A Mixed-methods Approach to Understanding Language Interpretation Services in Health Care Settings among Asian American Immigrants from Diverse Ethnic Backgrounds.

BACKGROUND: Asian Americans (AA) face cultural and linguistic barriers to health care access, resulting in poor health outcomes. This study investigates the experiences of AAs using language interpretation services (LIS) in health care settings. METHODS: Using a mixed-methods approach, we conducted a community survey (N=401) and seven focus groups between April and September 2023. We use the Andersen model to understand the experience around LIS for AAs and calculated descriptive statistics for predisposing (i.e., sociodemographic factors and attitudes toward LIS), enabling (i.e., perceived barriers), and need factors (i.e., perceived need for LIS). Focus groups were analyzed using a modified template approach to text analysis. RESULTS: Quantitative and qualitative analyses found that although AAs recognize the benefits and need for LIS, various barriers (e.g., lack of interpreters when booking an appointment) preclude these communities from accessing these services. CONCLUSIONS: Results from this study will help inform interventions that seek to improve LIS within health care systems.

Mixed methods approach to understanding COVID-19 vaccine hesitancy among immigrants in the Chicago.

BACKGROUND: COVID-19 vaccine hesitancy has been particularly high among immigrant populations, whose experience is shaped by a history of racism and discriminations, and distrust of the healthcare system. In this study we draw from the Theory of Planned Behavior to examine COVID-19 vaccine hesitancy among immigrants in Chicago. METHODS: A mixed-methods approach comprising of both focus groups and a health survey was conducted from February to August 2022. Five focus groups were held (N = 35) among Black, Asian and Arab/Palestine participants to understand attitudes and beliefs around the COVID-19 vaccine. Focus groups were analyzed using a modified template approach to text analysis. Based on these findings and themes, we developed a survey that was conducted among 413 immigrants from the mentioned communities. We used hierarchical ordinal regression analyses to examine the relationship between COVID-19 vaccine hesitancy and vaccination status. RESULTS: Qualitative analysis suggest that the major factors influencing COVID-19 vaccine hesitancy included fear of adverse reactions, misinformation around COVID-19 and the vaccine, negative social norms around vaccination, and external pressure to get vaccinated. From our quantitative analysis we found that 24% of participants were unvaccinated, 5% were partially vaccinated, 32.3% were vaccinated but not boosted, and 39% were vaccinated and boosted for COVID-19. Hierarchical regression models suggest that immigrants who hold negative attitudes and social norms around the COVID-19 vaccine are less likely to vaccinate. CONCLUSIONS: Understanding vaccine hesitancy among immigrants allows for the creation of culturally and linguistically tailored education that can be utilized to increase vaccine confidence and uptake.

Smoking behavior among Asian Americans during the initial phase of the COVID-19 pandemic: The influence of pandemic stressors and depression.

INTRODUCTION: Heightened levels of distress among Asian Americans during the initial phases of the pandemic may be associated with current smoking behavior. In this study, we examine differences in current smoking among Asian Americans from two different ethnic backgrounds before and during the COVID-19 pandemic. METHODS: We analyzed cross-sectional survey data (n=202) from Chinese and South Asian adults in Chicago, collected between February and May 2020. We conducted logistic regression models to estimate the relationship between exposure to the COVID-19 pandemic and current smoking. We tested whether the association varied by Asian American ethnic group, unemployment, racial discrimination, and depression symptoms. RESULTS: We found that current smoking increased from 28% to 48% among Asian Americans (i.e. Chinese and South Asians) during the pandemic. We found a statistically significant interaction between the COVID-19 period indicator variable and current smoking by Asian American ethnic groups (p=0.014), such that current smoking was lower for Chinese compared to South Asians before COVID-19, but was comparable for both groups during the pandemic. We also found a statistically significant interaction between the period indicator variable and current smoking by racial discrimination (p=0.047) and depression symptoms (p=0.02). Results from these interactions suggest that Asian Americans who experienced racial discrimination and depression during the pandemic may be more likely to be current smokers compared to their pre-pandemic counterparts. CONCLUSIONS: The findings of the study highlight the need for culturally tailored smoking cessation interventions for Asian American communities that address pandemic-related stressors such as discrimination that may trigger cigarette use.

