A History Of The Impacts Of Discriminatory Policies On Housing And Maternal And Infant Health In An Ohio Neighborhood.

Community-level disinvestment and de facto segregation rooted in decades of discriminatory race-based policies and racism have resulted in unacceptably large infant mortality rates in racial minority neighborhoods across the US. Most community development and housing work, implemented with the goal of addressing health and social inequities, is designed to tackle current challenges in the condition of neighborhoods without a race-conscious lens assessing structural racism and discrimination. Using one historically segregated neighborhood-Linden, in Columbus, Ohio-we detail how state and local policies have affected the neighborhood and shaped neighborhood-level demographics and resources during the past 100 years. We explore how structural racism- and discrimination-informed strategic community reinvestment could provide a solution and yield lasting change.

Social Needs as a Risk Factor for Positive Postpartum Depression Screens in Pediatric Primary Care.

OBJECTIVE: The goal of this study was to examine the association between self-reported social needs and postpartum depression (PPD) symptoms of mothers screened in pediatric primary care clinics. METHODS: This retrospective cohort study used electronic health record data from 3616 pediatric patients (age 0-6 months), whose mothers completed the Edinburgh Postpartum Depression Scale (EPDS) and a social needs screening in a large pediatric primary care network between April 2021 and February 2022. Mothers were screened for four self-reported social needs (food, housing, transportation, and utilities). Logistic regression evaluated the association between the report of any social need and a positive EPDS screen (≥ 10), adjusting for demographic and clinical characteristics and ZIP code-level poverty. RESULTS: Overall, 8.6% of mothers screened positive for PPD and 10.0% reported any social needs. The odds of a positive depression screen were significantly higher among mothers who reported any social need compared to those not reporting a social need (OR 4.18, 95% CI 3.11-5.61). The prevalence of all depressive symptoms on the EPDS was significantly higher among those who reported any social need, relative to those reporting no needs. Mothers reporting any social needs were significantly more likely to report thoughts of self-harm (6.9% vs 1.5%, P < .005). CONCLUSIONS: Self-report of social need was significantly associated with positive PPD screens during infant well-child visits. Social needs may be a target of future interventions addressing PPD in pediatric settings. Improving care for social needs may have added benefit of alleviating the risk of PPD.

Valuing the cross-sector benefits from improving youth health to drive investment in place-based preventive interventions in the US: A simulation modeling study.

Healthcare payment reform has not produced incentives for investing in place-based, or population-level, upstream preventive interventions. This article uses economic modeling to estimate the long-term benefits to different sectors associated with improvements in population health indicators in childhood. This information can motivate policymakers to invest in prevention and provide guidance for cross-sector contracting to align incentives for implementing place-based preventive interventions. A benefit-cost model developed by the Washington State Institute for Public Policy was used to estimate total and sector-specific benefits expected from improvements to nine different population health indicators at ages 17 and 18. The magnitudes of improvement used in the model were comparable to those that could be achieved by high-quality implementation of evidence-based population-level preventive interventions. Benefits accruing throughout the lifecycle and over a ten-year time horizon were modelled. Intervention effect sizes of 0.10 and 0.20 demonstrated substantial long-term benefits for eight of the nine outcomes measured. At an effect size of 0.10, the median lifecycle benefit per participant across the ten indicators was $3080 (ranged: $93 to $14,220). The median over a 10-year time horizon was $242 (range: $14 to $1357). Benefits at effect sizes of 0.20 were approximately double. Policymakers may be able to build will for additional investment based on these cross-sector returns and communities may be able to capture these cross-sector benefits through contracting to better align incentives for implementing and sustaining place-based preventive interventions.

Development of a Symptom-Focused Model to Guide the Prescribing of Antipsychotics in Children and Adolescents: Results of the First Phase of the Safer Use of Antipsychotics in Youth (SUAY) Clinical Trial.

