidance for industry entitled, "Diversity Plans to Improve Enrollment of Participants from Underrepresented Racial and Ethnic Populations in Clinical Trials." By ensuring inclusion of underrepresented racial and ethnic minority populations in clinical trials, results can be more generalizable and the safety and efficacy can be accurately assessed within the diverse U.S. population. Limitations exist in the interpretation and implementation of clinical trial results reported using the current racial and ethnic categories, as these standards do not reflect the true diversity of the U.S. population. This is particularly true for the Middle Eastern and North African (MENA) population, which is usually overlooked given the lack of an established category. Although the international MENA region demonstrates the highest prevalence of diabetes in the world at 12.2%, the actual prevalence among MENA individuals living in the U.S. may be "hidden" within the White category. Therefore, data on the MENA population should be disaggregated from data within the White category to not only unmask health disparities, but also to ensure adequate representation in clinical trials. This paper discusses the importance of appropriate representation and inclusion of the MENA population in diabetes clinical trials, which is a critical public health issue domestically and globally.

Acceptance of COVID-19 vaccination in a sample of Middle Eastern and North African (MENA) Houston residents.

BACKGROUND: COVID-19 vaccination has averted a significant number of deaths in the United States, but vaccination hesitancy continues to be a problem. Therefore, examining vaccination acceptance and/or hesitancy in local communities is critical. METHODS: A quantitative survey and a multivariable logistic regression model was utilized to determine predictors of COVID-19 vaccination in Middle Eastern and North African (MENA) origin Houston residents. The outcome of interest was COVID-19 vaccination status (vaccinated versus not vaccinated). Covariates included: demographics, health, and COVID-19 factors. Statistical analyses included SAS version 9.4 at a priori significance level of 0.05. RESULTS: The overall vaccine acceptance rate was significantly high in this population subset (N = 366), with 77.60% vaccinated, and 22.40% not vaccinated. MENA individuals with some college degrees were less likely to report vaccination than those with a graduate degree [Odds Ratio (OR): 0.18; 95% Confidence Interval (CI): 0.04, 0.77]. Homeowners were more likely to get vaccinated than renters (OR: 2.58; 95%CI: 1.17, 5.68). Individuals practicing Islamic faith were more likely to get vaccinated than other religious affiliations (OR: 3.26; 95%CI: 1.15, 9.19). Individuals with hypertension were less likely to get vaccinated than those without it (OR: 0.34; 95%CI: 0.13, 0.92), and those with anxiety were more likely to get vaccinated than those without anxiety (OR: 4.23; 95%CI: 1.68, 10.64). CONCLUSIONS: Health status, education level, financial stability, and religious affiliation are some of the determining factors that potentially influence vaccination acceptance/hesitancy among the MENA community.

Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview.

Differences in infectious disease risk, acquisition, and severity arise from intersectional systems of oppression and resulting historical injustices that shape individual behavior and circumstance. We define historical injustices as distinct events and policies that arise out of intersectional systems of oppression. We view historical injustices as a medium through which structural forces affect health both directly and indirectly, and are thus important to study in the context of infectious disease disparities. In this critical analysis we aim to highlight the importance of incorporating historical injustices into mathematical models of infectious disease transmission and provide context on the methodologies to do so. We offer two illustrations of elements of model building (i.e., parameterization, validation and calibration) that can allow for a better understanding of health disparities in infectious disease outcomes. Mathematical models that do not recognize the historical forces that underlie infectious disease dynamics inevitably lead to the individualization of our focus and the recommendation of untenable individual-behavioral prescriptions to address the burden of infectious disease.

Exploring Relationships Between State-Level LGBTQ Inclusivity and BRFSS Indicators of Mental Health and Risk Behaviors: A Secondary Analysis.

