Screening for Immigration-Related Health Concerns in a Federally Qualified Health Center Serving a Diverse Latinx Community: A Mixed Methods Study

Order Keepers or Immigration Agents? Latine Immigrant Views of Law Enforcement in Healthcare Settings

BACKGROUND

Police and security presence in healthcare settings have grown. There are few studies exploring perceptions of these law enforcement agents among US Latine immigrants, who can be vulnerable to immigration enforcement actions due to past and ongoing criminalization and anti-immigrant policies.

OBJECTIVE

To explore Latine immigrants' perceptions of law enforcement in healthcare settings.

DESIGN

Exploratory, semi-structured qualitative interviews asked participants about their perspectives of law enforcement in healthcare settings.

PARTICIPANTS

English- and Spanish-speaking adult patients (n = 19) from a Federally Qualified Health Center (FQHC) in Los Angeles, CA, serving predominantly low-income Latine immigrants.

APPROACH

We used the framework method for analysis to establish a codebook and inform our thematic interpretation.

KEY RESULTS

We identified three themes: (1) perceptions of safety offered by police officers are separated from the role of immigration officers; (2) perceptions of police officers are integrated into broader perceptions of the healthcare system; and (3) lived experiences, including immigration status, influenced valence response to officer uniforms and perceptions of officers. Most participants viewed police officers positively as maintaining order and safety, separating them from federal immigration enforcement actions, and reflecting on local, state, and organizational "sanctuary" or immigrant-friendly policies. Individuals with precarious immigration status more often saw officers as intimidating. Immigration enforcement remained a key concern.

CONCLUSIONS

Differentiating police and security roles from immigration enforcement in healthcare could improve Latine immigrant trust and access. Future studies should explore perspectives of Latine immigrants in localities without sanctuary laws or organizational immigrant-friendly policies.

Social Risk Screening and Response Equity: Assessment by Race, Ethnicity, and Language in Community Health Centers

INTRODUCTION

Little has previously been reported about the implementation of social risk screening across racial/ethnic/language groups. To address this knowledge gap, the associations between race/ethnicity/language, social risk screening, and patient-reported social risks were examined among adult patients at community health centers.

METHODS

Patient- and encounter-level data from 2016 to 2020 from 651 community health centers in 21 U.S. states were used; data were extracted from a shared Epic electronic health record and analyzed between December 2020 and February 2022. In adjusted logistic regression analyses stratified by language, robust sandwich variance SE estimators were applied with clustering on patient's primary care facility.

RESULTS

Social risk screening occurred at 30% of health centers; 11% of eligible adult patients were screened. Screening and reported needs varied significantly by race/ethnicity/language. Black Hispanic and Black non-Hispanic patients were approximately twice as likely to be screened, and Hispanic White patients were 28% less likely to be screened than non-Hispanic White patients. Hispanic Black patients were 87% less likely to report social risks than non-Hispanic White patients. Among patients who preferred a language other than English or Spanish, Black Hispanic patients were 90% less likely to report social needs than non-Hispanic White patients.

CONCLUSIONS

Social risk screening documentation and patient reports of social risks differed by race/ethnicity/language in community health centers. Although social care initiatives are intended to promote health equity, inequitable screening practices could inadvertently undermine this goal. Future implementation research should explore strategies for equitable screening and related interventions.

Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos

INTRODUCTION

Country of birth/nativity information may be crucial to understanding health equity in Latino populations and is routinely called for in health services literature assessing cardiovascular disease and risk, but is not thought to co-occur with longitudinal, objective health information such as that found in electronic health records (EHRs).

METHODS

We used a multistate network of community health centres to describe the extent to which country of birth is recorded in EHRs in Latinos, and to describe demographic features and cardiovascular risk profiles by country of birth. We compared geographical/demographic/clinical characteristics, from 2012 to 2020 (9 years of data), of 914 495 Latinos recorded as US-born, non-US-born and without a country of birth recorded. We also described the state in which these data were collected.

RESULTS

Country of birth was collected for 127 138 Latinos in 782 clinics in 22 states. Compared with those with a country of birth recorded, Latinos without this record were more often uninsured and less often preferred Spanish. While covariate adjusted prevalence of heart disease and risk factors were similar between the three groups, when results were disaggregated to five specific Latin countries (Mexico, Guatemala, Dominican Republic, Cuba, El Salvador), significant variation was observed, especially in diabetes, hypertension and hyperlipidaemia.

CONCLUSIONS

In a multistate network, thousands of non-US-born, US-born and patients without a country of birth recorded had differing demographic characteristics, but clinical variation was not observed until data was disaggregated into specific country of origin. State policies that enhance the safety of immigrant populations may enhance the collection of health equity related data. Rigorous and effective health equity research using Latino country of birth information paired with longitudinal healthcare information found in EHRs might have significant potential for aiding clinical and public health practice, but it depends on increased, widespread and accurate availability of this information, co-occurring with other robust demographic and clinical data nativity.

