Pre-COVID-19 Social Determinants of Health Among Mexican Migrants in Los Angeles and New York City and Their Increased Vulnerability to Unfavorable Health Outcomes During the COVID-19 Pandemic

COVID-19 has disproportionally affected underrepresented minorities (URM) and low-income immigrants in the United States. The aim of the study is to examine the underlying vulnerabilities of Mexican immigrants in New York City (NYC) and Los Angeles (LA), its correspondence with area-level COVID-19 morbidity and mortality, and to document the role of trusted and culturally sensitive services offered during the pandemic through the Ventanillas de Salud (i.e. VDS, Health Windows) program. The study uses a mixed-methods approach including a cross-sectional survey of Mexican immigrants in LA and NYC collected in the Mexican Consulates at the onset of the pandemic, complemented with a georeferencing analysis and key informant interviews. Data suggested an increased vulnerability to COVID-19 given participants reported health status, health care profile and place of residence, which coincided with the georeferencing analysis. The key informant interviews confirmed the vulnerability of this population and the supporting role of VDS in helping immigrants navigate health systems and disseminate health information. Mexican immigrants had an increased vulnerability to COVID-19 at the individual, geographic and systemic levels. Trusted and culturally sensitive services are needed to overcome some of the barriers and risk factors that increase the vulnerability of URM and immigrant populations to COVID-19

Racial and ethnic disparities in telehealth use before and after California's stay-at-home order

IntroductionTelehealth can potentially improve the quality of healthcare through increased access to primary care. While telehealth use increased during the COVID-19 pandemic, racial/ethnic disparities in the use of telemedicine persisted during this period. Little is known about the relationship between health coverage and patient race/ethnicity after the onset of the COVID-19 pandemic.ObjectiveThis study examines how differences in patient race/ethnicity and health coverage are associated with the number of in-person vs. telehealth visits among patients with chronic conditions before and after California's stay-at-home order (SAHO) was issued on 19 March 2020.MethodsWe used weekly patient visit data (in-person (N = 63, 491) and telehealth visits (N = 55, 472)) from seven primary care sites of an integrated, multi-specialty medical group in Los Angeles County that served a diverse patient population between January 2020 and December 2020 to examine differences in telehealth visits reported for Latino and non-Latino Asian, Black, and white patients with chronic conditions (type 2 diabetes, pre-diabetes, and hypertension). After adjusting for age and sex, we estimate differences by race/ethnicity and the type of insurance using an interrupted time series with a multivariate logistic regression model to study telehealth use by race/ethnicity and type of health coverage before and after the SAHO. A limitation of our research is the analysis of aggregated patient data, which limited the number of individual-level confounders in the regression analyses.ResultsOur descriptive analysis shows that telehealth visits increased immediately after the SAHO for all race/ethnicity groups. Our adjusted analysis shows that the likelihood of having a telehealth visit was lower among uninsured patients and those with Medicaid or Medicare coverage compared to patients with private insurance. Latino and Asian patients had a lower probability of telehealth use compared with white patients.DiscussionTo address access to chronic care management through telehealth, we suggest targeting efforts on uninsured adults and those with Medicare or Medicaid coverage, who may benefit from increased telehealth use to manage their chronic care

Development of an activity disease score in patients with uveitis (UVEDAI)

To develop a disease activity index for patients with uveitis (UVEDAI) encompassing the relevant domains of disease activity considered important among experts in this field. The steps for designing UVEDAI were: (a) Defining the construct and establishing the domains through a formal judgment of experts, (b) A two-round Delphi study with a panel of 15 experts to determine the relevant items, (c) Selection of items: A logistic regression model was developed that set ocular inflammatory activity as the dependent variable. The construct "uveitis inflammatory activity" was defined as any intraocular inflammation that included external structures (cornea) in addition to uvea. Seven domains and 15 items were identified: best-corrected visual acuity, inflammation of the anterior chamber (anterior chamber cells, hypopyon, the presence of fibrin, active posterior keratic precipitates and iris nodules), intraocular pressure, inflammation of the vitreous cavity (vitreous haze, snowballs and snowbanks), central macular edema, inflammation of the posterior pole (the presence and number of choroidal/retinal lesions, vascular inflammation and papillitis), and global assessment from both (patient and physician). From all the variables studied in the multivariate model, anterior chamber cell grade, vitreous haze, central macular edema, inflammatory vessel sheathing, papillitis, choroidal/retinal lesions and patient evaluation were included in UVEDAI. UVEDAI is an index designed to assess the global ocular inflammatory activity in patients with uveitis. It might prove worthwhile to motorize the activity of this extraarticular manifestation of some rheumatic diseases

Maternal height and double-burden of malnutrition households in Mexico: stunted children with overweight or obese mothers

ObjectiveTo assess the association between short maternal height and four types of mother-child nutritional status groupings within Mexican households.DesignWe classified mother-child dyads into four groups: stunted child and a non-overweight/non-obese mother (stunting-only), non-stunted child and an overweight/obese mother (overweight-only), stunted child with an overweight/obese mother (double-burden) and households with neither child stunting nor overweight/obese mothers (neither-condition). We assessed the association between maternal height and mother-child nutrition status using multinomial logistic regression, controlling for socio-economic covariates.SettingNationally representative cross-section of households from the 2012 Mexican National Health and Nutrition Survey.ParticipantsChildren <5 years of age were matched to their mothers, resulting in a sample of 4706 mother-child dyads.ResultsWe found that among children with stunting, 53·3% have an overweight/obese mother. Double-burden was observed in 8·1% of Mexican households. Maternal short stature increased the probability of stunting-only by 3·5% points (p.p.) and double-burden by 9·7 p.p. (P < 0·05). The inverse association was observed for overweight-only and neither-condition households, where the probability of these outcomes decreased by 7·2 and 6 p.p. in households with short-statured mothers (P < 0·05), respectively.ConclusionsWomen with short stature are more likely to develop overweight and simultaneously have a stunted child than those who are not short-statured. Our findings underline the challenges faced by public health systems, which have to balance the provision of services for both an undernourished and increasingly overweight/obese population

Avoiding Medicaid enrollment after the reversal of the changes in the public charge rule among Latino and Asian immigrants.

