Child Opportunity Index and Hospital Utilization in Children With Traumatic Brain Injury Admitted to the PICU.

The need to understand how Community-based disparities impact morbidity and mortality in pediatric critical illness, such as traumatic brain injury. Test the hypothesis that ZIP code-based disparities in hospital utilization, including length of stay (LOS) and hospital costs, exist in a cohort of children with traumatic brain injury (TBI) admitted to a PICU using the Child Opportunity Index (COI). DESIGN: Multicenter retrospective cohort study. SETTING: Pediatric Health Information System (PHIS) database. PATIENTS: Children 0-18 years old admitted to a PHIS hospital with a diagnosis of TBI from January 2016 to December 2020 requiring PICU care. To identify the most severely injured children, a study-specific definition of "Complicated TBI" was created based on radiology, pharmacy, and procedure codes. INTERVENTIONS: None. Main Outcomes and Measures: Using nationally normed ZIP code-level COI data, patients were categorized into COI quintiles. A low COI ZIP code has low childhood opportunity based on weighted indicators within educational, health and environmental, and social and economic domains. Population-averaged generalized estimating equation (GEE) models, adjusted for patient and clinical characteristics examined the association between COI and study outcomes, including hospital LOS and accrued hospital costs. The median age of this cohort of 8,055 children was 58 months (interquartile range [IQR], 8-145 mo). There were differences in patient demographics and rates of Complicated TBI between COI levels. The median hospital LOS was 3.0 days (IQR, 2.0-6.0 d) and in population-averaged GEE models, children living in very low COI ZIP codes were expected to have a hospital LOS 10.2% (95% CI, 4.1-16.8%; p = 0.0142) longer than children living in very high COI ZIP codes. For the 11% of children with a Complicated TBI, the relationship between COI and LOS was lost in multivariable models. COI level was not predictive of accrued hospital costs in this study. CONCLUSIONS: Children with TBI requiring PICU care living in low-opportunity ZIP codes have higher injury severity and longer hospital LOS compared with children living in higher-opportunity ZIP codes. Additional studies are needed to understand why these differences exist.

Weekend Versus Weekday Asthma-Related Emergency Department Utilization.

OBJECTIVE: To assess variation in asthma-related emergency department (ED) use between weekends and weekdays. METHODS: Cross-sectional administrative claims-based analysis using California 2016 Medicaid data and Vermont 2016 and Massachusetts 2015 all-payer claims databases. We defined ED use as the rate of asthma-related ED visits per 100 child-years. A weekend visit was a visit on Saturday or Sunday, based on date of ED visit claim. We used negative binomial regression and robust standard errors to assess variation between weekend and weekday rates, overall and by age group. RESULTS: We evaluated data from 398,537 patients with asthma. The asthma-related ED visit rate was slightly lower on weekends (weekend: 18.7 [95% confidence interval (CI): 18.3-19.0], weekday: 19.6 [95% CI, 19.3-19.8], P < .001). When stratifying by age group, 3- to 5-year-olds had higher rates of asthma-related ED visits on weekends than weekdays (weekend: 33.7 [95% CI, 32.6-34.7], weekday: 29.8 [95% CI, 29.1-30.5], P < .001) and 12- to 17-year-olds had lower rates of ED visits on weekends than weekdays (weekend: 13.0 [95% CI: 12.5-13.4], weekday: 16.3 [95% CI: 15.9-16.7], P < .001). In the other age groups (6-11, 18-21 years) there were not statistically significant differences between weekend and weekday rates (P > .05). CONCLUSIONS: In this multistate analysis of children with asthma, we found limited overall variation in pediatric asthma-related ED utilization on weekends versus weekdays. These findings suggest that increasing access options during the weekend may not necessarily decrease asthma-related ED use.

Medicaid's EPSDT Benefit: An Opportunity to Improve Pediatric Screening for Social Determinants of Health.

The Early and Periodic Screening, Diagnostic, and Treatment (EPSDT) benefit is a key component of Medicaid policy intended to define an essential set of services provided to patients younger than age 21. Given increasing attention to social determinants of health in pediatric health care, this qualitative review examines the extent to which EPSDT might be used to implement structured screening to identify environmental and social factors affecting children's health. Themes derived from semistructured interviews conducted in 2017 were triangulated with a review of the recent literature to describe how states currently consider the EPSDT benefit with respect to social determinants of health screening. Our findings suggest that, with sufficient stakeholder advocacy given the evidence supporting social determinants of health screening as "medically necessary," EPSDT benefits could be considered as a funding source to incentivize the incorporation of social determinants of health screening into the basic package of well-child care.