OBJECTIVES: Minority Stress Theory suggests that repeated exposure to enacted stigma adversely affects mental health. States have wide authority to enact policies affecting the level of inclusivity experienced by lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) residents. The purpose of this study was to explore relationships between states' level of LGBTQ inclusivity and indicators of mental health/risk behaviors among an LGBTQ sample. METHODS: The 2018 Human Rights Campaign State Equality Index (SEI) and the 2018 Behavioral Risk Factor Surveillance Survey (BRFSS) were used to examine relationships between states' levels of LGBTQ inclusivity (predictor variable) and indicators of mental health/risk behaviors (outcome variables). Relationships were explored using descriptive statistics and survey-weighted logistic regression. RESULTS: Lower state inclusivity increased odds of fair/poor general health (adjusted odds ratio [AOR]: 1.22, 95% confidence interval [CI]: 1.01-1.48), increased odds of poor mental health days (AOR: 1.34, 95% CI: 1.11-1.62), increased odds of smoking (AOR: 1.62, 95% CI: 1.27-2.07), and increased odds of heavy drinking (AOR: 1.54, 95% CI: 1.26-1.86) and binge drinking (AOR: 1.23, 95% CI: 1.01-1.49). State inclusivity did not influence odds of a depressive disorder diagnosis or driving under the influence of alcohol. CONCLUSIONS: LGBTQ persons in restrictive states had increased odds of experiencing several indicators of mental health and risk behaviors. More research is needed to determine whether state policies affect other domains of LGBTQ persons' health. Health care providers should be mindful of LGBTQ persons' mental health/risk behaviors and the state policy environment, and should seek to implement mitigating health care strategies such as the use of validated assessment.

Socially Assigned Race and the Health of Racialized Women and Their Infants.

Introduction: While historically most public health research has relied upon self-identified race as a proxy for experiencing racism, a growing literature recognizes that socially assigned race may more closely align with racialized lived experiences that influence health outcomes. We aim to understand how women's health behaviors, health outcomes, and infant health outcomes differ for women socially assigned as nonwhite when compared with women socially assigned as white in Massachusetts. Methods: Using data from the Massachusetts Pregnancy Risk Assessment Monitoring System (PRAMS) Reactions to Race module, we documented the associations between socially assigned race (white vs. nonwhite) and women's health behaviors (e.g., initiation of prenatal care, breastfeeding), women's health outcomes (e.g., gestational diabetes, depression before pregnancy), and infant health outcomes (e.g., preterm birth, low birth weight [LBW]). Multivariable models adjusted for age, marital status, education level, nativity, receipt of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) assistance during pregnancy, infant sex, plurality, and gestational age. Additional models adjusted for treatment by race, how often one thinks about race, and nativity. Results: Women socially assigned as nonwhite had higher odds of breastfeeding (adjusted odds ratio [AOR]: 1.86, 95% confidence interval [CI]: 1.54 to 2.25), lower odds of consuming alcohol (AOR: 0.27, 95% CI: 0.24 to 0.31), and lower odds of smoking (AOR: 0.30, 95% CI: 0.24 to 0.38) compared with those socially assigned as white. However, women socially assigned as nonwhite had higher odds of reporting gestational diabetes (AOR: 1.97, 95% CI: 1.49 to 2.61). Mothers socially assigned as nonwhite also had higher odds of giving birth to an LBW (AOR: 1.66, 95% CI: 1.29 to 2.14) and small-for-gestational age (AOR: 1.46, 95% CI: 1.19 to 1.80) infant compared with women socially assigned as white. Discussion: In comparison with women socially assigned as white, we observed poorer health outcomes for women who were socially assigned nonwhite despite engaging in more beneficial pregnancy-related health behaviors. Socially assigned race can provide an important context for women's experiences that can influence their health and the health of their infants.

Depression and anxiety symptoms among Arab/Middle Eastern American college students: Modifying roles of religiosity and discrimination.

