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Objective The use of controlled medications such as opioids, stimulants, anabolic steroids, depressants, and hallucinogens has led to an increase in addiction, overdose, and death. Given the high attributes of abuse and dependency, prescription drug monitoring programs (PDMPs) were introduced in the United States as a state-level intervention. Materials and methods Using cross-sectional data from the 2019 National Electronic Health Records Survey, we assessed the association between PDMP usage and reduced or eliminated controlled substance prescribing as well as the association between PDMP usage and changing a controlled substance prescription to a nonopioid pharmacologic therapy or nonpharmacologic therapy. We applied survey weights to produce physician-level estimates from the survey sample. Results Adjusting for physician age, sex, type of medical degree, specialty, and ease of PDMP, we found that physicians who reported “often” PDMP usage had 2.34 times the odds of reducing or eliminating controlled substance prescriptions compared to physicians who reported never using the PDMP (95% confidence interval [CI] 1.12–4.90). Adjusting for physician age, sex, type of doctor, and specialty, we found that physicians who reported “often” use of the PDMP had 3.65 times the odd of changing controlled substance prescriptions to a nonopioid pharmacologic therapy or nonpharmacologic therapy (95% CI: 1.61–8.26). Discussion These results support the continued use, investment, and expansion of PDMPs as an effective intervention for reducing controlled substance prescription and changing to nonopioid/pharmacologic therapy. Conclusion Overall, frequent usage of PDMPs was significantly associated with reducing, eliminating, or changing controlled substance prescription patterns.

Healthcare organizations are increasing social determinants of health (SDH) screening and documentation in the electronic health record (EHR). Physicians may use SDH data for medical decision-making and to provide referrals to social care resources. Physicians must be aware of these data to use them, however, and little is known about physicians’ awareness of EHR-based SDH documentation or documentation capabilities. We therefore leveraged national physician survey data to measure level of awareness and variation by physician, practice, and EHR characteristics to inform practice- and policy-based efforts to drive medical-social care integration. We identify higher levels of social needs documentation awareness among physicians practicing in community health centers, those participating in payment models with social care initiatives, and those aware of other advanced EHR functionalities. Findings indicate that there are opportunities to improve physician education and training around new EHR-based SDH functionalities.

This secondary analysis of a randomized clinical trial compares the use of a social resources handout alone vs a handout plus guidance for children’s health and health services use.

Computable social risk factor phenotypes derived from routinely collected structured electronic health record (EHR) or health information exchange (HIE) data may represent a feasible and robust approach to measuring social factors. This study convened an expert panel to identify and assess the quality of individual EHR and HIE structured data elements that could be used as components in future computable social risk factor phenotypes.Technical expert panel.A 2-round Delphi technique included 17 experts with an in-depth knowledge of available EHR and/or HIE data. The first-round identification sessions followed a nominal group approach to generate candidate data elements that may relate to socioeconomics, cultural context, social relationships, and community context. In the second-round survey, panelists rated each data element according to overall data quality and likelihood of systematic differences in quality across populations (ie, bias).Panelists identified a total of 89 structured data elements. About half of the data elements (n = 45) were related to socioeconomic characteristics. The panelists identified a diverse set of data elements. Elements used in reimbursement-related processes were generally rated as higher quality. Panelists noted that several data elements may be subject to implicit bias or reflect biased systems of care, which may limit their utility in measuring social factors.Routinely collected structured data within EHR and HIE systems may reflect patient social risk factors. Identifying and assessing available data elements serves as a foundational step toward developing future computable social factor phenotypes.

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.

Objective To assess whether disparities in asthma care and outcomes based on insurance type existed before a national quality improvement (QI) collaborative, and to determine the effects of the collaborative on these disparities. Methods Secondary analysis of data from Pathways for Improving Pediatric Asthma Care (PIPA), a national collaborative to standardize emergency department (ED) and inpatient asthma management. PIPA included children aged 2 to 17 with a diagnosis of asthma. Disparities were examined based on insurance status (public vs private). Outcomes included guideline adherence and health care utilization measures, assessed for 12 months before and 15 months after the start of PIPA. Results We analyzed 19,204 ED visits and 11,119 hospitalizations from 89 sites. At baseline, children with public insurance were more likely than those with private insurance to receive early administration of corticosteroids (52.3% vs 48.9%, P= .01). However, they were more likely to be admitted (20.0% vs 19.4%, P = .01), have longer inpatient length of stay (31 vs 29 hours, P = .01), and have a readmission/ED revisit within 30 days (7.4% vs 5.6%, P = .02). We assessed the effects of PIPA on these disparities by insurance status and found no significant changes across 6 guideline adherence and 4 health care utilization measures. Conclusion At baseline, children with public insurance had higher asthma health care utilization than those with private insurance, despite receiving more evidence-based care. The PIPA collaborative did not affect pre-existing disparities in asthma outcomes. Future research should identify effective strategies for leveraging QI to better address disparities.