Depression, Anxiety, and Emergency Department Use for Asthma.

BACKGROUND AND OBJECTIVES: Asthma is responsible for ∼1.7 million emergency department (ED) visits annually in the United States. Studies in adults have shown that anxiety and depression are associated with increased asthma-related ED use. Our objective was to assess this association in pediatric patients with asthma. METHODS: We identified patients aged 6 to 21 years with asthma in the Massachusetts All-Payer Claims Database for 2014 to 2015 using International Classification of Diseases, Ninth and 10th Revision codes. We examined the association between the presence of anxiety, depression, or comorbid anxiety and depression and the rate of asthma-related ED visits per 100 child-years using bivariate and multivariable analyses with negative binomial regression. RESULTS: Of 65 342 patients with asthma, 24.7% had a diagnosis of anxiety, depression, or both (11.2% anxiety only, 5.8% depression only, and 7.7% both). The overall rate of asthma-related ED use was 17.1 ED visits per 100 child-years (95% confidence interval [CI]: 16.7-17.5). Controlling for age, sex, insurance type, and other chronic illness, patients with anxiety had a rate of 18.9 (95% CI: 17.0-20.8) ED visits per 100 child-years, patients with depression had a rate of 21.7 (95% CI: 18.3-25.0), and patients with both depression and anxiety had a rate of 27.6 (95% CI: 24.8-30.3). These rates were higher than those of patients who had no diagnosis of anxiety or depression (15.5 visits per 100 child-years; 95% CI: 14.5-16.4; P < .001). CONCLUSIONS: Children with asthma and anxiety or depression alone, or comorbid anxiety and depression, have higher rates of asthma-related ED use compared with those without either diagnosis.

Estimated Nonreimbursed Costs for Care Coordination for Children With Medical Complexity.

: media-1vid110.1542/5852348672001PEDS-VA_2017-3562Video Abstract BACKGROUND AND OBJECTIVES: Multidisciplinary care teams may improve health and control total cost for children with medical complexity (CMC). We aim to quantify the time required to perform nonreimbursed care coordination activities by a multidisciplinary care coordination program for CMC and to estimate the direct salary costs of that time. METHODS: From April 2013 to October 2015, program staff tracked time spent in practicably measured nonbilled care coordination efforts. Staff documented the discipline involved, the method used, and the target of the activity. Cost was estimated by multiplying the time spent by the typical salary of the type of personnel performing the activity. RESULTS: Staff logged 53 148 unique nonbilled care coordination activities for 208 CMC. Dietitians accounted for 26% of total time, physicians and nurse practitioners 24%, registered nurses 29%, and social workers 21% (1.8, 2.3, 1.2, and 1.4 hours per CMC per month per full-time provider, respectively). Median time spent in nonreimbursed care coordination was 2.3 hours per child per month (interquartile range 0.8-6.8). Enrollees required substantially greater time in their first program month than thereafter (median 6.7 vs 2.1 hours per CMC per month). Based on 2015 national salary data, the adjusted median estimated cost of documented activities ranged from $145 to $210 per CMC per month. CONCLUSIONS: In this multidisciplinary model, care coordination for CMC required substantial staff time, even without accounting for all activities, particularly in the first month of program enrollment. Continued advocacy is warranted for the reimbursement of care coordination activities for CMC.

A transdisciplinary team approach to scoping reviews: the case of pediatric polypharmacy.

BACKGROUND: Polypharmacy can be either beneficial or harmful to children. We conducted a scoping review to examine the concept of pediatric polypharmacy: its definition, prevalence, extent and gaps in research. In this manuscript, we report our transdisciplinary scoping review methodology. METHODS: After establishing a transdisciplinary team, we iteratively developed standard operating procedures for the study's search strategy, inclusion/exclusion criteria, screening, and data extraction. We searched eight bibliographic databases, screened abstracts and full text articles, and extracted data from included studies using standardized forms. We held regular team meetings and performed ongoing internal validity measurements to maintain consistent and quality outputs. RESULTS: With the aid of EPPI Reviewer collaborative software, our transdisciplinary team of nine members performed dual reviews of 363 included studies after dual screening of 4398 abstracts and 1082 full text articles. We achieved overall agreement of 85% and a kappa coefficient of 0.71 (95% CI 0.68-0.74) while screening full text articles. The screening and review processes required about seven hours per extracted study. The two pharmacists, an epidemiologist, a neurologist, and a librarian on the review team provided internal consultation in these key disciplines. A stakeholder group of 10 members with expertise in evidence synthesis, research implementation, pediatrics, mental health, epilepsy, pharmacoepidemiology, and pharmaceutical outcomes were periodically consulted to further characterize pediatric polypharmacy. CONCLUSIONS: A transdisciplinary approach to scoping reviews, including internal and external consultation, should be considered when addressing complex cross-disciplinary questions.