INTRODUCTION: We examine mental health outcomes in a national sample of Arab/Middle Eastern college students using the Healthy Minds Study (HMS) from 2015-2018 and assess the modifying roles of religion and discrimination. METHODS: HMS is an annual web-based survey administered to random samples of undergraduate and graduate students at participating colleges and universities. A total of 2,494 Arab/Middle Eastern and 84,423 white students were included in our sample. Our primary outcomes of depression and anxiety symptoms were assessed using the Patient Health Questionaire-9 (PHQ-9) and the Generalized Anxiety Disorder 7-item (GAD-7) scale, respectively. Survey-weighted logistic regression models were fit for each outcome using an Arab ethnicity indicator. Effect modification by religiosity and discrimination was examined by adding an interaction term to the model. RESULTS: Odds of depression (adjusted odds ratio, AOR: 1.40, 95% CI: 1.24, 1.57) and anxiety (AOR: 1.41, 95% CI: 1.25, 1.60) were higher for Arab/Middle Eastern students than for white students. For Arab/Middle Eastern students, religiosity was a protective factor for both depression (AOR: 0.84, 95% CI: 0.79, 0.90) and anxiety (AOR: 0.91, 95% CI: 0.85, 0.97). Arab/Middle Eastern students who experienced discrimination had higher odds of depression (AOR: 1.41, 95% CI: 1.28, 1.56) and anxiety (AOR: 1.49, 95% CI: 1.36, 1.65) than those who had not. DISCUSSION: Arab/Middle Eastern American college students are a vulnerable subgroup on college campuses experiencing a high burden of depression and anxiety symptoms which are dampened by religiosity and amplified by discrimination.

Collecting and Reporting Accurate Data on Race and Ethnicity Are Necessary to Achieve Health Equity.

Limitations to the collection of data on race and ethnicity currently exist, but nurse researchers can implement strategies to conduct more inclusive research.

Risk Factors for COVID-19 Positivity and Hospital Admission Among Arab American Adults in Southern California.

OBJECTIVE: Little is known about risk factors associated with COVID-19 infection among Arab American people. We aimed to understand the predictors of receiving a positive COVID-19 test result and being admitted to the hospital for COVID-19 among Arab American adults using data from a hospital near an Arab ethnic enclave. METHODS: We used electronic medical record data for Arab American adults aged ≥18 years from March 1, 2020, through January 31, 2021, at Sharp Grossmont Hospital in La Mesa, California. The primary outcomes were receiving a positive COVID-19 test result and being admitted to the hospital for COVID-19. We ran logistic regression models with individual- and population-level risk factors to determine the odds of each primary outcome. RESULTS: A total of 2744 Arab American adults were tested for COVID-19, of whom 783 (28.5%) had a positive test result. In the fully adjusted model, women had lower odds of receiving a positive test result than men (adjusted odds ratio [aOR] = 0.77; 95% CI, 0.64-0.92), and adults living in high-poverty areas had higher odds of receiving a positive test result than adults in lower-poverty areas (aOR = 1.25; 95% CI, 1.04-1.51). Of the 783 Arab American adults with data on admission, 131 (16.7%) were admitted. For every 1-unit increase in the Charlson Comorbidity Index, the odds of admission increased by 66% (aOR = 1.66; 95% CI, 1.36-2.04). CONCLUSION: The risk of receiving a positive test result for COVID-19 was higher among Arab American adults living in high-poverty areas than in lower-poverty areas. The risk of admission was directly related to overall health status. Future work should aim to understand the barriers to prevention and testing in this population.

Differential COVID-19 testing, admissions, and mortality for Arab Americans in Southern California.

BACKGROUND: Understanding of COVID-19 acquisition and severity risk in minoritized groups is limited by data collection on race and ethnicity; very little is known about COVID-19 risk among Arab Americans in the United States. PURPOSE: To quantify whether Arab Americans in the El Cajon region of California experienced differential levels of SARS-CoV-2 infection, severity and mortality when compared to other racial/ethnic groups. METHODS: A retrospective study was conducted using Sharp Grossmont Hospital's electronic medical records. Patients were included in the study if they were: 18 years of age or older, tested for SARS-CoV-2, admitted for COVID-19 infection, or had COVID-19 listed as a cause of death between March 1, 2020 and January 31, 2021. The primary outcomes of interest were a positive COVID-19 test result, admission to the hospital due to COVID-19, and in hospital COVID-19 related mortality. Comparisons were made across racial/ethnic groups using chi-squared statistics and logistic regression models adjusted for sociodemographics, comorbidities, and time from March 2020. RESULTS: Arab Americans had greater odds of testing positive for SARS-CoV-2 than non-Hispanic White (adjusted odds ratio, AOR: 3.83, 95% confidence interval, CI: 3.29, 4.46) and non-Hispanic Black (AOR: 2.34, 95% CI: 1.91, 2.88) patients but lower odds of admission (AOR: 0.47, 95% CI: 0.36, 0.63) and in-hospital mortality (AOR: 0.43, 95% CI: 0.28, 0.65) than Hispanic patients. CONCLUSIONS: There were distinct patterns for COVID-19 infection, severity, and mortality for Arab Americans in Southern California. Without a dedicated ethnic identifier, COVID-19 disparities facing Arab Americans will continue to go undocumented.

