Despite social care interventions gaining traction in the US healthcare sector in recent years, the scaling of healthcare practices to address social adversity and coordinate care across sectors has been modest. Against this backdrop, the coronavirus pandemic arrived, which re-emphasized the interdependence of the health and social care sectors and motivated health systems to scale tools for identifying and addressing social needs. A framework on integrating social care into health care delivery developed by the National Academies of Science, Engineering, and Medicine provides a useful organizing tool to understand the social care integration innovations spurred by COVID-19, including novel approaches to social risk screening and social care interventions. As the effects of the pandemic are likely to exacerbate socioeconomic barriers to health, it is an appropriate time to apply lessons learned during the recent months to re-evaluate efforts to strengthen, scale, and sustain the health care sector's social care activities.

Objective

Electronic Health Records (EHRs) increasingly include designated fields to capture social determinants of health (SDOH). We developed measures to characterize their use, and use of other SDOH data types, to optimize SDOH data integration.

Materials and methods

We developed 3 measures that accommodate different EHR data types on an encounter or patient-year basis. We implemented these measures-documented during encounter (DDE) captures documentation occurring during the encounter; documented by discharge (DBD) includes DDE plus documentation occurring any time prior to admission; and reviewed during encounter (RDE) captures whether anyone reviewed documented data-for the newly available structured SDOH fields and 4 other comparator SDOH data types (problem list, inpatient nursing question, social history free text, and social work notes) on a hospital encounter basis (with patient-year metrics in the Supplementary Appendix). Our sample included all patients (n = 27 127) with at least one hospitalization at UCSF Health (a large, urban, tertiary medical center) over a 1-year period.

Results

We observed substantial variation in the use of different SDOH EHR data types. Notably, social history question fields (newly added at study period start) were rarely used (DDE: 0.03% of encounters, DBD: 0.26%, RDE: 0.03%). Free-text patient social history fields had higher use (DDE: 12.1%, DBD: 49.0%, RDE: 14.4%).

Discussion

Our measures of real-world SDOH data use can guide current efforts to capture and leverage these data. For our institution, measures revealed substantial variation across data types, suggesting the need to engage in efforts such as EHR-user education and targeted workflow integration.

Conclusion

Measures revealed opportunities to optimize SDOH data documentation and review.

Recent studies have explored clinician impacts of health care-based interventions that respond to patients' social and economic needs. These studies were limited by available clinician data. We used the Commonwealth International Health Policy Survey of 890 primary care physicians to examine associations between clinic capacity to respond to patients' social needs and physician satisfaction, stress, and perceived medical care quality. Results suggest that perceived capacity to address social needs is strongly associated with both clinician satisfaction and perceived medical care quality. Our findings add to a growing literature on the potential return on investment of clinical interventions to address social needs.

Background

Social isolation is a known predictor of mortality that disproportionately affects vulnerable populations in the USA. Although experts began to recognize it as a public health crisis prior to 2020, the novel coronavirus pandemic has accelerated recognition of social isolation as a serious threat to health and well-being.

Objective

Examine patient experiences with screening and assistance for social isolation in primary care settings, and whether patient experiences with these activities are associated with the severity of reported social isolation.

Design

Cross-sectional survey conducted in 2018.

Participants

Adults (N = 251) were recruited from 3 primary care clinics in Boston, Chicago, and San Francisco.

Main measures

A modified version of the Berkman-Syme Social Network Index (SNI), endorsed by the National Academies of Sciences, Engineering, and Medicine; items to assess for prior experiences with screening and assistance for social isolation.

Key results

In the sample population, 12.4% reported the highest levels of social isolation (SNI = 0/1), compared to 36.7%, 34.7%, and 16.3% (SNI = 2-4, respectively). Most patients had not been asked about social isolation in a healthcare setting (87.3%), despite reporting no discomfort with social isolation screening (93.9%). Neither discomfort with nor participation in prior screening for social isolation was associated with social isolation levels. Desire for assistance with social isolation (3.2%) was associated with a higher level of social isolation (AOR = 6.0, 95% CI, 1.3-28.8), as well as poor or fair health status (AOR = 9.1; 95% CI, 1.3-64.1).

Conclusions

In this study, few patients reported being screened previously for social isolation in a primary care setting, despite low levels of discomfort with screening. Providers should consider broadening social isolation screening and referral practices in healthcare settings, especially among sicker and more isolated patients who express higher levels of interest in assistance with social isolation.

OBJECTIVE:Few studies report the impact of depression on inflammatory bowel disease (IBD)-related hospitalizations. We evaluated the association between depression and pediatric IBD-related hospitalizations. Our primary aim was to test the hypothesis that depression is associated with hospital length of stay (LOS); our secondary goal was to evaluate if patients with depression are at higher risk for undergoing additional imaging and procedures. METHODS:Data were extracted from the 2012 Kids Inpatient Database (KID), the largest nationally representative publicly available all-payer pediatric inpatient cross-sectional database in the United States. Hospitalizations for patients less than 21 years with a primary diagnosis Crohn disease (CD) or ulcerative colitis (UC) by ICD-9 code were included. Multivariable logistic regression was used to predict long LOS controlling for patient- and hospital-level variables and for potential disease confounders. RESULTS:For primary IBD-related hospitalizations (N = 8222), depression was associated with prolonged LOS (odds ratio [OR] 1.50; 95% confidence interval [CI] 1.19-1.90) and total parenteral nutrition use (OR 1.54; 95% CI 1.04-2.27). Depression was not associated with increased likelihood of surgery (OR 0.97; 95% CI 0.72-1.30), endoscopy (OR 0.91; 95% CI 0.74-1.14), blood transfusion (OR 0.85; 95% CI 0.58-1.23), or abdominal imaging (OR 1.15; 95% CI 0.53-2.53). CONCLUSIONS:Depression is associated with prolonged LOS in pediatric patients with IBD, even when controlling for gastrointestinal disease severity. Future research evaluating the efficacy of standardized depression screening and early intervention may be beneficial to improving inpatient outcomes in this population.