Defining and Measuring Community Engagement and Community-Engaged Research: Clinical and Translational Science Institutional Practices.

BACKGROUND: The institutions that comprise the Clinical and Translational Science Award (CTSA) consortium and the National Center for Advancing Translational Sciences continue to explore and develop community-engaged research strategies and to study the role of community academic partnerships in advancing the science of community engagement. OBJECTIVES: To explore CTSA institutions in relation to an Institute of Medicine recommendation that community engagement occur in all stages of translational research and be defined and evaluated consistently. METHODS: A sequential multimethods study starting with an online pilot survey followed by survey respondents and site informant interviews. A revised survey was sent to the community engagement and evaluation leads at each CTSA institution, requesting a single institutional response about the definitions, indicators, and metrics of community engagement and community-engaged research. RESULTS: A plurality of CTSA institutions selected the definition of community engagement from the Principles of Community Engagement. Although claiming unique institutional priorities create barriers to developing shared metrics, responses indicate an overall lack of attention to the development and deployment of metrics to assess community engagement in and contributions to research. CONCLUSIONS: Although definitions of community engagement differ among CTSAs, there seem to be more similarities than differences in the indicators and measures tracked and reported on across all definitions, perhaps owing to commonalities among program infrastructures and goals. Metrics will likely need to be specific to translational research stages. The assessment of community engagement within translational science will require increased institutional commitment.

Behavioral Health Diagnoses Among Children and Adolescents Hospitalized in the United States: Observations and Implications.

OBJECTIVE: The study described rates and characteristics of U.S. children hospitalized with a behavioral (mental or substance use) disorder. METHODS: This cross-sectional analysis of data from the 2012 Kids' Inpatient Database included 483,281 hospitalizations in general and children's hospitals of persons under age 21 with a primary or secondary behavioral diagnosis. RESULTS: The admission rate with any behavioral diagnosis was 5.5 per 1,000 children in the U.S. population, with 2.9 having a primary behavioral diagnosis. Common primary diagnoses included depression (34%), other mood (31%), psychotic (9%), and substance use (7%) disorders. The most common behavioral diagnoses secondary to a primary diagnosis that is not behavioral were depression (26%), attention-deficit disorder (26%), and substance use disorders (22%). Suicide or self-harm was rarely the primary diagnosis (.1%) but complicated 12% of admissions with a primary behavioral diagnosis. Variations in admissions (per 1,000 children in the U.S. population) with a primary behavioral diagnosis were noted by race-ethnicity (blacks, 3.2; whites, 2.9; and Hispanics, 1.4), insurance (public, 2.9; private, 2.0), and geographic region. Fifty-nine of every 1,000 peripartum admissions in the 12-20 age group had a secondary behavioral diagnosis. Patients with behavioral comorbidities were more likely to be transferred to another facility (8.0% versus 2.2%, p<.001). Behavioral disorders comorbid to nonbehavioral disorders increased length of stay (4.3 versus 3.3 days, p<.001) and costs ($12,742 versus $9,929, p<.001). CONCLUSIONS: Nearly 500,000 pediatric admissions in 2012 included behavioral disorders. Comorbidities were associated with longer stays and an estimated $1.36 billion additional annual costs, which were disproportionately borne by public insurance.

Does receiving care in a medical home reduce racial/ethnic disparities in ED visits among children with asthma in the United States?

Evidence has shown the implementation of medical home model improves care quality and outcomes. However, it is not clear whether receiving care from a medical home has any impact on racial/ethnic disparities in emergency department (ED) use by children with asthma. This study using the US National Survey of Children with Special Health Care Needs, 2009-2010, estimated racial/ethnic disparities in ED use. Generalized liner models were used to examine factors associated with ED use. Racial/ethnic differences in ED use were attenuated after adjusting for socio-economic variables. Ratios of prevalence ratios were calculated to examine the effect modification of medical home on ED use associated with race/ethnicity. The adjusted prevalence ratio of ED use of the Black to non-Hispanic White was 1.51 (95% confidence interval (CI): 1.36-1.67) with medical home and 1.35 (95% CI: 1.24-1.47) without medical home. Among those with care from a medical home Latino children had higher ED use compared with White children. There is no evidence that the self-reported care from a medical home narrows the gaps in ED use between non-Hispanic White and Black or Latino children with asthma.

