Childhood Opportunity and Acute Interstage Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Analysis.

BACKGROUND: The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes. METHODS: Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders. RESULTS: The analysis cohort included 1837 patients from 69 centers. Birth weight (P<0.001) and proximity to a surgical center at birth (P=0.02) increased with COI level. Stage 1 length of stay decreased (P=0.001), and exclusive oral feeding rate at discharge increased (P<0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes. CONCLUSIONS: Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation.

Type 2 Diabetes.

Type 2 diabetes (T2D) is a prevalent disease that increases risk for vascular, renal, and neurologic complications. Prevention and treatment of T2D and its complications are paramount. Many advancements in T2D care have emerged over the past 5 years, including increased understanding of the importance of early intensive glycemic control, mental health, social determinants of health, healthy eating patterns, continuous glucose monitoring, and the benefits of some drugs for preventing cardiorenal disease. This review summarizes the evidence supporting T2D prevention and treatment, focusing on aspects that are commonly in the purview of primary care physicians.

Equity considerations in clinical practice guidelines for traumatic brain injury and the criminal justice system: A systematic review.

BACKGROUND: Traumatic brain injury (TBI) is disproportionately prevalent among individuals who intersect or are involved with the criminal justice system (CJS). In the absence of appropriate care, TBI-related impairments, intersecting social determinants of health, and the lack of TBI awareness in CJS settings can lead to lengthened sentences, serious disciplinary charges, and recidivism. However, evidence suggests that most clinical practice guidelines (CPGs) overlook equity and consequently, the needs of disadvantaged groups. As such, this review addressed the research question "To what extent are (1) intersections with the CJS considered in CPGs for TBI, (2) TBI considered in CPGs for CJS, and (3) equity considered in CPGs for CJS?". METHODS AND FINDINGS: CPGs were identified from electronic databases (MEDLINE, Embase, CINAHL, PsycINFO), targeted websites, Google Search, and reference lists of identified CPGs on November 2021 and March 2023 (CPGs for TBI) and May 2022 and March 2023 (CPGs for CJS). Only CPGs for TBI or CPGs for CJS were included. We calculated the proportion of CPGs that included TBI- or CJS-specific content, conducted a qualitative content analysis to understand how evidence regarding TBI and the CJS was integrated in the CPGs, and utilised equity assessment tools to understand if and how equity was considered. Fifty-seven CPGs for TBI and 6 CPGs for CJS were included in this review. Fourteen CPGs for TBI included information relevant to the CJS, but only 1 made a concrete recommendation to consider legal implications during vocational evaluation in the forensic context. Two CPGs for CJS acknowledged the prevalence of TBI among individuals in prison and one specifically recommended considering TBI during health assessments. Both CPGs for TBI and CPGs for CJS provided evidence specific to a single facet of the CJS, predominantly in policing and corrections. The use of equity best practices and the involvement of disadvantaged groups in the development process were lacking among CPGs for CJS. We acknowledge limitations of the review, including that our searches were conducted in English language and thus, we may have missed other non-English language CPGs in this review. We further recognise that we are unable to comment on evidence that is not integrated in the CPGs, as we did not systematically search for research on individuals with TBI who intersect with the CJS, outside of CPGs. CONCLUSIONS: Findings from this review provide the foundation to consider CJS involvement in CPGs for TBI and to advance equity in CPGs for CJS. Conducting research, including investigating the process of screening for TBI with individuals who intersect with all facets of the CJS, and utilizing equity assessment tools in guideline development are critical steps to enhance equity in healthcare for this disadvantaged group.

Social determinants of health inequalities in early phase clinical trials in Northern England.

BACKGROUND: Early phase clinical trials in Oncology represent a subspecialised area where UK patient selection is influenced by access to Experimental Cancer Medicine Centres (ECMCs). Equity of access with respect to social determinants of health (SDoH) were explored for two major ECMCs. METHODS: A retrospective cohort study including all referrals to Newcastle and Manchester ECMCs in 2021 was completed. Consent to screening or pre-screening was stratified against SDoH characteristics, including: Index of Multiple Deprivation (IMD) decile, ethnicity and distance to centre. RESULTS: 1243 patients were referred for trials. IMD quintile 1 (most deprived) patients had reduced likelihood of referral compared to expected population models (OR, 0.67; 95% CI: 0.55 to 0.80, p = <0.0001). IMD quintile 5 (least deprived) had increased likelihood of referral (OR, 1.46; 95% CI: 1.17 to 1.82, p = 0.0007). Living beyond median distance from Manchester reduced the likelihood of consenting to trials (OR, 0.72; 95% CI: 0.55 to 0.94, p = 0.015). Ethnicity data represented a White British propensity. CONCLUSIONS: Inequalities in socioeconomic and geographic factors influence referral and enrolment to early phase clinical trials in Northern England. This has implications for equity of access and generalisability of trial results internationally and warrants further study.

Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting.

Social determinants of health (SDOH) are important predictors of poor clinical outcomes in chronic diseases, but their associations among the general cirrhosis population and liver transplantation (LT) are limited. We conducted a retrospective, multiinstitutional analysis of adult (≥18-years-old) patients with cirrhosis in metropolitan Chicago to determine the associations of poor neighborhood-level SDOH on decompensation complications, mortality, and LT waitlisting. Area deprivation index and covariates extracted from the American Census Survey were aspects of SDOH that were investigated. Among 15 101 patients with cirrhosis, the mean age was 57.2 years; 6414 (42.5%) were women, 6589 (43.6%) were non-Hispanic White, 3652 (24.2%) were non-Hispanic Black, and 2662 (17.6%) were Hispanic. Each quintile increase in area deprivation was associated with poor outcomes in decompensation (sHR [subdistribution hazard ratio] 1.07; 95% CI 1.05-1.10; P < .001), waitlisting (sHR 0.72; 95% CI 0.67-0.76; P < .001), and all-cause mortality (sHR 1.09; 95% CI 1.06-1.12; P < .001). Domains of SDOH associated with a lower likelihood of waitlisting and survival included low income, low education, poor household conditions, and social support (P < .001). Overall, patients with cirrhosis residing in poor neighborhood-level SDOH had higher decompensation, and mortality, and were less likely to be waitlisted for LT. Further exploration of structural barriers toward LT or optimizing health outcomes is warranted.

Current opinion: Racial and ethnic health disparities in multiple sclerosis: considering the social determinants of health.

PURPOSE OF REVIEW: We discuss racial and ethnic disparities in multiple sclerosis (MS), outcomes, and social determinants of health (SDoH). We also provide essential considerations needed to bridge the gap in inequalities, including broader representation of racial and ethnic people in clinical trials and research in general and the inclusion of better measures of living conditions. RECENT FINDINGS: The incidence and prevalence of MS have become more diverse in the USA. There is increased recognition that racial and ethnic health disparities and inequities exist due to adverse social conditions. Clinical trials have failed to be inclusive and diverse. Training in health disparity is an essential priority of funding sources, and designing clinical trials that consider the barriers these populations face can close significant gaps. SUMMARY: The incidence, prevalence, and awareness of MS have seen an incline in diverse racial and ethnic populations. Health disparities exist in MS with Black, Hispanic, and indigenous populations appearing to have worse outcomes. SDoH play a significant role in causing these health disparities. Accessibility to clinical trials and treatment are barriers these populations face. Strategic and earnest interventions considering SDoH are critically needed to develop solutions that collectively improve health and MS care for all.

Social Determinants of Health Framework to Identify and Reduce Barriers to Imaging in Marginalized Communities.

Social determinants of health (SDOH) are conditions influencing individuals' health based on their environment of birth, living, working, and aging. Addressing SDOH is crucial for promoting health equity and reducing health outcome disparities. For conditions such as stroke and cancer screening where imaging is central to diagnosis and management, access to high-quality medical imaging is necessary. This article applies a previously described structural framework characterizing the impact of SDOH on patients who require imaging for their clinical indications. SDOH factors can be broadly categorized into five sectors: economic stability, education access and quality, neighborhood and built environment, social and community context, and health care access and quality. As patients navigate the health care system, they experience barriers at each step, which are significantly influenced by SDOH factors. Marginalized communities are prone to disparities due to the inability to complete the required diagnostic or screening imaging work-up. This article highlights SDOH that disproportionately affect marginalized communities, using stroke and cancer as examples of disease processes where imaging is needed for care. Potential strategies to mitigate these disparities include dedicating resources for clinical care coordinators, transportation, language assistance, and financial hardship subsidies. Last, various national and international health initiatives are tackling SDOH and fostering health equity.

