Association of County-Level Availability of Pediatricians With Emergency Department Visits.

OBJECTIVES: The relationship between pediatrician availability and emergency department (ED) attendance is uncertain. We determined whether children in counties with more pediatricians had fewer ED visits. METHODS: We conducted a cross-sectional study of all ED visits among children younger than 18 years from 6 states. We obtained ED visit incidences by county and assessed the relationship to pediatrician density (pediatricians per 1000 children). Possible confounders included state, presence of an urgent care facility in the county, urban-rural status, and quartile of county-level characteristics: English-speaking, Internet access, White race, socioeconomic status, and public insurance. We estimated county-level changes in incidence by pediatrician density adjusting for state and separately for all possible confounders. RESULTS: Each additional pediatrician per 1000 children was associated with a 13.7% (95% confidence interval, -19.6% to -7.5%) decrease in ED visits in the state-adjusted model. In the full model, there was no association (-1.4%, 95% confidence interval, -7.2% to 4.8%). The presence of an urgent care, higher socioeconomic status score, urban status, and higher proportions of White race and nonpublic insurance were each associated with decreased ED visit rates. CONCLUSIONS: Pediatrician density is not associated with decreased ED visits after adjusting for other county demographic factors. Increasing an area's availability of pediatricians may not affect ED attendance.

A novel tool using social and environmental determinants of health to assess pediatric asthma in the emergency department.

Asthma, the most common chronic disease in children, affects more than 4 million children in the United States, disproportionately affecting those who are economically disadvantaged and racial and ethnic minorities. Studies have shown that the racial and ethnic disparities in asthma outcomes can be largely explained by environmental, socioeconomic and other social determinants of health (SDoH). Utilizing new approaches to stratify disease severity and risk, which focus on the underlying SDoH that lead to asthma disparity, provides an opportunity to disentangle race and ethnicity from its confounding social determinants. In particular, with the growing use of geospatial information systems, geocoded data can enable researchers and clinicians to quantify social and environmental impacts of structural racism. When these data are systematically collected and tabulated, researchers, and ultimately clinicians at the bedside, can evaluate patients' neighborhood context and create targeted interventions toward those factors most associated with asthma morbidity. To do this, we have designed a view (mPage in the Cerner electronic health record) that centralizes key clinical information and displays it alongside SDoH variables shown to be linked to asthma incidence and severity. Once refined and validated, which is the next step in our project, our goal is for emergency medicine clinicians to use these data in real time while caring for patients with asthma. Our multidisciplinary, patient-centered approach that leverages modern informatics tools will create opportunities to better triage patients with asthma exacerbations, choose the best interventions, and target underlying determinants of disease.

Mental Health Revisits at US Pediatric Emergency Departments.

Importance: Pediatric emergency department (ED) visits for mental health crises are increasing. Patients who frequently use the ED are of particular concern, as pediatric mental health ED visits are commonly repeat visits. Better understanding of trends and factors associated with mental health ED revisits is needed for optimal resource allocation and targeting of prevention efforts. Objective: To describe trends in pediatric mental health ED visits and revisits and to determine factors associated with revisits. Design, Setting, and Participants: In this cohort study, data were obtained from 38 US children's hospital EDs in the Pediatric Health Information System between October 1, 2015, and February 29, 2020. The cohort included patients aged 3 to 17 years with a mental health ED visit. Exposures: Characteristics of patients, encounters, hospitals, and communities. Main Outcomes and Measures: The primary outcome was a mental health ED revisit within 6 months of the index visit. Trends were assessed using cosinor analysis and factors associated with time to revisit using mixed-effects Cox proportional hazards regression. Results: There were 308 264 mental health ED visits from 217 865 unique patients, and 13.2% of patients had a mental health revisit within 6 months. Mental health visits increased by 8.0% annually (95% CI, 4.5%-11.4%), whereas all other ED visits increased by 1.5% annually (95% CI, 0.1%-2.9%). Factors associated with mental health ED revisits included psychiatric comorbidities, chemical restraint use, public insurance, higher area measures of child opportunity, and presence of an inpatient psychiatric unit at the presenting hospital. Patients with psychotic disorders (hazard ratio [HR], 1.42; 95% CI, 1.29-1.57), disruptive or impulse control disorders (HR, 1.36; 95% CI, 1.30-1.42), and neurodevelopmental disorders (HR, 1.22; 95% CI, 1.14-1.30) were more likely to revisit. Patients with substance use disorders (HR, 0.60; 95% CI, 0.55-0.66) were less likely to revisit. Conclusions and Relevance: Markers of disease severity and health care access were associated with mental health revisits. Directing hospital and community interventions toward identified high-risk patients is needed to help mitigate recurrent mental health ED use and improve mental health care delivery.

Geospatial data in pediatric asthma in the United States: a scoping review protocol.