Prevalence of 12 Common Health Conditions in Sexual and Gender Minority Participants in the All of Us Research Program.

Importance: Limited data describe the health status of sexual or gender minority (SGM) people due to inaccurate and inconsistent ascertainment of gender identity, sex assigned at birth, and sexual orientation. Objective: To evaluate whether the prevalence of 12 health conditions is higher among SGM adults in the All of Us Research Program data compared with cisgender heterosexual (non-SGM) people. Design, Setting, and Participants: This cross-sectional study used data from a multidisciplinary research consortium, the All of Us Research Program, that links participant-reported survey information to electronic health records (EHR) and physical measurements. In total, 372 082 US adults recruited and enrolled at an All of Us health care provider organization or by directly visiting the enrollment website from May 31, 2017, to January 1, 2022, and were assessed for study eligibility. Exposures: Self-identified gender identity and sexual orientation group. Main Outcomes and Measures: Twelve health conditions were evaluated: 11 using EHR data and 1, body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), using participants' physical measurements. Logistic regression (adjusting for age, income, and employment, enrollment year, and US Census division) was used to obtain adjusted odds ratios (AORs) for the associations between each SGM group and health condition compared with a non-SGM reference group. Results: The analytic sample included 346 868 participants (median [IQR] age, 55 [39-68] years; 30 763 [8.9%] self-identified as SGM). Among participants with available BMI (80.2%) and EHR data (69.4%), SGM groups had higher odds of anxiety, depression, HIV diagnosis, and tobacco use disorder but lower odds of cardiovascular disease, kidney disease, diabetes, and hypertension. Estimated associations for asthma (AOR, 0.39 [95% CI, 0.24-0.63] for gender diverse people assigned male at birth; AOR, 0.51 [95% CI, 0.38-0.69] for transgender women), a BMI of 25 or higher (AOR, 1.65 [95% CI, 1.38-1.96] for transgender men), cancer (AOR, 1.15 [95% CI, 1.07-1.23] for cisgender sexual minority men; AOR, 0.88 [95% CI, 0.81-0.95] for cisgender sexual minority women), and substance use disorder (AOR, 0.35 [95% CI, 0.24-0.52] for gender diverse people assigned female at birth; AOR, 0.65 [95% CI, 0.49-0.87] for transgender men) varied substantially across SGM groups compared with non-SGM groups. Conclusions and Relevance: In this cross-sectional analysis of data from the All of Us Research Program, SGM participants experienced health inequities that varied by group and condition. The All of Us Research Program can be a valuable resource for conducting health research focused on SGM people.

The impact of neighborhood disadvantage on colorectal cancer screening among African Americans in Chicago.

Historically, colorectal cancer (CRC) screening rates have been lower among African Americans. Previous studies that have examined the relationship between community characteristics and adherence to CRC screening have generally focused on a single community parameter, making it challenging to evaluate the overall impact of the social and built environment. In this study, we will estimate the overall effect of social and built environment and identify the most important community factors relevant to CRC screening. Data are from the Multiethnic Prevention and Surveillance Study (COMPASS), a longitudinal study among adults in Chicago, collected between May 2013 to March 2020. A total 2,836 African Americans completed the survey. Participants' addresses were geocoded and linked to seven community characteristics (i.e., community safety, community crime, household poverty, community unemployment, housing cost burden, housing vacancies, low food access). A structured questionnaire measured adherence to CRC screening. Weighted quantile sum (WQS) regression was used to evaluate the impact of community disadvantages on CRC screening. When analyzing all community characteristics as a mixture, overall community disadvantage was associated with less adherence to CRC screening even after controlling for individual-level factors. In the adjusted WQS model, unemployment was the most important community characteristic (37.6%), followed by community insecurity (26.1%) and severe housing cost burden (16.3%). Results from this study indicate that successful efforts to improve adherence to CRC screening rates should prioritize individuals living in communities with high rates of insecurity and low socioeconomic status.

Achieving a Representative Sample of Asian Americans in Biomedical Research Through Community-Based Approaches: Comparing Demographic Data in the All of Us Research Program With the American Community Survey.