Unfavorable social determinants of health and mortality risk by cardiovascular disease status: Findings from a National Study of United States Adults.

BACKGROUND: The association between cumulative burden of unfavorable social determinants of health (SDoH) and all-cause mortality has not been assessed by atherosclerotic cardiovascular disease (ASCVD) status on a population level in the United States. METHODS: We assessed the association between cumulative social disadvantage and all-cause mortality by ASCVD status in the National Health Interview Survey, linked to the National Death Index. RESULTS: In models adjusted for established clinical risk factors, individuals experiencing the highest level of social disadvantage (SDoH-Q4) had over 1.5 (aHR = 1.55; 95%CI = 1.22, 1.96) and 2-fold (aHR = 2.21; 95% CI = 1.91, 2.56) fold increased risk of mortality relative to those with the most favorable social profile (SDoH-Q1), respectively for adults with and without ASCVD; those experiencing co-occurring ASCVD and high social disadvantage had up to four-fold higher risk of mortality (aHR = 3.81; 95%CI = 3.36, 4.32). CONCLUSIONS: These findings emphasize the importance of a healthcare model that prioritizes efforts to identify and address key social and environmental barriers to health and wellbeing, particularly in individuals experiencing the double jeopardy of clinical and social risk.

Design and rationale of the social determinants of the risk of hypertension in women of reproductive age (SAFE HEART) study: An American Heart Association research goes red initiative.

BACKGROUND: Cardiovascular health literacy (CVHL) and social determinants of health (SDoH) play interconnected and critical roles in shaping cardiovascular health (CVH) outcomes. However, awareness of CVH risk has declined markedly, from 65% of women being aware that cardiovascular disease (CVD) is the leading cause of death for women in 2009 to just 44% being aware in 2019. The American Heart Association Research Goes Red (RGR) initiative seeks to develop an open-source, longitudinal, dynamic registry that will help women to be aware of and participate in research studies, and to learn about CVD prevention. We proposed to leverage this platform, particularly among Black and Hispanic women of reproductive age, to address CVHL gaps and advance health equity. METHODS: The primary objective of the study is to evaluate the cross-sectional association of CVHL, SDoH using a polysocial score, and CVH in women of reproductive age at increased risk of developing hypertension (HTN). To achieve this we will use a cross-sectional study design, that engages women already enrolled in the RGR registry (registry-enrolled). To enhance the racial and ethnic/social economic diversity of the cohort, we will additionally enroll 300 women from the Baltimore and Washington D.C. community into the Social Determinants of the Risk of Hypertension in Women of Reproductive Age (SAFE HEART) Study. Community-enrolled and registry-enrolled women will undergo baseline social phenotyping including detailed SDoH questionnaire, CVH metrics assessment, and CVHL assessment. The secondary objective is to assess whether a 4-month active health education intervention will result in a change in CVHL in the 300 community-enrolled women. DISCUSSION: The SAFE HEART study examines the association between CVHL, SDoH, and CVH, with a focus on racial and ethnic minority groups and socioeconomically disadvantaged women of reproductive age, and the ability to improve these parameters by an educational intervention. These findings will inform the future development of community-engaged strategies that address CVHL and SDoH among women of reproductive age.

Lessons Learned from Immigrant Health Cohorts: A Review of the Evidence and Implications for Policy and Practice in Addressing Health Inequities among Asian Americans, Native Hawaiians, and Pacific Islanders.

The health of Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) is uniquely impacted by structural and social determinants of health (SSDH) shaped by immigration policies and colonization practices, patterns of settlement, and racism. These SSDH also create vast heterogeneity in disease risks across the AANHPI population, with some ethnic groups having high disease burden, often masked with aggregated data. Longitudinal cohort studies are an invaluable tool to identify risk factors of disease, and epidemiologic cohort studies among AANHPI populations have led to seminal discoveries of disease risk factors. This review summarizes the limited but growing literature, with a focus on SSDH factors, from seven longitudinal cohort studies with substantial AANHPI samples. We also discuss key information gaps and recommendations for the next generation of AANHPI cohorts, including oversampling AANHPI ethnic groups; measuring and innovating on measurements of SSDH; emphasizing the involvement of scholars from diverse disciplines; and, most critically, engaging community members to ensure relevancy for public health, policy, and clinical impact.

Leveraging Implementation Science to Advance Environmental Justice Research and Achieve Health Equity through Neighborhood and Policy Interventions.