Contested racial identity and the health of women and their infants.

Contested racial identity- self-identified race not matching socially-assigned race-may be an indication of experiences with racism. We aimed to understand the relationship between contested racial identity and women's health behaviors, health outcomes, and infant health outcomes. We used 2012-2015 Massachusetts Pregnancy Risk Assessment Monitoring System data on 5735 women linked with infants' birth certificates. We conducted regression analyses to examine associations between contested racial identity with pregnancy and infant health outcomes and further sub-analyses among women who had experienced a contested racial identity. A total of 901 (15.7%) women reported a contested racial identity. When compared to those who did not, women who had a contested racial identity had lower odds of initiating prenatal care in the first trimester (AOR: 0.76, 95% CI: 0.62, 0.95) and higher odds of smoking (AOR: 1.70, 95% CI: 1.32, 2.19). Among women who had experienced a contested racial identity, those who were socially-assigned as White had decreased odds of having a low birth weight baby (AOR: 0.52, 95% CI: 0.28, 0.99) when compared to those socially-assigned as non-White. Contested racial identity is common; it affects the behaviors that women engage in and the outcomes they experience postpartum. Further, we found that there is a potential benefit to a White social ascription. This work adds to growing evidence of the impact of racism on maternal and infant health in the United States.

Differences in Health Characteristics of Geographic Subgroups of Arab Americans in a Northern California Health Plan.

INTRODUCTION: Arab Americans are a diverse ethnic group originating from a large geographic area in the Middle East and North Africa (MENA). We aim to characterize differences in health between Arab Americans from different geographic subgroups within MENA. METHODS: We used cross-sectional electronic health record (EHR) data for a subset of 4913 Arab Americans aged 20-84 in a 2016 Northern California health plan study cohort who could be assigned to one of 4 geographic subgroups (Gulf, African, Levant, and Other) based on EHR ethnicity data. We calculated age-adjusted prevalence estimates for men and women and used generalized linear models to compare Gulf, African, and Other subgroups to Levant Arabs on risk factors (obesity and smoking), chronic conditions (diabetes, hypertension, hyperlipidemia, and asthma), and mental health (depression and anxiety). RESULTS: Among women, prevalence of smoking was lower among Gulf, African, and Other Arabs than Levant Arabs. Among men, prevalence of obesity, diabetes, and hyperlipidemia was lower among Gulf, African, and Other Arabs than Levant Arabs, while prevalence of depression was higher for these subgroups than Levant Arabs. DISCUSSION: We found substantial differences in health characteristics across Arab Americans from different geographic subgroups. Our results suggest that more detailed race and ethnicity information should be collected on Arab Americans to better understand their diverse health risks.

A National Survey Assessing COVID-19 Vaccine Hesitancy Among Arab Americans.

BACKGROUND: Arab Americans' experiences during the COVID-19 pandemic have been largely undocumented. Disparities in vaccine hesitancy between non-Hispanic Whites and minoritized groups have been observed, warranting exploration into the prevalence of COVID-19 vaccine hesitancy among Arab Americans. METHODS: Data from the Survey of Arab Health in America (SAHA) (n = 638), collected between May 2020 and September 2020, were analyzed to determine predictors for vaccine intention among Arab Americans. Chi-squared tests and logistic regression models were performed to determine the relationship between sociodemographic, immigration, acculturation, and COVID-19 risk variables and vaccine intention. RESULTS: More than half (56.7%) of respondents reported an intention to be vaccinated with a COVID-19 vaccine, 35.7% reported uncertainty, and 7.5% reported being unlikely to receive a vaccine. Of those unlikely to receive the vaccine, 72.9% were women and 85.4% reported moderate to high religiosity (p < 0.01). Arab American women had higher odds of being uncertain of their vaccine intention (OR = 1.68; 95% CI: 1.10, 2.57) or being unlikely to receive the vaccine (OR = 5.00; 95% CI: 1.95, 12.83) than men in this sample. DISCUSSION: Factors such as high religiosity and gender were positively associated with being unlikely to receive a COVID-19 vaccine. Future studies should qualitatively assess the beliefs that undergird vaccine intention among Arab Americans.