OBJECTIVE: To develop a new approach to prescribing guidelines as part of a pragmatic trial, Safer Use of Antipsychotics in Youth (SUAY; ClinicalTrials.gov Identifier: NCT03448575), which supports prescribers in delivering high-quality mental health care to youths. METHOD: A nominal group technique was used to identify first- to nth-line treatments for target symptoms and potential diagnoses. The panel included US pediatricians, child and adolescent psychiatrists, and psychopharmacology experts. Meeting materials included information about Medicaid review programs, systematic reviews, prescribing guidelines, and a description of the pragmatic trial. Afterward, a series of 4 webinar discussions were held to achieve consensus on recommendations. RESULTS: The panel unanimously agreed that the guideline should focus on target symptoms rather than diagnoses. Guidance included recommendations for first- to nth-line treatment of target mental health symptoms, environmental factors to be addressed, possible underlying diagnoses that should first be considered and ruled out, and general considerations for pharmacological and therapeutic treatments. CONCLUSION: Prescribing guidelines are often ignored because they do not incorporate the real-world availability of first-line psychosocial treatments, comorbid conditions, and clinical complexity. Our approach addresses some of these concerns. If the approach proves successful in our ongoing pragmatic trial, Safer Use of Antipsychotics in Youth (SUAY), it may serve as a model to state Medicaid programs and health systems to support clinicians in delivering high-quality mental health care to youths. CLINICAL TRIAL REGISTRATION INFORMATION: Safer Use of Antipsychotics in Youth; http://clinicaltrials.gov/; NCT03448575.

Left behind again: Rural home health services in a Medicaid pediatric accountable care organization.

PURPOSE: To contrast trends in rural and urban pediatric home health care use among Medicaid enrollees. METHODS: Medicaid administrative claims data were used to assess differences in home health care use for child members in a large pediatric accountable care organization (ACO) in Ohio. Descriptive statistics assessed rural and urban differences in health care use over a 10-year period between 2010 and 2019. FINDINGS: Pediatric home health care use increased markedly in the low-income (CFC) and disabled (ABD) Medicaid categories. Over the past 10 years, CFC-enrolled children from urban communities have seen more home health visits, fewer emergency department (ED) visits, and more well child visits compared to rural CFC-enrolled children. Children enrolled due to disabilities in urban communities have also seen more home health visit use but fewer preventive care visits than their rural counterparts. CONCLUSIONS: Within a pediatric ACO, rural home health care use has remained relatively stagnant over a 10-year period, a stark contrast to increases in home health care use among comparable urban populations. There are likely multiple explanations for these differences, including overuse in urban communities, lack of access in rural communities, and changes to home health reimbursement. More can be done to improve rural home health access. Such improvement will likely necessitate large-scale changes to home health care delivery, workforce, and financing. Improvements should be evaluated for return-on-investment not only in terms of direct costs, that is, reduced inpatient or ED costs, but also in terms of patient and family quality-of-life or key indicators of child well-being such as educational attainment.

Unjust: the health records of youth with personal/family justice involvement in a large pediatric health system.

BACKGROUND: Mass incarceration has had an undeniable toll on childhood poverty and inequality, however, little is known about the consequences on pediatric health. The purpose of this study was to identify and describe the health of pediatric patients with probable personal or family history involvement with the correctional system. METHODS: A descriptive study was conducted using electronic health record data of 2.3 million youth (ages 0-21 years) who received care in a large Midwestern hospital-based institution from February 2006-2020. We employed a correctional-related keyword search (e.g. jail, prison, probation, parole) to locate youth with probable personal or family history involvement. Health characteristics were measured as clinician diagnostic codes. RESULTS: Two percent of the total pediatric population had a correctional keyword in the medical chart (N = 51,855). This 2% made up 66% of all patients with cannabis-related diagnoses, 52% of all patients with trauma-related diagnoses, 48% of all stress-related diagnoses, 38% of all patients with psychotic disorder diagnoses, and 33% of all suicidal-related disorders within this institution's electronic health record database - among other highly concerning findings. CONCLUSIONS: We captured an alarming health profile that warrants further investigation and validation methods to better address the gaps in our clinical understanding of youth with personal or family history involvement with the correctional system. We can do better in identifying, and supporting families affected by the correctional system.

Trends Over Time in Antipsychotic Initiation at a Large Children's Health Care System.