Environmental justice research is increasingly focused on community-engaged, participatory investigations that test interventions to improve health. Such research is primed for the use of implementation science-informed approaches to optimize the uptake and use of interventions proven to be effective. This review identifies synergies between implementation science and environmental justice with the goal of advancing both disciplines. Specifically, the article synthesizes the literature on neighborhood-, community-, and policy-level interventions in environmental health that address underlying structural determinants (e.g., structural racism) and social determinants of health. Opportunities to facilitate and scale the equitable implementation of evidence-based environmental health interventions are highlighted, using urban greening as an illustrative example. An environmental justice-focused version of the implementation science subway is provided, which highlights these principles: Remember and Reflect, Restore and Reclaim, and Reinvest. The review concludes with existing gaps and future directions to advance the science of implementation to promote environmental justice.

Bridges and Mechanisms: Integrating Systems Science Thinking into Implementation Research.

We present a detailed argument for how to integrate, or bridge, systems science thinking and methods with implementation science. We start by showing how fundamental systems science principles of structure, dynamics, information, and utility are relevant for implementation science. Then we examine the need for implementation science to develop and apply richer theories of complex systems. This can be accomplished by emphasizing a causal mechanisms approach. Identifying causal mechanisms focuses on the "cogs and gears" of public health, clinical, and organizational interventions. A mechanisms approach focuses on how a specific strategy will produce the implementation outcome. We show how connecting systems science to implementation science opens new opportunities for examining and addressing social determinants of health and conducting equitable and ethical implementation research. Finally, we present case studies illustrating successful applications of systems science within implementation science in community health policy, tobacco control, health care access, and breast cancer screening.

Addressing Social Needs in Clinical Settings: Implementation and Impact on Health Care Utilization, Costs, and Integration of Care.

In recent years, health care policy makers have focused increasingly on addressing social drivers of health as a strategy for improving health and health equity. Impacts of social, economic, and environmental conditions on health are well established. However, less is known about the implementation and impact of approaches used by health care providers and payers to address social drivers of health in clinical settings. This article reviews current efforts by US health care organizations and public payers such as Medicaid and Medicare to address social drivers of health at the individual and community levels. We summarize the limited available evidence regarding intervention impacts on health care utilization, costs, and integration of care and identify key lessons learned from current implementation efforts.

Neighborhood-level social determinants of health measures independently predict receipt of living donor liver transplantation in the United States.

Disparities exist in the access to living donor liver transplantation (LDLT) in the United States. However, the association of neighborhood-level social determinants of health (SDoH) on the receipt of LDLT is not well-established. This was a retrospective cohort study of adult liver transplant recipients between January 1, 2005 and December 31, 2021 at centers performing LDLT using the United Network for Organ Sharing database, which was linked through patients' ZIP code to a set of 24 neighborhood-level SDoH measures from different data sources. Temporal trends and center differences in neighborhood Social Deprivation Index (SDI), a validated scale of socioeconomic deprivation ranging from 0 to 100 (0=least disadvantaged), were assessed by transplant type. Multivariable logistic regression evaluated the association of increasing SDI on receipt of LDLT [vs. deceased donor liver transplantation (DDLT)]. There were 51,721 DDLT and 4026 LDLT recipients at 59 LDLT-performing centers during the study period. Of the 24 neighborhood-level SDoH measures studied, the SDI was most different between the 2 transplant types, with LDLT recipients having lower SDI (ie, less socioeconomic disadvantage) than DDLT recipients (median SDI 37 vs. 47; p < 0.001). The median difference in SDI between the LDLT and DDLT groups significantly decreased from 13 in 2005 to 3 in 2021 ( p = 0.003). In the final model, the SDI quintile was independently associated with transplant type ( p < 0.001) with a threshold SDI of ~40, above which increasing SDI was significantly associated with reduced odds of LDLT (vs. reference SDI 1-20). As a neighborhood-level SDoH measure, SDI is useful for evaluating disparities in the context of LDLT. Center outreach efforts that aim to reduce disparities in LDLT could preferentially target US ZIP codes with SDI > 40.

Impact of social determinants of health on time to antiretroviral therapy initiation and HIV viral undetectability for migrants enrolled in a multidisciplinary HIV clinic with rapid, free, and onsite B/F/TAF: 'The ASAP study'.