Objective Examine the risk of adverse perinatal outcomes among the United States (US)-born and foreign-born Black women in California. Study design The study comprised all singleton live births to Black women in California between 2011 and 2017. We defined maternal nativity as US-born or foreign-born. Using Poisson regression, we computed risk ratios (RR) and 95% confidence intervals (CI) for three adverse perinatal outcomes: preterm birth, small for gestational age deliveries, and infant mortality. Results Rates of adverse perinatal outcomes were significantly higher among US-born Black women. In adjusted models, US-born Black women experienced an increased risk of preterm birth (RR 1.51, 95% CI 1.39, 1.65) and small for gestational age deliveries (RR 1.52, 95% CI 1.41, 1.64), compared to foreign-born Black women. Conclusions Future studies should consider experiences of racism across the life course when exploring heterogeneity in the risk of adverse perinatal outcomes by nativity among Black women in the US.

Health disparities in juvenile idiopathic arthritis (JIA) remain poorly understood. Social disadvantage may have a cumulative impact on health, with recent analyses using combined scoring systems to measure their impact on outcomes. Our aim was to investigate cumulative social disadvantage on childhood arthritis by using a cumulative score to analyze its association with arthritis among a nationally representative sample of children.A cross-sectional analysis of the National Survey of Children's Health (2016-2019) was performed. A cumulative social disadvantage score was generated (1 point each, with a maximum score of 4): low guardian education (high school or less), low household income level (0-199% of federal poverty level), underinsured status (public or uninsured), and high adverse childhood experience (ACE) score (≥4). Univariate and multivariable (adjusting for age, sex, and race and ethnicity) logistic regression models were used to measure the association between cumulative social risk and the odds of an arthritis diagnosis and moderate-to-severe parent-reported arthritis severity.Of 131,774 surveys completed, a total of 365 children reported current arthritis. Cumulative social disadvantage was associated with an arthritis diagnosis, with the highest odds among those with a score of 4 (adjusted odds ratio [ORIn this nationally representative sample, accumulated social disadvantage, measured via a cumulative social disadvantage score based on income level, guardian education, insurance status, and ACE exposure, was associated with an arthritis diagnosis and moderate-to-severe arthritis severity.

Some individuals exposed to early life stress show evidence of enhanced systemic inflammation and are at greater risk for psychopathology. In the current study, caregivers and their offspring (0–17 years) were recruited at a pediatric clinic visit at the University of California, San Francisco (UCSF). Mothers and seven-year-old children from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective birth cohort were used as a replication cohort. Caregivers perceived stress was measured to determine potential intergenerational effects on the children’s functioning and inflammation levels. Children’s emotional functioning in the UCSF cohort was evaluated using the Pediatric Quality of Life (PedsQL) inventory. Child emotional and behavioral functioning was measured using the Child Behavior Checklist (CBCL) in GUSTO. Saliva was collected from the children and salivary levels of IL-6, IL-1β, IL-8 and TNF-α were measured using an electrochemiluminescent cytokine multiplex panel. Child IL-6, IL-1β, IL-8 cytokine levels were clustered into low, average, and high cytokine cluster groups using hierarchical cluster analysis. We did not find that salivary cytokine clusters were significantly associated with children’s emotional or behavioral function. However, cytokine clusters did significantly moderate the association between increased caregiver perceived stress and reduced child emotional functioning (UCSF cohort) and increased Attention-Deficit-Hyperactivity (ADH) problems (GUSTO cohort, uncorrected Cohen’s F2 = 0.02). Using a cytokine clustering technique may be useful in identifying those children exposed to increased caregiver perceived stress that are at risk of emotional and attention deficit hyperactivity problems.

BACKGROUND AND OBJECTIVES:Risky behaviors are the main threats to adolescents’ health. Consequently, guidelines recommend adolescents be screened annually for high-risk behaviors. Our objectives were to (1) determine rates of physician-documented risk behavior screening of hospitalized adolescents, (2) determine rates of positive screening results, and (3) evaluate associations between risk behavior screening and provision of risk behavior–related health care interventions.METHODS:We conducted a cross-sectional study of patients aged 12 to 24 years admitted to the pediatric hospital medicine service at an urban tertiary children’s hospital from January to December 2018. Exclusion criteria were transfer to a different service, nonverbal status, or altered mental status. We reviewed 20 charts per month. Outcomes included (1) documentation of risk behavior screening (mood, sexual activity, substance use, abuse and/or violence, and suicidal ideation), and (2) risk behavior–related health care interventions (eg, testing for sexually transmitted infections). We determined associations between screening and risk behavior–related interventions using χ2 tests.RESULTS:We found that 38% (90 of 240) of adolescents had any documented risk behavior screening, 15% (37 of 240) had screening in 4 of 5 risk behavior domains, and 2% (5 of 240) had screening in all 5 domains. The majority of screened adolescents had a positive screening result (66%), and most with positive results received a risk behavior–related health care intervention (64%–100% across domains). Adolescents with documented screening were significantly more likely to receive a risk behavior–related health care intervention.CONCLUSIONS:We found low rates of risk behavior screening documentation among hospitalized adolescents. There was a high rate of positive screen results, and those who were documented as screened were more likely to receive risk behavior–related interventions.

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. Supplementary Information The online version contains supplementary material available at 10.1007/s11606-020-06484-9.