Undergraduate nursing students' COVID-19 vaccine intentions: A national survey.

INTRODUCTION: In December 2020, the first two COVID-19 vaccines were approved in the United States (U.S.) and recommended for distribution to front-line personnel, including nurses. Nursing students are being prepared to fill critical gaps in the health care workforce and have played important supportive roles during the current pandemic. Research has focused on vaccine intentions of current health care providers and less is known about students' intentions to vaccinate for COVID-19. METHODS: A national sample of undergraduate nursing students were recruited across five nursing schools in five U.S. regions in December 2020. The survey measured perceived risk/threat of COVID-19, COVID-19 vaccine attitudes, perceived safety and efficacy of COVID-19 vaccines, sources for vaccine information and level of intention to become vaccinated [primary, secondary (i.e., delayed), or no intention to vaccinate]. RESULTS: The final sample consisted of 772 students. The majority (83.6%) had intentions to be vaccinated, however of those 31.1% indicated secondary intention, a delay in intention or increased hesitancy). The strongest predictors of primary intention were positive attitudes (OR = 6.86; CI = 4.39-10.72), having lower safety concerns (OR = 0.26; CI = 0.18-0.36), and consulting social media as a source of information (OR = 1.56; CI = 1.23-1.97). Asian (OR = 0.47; CI = 0.23-0.97) and Black (OR 0.26; CI = 0.08-0.80) students were more likely to indicate secondary intention as compared to primary intention. Students in the Midwest were most likely to indicate no intention as compared to secondary intention (OR = 4.6; CI = 1.32-16.11). CONCLUSIONS: As the first two COVID-19 vaccines were approved/recommended in the U.S. nursing students had overall high intentions to vaccinate. Findings can guide development of educational interventions that reduce concerns of vaccine safety that are delivered in a way that is supportive and affirming to minoritized populations while being respectful of geo-political differences.

Skin Tone, Discrimination, and Allostatic Load in Middle-Aged and Older Puerto Ricans.

OBJECTIVE: A growing body of research suggests that skin tone may be a health risk indicator for Hispanics. Black and darker-skinned Hispanics have worse mental and physical outcomes than White and lighter-skinned Hispanics. Discrimination exposure has been implicated as a risk factor that may explain the association between skin tone and health. However, there is scant research examining the interrelationship between skin tone, discrimination, and health, particularly among Puerto Ricans. We examine the interrelationships between two measures of skin tone, two measures of discrimination, and allostatic load (AL) among Puerto Rican adults. METHODS: Using cross-sectional data from wave 3 of the Boston Puerto Rican Health Study (n = 882), we examined the indirect association (IA) of skin tone on physiological dysregulated systems, also known as AL, through major discrimination and everyday discrimination. We tested these associations using two distinct measures of skin tone: interviewer-ascribed skin tone and spectrophotometer-measured skin tone. RESULTS: Interviewer-ascribed skin tone was indirectly associated with AL through major discrimination (IA = 0.03, 95% confidence interval = 0.004 to 0.06). However, there was no evidence of an IA of interviewer-ascribed skin tone on AL through everyday discrimination (IA = -0.01, 95% confidence interval = -0.03 to 0.01). In addition, there was no evidence that spectrophotometer-measured skin tone was indirectly associated with AL through major discrimination or everyday discrimination. CONCLUSIONS: The sociocultural significance of skin tone may affect how Puerto Ricans are perceived and treated by others, which can, in turn, have physiological health consequences. Future research is needed to replicate these findings and examine the interrelationship between skin tone, discrimination, and other health outcomes.

Understanding differences within ethnic group designation: comparing risk factors and health indicators between Iranian and Arab Americans in Northern California.