BACKGROUND: Underrepresented persons are often not included in biomedical research. It is unknown if the general Asian American population is being represented in All of Us. The purpose of this study was to compare the Asian demographic data in the All of Us cohort with the Asian nationally representative data from the American Community Survey. METHOD: Demographic characteristics and health literacy of Asians in All of Us were examined. Findings were qualitatively compared with the Asian data in the 2019 American Community Survey 1-year estimate. RESULTS: Compared with the national composition of Asians, less All of Us participants were born outside the United States (64% vs 79%), were younger, and had higher levels of education (76% vs 52%). Over 60% of All of Us participants reported high levels of health literacy. CONCLUSION: This study had implications for the development of strategies that ensure diverse populations are represented in biomedical research.

Establishing a National Engagement Strategy for Recruiting Asian Americans and Other Minorities into Biomedical Research.

BACKGROUND: The All of Us Research Program seeks to advance precision medicine and reduce health disparities by recruiting people in demographic categories that are underrepresented in biomedical research. Asian Americans, Native Hawaiians and Pacific Islanders are the most understudied of all racial/ethnic groups in the United States. We propose a national engagement strategy for the recruitment of Asian Americans, Native Hawaiians and Pacific Islanders into biomedical research using a community-based participatory research approach. METHODS: We partnered with Asian serving community-based organizations across the United States to increase education and awareness and developed a culturally and linguistically tailored approach for the engagement of AANHPIs into All of Us Research Program. RESULTS: In the first year, our national engagement strategy reached more than 35,000 AANHPIs through promotional events and educational sessions. CONCLUSIONS: Our success is a result of our equal and mutually beneficial partnership with community-based organizations who have access to rich, local knowledge and hold a unique role within the community.

Prevalence of Depression Symptoms Before and During the COVID-19 Pandemic Among Two Asian American Ethnic Groups.

Asian Americans have experienced compounding stressors during the pandemic as a result of racial discrimination. We aim of to investigate the prevalence of depression symptoms among Asian Americans before and during the COVID-19 pandemic and examine differences based on socio-demographic factors. Data are from a cross-sectional study (N = 636) among Chinese and South Asian adults in Chicago collected between February and May 2020. One cohort of participants were surveyed from each ethnic group before the pandemic and a second cohort of participants were surveyed during the pandemic. Depression symptoms increased more than two-fold, from 9% pre-pandemic to 21% during the COVID-19 pandemic. We found an increase in depression symptoms during the pandemic for South Asians, men and adults older than 30 years. These findings call for public health education that effectively addresses anti-Asian harassment and violence and ensure that culturally competent mental health services are provided to Asian Americans from diverse ethnic backgrounds.

Identifying actionable strategies: using Consolidated Framework for Implementation Research (CFIR)-informed interviews to evaluate the implementation of a multilevel intervention to improve colorectal cancer screening.

BACKGROUND: Many evidence-based interventions (EBIs) found to be effective in research studies often fail to translate into meaningful patient outcomes in practice. The purpose of this study was to identify facilitators and barriers that affect the implementation of three EBIs to improve colorectal cancer (CRC) screening in an urban federally qualified health center (FQHC) and offer actionable recommendations to improve future implementation efforts. METHODS: We conducted 16 semi-structured interviews guided by the Consolidation Framework for Implementation Research (CFIR) to describe diverse stakeholders' implementation experience. The interviews were conducted in the participant's clinic, audio-taped, and professionally transcribed for analysis. RESULTS: We used the five CFIR domains and 39 constructs and subconstructs as a coding template to conduct a template analysis. Based on experiences with the implementation of three EBIs, stakeholders described barriers and facilitators related to the intervention characteristics, outer setting, and inner setting. Implementation barriers included (1) perceived burden and provider fatigue with EHR (Electronic Health Record) provider reminders, (2) unreliable and ineffectual EHR provider reminders, (3) challenges to providing health care services to diverse patient populations, (4) lack of awareness about CRC screening among patients, (5) absence of CRC screening goals, (6) poor communication on goals and performance, and (7) absence of printed materials for frontline implementers to educate patients. Implementation facilitators included (1) quarterly provider assessment and feedback reports provided real-time data to motivate change, (2) integration with workflow processes, (3) pressure from funding requirement to report quality measures, (4) peer pressure to achieve high performance, and (5) a culture of teamwork and patient-centered mentality. CONCLUSIONS: The CFIR can be used to conduct a post-implementation formative evaluation to identify barriers and facilitators that influenced the implementation. Furthermore, the CFIR can provide a template to organize research data and synthesize findings. With its clear terminology and meta-theoretical framework, the CFIR has the potential to promote knowledge-building for implementation. By identifying the contextual determinants, we can then determine implementation strategies to facilitate adoption and move EBIs to daily practice.