Objectives To investigate racial/ethnic differences in rehospitalization and mortality rates among premature infants over the first year of life. Study design A retrospective cohort study of infants born in California from 2011 to 2017 (n = 3,448,707) abstracted from a California Office of Statewide Health Planning and Development database. Unadjusted Kaplan-Meier tables and logistic regression controlling for health and sociodemographic characteristics were used to predict outcomes by race/ethnicity. Results Compared to White infants, Hispanic and Black early preterm infants were more likely to be readmitted; Black late/moderate preterm (LMPT) infants were more likely to be readmitted and to die after discharge; Hispanic and Black early preterm infants with BPD were more likely to be readmitted; Black LMPT infants with RDS were more likely to be readmitted and die after discharge. Conclusions Racial/ethnic disparities in readmission and mortality rates exist for premature infants across several co-morbidities. Future studies are needed to improve equitability of outcomes.

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 Results Of 144,733 women, 73.6% had IPIs p 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 Pediatric acute care utilization decreased dramatically during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the association between the Child Opportunity Index (COI), a multidimensional neighborhood measure of childhood opportunity, and changes in acute care utilization at US pediatric hospitals during the COVID-19 pandemic compared with the previous 3 years. METHODS This observational study used administrative data across 41 US-based pediatric hospitals. Children aged 0 to 17 years with emergency department (ED) encounters during the study period were included. The COVID-19 pandemic time period (March 15, 2020–March 14, 2021) was the primary exposure. The primary outcome was the relative volume drop in ED encounters and observation/inpatient admissions through the ED by COI quintile. RESULTS Of 12 138 750 encounters, 3 705 320 (30.5%) were among the very low COI quintile. Overall, there was a 46.8% relative volume reduction in the pandemic period compared with the prepandmic period. This drop in volume occurred disproportionately among the very low COI quintile (51.1%) compared with the very high COI quintile (42.8%). The majority of clinical diagnosis groups demonstrated larger relative volume drops among the very low COI quintile. CONCLUSIONS Acute care utilization decreased the most among children from very low COI neighborhoods, narrowing previously described acute care utilization disparities. Additional study of patient perspectives on health care needs and access during this period is required to understand these changes.

Social Z codes are International Classification of Diseases, Tenth Revision, Clinical Modification codes that provide one way of documenting social risk factors in electronic health records. Despite the utility and availability of these codes, no study has examined social Z code documentation prevalence in emergency department (ED) settings.In this descriptive, cross-sectional study of all ED visits included in the 2018 Nationwide Emergency Department Sample, we estimated the prevalence of social Z code documentation and used logistic regression to examine the association between documentation and patient and hospital characteristics.Of more than 35.8 million adult and pediatric ED visits, there was a 1.21% weighted prevalence (n=452,499) of at least 1 documented social Z code. Social Z codes were significantly more likely to be documented in ED visits among patients aged 35 to 64 compared to patients aged 18 to 34 (18.6/1000 [16.9 to 20.4] versus 12.7/1000 [11.5 to 14.0], odds ratio (OR) 1.47 [1.42 to 1.53]), male patients (16.6/1000 [15.1 to 18.2] versus female 8.5/1000 [7.8 to 9.2], OR 1.97 [1.89 to 2.06]), patients with Medicaid compared to patients with private insurance (15.9/1000 [14.4 to 17.6] versus (6.6/1000 [6.0 to 7.2], OR 2.45 [1.30 to 1.63]), and patients who had a Charlson Comorbidity Index≥1 compared to those with a Charlson Comorbidity Index of 0 (ranges 15.0 to 16.6/1000 versus 10.6/1000 [9.6 to 11.7], ORs ranging 1.43 to 1.58). ED visits with a primary diagnosis of mental, behavioral, and neurodevelopmental illness had the strongest positive association with social Z code documentation (85.6/1000 [78.4 to 93.4], OR 10.75 [9.88 to 11.70]) compared to ED visits without this primary diagnosis.We found a very low prevalence of social Z code documentation in ED visits nationwide. More systematic social Z code documentation could support targeted social interventions, social risk payment adjustments, and future policy reforms.

Background Identifying preterm infants at risk for mortality or major morbidity traditionally relies on gestational age, birth weight, and other clinical characteristics that offer underwhelming utility. We sought to determine whether a newborn metabolic vulnerability profile at birth can be used to evaluate risk for neonatal mortality and major morbidity in preterm infants. Methods This was a population-based retrospective cohort study of preterm infants born between 2005 and 2011 in California. We created a newborn metabolic vulnerability profile wherein maternal/infant characteristics along with routine newborn screening metabolites were evaluated for their association with neonatal mortality or major morbidity. Results Nine thousand six hundred and thirty-nine (9.2%) preterm infants experienced mortality or at least one complication. Six characteristics and 19 metabolites were included in the final metabolic vulnerability model. The model demonstrated exceptional performance for the composite outcome of mortality or any major morbidity (AUC 0.923 (95% CI: 0.917-0.929). Performance was maintained across mortality and morbidity subgroups (AUCs 0.893-0.979). Conclusions Metabolites measured as part of routine newborn screening can be used to create a metabolic vulnerability profile. These findings lay the foundation for targeted clinical monitoring and further investigation of biological pathways that may increase the risk of neonatal death or major complications in infants born preterm. Impact We built a newborn metabolic vulnerability profile that could identify preterm infants at risk for major morbidity and mortality. Identifying high-risk infants by this method is novel to the field and outperforms models currently in use that rely primarily on infant characteristics. Utilizing the newborn metabolic vulnerability profile for precision clinical monitoring and targeted investigation of etiologic pathways could lead to reductions in the incidence and severity of major morbidities associated with preterm birth.

