Publications

The use of nurse care managers (CMs) and community health workers (CHWs) has demonstrated effectiveness in supporting improved blood pressure management among racially, ethnically, and socioeconomically minoritized populations. We partnered with a community advisory board (CAB) to develop a CM and CHW training curriculum and team-based collaborative care intervention to address uncontrolled hypertension. The objective of this study was to train CMs and CHWs to implement patient-centered techniques and address social determinants of health related to hypertension control. In partnership with a CAB, we developed and implemented a training curriculum for the CM/CHW collaborative care team. The training improved CM and CHW confidence in their ability to address medical and nonmedical issues that contribute to uncontrolled hypertension in their patients; however, preexisting norms and beliefs among CMs and CHWs created challenges with teamwork. The training curriculum was feasible and well-received. Additionally, the CMs' and CHWs' reactions provided insights to improve future collaborative care training and teamwork.

BACKGROUND: Hypertension (HTN) is a leading cause of maternal mortality, and HTN guidelines recommend home blood pressure monitoring (HBPM) to help achieve blood pressure (BP) control. Evidence suggests that HBPM be coupled with a care team to maximize its effectiveness. HBPM use and the prevalence of provider counseling in child-bearing age women with HTN are unknown.

METHODS: We used data from 3,614 women in the cross-sectional National Health and Nutrition Examination Surveys 2009-2014 to determine HBPM use and provider counseling for women of child-bearing age (20-50 years) with and without HTN. HBPM use and provider counseling were self-reported. We examined rates of HBPM use by race/ethnicity, poverty-income ratio (PIR), education, and insurance.

RESULTS: Among women of child-bearing age with HTN, the mean (SE) age was 37.0 (0.3) years, the mean (SE) BMI was 35.5 (0.6) kg/m2, and 73% were on BP medication. Of these women with HTN, 49.6% reported HBPM use in the past year and 40.4% received provider counseling. There was no significant difference in HBPM use by race/ethnicity, PIR, or insurance, though higher education was associated with HBPM use. Women with HTN who received provider counseling were more likely to use HBPM (odds ratio = 15.7, 95% confidence interval 9.1-26.9).

CONCLUSIONS: Nearly half of child-bearing age women with HTN have adopted HBPM, and provider counseling was strongly associated with HBPM use. This highlights a need and opportunity for providers to improve BP management by supporting a popular and valuable monitoring approach among women of child-bearing age with HTN.

Background In the United States, Black adults have higher rates of cardiovascular disease (CVD) risk factors than White adults. However, it is unclear how CVD risk factors compare between Black ethnic subgroups, including African Americans (AAs), African immigrants (AIs), and Afro-Caribbeans, and White people. Our objective was to examine trends in CVD risk factors among 3 Black ethnic subgroups and White adults between 2010 and 2018. Methods and Results A comparative analysis of the National Health Interview Survey was conducted among 452 997 participants, examining sociodemographic characteristics and trends in 4 self-reported CVD risk factors (hypertension, diabetes, overweight/obesity, and smoking). Generalized linear models with Poisson distribution were used to obtain predictive probabilities of the CVD risk factors. The sample included 82 635 Black (89% AAs, 5% AIs, and 6% Afro-Caribbeans) and 370 362 White adults. AIs were the youngest, most educated, and least insured group. AIs had the lowest age- and sex-adjusted prevalence of all 4 CVD risk factors. AAs had the highest prevalence of hypertension (2018: 41.9%) compared with the other groups. Overweight/obesity and diabetes prevalence increased in AAs and White adults from 2010 to 2018 (P values for trend <0.001). Smoking prevalence was highest among AAs and White adults, but decreased significantly in these groups between 2010 and 2018 (P values for trend <0.001), as compared with AIs and Afro-Caribbeans. Conclusions We observed significant heterogeneity in CVD risk factors among 3 Black ethnic subgroups compared with White adults. There were disparities (among AAs) and advantages (among AIs and Afro-Caribbeans) in CVD risk factors, suggesting that race alone does not account for disparities in CVD risk factors.

Underrepresentation of Black individuals in genetic research is a longstanding issue. There are well-documented strategies to improve the enrollment of Black participants; however, few studies explore these strategies-as well as the barriers and facilitators for participation-by sampling Black people who have previously participated in genetic research. This study explores the decision-making process of Black adults who have participated in genetic research to identify best practices in the recruitment of Black subjects in genetic research. We conducted 18 semi-structured interviews with Black adults with prior research participation in genetic studies housed at an urban academic medical center in the United States of America (USA). An online survey was conducted with the participants to gather demographic data and information on prior research participation. Trust in research was ascertained with the Corbie-Smith Distrust in Clinical Research Index. Two participants scored high levels of distrust using the validated index. Using thematic content analysis, 4 themes emerged from the interviews: (1) Participants are active players in health system, (2) information is power, and transparency is key, (3) therapeutic alliances and study characteristics facilitate participation, and (4) race pervades the research process. The decision to participate in genetic research for the participants in our study was prompted by participants' internal motivations and facilitated by trust in their doctor, trust in the institution, and ease of participation. Most participants viewed their enrollment in genetic research in the context of their own racial identity and the history of medical racism in the USA.