Developing measures for pediatric quality: methods and experiences of the CHIPRA pediatric quality measures program grantees.

BACKGROUND: Monitoring quality is an important way of understanding how the health care system is serving children and families. The Children's Health Insurance Program Reauthorization Act of 2009 (CHIPRA) Pediatric Quality Measures Program (PQMP) funded efforts to develop and enhance measures to assess care for children and adolescents. We describe the processes used by the PQMP grantees to develop measures to assess the health care of children and adolescents in Medicaid and the Children's Health Insurance Program. METHODS: Key steps in the measures development process include identifying concepts, reviewing and synthesizing evidence, prioritizing concepts, defining how measures should be calculated, and measure testing. Stakeholder engagement throughout the process is critical. Case studies illustrate how PQMP grantees adapted the process to respond to the nature of measures they were charged to develop and overcome challenges encountered. RESULTS: PQMP grantees used varied approaches to measures development but faced common challenges, some specific to the field of pediatrics and some general to all quality measures. Major challenges included the limited evidence base, data systems difficult or unsuited for measures reporting, and conflicting stakeholder priorities. CONCLUSIONS: As part of the PQMP, grantees were able to explore innovative methods to overcome measurement challenges, including new approaches to building the evidence base and stakeholder consensus, integration of alternative data sources, and implementation of new testing methods. As a result, the PQMP has developed new quality measures for pediatric care while also building an infrastructure, expertise, and enhanced methods for measures development that promise to provide more relevant and meaningful tools for improving the quality of children's health care.

Rank reversal in indirect comparisons.

OBJECTIVE: To describe rank reversal as a source of inconsistent interpretation intrinsic to indirect comparison (Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epi 1997;50:683-91) of treatments and to propose best practice. METHODS: We prove our main points with intuition, examples, graphs, and mathematical proofs. We also provide software and discuss implications for research and policy. RESULTS: When comparing treatments by indirect means and sorting them by effect size, three common measures of comparison (risk ratio, risk difference, and odds ratio) may lead to vastly different rankings. CONCLUSIONS: The choice of risk measure matters when making indirect comparisons of treatments. The choice should depend primarily on the study design and the conceptual framework for that study.

Impact of state laws that extend eligibility for parents' health insurance coverage to young adults.

BACKGROUND AND OBJECTIVES: The 2010 Affordable Care Act mandates that health insurance companies make those up to age 26 eligible for their parents' policies. Thirty-four states previously enacted similar laws. The authors sought to examine the impact on access to care of state laws extending eligibility of parents' insurance to young adults. METHODS: By using a difference-in-differences analysis, we examined the 2002-2004 and 2008-2009 Behavior Risk Factor Surveillance System to compare 3 states enacting laws in 2005 or 2006 with 17 states that have not enacted laws on 4 outcomes: self-reported health insurance coverage, identification of a personal physician/clinician, physical exam from a physician within the past 2 years, and forgoing care in the past year due to cost. RESULTS: For each outcome there was differential improvement among states enacting laws compared with states without laws. Health insurance differentially increased 0.2% (95% confidence interval [CI], -3.8% to 4.2%), from 67.6% to 68.1% pre-post in states enacting laws and from 68.5% to 68.7% in states without. Personal physician/clinician identification differentially increased 0.9% (95% CI -3.1% to 5.0%), from 62.4% to 65.5% in states enacting laws and from 58.0% to 60.2% in states without. Recent physical exams differentially increased significantly 4.6% (95% CI, 0%-9.2%), from 77.3% to 81.2% in states enacting laws and from 76.2% to 75.5% in states without. Forgone care due to cost differentially decreased significantly 3.9% (95% CI, -0.3% to -7.5%), from 20.4% to 18.2% in states enacting laws and from 17.8% to 19.4% in states without. CONCLUSIONS: States that expanded eligibility to parents' insurance in 2005 or 2006 experienced improvements in access to care among young adults.

A partnered approach for structured observation to assess the environment of a neighborhood with high diabetes rates.