Objectives: Antipsychotic prescribing in children and adolescents increased sharply beginning in the 1990s, but recent reports among Medicaid enrollees suggest declining trends. However, few studies have included both commercially and publicly insured patients or focused on trends in new antipsychotic medications in children without documented psychotic disorders or other indicated conditions. The objective of the study was to report trends in new antipsychotic prescribing for pediatric patients (age 3-17 years) in a large children's health care system. Methods: Data were abstracted from electronic medical records (January 1, 2013 to December 31, 2017). New antipsychotic medication orders were defined as antipsychotic orders for patients without an order in the 180 days prior. Patients were excluded if the order was initiated in an emergency department or inpatient setting; they were diagnosed with psychotic disorder, mania, autism spectrum disorder, or intellectual disability; or the order was for prochlorperazine. The crude rate of new antipsychotic prescribing is reported quarterly with Poisson 95% confidence intervals in the total sample and by demographic subgroups (child vs. adolescent, female vs. male, public vs. private insurance, and white vs. nonwhite). Results: Antipsychotic orders decreased from 54.9 prescriptions per 10,000 person months in the first quarter of 2013 to 34.1 per 10,000 person months in the last quarter of 2017. Rates of antipsychotic prescribing were significantly higher for adolescents compared with children, patients who were commercially insured compared with Medicaid insured, and at most time points for white compared with non-white patients. However, prescribing rates did not differ significantly based on gender. Conclusions: Antipsychotic prescribing declined for both commercially and Medicaid-insured children in a pediatric hospital-based system, although white and commercially insured patients were more likely to be prescribed antipsychotics. More attention may be needed for reducing potentially avoidable prescribing of antipsychotics in previously understudied subgroups, such as commercially insured patients. Clinical Trial Registration Number: NCT03448575.

Exploring Health Literacy, Transition Readiness, and Healthcare Utilization in Medicaid Chronically Ill Youth.

PURPOSE: Youths with special healthcare needs face challenges transitioning from pediatric to adult health care. Understanding possible mechanisms contributing to poor healthcare transition could improve care. This study explores associations between health literacy (HL), transition readiness, and healthcare utilization. METHODS: Youths with special healthcare needs aged 12-18 years were recruited from a Medicaid accountable care organization (2012-2017). Outcome measures included transition readiness (Transition Readiness Assessment Questionnaire), and healthcare utilization (any well-check, hospitalization, emergency department [ED] visit, or ambulatory sensitive condition ED visit). Multivariate regression analyses examined whether HL (adequate vs. inadequate) predicted outcomes, after adjusting for covariates. Models were then created to examine whether the effect of HL on healthcare utilization was mediated by transition readiness. RESULTS: Among 417 youths with special healthcare needs, 67.1% reported adequate HL. Relative to inadequate HL, teens with adequate HL had significantly higher average Transition Readiness Assessment Questionnaire-20 scores (ß = .34, p < .001). Controlling for covariates, HL was a significant predictor of having an ambulatory sensitive condition ED visit and having any ED visits neared significance. There was a positive transition readiness mediation effect on having an ED visit, with higher transition readiness being associated with higher odds of having any ED visit in the mediation analysis. CONCLUSIONS: HL is independently associated with higher transition readiness and lower ambulatory sensitive condition ED use, but pathways of action require further study.

Promoting Children's Mental, Emotional, and Behavioral (MEB) Health in All Public Systems, Post-COVID-19.

The COVID-19 pandemic exacerbates the mental, emotional, and behavioral (MEB) health problems of children and adolescents in the United States (U.S.). A collective and coordinated national economic and social reconstruction effort aimed at shoring up services to promote children's MEB, like the Marshall Plan that helped rebuild Europe post-World War II, has been proposed to buttress against the expected retrenchment. The plan prioritizes children's well-being as a social objective. We propose strategically reconstructing the public safety-net systems serving youth, including early education, maternal and child health, child welfare, corrections, and mental health. That plan called for a concentrated focus on coalition-building and contracting by state mental health systems to establish a foundation for an improved health system. This paper offers a complementary set of suggestions for the four non-mental health systems mentioned above by recommending actionable steps based on scientific evidence to support improved services for children at risk for MEB problems. For each system we describe examples of evidence-informed services, policies or programs that (1) prevent disabilities and promote health, (2) protect and preserve families and neighborhoods, and (3) provide quality care. Prioritizing the promotion of children's MEB health by all state systems can shape U.S. children's health and well-being for generations to come.