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.

Background Mothers and their children demonstrate dyadic synchrony of hypothalamic–pituitary–adrenal (HPA) axis function, likely influenced by shared genetic or environmental factors. Although evidence has shown that chronic stress exposure has physiologic consequences for individuals—including on the HPA axis—minimal research has explored how unmet social needs such as food and housing instability may be associated with chronic stress and HPA axis synchrony in mother–child dyads. Methods We conducted a secondary analysis of data from 364 mother–child dyads with low-income recruited during a randomized trial conducted in an urban pediatric clinic. We used latent profile analysis (LPA) to identify subgroups based on naturally occurring patterns of within-dyad hair cortisol concentration (HCC). A logistic regression model predicted dyadic HCC profile membership as a function of summative count of survey-reported unmet social needs, controlling for demographic and health covariates. Results LPA of HCC data from dyads revealed a 2-profile model as the best fit. Comparisons of log HCC for mothers and children in each profile group resulted in significantly “higher dyadic HCC” versus “lower dyadic HCC” profiles (median log HCC for mothers: 4.64 vs 1.58; children: 5.92 vs 2.79, respectively; P Conclusion Mother–child dyads experience synchronous patterns of physiologic stress, and an increasing number of unmet social needs is associated with a profile of higher dyadic HCC. Interventions aimed at decreasing family-level unmet social needs or maternal stress are, therefore, likely to affect pediatric stress and related health inequities; efforts to address pediatric stress similarly may affect maternal stress and related health inequities. Future research should explore the measures and methods needed to understand the impact of unmet social needs and stress on family dyads.

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.

Objective Vulnerable populations face numerous barriers in managing chronic disease(s). As healthcare systems work toward integrating social risk factors into electronic health records and healthcare delivery, we need better understanding of the interrelated nature of social needs within patients’ everyday lives to inform effective informatics interventions to advance health equity. Materials and Methods We conducted in-depth interviews, participant-led neighborhood tours, and clinic visit observations involving 10 patients with diabetes in underserved San Francisco neighborhoods and 10 community leaders serving those neighborhoods. We coded health barriers and facilitators using a socioecological framework. We also linked these qualitative data with early persona development, focusing on patients’ experiences in these communities and within the healthcare system, as a starting place for our future informatics design. Results We identified social risk and protective factors across almost every socioecological domain and level—from physical disability to household context to neighborhood environment. We then detailed the complex interplay across domains and levels within two critical aspects of patients’ lives: housing and food. Finally, from these data we generated 3 personas that capture the intersectional nature of these determinants. Conclusion Drawing from different disciplines, our study provides a socioecological approach to understanding health promotion for patients with chronic disease in a safety-net healthcare system, using multiple methodologies. Future digital health research should center the lived experiences of marginalized patients to effectively design and implement informatics solutions for this audience.

Higher socioeconomic status (SES) has less impact on cardio-metabolic disease and preterm birth risk among Black women compared to White women, an effect called “diminishing returns.” No studies have tested whether this also occurs for pregnancy cardio-metabolic disease, specifically preeclampsia, or whether preeclampsia risk could account for race-by-SES disparities in birth timing. A sample of 718,604 Black and White women was drawn from a population-based California cohort of singleton births. Education, public health insurance status, gestational length, and preeclampsia diagnosis were extracted from a State-maintained birth cohort database. Age, prenatal care, diabetes diagnosis, smoking during pregnancy, and pre-pregnancy body mass index were covariates. In logistic regression models predicting preeclampsia risk, the race-by-SES interaction (for both education and insurance status) was significant. White women were at lower risk for preeclampsia, and higher SES further reduced risk. Black women were at higher risk for preeclampsia, and SES did not attenuate risk. In pathway analyses predicting gestational length, an indirect effect of the race-by-SES interaction was observed. Among White women, higher SES predicted lower preeclampsia risk, which in turn predicted longer gestation. The same was not observed for Black women. Compared to White women, Black women had increased preeclampsia risk. Higher SES attenuated risk for preeclampsia among White women, but not for Black women. Similarly, higher SES indirectly predicted longer gestational length via reduced preeclampsia risk among White women, but not for Black women. These findings are consistent with diminishing returns of higher SES for Black women with respect to preeclampsia.