OBJECTIVE: Multidisciplinary care with free, rapid, and on-site bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) dispensation may improve health outcomes among migrants living with HIV. However, models for rapid B/F/TAF initiation are not well studied among migrants living with HIV, and an understanding of how social determinants of health (SDH) may affect HIV-related health outcomes for migrants enrolled in such care models is limited. METHODS: Within a 96-week pilot feasibility prospective cohort study at a multidisciplinary HIV clinic, participants received free B/F/TAF rapidly after care linkage. The effects of SDH (i.e., birth region, sexual orientation, living status, education, employment, French proficiency, health coverage, use of a public health facility outside our clinic for free blood tests, and time in Canada) and other covariates (i.e., age, sex) on median time to antiretroviral therapy (ART) initiation and HIV viral undetectability from care linkage were calculated via survival analyses. RESULTS: Thirty-five migrants were enrolled in this study. Median time to ART initiation and HIV undetectability was 5 days (range 0-50) and 57 days (range 5-365), respectively. Those who took significantly longer to initiate ART were aged <35 years, identified as heterosexual, had less than university-level education, or were unemployed. No factor was found to significantly affect time to undetectability. CONCLUSION: Despite the provision of free B/F/TAF, several SDH were linked to delays in ART initiation. However, once initiated and engaged, migrants living with HIV reached HIV undetectability efficiently. Findings provide preliminary support for adopting this care model with migrants living with HIV and suggest that SDH should be considered when designing clinical interventions for more equitable outcomes.

Multimodal approaches for inequality in kidney care: turning social determinants of health into opportunities.

PURPOSE OF REVIEW: Kidney disease is associated with major health and economic burdens worldwide, disproportionately carried by people in low and middle socio-demographic index quintile countries and in underprivileged communities. Social determinants such as education, income and living and working conditions strongly influence kidney health outcomes. This review synthesised recent research into multimodal interventions to promote kidney health equity that focus on the social determinants of health. RECENT FINDINGS: Inequity in kidney healthcare commonly arises from nationality, race, sex, food insecurity, healthcare access and environmental conditions, and affects kidney health outcomes such as chronic kidney disease progression, dialysis and transplant access, morbidity and mortality. Multimodal approaches to addressing this inequity were identified, targeted to: patients, families and caregivers (nutrition, peer support, financial status, patient education and employment); healthcare teams (workforce, healthcare clinician education); health systems (data coding, technology); communities (community engagement); and health policy (clinical guidelines, policy, environment and research). SUMMARY: The engagement of diverse patients, families, caregivers and communities in healthcare research and implementation, as well as clinical care delivery, is vital to counteracting the deleterious effects of social determinants of kidney health.

Socioeconomic Factors Influencing Pediatric Peak Oxygen Consumption Prediction.

OBJECTIVE: To determine if socioeconomic status (SES) has a greater effect than standard demographic values on predicted peak oxygen consumption (pVO2). STUDY DESIGN: We conducted a single-institution, retrospective analysis of maximal cardiopulmonary exercise test (CPET) data from 2010 to 2020 for healthy patients age <19 years with body mass index (BMI) percentile (BMI%) between 5-95. Data were sorted by self-identified race, BMI%, and adjusted gross income (AGI); AGI served as a surrogate for SES. Mean percent predicted pVO2 (pppVO2) was compared between groups. Linear regression was used to adjust for differences. RESULTS: A total of 541 CPETs met inclusion criteria. Mean pppVO2 was 97% ± 22.6 predicted (P < .01) with 30% below criterion standard for normal (85% predicted). After excluding unknown AGI and race, 418 CPETs remained. Mean pppVO2 was lower for Blacks (n = 36) and Latinx (n = 26) compared with Whites (n = 333, P < .01). Mean pppVO2 declined as AGI decreased (P < .01). The differences in pppVO2 between racial categories remained significant when adjusted for BMI% (Black r = -7.3, P = .035; Latinx r = -15.4, P < .01). These differences both decreased in magnitude and were no longer significant when adjusted for AGI (Black r = -6.0, P = .150; Latinx r = -9.3, P = .06). CONCLUSIONS: Lower SES correlates with lower measured cardiovascular fitness and may confound data interpretation. When using normative reference ranges in clinical decision making, providers should recognize that social determinants of health may influence predicted fitness. Social inequities should be considered when assessing pediatric cardiovascular fitness.

