Racial, ethnic, and socio-economic disparities in neonatal ICU admissions among neonates born with cyanotic CHD in the United States, 2009-2018.

INTRODUCTION: Disparities in CHD outcomes exist across the lifespan. However, less is known about disparities for patients with CHD admitted to neonatal ICU. We sought to identify sociodemographic disparities in neonatal ICU admissions among neonates born with cyanotic CHD. MATERIALS & METHODS: Annual natality files from the US National Center for Health Statistics for years 2009-2018 were obtained. For each neonate, we identified sex, birthweight, pre-term birth, presence of cyanotic CHD, and neonatal ICU admission at time of birth, as well as maternal age, race, ethnicity, comorbidities/risk factors, trimester at start of prenatal care, educational attainment, and two measures of socio-economic status (Special Supplemental Nutrition Program for Women, Infants, and Children [WIC] status and insurance type). Multivariable logistic regression models were fit to determine the association of maternal socio-economic status with neonatal ICU admission. A covariate for race/ethnicity was then added to each model to determine if race/ethnicity attenuate the relationship between socio-economic status and neonatal ICU admission. RESULTS: Of 22,373 neonates born with cyanotic CHD, 77.2% had a neonatal ICU admission. Receipt of WIC benefits was associated with higher odds of neonatal ICU admission (adjusted odds ratio [aOR] 1.20, 95% CI 1.1-1.29, p < 0.01). Neonates born to non-Hispanic Black mothers had increased odds of neonatal ICU admission (aOR 1.20, 95% CI 1.07-1.35, p < 0.01), whereas neonates born to Hispanic mothers were at lower odds of neonatal ICU admission (aOR 0.84, 95% CI 0.76-0.93, p < 0.01). CONCLUSION: Maternal Black race and low socio-economic status are associated with increased risk of neonatal ICU admission for neonates born with cyanotic CHD. Further work is needed to identify the underlying causes of these disparities.

The family burden of paediatric heart disease during the chronic phase of illness.

BACKGROUND: CHD is a lifelong condition with a significant burden of disease to patients and families. With increased survival, attention has shifted to longer-term outcomes, with a focus on social determinants of health. Among children with CHD, socioeconomic status is associated with disparities in outcomes. Household material hardship is a concrete measure of poverty and may serve as an intervenable measure of socioeconomic status. METHODS: A longitudinal survey study was conducted at multiple time points (at acute hospitalisation, then 12-24 months later in the chronic phase) to determine the prevalence of household material hardship among parents of children with advanced heart disease and quality of life during long-term follow-up. RESULTS: The analytic cohort was 160 children with a median patient age of 1 year (IQR 1,4) with 54% of patients <2 years. During acute hospitalisation, over one-third of families reported household material hardship (37%), with significantly lower household material hardship in the chronic phase at 16% (N = 9 of 52). For parents reporting household material hardship during acute hospitalisation, 50% had resolution of household material hardship by the chronic phase. Household material hardship-exposed children were significantly more likely to be publicly insured (56% versus 20%, p = 0.03) with lower quality of life than those without household material hardship (64% versus 82%, p = 0.013). CONCLUSION: The burden of heart disease during the chronic phase of illness is high. Household material hardship may serve as a target to ensure equity in the care and outcomes of CHD patients and their families.

Centering Health Equity Within COVID-19 Contact Tracing: Connecticut's Community Outreach Specialist Program.