Objective To develop a pre-pregnancy or first-trimester risk score to identify women at high risk of preterm birth. Study design In this retrospective cohort analysis, the sample was drawn from California singleton livebirths from 2007 to 2012 with linked birth certificate and hospital discharge records. The dataset was divided into a training (2/3 of sample) and a testing (1/3 of sample) set for discovery and validation. Predictive models for preterm birth using pre-pregnancy or first-trimester maternal factors were developed using backward stepwise logistic regression on a training dataset. A risk score for preterm birth was created for each pregnancy using beta-coefficients for each maternal factor remaining in the final multivariable model. Risk score utility was replicated in a testing dataset and by race/ethnicity and payer for prenatal care. Results The sample included 2,339,696 pregnancies divided into training and testing datasets. Twenty-three maternal risk factors were identified including several that were associated with a two or more increased odds of preterm birth (preexisting diabetes, preexisting hypertension, sickle cell anemia, and previous preterm birth). Approximately 40% of women with a risk score ≥ 3.0 in the training and testing samples delivered preterm (40.6% and 40.8%, respectively) compared to 3.1-3.3% of women with a risk score of 0.0 [odds ratio (OR) 13.0, 95% confidence interval (CI) 10.7-15.8, training; OR 12.2, 95% CI 9.4-15.9, testing). Additionally, over 18% of women with a risk score ≥ 3.0 had an adverse outcome other than preterm birth. Conclusion Maternal factors that are identifiable prior to pregnancy or during the first-trimester can be used create a cumulative risk score to identify women at the lowest and highest risk for preterm birth regardless of race/ethnicity or socioeconomic status. Further, we found that this cumulative risk score could also identify women at risk for other adverse outcomes who did not have a preterm birth. The risk score is not an effective screening test, but does identify women at very high risk of a preterm birth.

While mental health conditions such as postpartum depression are common, little is known about how mental healthcare utilization varies after term versus preterm delivery.This study aimed to determine whether preterm birth is associated with postpartum inpatient and emergency mental healthcare utilization.The study sample was obtained from a database of live-born neonates delivered in California between the years of 2011 and 2017. The sample included all people giving birth to singleton infants between the gestational age of 20 and 44 weeks. Preterm birth was defined as37 weeks' gestation. Emergency department visits and hospitalizations with a mental health diagnosis within 1 year after birth were identified using International Classification of Diseases codes. Logistic regression was used to compare relative risks of healthcare utilization among people giving birth to preterm infants vs term infants, adjusting for the following covariates: age, race or ethnicity, parity, previous preterm birth, body mass index, tobacco use, alcohol or drug use, hypertension, diabetes mellitus, adequacy of prenatal care, education, insurance payer, and the presence of a mental health diagnosis before birth. Results were then stratified by mental health diagnosis before birth to determine whether associations varied based on mental health history.Of our sample of 3,067,069 births, 6.7% were preterm. In fully adjusted models, compared with people giving birth to term infants, people giving birth to preterm infants had a 1.5 times (relative risk; 95% confidence interval, 1.4-1.7) and 1.3 times (relative risk; 95% confidence interval, 1.2-1.4) increased risk of being hospitalized with a mental health diagnosis within 3 months and 1 year after delivery, respectively. People giving birth to preterm infants also had 1.4 times (95% confidence interval, 1.3-1.5) and 1.3 times (95% confidence interval, 1.2-1.4) increased risk of visiting the emergency department for a mental health diagnosis within 3 months and 1 year after birth, respectively. Stratifying by preexisting mental health diagnosis, preterm birth was associated with an elevated risk of mental healthcare utilization for people with and without a previous mental health diagnosis.We found that preterm birth is an independent risk factor for postpartum mental healthcare utilization. Our findings suggest that screening for and providing mental health resources to birthing people after delivery are crucial, particularly among people giving birth to preterm infants, regardless of mental health history.

* Abbreviations: COVID-19 — : coronavirus disease 2019 CPA — : child physical abuse ED — : emergency department H-RISK — : hospitalization resource intensity scores for kids PHIS — : Pediatric Health Information System Economic recession and natural disasters have been associated with increases in child physical abuse (CPA).1,2 Our objectives were to compare the volume and severity of CPA encounters in children’s hospitals during the coronavirus disease 2019 (COVID-19) pandemic to that of previous years. We conducted a retrospective cohort study of emergency department (ED) and inpatient encounters for children ≤5 years old in the Pediatric Health Information System (PHIS) (administrative database from 52 US children’s hospitals).3 This study was deemed exempt by the Institutional Review Board of the University of California, San Francisco. We compared the volume of CPA encounters from January 1 to August 31, 2020, to that of the same time frame in previous years (2017–2019) to understand overall trends. We compared the severity of CPA encounters during the COVID-19 pandemic period (defined as March 16 to August 31, 2020) to that of the same time frame in previous years (2017–2019). Our primary outcome was the change in volume of encounters in … Address correspondence to Sunitha V. Kaiser, University of California, San Francisco, 550 16th St, Box 3214, San Francisco, CA 94158. E-mail: sunitha.kaiser{at}ucsf.edu

BackgroundBirthing people of color are more likely to deliver low birthweight and preterm infants, populations at significant risk of morbidity and mortality. Birthing people of color are also at higher risk for mental health conditions and emergency mental healthcare utilization postpartum. Although this group has been identified as high risk in these contexts, it is not known whether racial and ethnic disparities exist in mental healthcare utilization among birthing people who have delivered preterm.ObjectiveWe sought to determine if racial and ethnic disparities exist in postpartum mental healthcare-associated emergency department visits or hospitalizations for birthing people with preterm infants in a large and diverse population.Study designThis population-based historic cohort study used a sample of Californian live-born infants born between 2011 and 2017 with linked birth certificates and emergency department visit and hospital admission records from the California Statewide Health Planning and Development database. The sample was restricted to preterm infants (

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.