Association of Unmet Social Needs with Chronic Illness: A Cross-Sectional Study

Screening for social needs during routine medical visits is increasingly common. To date, there are limited data on which social needs are most predictive of health outcomes. The aim of this study is to build a predictive model from integrated social needs screening and health data to identify individual or clusters of social needs that are predictive of chronic illnesses. Using the electronic medical record data from a Federally Qualified Health Center collected from January 2016 to December 2020, demographic, diagnosis, and social needs screening data were used to look at adjusted and unadjusted associations of individual unmet social needs with chronic illnesses (n = 2497). The least absolute shrinkage and selection operator (LASSO) model was used to identify which social need(s) were associated with overall burden of chronic illness, and individual diagnoses of hypertension, obesity, diabetes, and psychiatric illness. The LASSO model identified age, race, language, gender, insurance, transportation, and food insecurity as significant predictors of any chronic illness. Using these variables in a multivariable model, transportation (adjusted odds ratio [aOR] 1.66) was the only social need that remained significantly associated with chronic illness diagnosis. Transportation need was also significantly associated with diabetes (aOR 1.44) and psychiatric illness (aOR 1.98). Food insecurity was associated with obesity (aOR 10.21). Using LASSO models to identify significant social needs, transportation was identified as a predictor in 3 of the 5 models. Further research is warranted to evaluate if addressing patients' transportation needs has the potential to mitigate chronic disease sequelae for vulnerable adults to advance health equity.

A Snapshot of Social Risk Factors and Associations with Health Outcomes in a Community Sample of Middle Eastern and North African (MENA) People in the U.S

Social factors (e.g. housing, food security, etc.) contribute significantly to health. The purpose of this study is to describe social risk and social exclusion factors in one of the largest Middle Eastern and North African (MENA) populations in the U.S. and their association with health outcomes. We conducted a cross-sectional study with a community convenience sample of 412 adults who self-identify as MENA. Weighted, adjusted linear regression models were used to examine relationships of interest. Prevalent social risks included transportation barriers to healthcare (33%), food insecurity (33%), and financial strain (25%). In adjusted models, perception of being treated unfairly (Estimate (SE) 0.08 (0.04), p < 0.05) and fear of deportation (0.26 (0.06), p < 0.001) were associated with more social risk factors. More social risk factors were associated with worse self-reported health (0.09 (0.03), p < 0.01), more chronic conditions (0.11 (0.03), p < 0.004), and more mental health symptoms (0.34 (0.14) p < 0.01).Social risk is high among those perceiving unfairness and fear deportation. Those with more social risk factors reported worse health. These findings have implications for social needs screening and referral models that can best serve U.S. MENA sub-populations.

Health Related Social Needs Among Chinese American Primary Care Patients During the COVID-19 Pandemic: Implications for Cancer Screening and Primary Care

Research Objective: Initiatives to address social determinants of health (SDOH) and measure health-related social needs (HRSN) within clinic settings are increasing. However, few have focused on the specific needs of Asian Americans (AA). We examine the prevalence of HRSN during a period spanning the COVID-19 pandemic to inform strategies to improve cancer screening and primary care among AA patients. Methods: We implemented a self-administered HRSN screening tool in English and Chinese, traditional (T) or simplified (S) text, within a hospital-affiliated, outpatient primary care practice predominantly serving AA in New Jersey. HRSN items included food insecurity, transportation barriers, utility needs, interpersonal violence, housing instability, immigration history, and neighborhood perceptions on cohesion and trust. We conducted medical chart reviews for a subset of participants to explore the relationship between HRSN and history of cancer screening. Results: Among 236 participants, most were Asian (74%), non-US born (79%), and privately insured (57%). One-third responded in Chinese (37%). Half reported having ≥1 HRSN. Interpersonal violence was high across all participants. Transportation needs were highest among Chinese-T participants, while food insecurity and housing instability were higher among Chinese-S participants. Lower-income patients had higher odds of having ≥2 HRSN (OR:2.53, 95% CI: 1.12, 5.98). Older age and public insurance/uninsured were significantly associated with low neighborhood perceptions. Conclusions: We observed higher than anticipated reports of HRSN among primary care patients in a suburban, hospital-affiliated practice serving AA. Low neighborhood perceptions, particularly among Chinese-S participants, highlight the importance of addressing broader SDOH among insured, suburban AA patients. These study findings inform the need to augment HRSN identification to adequately address social needs that impact health outcomes and life course experiences for Asian patients. As HRSN measuring efforts continue, and COVID-19's impact on the health of minority communities emerge, it will be critical to develop community-specific referral pathways to connect AA to resources for HRSN and continue to address more upstream social determinants of health for those who are disproportionately impacted.