OBJECTIVE: The objective of this scoping review is to identify and describe the literature on the use of geospatial data in pediatric asthma research. INTRODUCTION: Asthma is one of the most common pediatric chronic diseases in the United States, disproportionately affecting low-income patients. Asthma exacerbations may be triggered by local environmental factors, such as air pollution or exposure to indoor allergens. Geographic information systems are increasingly recognized as tools that use geospatial data to enhance understanding of the link between environmental exposure, social determinants of health, and clinical outcomes. Geospatial data in pediatric asthma may help inform risk factors for asthma severity, and guide targeted clinical and social interventions. INCLUSION CRITERIA: This review will consider studies that utilize geospatial data in the evaluation of pediatric patients with asthma, ages 2 to 18 years, in the United States. Mixed samples of adults and children will also be considered. Geospatial data will include any external non-clinical geographic-based data source that uses a patient's environment or context. METHODS: The following databases will be searched: PubMed, Embase, Cochrane CENTRAL, CINAHL, ERIC, Web of Science, and IEEE. Gray literature will be searched in DBLP, the US Environmental Protection Agency, Google Scholar, Google search, and a hand search of recent abstracts from relevant conferences. Articles published in English, Spanish, and French from 2010 to the present will be included. Study screening and selection will be performed independently by 2 reviewers. Data extraction will be performed by a trained research team member following pilot testing.

Availability of Pediatric Inpatient Services in the United States.

OBJECTIVES: We sought to evaluate trends in pediatric inpatient unit capacity and access and to measure pediatric inpatient unit closures across the United States. METHODS: We performed a retrospective study of 4720 US hospitals using the 2008-2018 American Hospital Association survey. We used linear regression to describe trends in pediatric inpatient unit and PICU capacity. We compared trends in pediatric inpatient days and bed counts by state. We examined changes in access to care by calculating distance to the nearest pediatric inpatient services by census block group. We analyzed hospital characteristics associated with pediatric inpatient unit closure in a survival model. RESULTS: Pediatric inpatient units decreased by 19.1% (34 units per year; 95% confidence interval [CI] 31 to 37), and pediatric inpatient unit beds decreased by 11.8% (407 beds per year; 95% CI 347 to 468). PICU beds increased by 16.0% (66.9 beds per year; 95% CI 53 to 81), primarily at children's hospitals. Rural areas experienced steeper proportional declines in pediatric inpatient unit beds (-26.1% vs -10.0%). Most states experienced decreases in both pediatric inpatient unit beds (median state -18.5%) and pediatric inpatient days (median state -10.0%). Nearly one-quarter of US children experienced an increase in distance to their nearest pediatric inpatient unit. Low-volume pediatric units and those without an associated PICU were at highest risk of closing. CONCLUSIONS: Pediatric inpatient unit capacity is decreasing in the United States. Access to inpatient care is declining for many children, particularly those in rural areas. PICU beds are increasing, primarily at large children's hospitals. Policy and surge planning improvements may be needed to mitigate the effects of these changes.

Trends in Regionalization of Emergency Care for Common Pediatric Conditions.

BACKGROUND: For children who cannot be discharged from the emergency department, definitive care has become less frequent at most hospitals. It is uncertain whether this is true for common conditions that do not require specialty care. We sought to determine how the likelihood of definitive care has changed for 3 common pediatric conditions: asthma, croup, and gastroenteritis. METHODS: We used the Nationwide Emergency Department Sample database to study children <18 years old presenting to emergency departments in the United States from 2008 to 2016 with a primary diagnosis of asthma, croup, or gastroenteritis, excluding critically ill patients. The primary outcome was referral rate: the number of patients transferred among all patients who could not be discharged. Analyses were stratified by quartile of annual pediatric volume. We used logistic regression to determine if changes over time in demographics or comorbidities could account for referral rate changes. RESULTS: Referral rates increased for each condition in all volume quartiles. Referral rates were greatest in the lowest pediatric volume quartile. Referral rates in the lowest pediatric volume quartile increased for asthma (13.6% per year; 95% confidence interval [CI] 5.6%-22.2%), croup (14.8% per year; 95% CI 2.6%-28.3%), and gastroenteritis (16.4% per year; 95% CI 3.5%-31.0%). Changes over time in patient age, sex, comorbidities, weekend presentation, payer mix, urban-rural location of presentation, or area income did not account for these findings. CONCLUSIONS: Increasing referral rates over time suggest decreasing provision of definitive care and regionalization of inpatient care for 3 common, generally straightforward conditions.

Pediatric Inpatient Psychiatric Capacity in the US, 2017 to 2020.

This cross-sectional study assesses US pediatric inpatient psychiatric capacity and identifies state-level variation in access to pediatric inpatient psychiatric beds.