Key Points Question Can an in-person service navigation intervention to address family social needs decrease child health care utilization? Findings In this randomized clinical trial of 1300 families, provision of an in-person resource navigator significantly decreased the risk of child hospitalization during a 1-year period compared with written information. Meaning These findings suggest that providing a patient navigator to address family social needs can decrease child health care utilization., This secondary analysis of a randomized clinical trial compares the effect on pediatric acute care utilization of a written resources handout vs an in-person navigation service intervention to address family social needs., Importance While many organizations endorse screening for social risk factors in clinical settings, few studies have examined the health and utilization effects of interventions to address social needs. Objective To compare the acute care utilization effects of a written resources handout vs an in-person navigation service intervention to address social needs. Design, Settings, and Participants In this secondary analysis of a randomized clinical trial, 1809 adult caregivers of pediatric patients seen in primary and urgent care clinics of 2 safety-net hospitals in northern California were recruited between October 13, 2013, and August 27, 2015. Each participating family was randomly assigned to an in-person navigator intervention vs active control to address the family’s social needs. Analyses were conducted between February 28, 2018, and September 25, 2019. Interventions Caregivers either received written information about relevant local resources related to social needs (active control) or met with a patient navigator focused on helping them resolve social needs (navigator intervention). After an initial in-person visit, navigation services included telephone, email, and/or in-person follow-up for up to 3 months. Main Outcome and Measures Child emergency department visit or hospitalization within 12 months of study enrollment. Results Among the 1300 caregivers enrolled in the study without missing follow-up data, most spoke English (878 [67.5%]) and were women (1127 [86.7%]), with a mean (SD) age of 33.0 (9.33) years. Most children were aged 0 to 5 years (779 of 1300 [59.9%]), 723 children (55.6%) had Hispanic ethnicity, and 462 children (35.5%) were in excellent health; 840 families (64.6%) were recruited from urgent care. In total, 637 families (49.0%) were randomized to the in-person navigator group and 663 (51.0%) to the active control group. There was no difference in risk of an emergency department visit between the 2 groups. Children enrolled in the in-person navigator group had a decreased risk of hospitalization within 12 months (hazard ratio, 0.59; 05% CI, 0.38-0.94; P = .03), making them 69% less likely to be hospitalized. Conclusions and Relevance In this randomized clinical trial evaluating heath care utilization effects of programs designed to address social needs among families, children enrolled in the navigation group were significantly less likely to be hospitalized after the intervention but equally likely to have an emergency department visit. These findings strengthen our understanding of the effects of addressing social needs in clinical settings as part of a comprehensive strategy to improve health and reduce health care utilization. Trial Registration ClinicalTrials.gov Identifier: NCT01939704

Background Previous efforts to examine differences in adverse childhood experiences (ACEs) exposure by geography have yielded mixed results, and have not distinguished between urban, suburban, and rural areas. Additionally, few studies to date have considered the potentially moderating role of geography on the relationship between ACEs and health outcomes. Objective To examine differences in exposure to ACEs by geography, and determine whether geography moderates the relationship between ACE exposure and health outcomes (overall health, asthma, attention deficit hyperactivity disorder (ADHD), and special health care needs). Participants and setting The cross-sectional 2017−18 National Survey of Children’s Health (NSCH). Methods Distributions of individual and cumulative ACEs by geography (urban, suburban, rural) were compared using chi-squared tests. Logistic regression was used to determine the association between geography and exposure to 4 + ACEs, and to explore whether the relationship between ACEs and health outcomes varied by geography, adjusting for sociodemographic covariates. Results Adjusting for covariates, rural residency was associated with 1.29 times increased odds of exposure to 4 + ACEs (95 % CI: 1.00, 1.66) compared to suburban residency. Statistically significant evidence for an interaction between geography and ACE exposure on overall health was not observed, but urban status was observed to increase the association between ACEs and asthma. Conclusions This analysis demonstrates a higher ACE burden in rural compared to suburban children. These findings underscore the importance of ACE screening and suggest investment of healthcare resources in the historically underserved rural population.