Implementing a multilevel intervention to accelerate colorectal cancer screening and follow-up in federally qualified health centers using a stepped wedge design: a study protocol.

BACKGROUND: Screening for colorectal cancer (CRC) not only detects disease early when treatment is more effective but also prevents cancer by finding and removing precancerous polyps. Because many of our nation's most disadvantaged and vulnerable individuals obtain health care at federally qualified health centers, these centers play a significant role in increasing CRC screening among the most vulnerable populations. Furthermore, the full benefits of cancer screenings must include timely and appropriate follow-up of abnormal results. Thus, the purpose of this study is to implement a multilevel intervention to increase rates of CRC screening, follow-up, and referral-to-care in federally qualified health centers, as well as simultaneously to observe and to gather information on the implementation process to improve the adoption, implementation, and sustainment of the intervention. The multilevel intervention will target three different levels of influences: organization, provider, and individual. It will have multiple components, including provider and staff education, provider reminder, provider assessment and feedback, patient reminder, and patient navigation. METHODS: This study is a multilevel, three-phase, stepped wedge cluster randomized trial with four clusters of clinics from four different FQHC systems. In the first phase, there will be a 3-month waiting period during which no intervention components will be implemented. After the 3-month waiting period, we will randomize two clusters to cross from the control to the intervention and the remaining two clusters to follow 3 months later. All clusters will stay at the same phase for 9 months, followed by a 3-month transition period, and then cross over to the next phase. DISCUSSION: There is a pressing need to reduce disparities in CRC outcomes, especially among racial/ethnic minority populations and among populations who live in poverty. Single-level interventions are often insufficient to lead to sustainable changes. Multilevel interventions, which target two or more levels of changes, are needed to address multilevel contextual influences simultaneously. Multilevel interventions with multiple components will affect not only the desired outcomes but also each other. How to take advantage of multilevel interventions and how to implement such interventions and evaluate their effectiveness are the ultimate goals of this study. TRIAL REGISTRATION: This protocol is registered at clinicaltrials.gov ( NCT04514341 ) on 14 August 2020.

Effectiveness and Cost of Implementing Evidence-Based Interventions to Increase Colorectal Cancer Screening Among an Underserved Population in Chicago.

With funding from the Centers for Disease Control and Prevention's Colorectal Cancer Control Program, The University of Chicago Center for Asian Health Equity partnered with a federally qualified health center (FQHC) to implement multiple evidence-based interventions (EBIs) in order to improve colorectal cancer (CRC) screening uptake. The purpose of this study is to determine the effectiveness and cost of implementing a provider reminder system entered manually and supplemented with patient reminders and provider assessment and feedback. The FQHC collected demographic characteristics of the FQHC and outcome data from January 2015 through December 2015 (preimplementation period) and cost from January 2016 through September 2017 (implementation period). Cost data were collected for the implementation period. We report on the demographics of the eligible population, CRC screening order, completion rates by sociodemographic characteristics, and, overall, the effectiveness and cost of implementation. From the preimplementation phase to the implementation phase, there was a 21.2 percentage point increase in CRC screens completed. The total cost of implementing EBIs was $40908.97. We estimated that an additional 283 screens were completed because of the interventions, and the implementation cost of the interventions was $144.65 per additional screen. With the interventions, CRC screening uptake in Chicago increased for all race/ethnicity and demographic backgrounds at the FQHC, particularly for patients aged 50 to 64 years and for Asian, Hispanic, and uninsured patients.

Economic assessment of patient navigation to colonoscopy-based colorectal cancer screening in the real-world setting at the University of Chicago Medical Center.