Achieving better value in pediatric care: school systems as clinical and financial partners?

This article argues that value-based health systems may contract with school districts engaged in capitated special education to achieve better patient outcomes and lower costs for the pediatric population.

Home quality and child health: Analysis of the Survey of Income and Program Participation.

Housing is considered a core social determinant of health (SDH) through mechanisms such as the quality, affordability, and location of the home. However, few nationally representative studies examine these mechanisms simultaneously with child health and healthcare use. To determine the associations between home quality and child health, a series of logistic regression analyses was employed using the Survey of Income and Program Participation (SIPP). The 2014 SIPP sample is a multistage, stratified sample of 53,070 housing units from 820 sample areas designed to represent the civilian, noninstitutionalized population of the United States. The analytic sample included 12,964 children aged 2-14 years. Poor housing quality was defined as whether the home had holes in the floor, cracks in the ceiling, plumbing issues, and/or pest problems. Outcome measures included child health status, number of medical visits, and hospitalizations. The results indicated that poor housing quality was associated with poorer health (OR = 1.16, 95% CI = 1.05-1.27) and a greater number of medical visits (OR = 1.11, 95% CI = 1.03, 1.20) after controlling for number of persons per household, neighborhood safety, nonmetropolitan status, parent's ability to afford housing-related expenses, and other SDH. Future work investigating and intervening on the SDH in children could specifically include the quality and contexts in which homes are situated.

Contribution of Social Determinant of Health Factors to Rural-Urban Preventive Care Differences Among Medicaid Enrollees.

OBJECTIVE: 1) Assess whether rural-urban disparities are present in pediatric preventive health care utilization; and 2) use regression decomposition to measure the contribution of social determinants of health (SDH) to those disparities. METHODS: With an Ohio Medicaid population served by a pediatric Accountable Care Organization, Partners For Kids, between 2017 and 2019, we used regression decomposition (a nonlinear multivariate regression decomposition model) to analyze the contribution of patient, provider, and SDH factors to the rural-urban well-child visit gap among children in Ohio. RESULTS: Among the 453,519 eligible Medicaid enrollees, 61.2% of urban children received a well-child visit. Well-child visit receipt among children from large rural cities/towns and small/isolated towns was 58.2% and 55.5%, respectively. Comparing large rural towns to urban centers, 55.8% of the 3.0 percentage-point difference was explained by patient, provider, and community-level SDH factors. In comparing small/isolated town to urban centers, 89.8% of the 5.7 percentage-point difference was explained by these characteristics. Of provider characteristics, pediatrician providers were associated with increased well visit receipt. Of the SDH factors, unemployment and education contributed the most to the explained difference in large rural towns while unemployment, education, and food deserts contributed significantly to the small/isolated town difference. CONCLUSIONS: The receipt of pediatric preventive care is slightly lower in rural communities. While modest, the largest part of the rural-urban preventive care gap can be explained by differences in provider type, poverty, unemployment, and education levels. More could be done to improve pediatric preventive care in all communities.

Principles And Policies To Strengthen Child And Adolescent Health And Well-Being.

Four recent reports from the National Academies of Sciences, Engineering, and Medicine framed around the issues of poverty; mental, emotional, and behavioral health; adolescence; and young family health and education build on extensive recent evidence of what can be done to improve the health and well-being of children, youth, and families. We describe the process of generating the reports, briefly summarize each report's content, and identify crosscutting themes and recommendations. We also note how the coronavirus disease 2019 (COVID-19) pandemic highlights major disparities and systemic problems addressed in the reports and heightens the relevance of their policy recommendations. The reports issue a unified, urgent call for measures with the potential to change the trajectory and outcomes for children and youth. Among these are basic income supports, other family supports, universal health care structured to meet family needs, and a broad national policy that prioritizes children and youth.

A Community Development Program and Reduction in High-Cost Health Care Use.