(1) Background: people who migrate from low-to high-income countries are at an increased risk of weight gain, and excess weight is a risk factor for cardiovascular disease. Few studies have quantified the changes in body mass index (BMI) pre- and post-migration among African immigrants. We assessed changes in BMI pre- and post-migration from Africa to the United States (US) and its associated risk factors. (2) Methods: we performed a cross-sectional analysis of the African Immigrant Health Study, which included African immigrants in the Baltimore-Washington District of the Columbia metropolitan area. BMI category change was the outcome of interest, categorized as healthy BMI change or maintenance, unhealthy BMI maintenance, and unhealthy BMI change. We explored the following potential factors of BMI change: sex, age at migration, percentage of life in the US, perceived stress, and reasons for migration. We performed multinomial logistic regression adjusting for employment, education, income, and marital status. (3) Results: we included 300 participants with a mean (±SD) current age of 47 (±11.4) years, and 56% were female. Overall, 14% of the participants had a healthy BMI change or maintenance, 22% had an unhealthy BMI maintenance, and 64% had an unhealthy BMI change. Each year of age at immigration was associated with a 7% higher relative risk of maintaining an unhealthy BMI (relative risk ratio [RRR]: 1.07; 95% CI 1.01, 1.14), and compared to men, females had two times the relative risk of unhealthy BMI maintenance (RRR: 2.67; 95% CI 1.02, 7.02). Spending 25% or more of life in the US was associated with a 3-fold higher risk of unhealthy BMI change (RRR: 2.78; 95% CI 1.1, 6.97). (4) Conclusions: the age at immigration, the reason for migration, and length of residence in the US could inform health promotion interventions that are targeted at preventing unhealthy weight gain among African immigrants.

BACKGROUND: Social determinants of health (SDOH) are associated with a variety of health outcomes, yet their relation to emergency department (ED) visits among individuals with coronary heart disease (CHD) or stroke is unclear.

METHODS: We performed a cross-sectional analysis of the 2010-2018 National Health Interview Survey, examining ED visits among individuals who self-reported CHD or stroke diagnosis. The outcome was defined as reporting ≥1 ED visit in the previous 12 months vs none. The SDOH examined were race, employment status, poverty, insurance status, marital status, and educational status.

RESULTS: We included N=14,925 participants with a diagnosis of CHD or stroke. The mean (±SD) age was 68 (±.14) years. After adjusting for age and sex, non-Hispanic Blacks were more likely (adjusted odds ratio [AOR]: 1.29; 95%CI: 1.15-1.44) to report having ≥1 ED visits than Whites. Compared with Whites, Asians had lower odds of having ≥1 ED visit in the previous 12 months (AOR: .63, 95%CI: .49-.82). Those who were unmarried (AOR: 1.21, 95%CI: 1.12 - 1.31), unemployed (AOR: 1.53, 95%CI: 1.36- 1.72) and had a poverty income ratio of <1 (AOR: 1.47, 95%CI: 1.31-1.67) had higher odds of having ≥1 ED visits.

CONCLUSION: Being Black, unmarried, unemployed, and having lower income levels were associated with a higher likelihood of having ≥1 ED visits in the prior 12 months among individuals with a CHD or stroke diagnosis. SDOH should be considered when developing systematic interventions to prevent costly ED visits.

Background The Asian population is the fastest-growing immigrant population in the United States. Prior studies have examined the Asian immigrant population as a homogenous group. We hypothesized that there will be heterogeneity in cardiovascular disease risk factors among Asian immigrant subgroups (Indian subcontinent, Southeast Asia, Asia) compared with the non-Hispanic White population. Methods and Results A cross-sectional analysis of the 2010 to 2018 National Health Interview Survey was conducted among 508 941 adults who were born in Asian regions or were non-Hispanic White and born in the United States. Generalized linear models with Poisson distribution were fitted to compare the prevalence of self-reported hypertension, overweight/obesity, diabetes mellitus, high cholesterol, physical inactivity, and current smoking among Asian immigrants compared with White adults, adjusting for known confounders. We included 33 973 Asian immigrants from Southeast Asia (45%), Asia (29%), the Indian subcontinent (26%), and 474 968 White adults. Compared with non-Hispanic White adults, Indian subcontinent immigrants had the highest prevalence of overweight/obesity (prevalence ratio, 1.22; 95% CI, 1.19-1.25); Southeast Asian immigrants had the highest prevalence of high cholesterol (prevalence ratio, 1.16; 95% CI, 1.10-1.23); Indian subcontinent (prevalence ratio, 1.69; 95% CI, 1.49-1.93) and Southeast Asian (prevalence ratio, 1.38; 95% CI, 1.26-1.52) immigrants had a higher prevalence of diabetes. All Asian immigrant subgroups were more likely to be physically inactive and less likely to smoke than White adults. Conclusions We observed significant heterogeneity in cardiovascular disease risk factors among Asian immigrants and a varied prevalence of risk factors compared with non-Hispanic White adults. Providers caring for Asian immigrants should provide tailored and culturally informed care to improve the cardiovascular health of this diverse group.

BACKGROUND: African immigrant (AI) women remain burdened by cervical cancer, but the prevalence and correlates of Pap testing remains unclear in this population.

OBJECTIVE: To review studies on the prevalence and determinants of Pap testing among AI women living in developed countries.

METHODS: PubMed, CINAHL, Embase, and Scopus were searched for relevant articles that included African-born immigrant participants; were published in English; addressed the prevalence of Pap testing; conducted in a developed country; and identified correlates of Pap testing behavior. The Andersen Behavioral Model guided synthesis of the key findings.

RESULTS: Sixteen studies met the inclusion criteria. The prevalence of Pap testing ranged from 4.6% to 73.0%. Having a female provider and access to primary care facilitated Pap testing. Barriers to Pap testing included low income, male healthcare providers, and no history of gynecological exam.

CONCLUSIONS: Healthcare providers and social determinants-particularly income and healthcare access, play an important role in improving Pap testing among AI women. Larger qualitative and mixed methods studies are needed to explore other important determinants of Pap testing such as disease knowledge, self-efficacy, health literacy to reduce the burden of cervical cancer among AI women.