Principles for Primary Care Screening in the Context of Population Health.

A key component of primary care pediatrics is health promotion through screening: applying a test or procedure to detect a previously unrecognized disease or disease risk. How do we decide whether to screen? In 1965, Wilson and Jungner published an influential set of screening principles focused on the health problem's importance, the screening tool's performance, and the evidence for treatment efficacy. However, if we want realistic estimates of the population effects of routine screening, we must also account for the health care system's real-world functioning and disparities in care. We offer revised principles to guide discussions about routine screening in the primary care setting. We add to Wilson and Jungner's principles: 1. A focus on life course epidemiology and its consequences for population health, 2. A need to screen for the early stages of chronic health problems, 3. A concern for screening's acceptability to providers and the community, 4. A recommendation for estimating the uncertainty in benefits and harms in evaluating screening, 5. Inclusion of systematic plans for population data collection and monitoring, and 6. Recognition that achieving population health improvement requires a high-performing system with sufficient throughput and monitoring to deliver accessible, affordable, and effective care, especially for the groups experiencing the greatest inequities in access. Above all, instead of assuming best practices in treatment delivery and monitoring after screening, we argue for realism about the health care system functioning in routine practice.

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.

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.

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.

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.

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.

'Home is where the health is': Housing quality and adult health outcomes in the Survey of Income and Program Participation.

Nearly a quarter of the homes in the United States were considered unhealthy or inadequate, but whether these housing characteristics have direct effects on health or whether they are driven by other contextual housing and neighborhood characteristics remains unclear. The purpose of this study was to quantify the independent associations between poor housing quality and adult health outcomes, adjusting for socioeconomic factors (e.g. income to poverty ratio, food insecurity) and other contextual housing characteristics (e.g. rental status, number of people per household, unsafe neighborhood). Using in-person household interview data from wave 1 of the 2014 Survey of Income and Program Participation (SIPP), a secondary analysis was performed using a series of logistic regression models. The 2014 SIPP sample is a multistage stratified sample of 53,070 housing units designed to represent the civilian, noninstitutionalized population of the United States (N = 55,281 adults ages 18 and older). Our results indicate that each additional poor housing characteristic was associated with poorer health status (OR: 1.17, CI [1.11, 1.23]), higher medical utilization (OR: 1.11 CI: [1.06, 1.16]), and a higher likelihood of hospitalization (OR: 1.07, CI [1.02, 1.12]). Non-housing-related government assistance, food security, and safe neighborhoods only partially explained associations between housing quality and health outcomes. Evaluating current local, state, and federal policy on housing quality standards may help determine if these standards decrease the number of Americans residing in inadequate homes or result in improvements in health and reductions in healthcare costs. Simply put, the home is where [we suggest] the health is.

Impact of Stressful Climates on Provider Perceptions of Integrated Behavioral Health Services in Pediatric Primary Care: An Exploratory Study.

OBJECTIVE: Pediatric primary care providers (PCPs) work in challenging environments and are increasingly called to implement complex interventions, such as behavioral health (BH) service integration. We explore how perceived stressful practice climates (1) change over time in and (2) influence provider perceptions of collaborative care versus usual care, 2 models of integrated BH care. METHODS: Secondary exploratory analysis using hierarchical linear modeling was performed on an 18-month cluster-randomized trial of 8 pediatric primary care practices to Doctor-Office Collaborative Care (DOCC), where an on-site care manager delivered BH services in coordination with PCPs, or Enhanced Usual Care (EUC), where a care manager facilitated referrals to local BH providers. Various indicators of PCP perceptions of BH services, including satisfaction with practice, burdens and beliefs regarding psychosocial problems, and effectiveness in treating behavioral problems, were assessed as outcomes. Moderators were 2 domains of stressful climates, role conflict and role overload. RESULTS: Role conflict and role overload stayed stable in both conditions. Role conflict strengthened the positive effect of DOCC on PCP perceived effectiveness in treating behavioral problems (ß [SE], 0.04 [0.02]; p = 0.04) and improvement in managing oppositional/aggressive behavior (0.02 [0.01]; p = 0.02). Role overload strengthened the positive effect of DOCC on PCP-perceived improvement in managing attention-deficit hyperactivity disorder (0.03 [0.01]; p = 0.01). Stressful climates did not influence perceptions for EUC providers. CONCLUSIONS: Providers experiencing more stressful practice climates developed more positive perceptions of collaborative care. This may encourage stressed providers to make effective practice changes and promote practice integration of BH services.