BACKGROUND: This report details the cost effectiveness of a non-nurse patient navigation (PN) program that was implemented at the University of Chicago Medical Center to increase colonoscopy-based colorectal cancer (CRC) screening. METHODS: The authors investigated the impact of the PN intervention by collecting process measures. Individuals who received navigation were compared with a historic cohort of non-navigated patients. In addition, a previously validated data-collection instrument was tailored and used to collect all costs related to developing, implementing, and administering the program; and the incremental cost per patient successfully navigated (the cost of the intervention divided by the change in the number who complete screening) was calculated. RESULTS: The screening colonoscopy completion rate was 85.1% among those who were selected to receive PN compared with 74.3% when no navigation was implemented. With navigation, the proportion of no-shows was 8.2% compared with 15.4% of a historic cohort of non-navigated patients. Because the perceived risk of noncompletion was greater among those who received PN (previous no-show or cancellation, poor bowel preparation) than that in the historic cohort, a scenario analysis was performed. Assuming no-show rates between 0% and 50% and using a navigated rate of 85%, the total incremental program cost per patient successfully navigated ranged from $148 to $359, whereas the incremental intervention-only implementation cost ranged from $88 to $215. CONCLUSIONS: The current findings indicate that non-nurse PN can increase colonoscopy completion, and this can be achieved at a minimal incremental cost for an insured population at an urban academic medical center.

Are We Missing the Mark? The Implementation of Community Based Participatory Education in Cancer Disparities Curriculum Development.

OBJECTIVE: The Chicago south side, even more so than national populations, continues to be burdened with widening gaps of disparities in cancer outcomes. Therefore, Chicago community members were engaged in addressing the following content areas for a cancer disparities curriculum: (1) the south side Chicago community interest in participating in curriculum design, (2) how community members should be involved in designing cancer disparities curriculum, and (3) what community members believe the curriculum should address to positively impact their community. METHODS: Eighty-six community members from 19 different zip code areas of Chicago attended the deliberative session. A survey composed of three quantitative and three short-answer content questions was analyzed. RESULTS: The majority of participants were from the south side of Chicago (62 %) and females (86 %). Most, 94 %, believed community members should be involved in cancer disparities curriculum development. Moreover, 56 % wanted to be involved in designing the curriculum, and 61 % reported an interest in taking a course in cancer disparities. Three categorical themes were derived from the qualitative questions: (1) community empowerment through disparities education-"a prescription for change," (2) student skill development in community engagement and advocacy training, and (3) community expression of shared experiences in cancer health disparities. CONCLUSION: The community provided valuable input for curricular content and has an interest in collaborating on cancer disparities curriculum design. Community participation must be galvanized to improve disparities curricular development and delivery to successfully address the challenges of eliminating disparities in health.

Web-based primary care referral program associated with reduced emergency department utilization.

BACKGROUND AND OBJECTIVES: Uninsured patients without a primary care home tend to use the emergency department (ED) for primary care. We examined whether an enhanced scheduling system for follow-up care from the University of New Mexico Hospital Emergency Department (UNMH-ED) that assigns patients to a family medicine home can decrease ED utilization. METHODS: The Community Access Program for Central New Mexico (CAP-NM) is a consortium of primary care safety net provider organizations. CAP-NM developed a HIPAA-compliant (Health Insurance Portability and Accountability Act), Web-based information system used by the UNMH-ED to refer uninsured, unassigned patients to family medicine practices ("homes") within the consortium. The Web site referral system operated 24 hours a day, 7 days a week; printed maps to clinic sites; and listed services offered. Analysis of quality assurance data compared (1) ED utilization outcomes of eligible patients referred by the CAP-NM Web site to a family medicine home to (2) outcomes of controls discharged from the ED in the usual manner. RESULTS: The 756 patients referred to family medicine homes through the CAP-NM Web site demonstrated a significant 31% reduction in subsequent ED visits compared to controls. This reduction was most evident among those who had infrequent ED use before institution of the program. CONCLUSIONS: Implementing an enhanced referral system to family medicine homes from the ED is associated with decreased subsequent ED utilization by uninsured patients.