BACKGROUND: The Communities IMPACT Diabetes Center uses partnered methods to address diabetes-related conditions among African Americans and Latinos in East Harlem, New York. OBJECTIVES: To describe a novel, partnered approach that integrates simultaneous structured observation by community and academic partners with "on-the-spot" resolution of differences to collect baseline data regarding the built and food environments in a two census tract area of East Harlem and present select findings. METHODS: We designed an environmental assessment to explore characteristics of the environment related to walking and eating. We paired community and academic partners to assess each block, resolve any differences, and report results. Nearly one year later, we surveyed the data collectors and analyzed responses using standard qualitative methods. RESULTS: Key themes included connection to and characteristics of the community; interactions with partners; surprises and learning, and aspects of data collection. All but the first were common to academic and community partners. Relationships between partners were generally amiable. Both community-"I think it was very helpful, we made sure neither of us made mistakes, and helped each other when we could"-and academic-"I really enjoyed it . . . I learned a lot about the areas I surveyed"-partners were complimentary. Community partners' strengths included local knowledge of the community, whereas academic partners' focus on adherence to the specifications was critical. Structured observation identified many sidewalks in disrepair or obstructed, few benches, and highly variable times allocated for pedestrians to cross at cross walks. CONCLUSIONS: The partnered data collection was both successful and formative, building additional relationships and further capacity for ongoing partnership. Community partners saw their community in a new way, seeing, "little things that are important but people don't pay attention to." Structured observations added to our understanding of how an environment may contribute to diabetes.

A community-engaged approach to select geographic areas for interventions to reduce health disparities.

BACKGROUND: While neighborhood-based approaches to eliminate health disparities are on the rise, there is little guidance on how researchers may engage with community partners to select geographic areas for interventions to reduce health disparities. We aimed to identify a small geographic area to target interventions to improve diabetes-related outcomes. OBJECTIVES: We describe lessons learned from a community-engaged approach to specify the geographic area of focus. METHODS: A community-academic partnership of more than 20 organizations collaborated to develop and employ a 5-stage process to specify a target area for diabetes preventions and control activities. LESSONS LEARNED: A coalition with local knowledge and ties to the community can develop criteria and direct a process leading to selection of a geographic area, increased research capacity, and strengthened relationships among partners. CONCLUSION: A participatory approach can be effective in defining a geographic area for targeting interventions to reduce health disparities.

What's the Risk? A simple approach for estimating adjusted risk measures from nonlinear models including logistic regression.

OBJECTIVE: To develop and validate a general method (called regression risk analysis) to estimate adjusted risk measures from logistic and other nonlinear multiple regression models. We show how to estimate standard errors for these estimates. These measures could supplant various approximations (e.g., adjusted odds ratio [AOR]) that may diverge, especially when outcomes are common. STUDY DESIGN: Regression risk analysis estimates were compared with internal standards as well as with Mantel-Haenszel estimates, Poisson and log-binomial regressions, and a widely used (but flawed) equation to calculate adjusted risk ratios (ARR) from AOR. DATA COLLECTION: Data sets produced using Monte Carlo simulations. PRINCIPAL FINDINGS: Regression risk analysis accurately estimates ARR and differences directly from multiple regression models, even when confounders are continuous, distributions are skewed, outcomes are common, and effect size is large. It is statistically sound and intuitive, and has properties favoring it over other methods in many cases. CONCLUSIONS: Regression risk analysis should be the new standard for presenting findings from multiple regression analysis of dichotomous outcomes for cross-sectional, cohort, and population-based case-control studies, particularly when outcomes are common or effect size is large.

Black/white differences in very low birth weight neonatal mortality rates among New York City hospitals.

OBJECTIVE: We sought to determine whether differences in the hospitals at which black and white infants are born contribute to black/white disparities in very low birth weight neonatal mortality rates in New York City. METHODS: We performed a population-based cohort study using New York City vital statistics records on all live births and deaths of infants weighing 500 to 1499 g who were born in 45 hospitals between January 1, 1996, and December 31, 2001 (N = 11 781). We measured very low birth weight risk-adjusted neonatal mortality rates for each New York City hospital and assessed differences in the distributions of non-Hispanic black and non-Hispanic white very low birth weight births among these hospitals. RESULTS: Risk-adjusted neonatal mortality rates for very low birth weight infants in New York City hospitals ranged from 9.6 to 27.2 deaths per 1000 births. White very low birth weight infants were more likely to be born in the lowest mortality tertile of hospitals (49%), compared with black very low birth weight infants (29%). We estimated that, if black women delivered in the same hospitals as white women, then black very low birth weight mortality rates would be reduced by 6.7 deaths per 1000 very low birth weight births, removing 34.5% of the black/white disparity in very low birth weight neonatal mortality rates in New York City. Volume of very low birth weight deliveries was modestly associated with very low birth weight mortality rates but explained little of the racial disparity. CONCLUSION: Black very low birth weight infants more likely to be born in New York City hospitals with higher risk-adjusted neonatal mortality rates than were very low birth weight infants, contributing substantially to black-white disparities.