As evidence of the associations between social factors and health outcomes continues to mount, capturing and acting on social determinants of health (SDOH) in clinical settings has never been more relevant. Many professional medical organizations have endorsed screening for SDOH, and the U.S. Office of the National Coordinator for Health Information Technology has recommended increased capacity of health information technology to integrate and support use of SDOH data in clinical settings. As these efforts begin their translation to practice, a new subfield of health informatics is emerging, focused on the application of information technologies to capture and apply social data in conjunction with health data to advance individual and population health. Developing this dedicated subfield of informatics-which we term social informatics-is important to drive research that informs how to approach the unique data, interoperability, execution, and ethical challenges involved in integrating social and medical care.

Introduction

Previous studies that used traditional multivariable and sibling matched analyses to investigate interpregnancy interval (IPI) and birth outcomes have reached mixed conclusions about a minimum recommended IPI, raising concerns about confounding. Our objective was to isolate the contribution of interpregnancy interval to the risk for adverse birth outcomes using propensity score matching.

Methods

For this retrospective cohort study, data were drawn from a California Department of Health Care Access and Information database with linked vital records and hospital discharge records (2007-2012). We compared short IPIs of < 6, 6-11, and 12-17 months to a referent IPI of 18-23 months using 1:1 exact propensity score matching on 13 maternal sociodemographic and clinical factors. We used logistic regression to calculate the odds of preterm birth, early-term birth, and small for gestational age (SGA).

Results

Of 144,733 women, 73.6% had IPIs < 18 months, 5.5% delivered preterm, 27.0% delivered early-term, and 6.0% had SGA infants. In the propensity matched sample (n = 83,788), odds of preterm birth were increased among women with IPI < 6 and 6-11 months (OR 1.89, 95% CI 1.71-2.0; OR 1.22, 95% CI 1.13-1.31, respectively) and not with IPI 12-17 months (OR 1.01, 95% CI 0.94-1.09); a similar pattern emerged for early-term birth. The odds of SGA were slightly elevated only for intervals < 6 months (OR 1.10, 95% CI 1.00-1.20, p < .05).

Discussion

This study demonstrates a dose response association between short IPI and adverse birth outcomes, with no increased risk beyond 12 months. Findings suggest that longer IPI recommendations may be overly proscriptive.

Background

Structural racism contributes to racial disparities in adverse perinatal outcomes. We sought to determine if structural racism is associated with adverse outcomes among Black preterm infants postnatally.

Methods

Observational cohort study of 13,321 Black birthing people who delivered preterm (gestational age 22-36 weeks) in California in 2011-2017 using a statewide birth cohort database and the American Community Survey. Racial and income segregation was quantified by the Index of Concentration at the Extremes (ICE) scores. Multivariable generalized estimating equations regression models were fit to test the association between ICE scores and adverse postnatal outcomes: frequent acute care visits, readmissions, and pre- and post-discharge death, adjusting for infant and birthing person characteristics and social factors.

Results

Black birthing people who delivered preterm in the least privileged ICE tertiles were more likely to have infants who experienced frequent acute care visits (crude risk ratio [cRR] 1.3 95% CI 1.2-1.4), readmissions (cRR 1.1 95% CI 1.0-1.2), and post-discharge death (cRR 1.9 95% CI 1.2-3.1) in their first year compared to those in the privileged tertile. Results did not differ significantly after adjusting for infant or birthing person characteristics.

Conclusion

Structural racism contributes to adverse outcomes for Black preterm infants after hospital discharge.

Impact statement

Structural racism, measured by racial and income segregation, was associated with adverse postnatal outcomes among Black preterm infants including frequent acute care visits, rehospitalizations, and death after hospital discharge. This study extends our understanding of the impact of structural racism on the health of Black preterm infants beyond the perinatal period and provides reinforcement to the concept of structural racism contributing to racial disparities in poor postnatal outcomes for preterm infants. Identifying structural racism as a primary cause of racial disparities in the postnatal period is necessary to prioritize and implement appropriate structural interventions to improve outcomes.

Morbidity and mortality are greater among socially disadvantaged racial/ethnic groups and those of lower socioeconomic status (SES). Greater chronic stress exposure in disadvantaged groups may contribute to this by accelerating cellular aging, indexed by shorter age-adjusted telomere length. While studies consistently relate shorter leukocyte telomere length (LTL) to stress, the few studies, mostly from the UK, examining associations of LTL with SES have been mixed. The current study examined associations between educational attainment and LTL among 2599 high-functioning black and white adults age 70-79 from the Health, Aging and Body Composition Study. Multiple regression analyses tested associations of race/ethnicity, educational attainment and income with LTL, adjusting for potential confounders. Those with only a high school education had significantly shorter mean LTL (4806 basepairs) than those with post-high school education (4926 basepairs; B = 125, SE = 47.6, p = .009). A significant interaction of race and education (B = 207.8, SE = 98.7, p = .035) revealed more beneficial effects of post-high school education for blacks than for whites. Smokers had shorter LTL than non-smokers, but the association of education and LTL remained significant when smoking was covaried (B = 119.7, SE = 47.6, p = .012). While higher income was associated with longer LTL, the effect was not significant (p > .10). This study provides the first demonstration of an association between educational attainment and LTL in a US population where higher education appears to have a protective effect against telomere shortening, particularly in blacks.