CONTEXT: The COVID-19 pandemic has disproportionately impacted vulnerable populations, including those who are non-English-speaking and those with lower socioeconomic status; yet, participation of these groups in contact tracing was initially low. Distrust of government agencies, anticipated COVID-19-related stigma, and language and cultural barriers between contact tracers and communities are common challenges. PROGRAM: The Community Outreach Specialist (COS) program was established within the Connecticut Department of Public Health (DPH) COVID-19 contact tracing program to encourage participation in contact tracing and address a need for culturally competent care and social and material support among socially vulnerable and non-English-speaking populations in 11 high-burden jurisdictions in Connecticut. IMPLEMENTATION: In partnership with state and local health departments, we recruited 25 COS workers with relevant language skills from target communities and trained them to deliver contact tracing services to vulnerable and non-English speaking populations. EVALUATION: We conducted a cross-sectional analysis using data from ContaCT, DPH's enterprise contact tracing system. Overall, the COS program enrolled 1938 cases and 492 contacts. The proportion of residents reached (ie, called and interviewed) in the COS program was higher than that in the regular contact tracing program for both cases (70% vs 57%, P < .001) and contacts (84% vs 64%, P < .001). After adjusting for client age, sex, race and ethnicity, language, and jurisdiction, we found that the COS program was associated with increased reach for contacts (odds ratio [OR] = 1.52; 95% confidence interval [95% CI], 1.17-1.99) but not for cases (OR = 0.78; 95% CI, 0.70-0.88). Rapid qualitative analysis of programmatic field notes and meeting reports provided evidence that the COS program was feasible and acceptable to clients and contributed to COVID-19 education and communication efforts. CONCLUSION: A COS program employing a client-centered, community-engaged strategy for reaching vulnerable and non-English-speaking populations was feasible and more effective at reaching contacts than standard COVID-19 contact tracing.

In Medicaid Managed Care Networks, Care Is Highly Concentrated Among A Small Percentage Of Physicians.

States have increasingly outsourced the provision of Medicaid services to private managed care plans. To ensure that plans maintain access to care, many states set network adequacy standards that require plans to contract with a minimum number of physicians. In this study we used data from the period 2015-17 for four states to assess the level of Medicaid participation among physicians listed in the provider network directories of each managed care plan. We found that about one-third of outpatient primary care and specialist physicians contracted with Medicaid managed care plans in our sample saw fewer than ten Medicaid beneficiaries in a year. Care was highly concentrated: 25 percent of primary care physicians provided 86 percent of the care, and 25 percent of specialists, on average, provided 75 percent of the care. Our findings suggest that current network adequacy standards might not reflect actual access; new methods are needed that account for beneficiaries' preferences and physicians' willingness to serve Medicaid patients.

Association of Financial Hardship Because of Medical Bills With Adverse Outcomes Among Families of Children With Congenital Heart Disease.

Importance: Congenital heart disease (CHD) carries significant health care costs and out-of-pocket expenses for families. Little is known about how financial hardship because of medical bills affects families' access to essential needs or medical care. Objective: To assess the national prevalence of financial hardship because of medical bills among families of children with CHD in the US and the association of financial hardship with adverse outcomes. Design, Setting, and Participants: This cross-sectional survey study used data on children 17 years and younger with self-reported CHD from the National Health Interview Survey of US households between 2011 and 2017. Data were analyzed from March 2019 to April 2020. Exposures: Financial hardship because of medical bills was classified into 3 categories: no financial hardship, financial hardship but able to pay medical bills, and unable to pay medical bills. Main Outcomes and Measures: Food insecurity, delayed care because of cost, and cost-related medication nonadherence. Results: Of 188 families of children with CHD (weighted sample of 151 537 families), 48.9% reported some financial hardship because of medical bills, with 17.0% being unable to pay their medical bills at all. Compared with those who denied financial hardships because of medical bills, families who were unable to pay their medical bills reported significantly higher rates of food insecurity (61.8% [SE, 11.0] vs 13.6% [SE, 4.0]; P < .001) and delays in care because of cost (26.2% [SE, 10.4] vs 4.8% [SE, 2.5]; P = .002). Reported medication adherence did not differ across financial hardship groups. After adjusting for age, race/ethnicity, and maternal education, the differences between the groups persisted. The association of financial hardship with adverse outcomes was stronger among patients with private insurance than those with Medicaid. Conclusions and Relevance: In this study, financial hardship because of medical bills was common among families of children with CHD and was associated with high rates of food insecurity and delays in care because of cost, suggesting possible avenues for intervention.