Adverse housing and neighborhood conditions influence child health. The Healthy Neighborhoods Healthy Families community development initiative was established in 2008 to address housing, education, employment, and other neighborhood-level, child health-influencing factors on the south side of Columbus, Ohio, with the goal of improving child health and well-being. In this article, we discuss the path from advocacy to outcomes analysis in this initiative and assess changes in high-cost health care use by children in the target area over the first decade of implementation. Change in health care use was measured by using a difference-in-differences approach comparing emergency department visits, inpatient stays, and inpatient length of stay in the intervention neighborhood and a propensity score-matched, pooled comparator neighborhood in the same city. The baseline and follow-up periods were August 2008 to July 2010 and August 2015 to July 2017, respectively. Findings from this analysis reveal that compared to 2 pooled comparison neighborhoods, the intervention neighborhood trended, nonsignificantly, toward greater decreases in inpatient stays and emergency department visits and smaller increases in length of stays. These results suggest that our community development activities may be influencing health care use outcomes, but in the early years of the intervention relative changes are modest and are variable based on the definition of the intervention and comparator neighborhoods. Lessons learned in expanding from advocacy to analysis include the importance of building multidisciplinary teams that can apply novel approaches to analysis, moderating expectations, and retaining focus on the broader social context.

Policy and Practice Innovations to Improve Prescribing of Psychoactive Medications for Children.

Psychoactive medications are the most expensive and fastest-growing class of pharmaceutical agents for children. The cost, side effects, and unprecedented growth rate at which these drugs are prescribed have raised alarms from health care clinicians, patient advocates, and agencies about the appropriateness of how these drugs are distributed to parents and their children. This article examines current prescribing of three classes of psychoactive drugs-stimulants, antidepressants, and antipsychotics-and efforts to improve pediatric prescribing of these agents. Federal policy efforts to curb questionable prescribing of psychoactive medications to children have focused particularly on oversight of antipsychotic use among foster care children. The article reviews system-level interventions, including delivery system enhancements, which increase availability of alternatives to medication treatments, employ electronic medical record reminders, and increase cross-sector care coordination; clinician prescribing enhancements, which disseminate best-practice guidelines, create quality and learning collaboratives, and offer "second opinion" psychiatric consultations; and prescriber monitoring programs, which include retrospective review and prospective monitoring of physicians' prescribing to identify patterns suggestive of inappropriate prescribing. Potential interventions to deter inappropriate pediatric prescribing are briefly described, such as transparency in drug prices and incentives among insurers, public agencies, and pharmacy benefit managers; value-based purchasing, specifically value-based payment for medications; and preventive interventions, such as parent training.

Trends Over Time and Jurisdiction Variability in Supplemental Security Income and State Supplementary Payment Programs for Children With Disabilities.

CONTEXT: Nearly 1.2 million children with disabilities received federally administered Supplemental Security Income (SSI) payments in 2017. Based on a robust review of research and evaluation evidence and microsimulations, The National Academies of Sciences, Engineering, and Medicine committee identified modifications to SSI (ie, increasing the federal SSI benefit maximum by one-third or two-thirds) as 1 of 10 strategies that could reduce the US child poverty rate, improving child health and well-being on a population level. OBJECTIVE: Describing the availability and amount of SSI and State Supplementary Payment (SSP) program benefits to support families of children with disabilities may be a first step toward evaluating The National Academies of Sciences, Engineering, and Medicine-proposed modification to SSI as a potential poverty alleviation and health improvement tool for children with disabilities and their families. DESIGN: We used public health law research methods to characterize the laws (statutes and state agency regulations) governing the federal SSI program and SSP programs in the 50 states and District of Columbia from January 1, 1996, through November 1, 2018. RESULTS: The number of jurisdictions offering supplementary payments (SSP) was relatively stable between 1996 and 2018. In 2018, 23 US jurisdictions legally mandated that SSP programs were available for children. Among the states with SSP payment amounts in their codified laws, SSP monthly benefit amounts ranged from $8 to $64.35 in 1996 and $3.13 to $60.43 in 2018. CONCLUSION: Our initial exploration of SSI-related policies as a tool for improving the economic stability of children with disabilities and their families suggests that current SSPs, in combination with SSI, would not rise to the level of SSI increases proposed by The National Academies of Sciences, Engineering, and Medicine. Understanding more about how SSI and SSP reach children and work in combination with other federal and state income security programs may help identify policies and strategies that better support children with disabilities in low-income households.