BACKGROUND AND OBJECTIVES:Social risk factors are linked to children’s health, but little is known about how frequently these factors are documented using the International Classification of Diseases (ICD) or whether documentation is associated with health care use outcomes. Using a large administrative database of pediatric hospitalizations, we examined the prevalence of ICD social risk code documentation and hypothesized that social code documentation would be associated with longer length of stay (LOS) and readmission.METHODS:We analyzed hospitalizations of children ages ≤18 using the 2012 Nationwide Readmissions Database. The following ICD social codes were used as predictors: family member with alcohol and/or drug problem, history of abuse, parental separation, foster care, educational circumstance, housing instability, other economic strain, and legal circumstance. Outcomes included long LOS (top quintile) and readmission within 30 days after discharge. Covariates included individual, hospital, and season variables.RESULTS:Of 926 073 index hospitalizations, 7432 (0.8%) had International Classification of Diseases, Ninth Revision, social codes. Social code documentation was significantly associated with long LOS. Adjusting for covariates, family alcohol and/or drug problem (odds ratio [OR] 1.65; 95% confidence interval [CI] 1.16–2.35), foster care (OR 2.37, 95% CI 1.53–3.65), other economic strain (OR 2.12, 95% CI 1.38–3.26), and legal circumstances (OR 1.66; 95% CI 1.02–2.71) remained significant predictors of long LOS. Social code documentation was not associated with readmission after adjusting for covariates.CONCLUSIONS:Social ICD codes are associated with prolonged LOS and readmission in pediatric hospitalizations, but they are infrequently documented. Future work exploring these associations could help to determine if addressing social risk factors in inpatient settings might improve child health outcomes.

The social determinants of health (SDoH) are defined by the World Health Organization as the "conditions in which people are born, grow, live, work, and age." Within pediatrics, studies have highlighted links between these underlying social, economic, and environmental conditions, and a range of health outcomes related to both acute and chronic disease. Additionally, within the adult literature, multiple studies have shown significant links between social problems experienced during childhood and "adult diseases" such as diabetes mellitus and hypertension. A variety of potential mechanisms for such links have been explored including differential access to care, exposure to carcinogens and pathogens, health-affecting behaviors, and physiologic responses to allostatic load (i.e., toxic stress). This robust literature supports the importance of the SDoH and the development and evaluation of social needs interventions. These interventions are also driven by evolving economic realities, most importantly, the shift from fee-for-service to value-based payment models. This article reviews existing evidence regarding pediatric-focused clinical interventions that address the SDoH, those that target basic needs such as food insecurity, housing insecurity, and diminished access to care. The paper summarizes common challenges encountered in the evaluation of such interventions. Finally, the paper concludes by introducing key opportunities for future inquiry.

Author(s): Karasek, Deborah; Baer, Rebecca J; McLemore, Monica R; Bell, April J; Blebu, Bridgette E; Casey, Joan A; Coleman-Phox, Kimberly; Costello, Jean M; Felder, Jennifer N; Flowers, Elena; Fuchs, Jonathan D; Gomez, Anu Manchikanti; Karvonen, Kayla; Kuppermann, Miriam; Liang, Liang; McKenzie-Sampson, Safyer; McCulloch, Charles E; Oltman, Scott P; Pantell, Matthew S; Piao, Xianhua; Prather, Aric A; Schmidt, Rebecca J; Scott, Karen A; Spellen, Solaire; Stookey, Jodi D; Tesfalul, Martha; Rand, Larry; Jelliffe-Pawlowski, Laura L | Abstract: IntroductionOur understanding of the association between coronavirus disease 19 (COVID-19) and preterm or early term birth among racially and ethnically diverse populations and people with chronic medical conditions is limited.MethodsWe determined the association between COVID-19 and preterm (PTB) birth among live births documented by California Vital Statistics birth certificates between July 2020 and January 2021 (n=240,147). We used best obstetric estimate of gestational age to classify births as very preterm (VPTB, l32 weeks), PTB (l 37 weeks), early term (37 and 38 weeks), and term (39-44 weeks), as each confer independent risks to infant health and development. Separately, we calculated the joint effects of COVID-19 diagnosis, hypertension, diabetes, and obesity on PTB and VPTB.FindingsCOVID-19 diagnoses on birth certificates increased for all racial/ethnic groups between July 2020 and January 2021 and were highest for American Indian/Alaska Native (12.9%), Native Hawaiian/Pacific Islander (11.4%), and Latinx (10.3%) birthing people. COVID-19 diagnosis was associated with an increased risk of VPTB (aRR 1.6, 95% CI [1.4, 1.9]), PTB (aRR 1.4, 95% CI [1.3, 1.4]), and early term birth (aRR 1.1, 95% CI [1.1, 1.2]). There was no effect modification of the overall association by race/ethnicity or insurance status. COVID-19 diagnosis was associated with elevated risk of PTB in people with hypertension, diabetes, and/or obesity.InterpretationIn a large population-based study, COVID-19 diagnosis increased the risk of VPTB, PTB, and early term birth, particularly among people with medical comorbidities. Considering increased circulation of COVID-19 variants, preventative measures, including vaccination, should be prioritized for birthing persons.FundingUCSF-Kaiser Department of Research Building Interdisciplinary Research Careers in Women's Health Program (BIRCWH) National Institute of Child Health and Human Development (NICHD) and the Office of Research on Women's Health (ORWH) [K12 HD052163] and the California Preterm Birth Initiative, funded by Marc and Lynn Benioff.