OBJECTIVE: To estimate the avoidance of Medicaid enrollment among Latino and Asian immigrants due to fears about immigration status. In 2019, changes to the public charge rule made it difficult for immigrants to receive a green card or permanent residence visa, particularly for those who used health and nutrition benefits. Despite the Biden administrations reversal of these changes, fear and misinformation persist among immigrants. DATA SOURCES: Pooled data from the 2017 to 2020 California Health Interview Survey. STUDY DESIGN: We used adjusted predicted probability models to estimate differences in access to and use of health care and health insurance coverage among Latino and Asian immigrant adults with and without green cards, using US citizens as the reference. We estimated the avoidance of Medicaid enrollment among immigrants without a green card, the immigrant population subject to the public charge rule. DATA COLLECTION/EXTRACTION METHODS: Population stratified by race/ethnicity and green card status. PRINCIPAL FINDINGS: Latino immigrants without a green card were -23.1% (CI: -27.8, -18.4) less likely to be insured, -9.2% (CI: -12.8, -5.5) less likely to have Medicaid coverage, -9.3% (CI: -14.5, -4.1) less likely to have a usual source of care, and -8.4% (CI: -13.2, -0.3) less likely to have a physician visit relative to citizens. Asian immigrants without a green card were -11.7% (CI: -19.7, -3.72) less likely to be insured, -8.8% (CI: -11.6, -6.1) less likely to have Medicaid coverage, -11.6% (CI: -19.3, -3.9) less likely to have a usual source of care, and -11.0% (CI: -19.2, -2.3) less likely to have a physician visit. Between 107,956 and 192,905 Latino immigrants and 1294 and 4702 Asian immigrants in California likely avoided Medicaid enrollment due to fears about their immigration status. CONCLUSION: While our estimates are lower than those of previous studies, our findings highlight barriers to health care for immigrants despite the reversal of the changes in the public charge rule. Since the public charge rule was not abolished, immigrants with low incomes might choose not to seek health care, despite recent efforts in California to expand Medicaid coverage to all eligible immigrants regardless of documentation statuses

Health Policy Challenges Posed By Shifting Demographics And Health Trends Among Immigrants To The United States

Since the 1960s the immigrant population in the United States has increased fourfold, reaching 44.7 million, or 13.7 percent of the US population, in 2018. The shifting immigrant demography presents several challenges for US health policy makers. We examine recent trends in immigrant health and health care after the Great Recession and the nationwide implementation of the Affordable Care Act. Recent immigrants are more likely to have lower incidence of chronic health conditions than other groups in the US, although these differences vary along the citizenship and documentation status continuum. Health care inequities among immigrants and US-born residents increased after the Great Recession and later diminished after the Affordable Care Act took effect. Unremitting inequities remain, however, particularly among noncitizen immigrants. The number of aging immigrants is growing, which will present a challenge to the expansion of coverage to this population. Health care and immigration policy changes are needed to integrate immigrants successfully into the US health care system

Racial and ethnic disparities in telehealth use before and after Californias stay-at-home order.

INTRODUCTION: Telehealth can potentially improve the quality of healthcare through increased access to primary care. While telehealth use increased during the COVID-19 pandemic, racial/ethnic disparities in the use of telemedicine persisted during this period. Little is known about the relationship between health coverage and patient race/ethnicity after the onset of the COVID-19 pandemic. OBJECTIVE: This study examines how differences in patient race/ethnicity and health coverage are associated with the number of in-person vs. telehealth visits among patients with chronic conditions before and after Californias stay-at-home order (SAHO) was issued on 19 March 2020. METHODS: We used weekly patient visit data (in-person (N = 63, 491) and telehealth visits (N = 55, 472)) from seven primary care sites of an integrated, multi-specialty medical group in Los Angeles County that served a diverse patient population between January 2020 and December 2020 to examine differences in telehealth visits reported for Latino and non-Latino Asian, Black, and white patients with chronic conditions (type 2 diabetes, pre-diabetes, and hypertension). After adjusting for age and sex, we estimate differences by race/ethnicity and the type of insurance using an interrupted time series with a multivariate logistic regression model to study telehealth use by race/ethnicity and type of health coverage before and after the SAHO. A limitation of our research is the analysis of aggregated patient data, which limited the number of individual-level confounders in the regression analyses. RESULTS: Our descriptive analysis shows that telehealth visits increased immediately after the SAHO for all race/ethnicity groups. Our adjusted analysis shows that the likelihood of having a telehealth visit was lower among uninsured patients and those with Medicaid or Medicare coverage compared to patients with private insurance. Latino and Asian patients had a lower probability of telehealth use compared with white patients. DISCUSSION: To address access to chronic care management through telehealth, we suggest targeting efforts on uninsured adults and those with Medicare or Medicaid coverage, who may benefit from increased telehealth use to manage their chronic care

Forgoing Healthcare in a Global Pandemic: The Chilling Effects of the Public Charge Rule among Children in California

This policy brief estimates the potential chilling effects of the approved changes to the public charge rule on children’s access to healthcare across 7 California regions