The Child Opportunity Index 2.0 and Disparities in Pediatric Cardiorespiratory Fitness.

OBJECTIVE: To evaluate the effect of neighborhood-level characteristics on cardiorespiratory fitness (CRF) via peak oxygen consumption (VO2peak) for healthy pediatric patients. STUDY DESIGN: The institutional cardiopulmonary exercise testing (CPET) database was analyzed retrospectively. All patients aged ≤ 18 years without a diagnosis of cardiac disease and with a maximal effort CPET were included. Patients were divided into three self-identified racial categories: White, Black, and Latinx. The Child Opportunity Index (COI) 2.0 was used to analyze social determinants of health. CRF was evaluated based on COI quintiles and race. Assessment of the effect of COI on racial disparities in CRF was performed using ANCOVA. RESULTS: A total of 1753 CPETs met inclusion criteria. The mean VO2peak was 42.1 ± 9.8 mL/kg/min. The VO2peak increased from 39.1 ± 9.6 mL/kg/min for patients in the very low opportunity cohort to 43.9 ± 9.4 mL/kg/min for patients in the very high opportunity cohort. White patients had higher percent predicted VO2peak compared with both Black and Latinx patients (P < .01 for both comparisons). The racial differences in CRF were no longer significant when adjusting for COI. CONCLUSION: In a large pediatric cohort, COI was associated with CRF. Racial disparities in CRF are reduced when accounting for modifiable risk factors.

Associations between Child Opportunity Index and Pediatric Cardiac Surgical Outcomes.

OBJECTIVE: To assess the relationship between the Child Opportunity Index (COI), a comprehensive measurement of social determinants of health, and specific COI domains on patient-specific outcomes following congenital cardiac surgery in the metropolitan region of Atlanta, Georgia. STUDY DESIGN: In this retrospective chart review, we included patients who underwent an index operation for congenital heart disease between 2010 and 2020 in a single pediatric health care system. Patients' addresses were geocoded and mapped to census tracts. Descriptive statistics, univariable analysis, and multivariable regression models were employed to assess associations between variables and outcomes. RESULTS: Of the 7460 index surgeries, 3798 (51%) met eligibility criteria. Presence of an adverse outcome, defined as either mortality or 1 of several other major postoperative morbidities, was significantly associated with COI in the univariable model (P = .008), but not the multivariable regression model (P = .39). Postoperative hospital length of stay was significantly associated with COI (P < .001) in univariable and multivariable regression models. There was no significant association between COI and readmission within 30 days of hospital discharge in univariable (P < .094) and multivariable (P = .49) models. CONCLUSION: COI is associated with postoperative hospital length of stay but not all outcomes in patients after congenital heart surgery. By understanding the role of COI in outcomes related to cardiac surgery, targeted interventions can be developed to improve health equity.

Readmission After Neonatal Intensive Care Unit Discharge: The Importance of Social Drivers of Health.

OBJECTIVE: To determine associations between sociodemographic and medical factors and odds of readmission after discharge from the neonatal intensive care unit for infants with very low birth weight (<1500g). STUDY DESIGN: Cohort study using linked data from the California Perinatal Quality Care Collaborative, California Vital Statistics, and the Child Opportunity Index (COI) 2.0. Infants with very low birth weight born from 2009 through 2018 in California were considered. Odds ratios of readmission within 30 days of discharge adjusting for infant medical factors, maternal sociodemographic factors, and birth hospital were calculated via multivariable logistic regression and fixed-effect logistic regression models. RESULTS: A total of 42 411 infants met inclusion criteria. Also, 8.5% of all infants were readmitted within 30 days of discharge. In addition to traditional medical risk factors, two sociodemographic factors were significantly associated with increased odds of readmission in adjusted models: payor other than private insurance for delivery [aOR = 1.25 (95% CI 1.14-1.36)] and maternal education of less than high school degree [aOR = 1.19 (95% CI 1.06-1.33)]. Neighborhood Child Opportunity Index was not associated with odds of readmission. CONCLUSIONS: Sociodemographic factors, including lack of private insurance and lower maternal educational attainment, are significantly and independently associated with increased odds of readmission after neonatal intensive care unit discharge, in addition to traditional medical risk factors. Socioeconomic deprivation and health literacy may contribute to risk of readmission. Targeted discharge interventions focused on addressing social drivers of health warrant exploration.