Common variable immunodeficiency (CVID) is a complex, heterogeneous immunodeficiency characterized by hypogammaglobulinemia, recurrent infections, and poor antibody response to vaccination. While antibiotics and immunoglobulin prophylaxis have significantly reduced infectious complications, non-infectious complications of autoimmunity, inflammatory lung disease, enteropathy, and malignancy remain of great concern. Previous studies have suggested that CVID patients diagnosed in childhood are more severely affected by these complications than adults diagnosed later in life. We sought to discern whether the rates of various infectious and non-infectious conditions differed between pediatric-diagnosed (ages 17 or younger) versus adult-diagnosed CVID (ages 18 or older). Using the United States Immunodeficiency Network (USIDNET) database, we performed a retrospective analysis of 457 children and adults with CVID, stratified by age at diagnosis. Chi-squared testing was used to compare pediatric versus adult groups. After correcting for multiple comparisons, we identified few statistically significant differences (p ≤ 0.0004) between pediatric and adult groups. Pediatric-onset CVID patients had more frequent diagnoses of otitis media, developmental delay, and failure to thrive compared with adult-onset CVID patients. Adult CVID patients were more frequently diagnosed with bronchitis, arthritis, depression, and fatigue. Diagnoses of autoimmunity, lymphoma, and other malignancies were higher in adults but not to a significant degree. Serum immunoglobulins (IgG, IgA, and IgM) and lymphocyte subsets did not differ significantly between the two groups. When complications of infections and co-morbid conditions were viewed categorically, there were few differences between pediatric-onset and adult-onset CVID patients. These results suggest that pediatric CVID is not a distinct phenotype. Major features were comparable across the groups. This study underscores the need for continued longitudinal study of pediatric and early-onset CVID patients to further characterize accrual of features over time.

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.

Background Preterm infants suffer from respiratory morbidity especially during the first year of life. Objective To investigate the association of air quality and sociodemographic indicators on hospital admission rates for respiratory causes. Methods This is a retrospective cohort study. We identified all live-born preterm infants in California from 2007 to 2012 in a population-based administrative data set and linked them to a data set measuring several air quality and sociodemographic indicators at the census tract level. All sociodemographic and air quality predictors were divided into quartiles (first quartile most favourable to the fourth quartile least favourable). Mixed effect logistic models to account for clustering at the census tract level were used to investigate associations between chronic air quality and sociodemographic indicators respiratory hospital admission during the first year of life. Results Of 205 178 preterm infants, 5.9% (n = 12 033) were admitted to the hospital for respiratory causes during the first year. In the univariate analysis, comparing the first to the fourth quartile of chronic ozone (risk ratio [RR] 1.29, 95% confidence interval [CI] 1.21, 1.37), diesel (RR 1.10, 95% CI 1.02, 1.17) and particulate matter 2.5 (RR 1.07, 95% CI 1.01, 1.14) exposure were associated with hospital admission during the first year. Following adjustment for confounders, the risk ratios for hospital admission during the first year were 1.53 (95% CI 1.37, 1.72) in relation to educational attainment (per cent of the population over age 25 with less than a high school education) and 1.23 (95% CI 1.09, 1.38) for poverty (per cent of the population living below two times the federal poverty level). Conclusions Among preterm infants, respiratory hospital admissions in the first year in California are associated with socioeconomic characteristics of the neighbourhood an individual is living in.

Background: Autoimmune cytopenias (AICs) are potentially life-threatening complications following hematopoietic cell transplantation (HCT), yet little is understood about the mechanism by which they develop. We hypothesized that discordant B cell and T cell recovery is associated with AICs in transplant patients, and that this might differ based on transplant indication. Methods: In this case control study of children who underwent HCT at our institution, we evaluated the clinical and transplant characteristics of subjects who developed AICs compared to a control group matched by transplant indication and donor type. In cases, we analyzed the state of immune reconstitution, including B cell recovery, T cell recovery, and chimerism, immediately prior to AIC onset. Subjects were stratified by primary indication for transplant as malignancy (n = 7), primary immune deficiency (PID, n = 9) or other non-malignant disease (n = 4). We then described the treatment and outcomes for 20 subjects who developed AICs. Results: In our cohort, cases were older than controls, were more likely to receive a myeloablative conditioning regimen and had a significantly lower prevalence of chronic GVHD. There were distinct differences in the state of immune recovery based on transplant indication. None of the patients (0/7) transplanted for primary malignancy had T cell recovery at AIC onset compared to 71% (5/7) of patients with PID and 33% (1/3) of patients with non-malignant disease. The subset of patients with PID and non-malignant disease who achieved T cell reconstitution (6/6) prior to AIC onset, all demonstrated mixed or split chimerism. Subjects with AIHA or multi-lineage cytopenias had particularly refractory courses with poor treatment response to IVIG, steroids, and rituximab. Conclusions: These results highlight the heterogeneity of AICs in this population and suggest that multiple mechanisms may contribute to the development of post-transplant AICs. Patients with full donor chimerism may have early B cell recovery without proper T cell regulation, while patients with mixed or split donor chimerism may have residual host B or plasma cells making antibodies against donor blood cells. A prospective, multi-center trial is needed to develop personalized treatment approaches that target the immune dysregulation present and improve outcomes in patients with post-transplant AICs.

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.