BACKGROUND: The Middle Eastern and North African (MENA) ethnic group is a diverse group composed of two primary subsets in the United States: Iranian and Arab Americans. We aimed to compare health risk factors, chronic health conditions, and mental health conditions of Iranian and Arab American adults in Northern California. METHODS: We used cross-sectional electronic health record (EHR) data from a 2016 Northern California health plan study cohort to compare adults classified as Iranian or Arab American based on ethnicity, language, or surname. We produced age-standardized prevalence estimates of obesity, smoking, hyperlipidemia, prediabetes, diabetes, hypertension, depression, and anxiety for Iranian and Arab American men and women by age group (35-44, 45-64, and 65-84) and overall (35-84). We used generalized linear models to calculate prevalence ratios (PR) to compare Iranian and Arab American adults ages 35-84 on all health indicators. RESULTS: Compared to Arab Americans, Iranian Americans had a lower prevalence of obesity (PR: 0.77, 95% confidence interval, CI: 0.73, 0.82), current smoking (PR: 0.80, 95% CI: 0.73, 0.89), and ever smoking (PR: 0.95, 95% CI: 0.91, 0.99), but a higher prevalence of hyperlipidemia (PR: 1.09, 95% CI: 1.06, 1.12), prediabetes (PR: 1.12, 95% CI: 1.09, 1.16), depression (PR; 1.41, 95% CI: 1.30, 1.52), and anxiety (PR: 1.52, 95% CI: 1.42, 1.63). Similar patterns were observed for men and women. CONCLUSION: This work supports the need to collect granular data on race and ethnicity within the MENA ethnic group to improve identification in clinical care settings and population health reporting to better address the physical and mental health needs of different MENA subgroups.

Undergraduate nursing students' perceptions on nursing education during the 2020 COVID-19 pandemic: A national sample.

BACKGROUND: In 2020, nursing educational programs were abruptly interrupted and largely moved online due to the COVID-19 pandemic. PURPOSE: To explore nursing students' perspectives about the effects of the pandemic on their education and intention to join the nursing workforce. METHODS: Undergraduate nursing students from 5 universities across 5 United States regions were invited to participate in an online survey to elicit both quantitative and qualitative data. FINDINGS: The final sample included quantitative data on 772 students and qualitative data on 540 students. Largely (65.1%), students reported that the pandemic strengthened their desire to become a nurse; only 11% had considered withdrawing from school. Qualitatively, students described the effect of the pandemic on their psychosocial wellbeing, adjustment to online learning, and challenges to clinical experiences. CONCLUSION: Findings highlighted the need to develop emergency education preparedness plans that address student wellbeing and novel collaborative partnerships between schools and clinical partners.

Health Risks and Chronic Health Conditions among Arab American and White Adults in Northern California.

Objectives: To characterize the prevalence of chronic cardiovascular conditions and risk factors among Arab American adults stratified by sex and compare these with non-Hispanic Whites. Design: Cross-sectional study using electronic health record data from visits between January 2015 and December 2016. Age-adjusted prevalence estimates were calculated for men and women and compared using generalized linear models. Setting: Kaiser Permanente health plan in Northern California. Participants: Non-Hispanic White (N=969,566) and Arab American (N=18,072) adult members. Main Outcome Measures: Sex-stratified prevalence and prevalence ratios of diabetes, pre-diabetes, hypertension, and hyperlipidemia diagnosed by December 2016 and of obesity, ever smoking, and current smoking status. Results: Arab American men had a significantly higher prevalence of ever smoking (41.8 vs 40.8%), diabetes (17.3 vs 12.5%), and hyperlipidemia (40.8 vs 34.7%) than White men, but a significantly lower prevalence of obesity (34.4 vs 37.8%) and hypertension (30.5 vs 33.3%). Arab American women had a significantly higher prevalence of diabetes (11.1 vs 8.7%) and hyperlipidemia (31.5 vs 28.3%) than White women but significantly lower prevalence of obesity (31.0 vs 34.2%), ever smoking (24.8 vs 34.5%), and hypertension (25.8 vs 28.4%). Conclusions: Hospital and health systems should intentionally collect data on Middle Eastern and North African ethnicity in electronic health records to identify and reduce the disparities this minority group faces.