Social determinants of health priorities of state Medicaid programs.

BACKGROUND: Growing understanding of the influence of social determinants of health (SDH) on healthcare costs and outcomes for low income populations is leading State Medicaid agencies to consider incorporating SDH into their program design. This paper explores states' current approaches to SDH. METHODS: A mixed-methods approach combined a web-based survey sent through the Medicaid Medical Director Network (MMDN) listserv and semi-structured interviews conducted at the MMDN Annual Meeting in November 2017. RESULTS: Seventeen MMDs responded to the survey and 14 participated in an interview. More than half reported current collection of SDH data and all had intentions for future collection. Most commonly reported SDH screening topics were housing instability and food insecurity. In-depth interviews underscored barriers to optimal SDH approaches. CONCLUSION: These results demonstrate that Medicaid leaders recognize the importance of SDH in improving health, health equity, and healthcare costs for the Medicaid population but challenges for sustainable implementation remain.

Implications of eligibility category churn for pediatric payment in Medicaid.

OBJECTIVES: To describe the extent and implications of "churn" between different Medicaid eligibility classifications in a pediatric population: (1) aged, blind, and disabled (ABD) Medicaid eligibility, determined by disability status and family income; and (2) Healthy Start Medicaid eligibility, determined by family income alone. STUDY DESIGN: As a result of a 2013 policy change, children with ABD eligibility transitioned from fee-for-service to capitated care. We used Ohio Medicaid claims data from July 2013 through June 2015 to explore the relationships among instability in eligibility category, demographics, and utilization. METHODS: To examine the potential financial effect of categorical churn, an effective capitation rate was created to capture the proportion of the maximum potential capitation rate that was realized. RESULTS: More than 20% of children exited ABD-based eligibility at least once. Switching was associated with younger age and rural residence and was not associated with healthcare use. CONCLUSIONS: Switching between eligibility categories is common and affects average capitation but not health service use.

How U.S. children's hospitals define population health: a qualitative, interview-based study.

BACKGROUND: The literature suggests that although adult hospitals are establishing population health programs around the country, there is considerable definitional ambiguity regarding whether interventions are aimed at the social determinants of health or the management of existing patient populations. U.S. children's hospitals also undertake population health programs, but less is known about how they define population health. The purpose of this study is to understand how U.S. children's hospitals define population health, and how institutions are adjusting to new preventive health care models. METHODS: We conducted semi-structured interviews with key stakeholders at ten hospitals with the highest amount of staff time dedicated to population health activities as reported in the 2016 Children's Hospital Association's population health survey. Using a semi-structured interview guide, we interviewed representatives from each hospital. Verbatim interview notes were coded and analyzed using the data analysis software Dedoose. Data analysis followed a modified constructivist grounded theory approach. RESULTS: Our results suggest that even population health innovators employ a variety of approaches that span both population health management and public health. We present further evidence that U.S. children's hospitals are actively debating the definition and focus of population health. CONCLUSIONS: Definitional debates are ongoing even within children's hospitals that are dedicating significant resources to population health. Increased clarity on the conceptual boundaries between population health and population health management could help preserve the theoretical differences between the two concepts, especially insofar as they mark two quite different long-term visions for health care. Without agreement about the meaning of population health within and among institutions, hospitals will not be able to know whether projects aimed at addressing the social determinants of health are likely to improve the health of populations.