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.

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.

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.

"THINK" Before You Order: Multidisciplinary Initiative to Reduce Unnecessary Lab Testing.

Inappropriate daily lab testing can have adverse effects on patients, including anemia, pain, and interruption of sleep. We implemented a student-led, multifaceted intervention featuring clinician education, publicity campaign, gamification, and system changes, including a novel nurse-driven protocol to reduce unnecessary daily lab testing in a teaching hospital. We applied a quasi-experimental interrupted time series design with a segmented regression analysis to estimate changes before and after our 14-month intervention with a comparison to a control surgical unit. There was an increasing trend in the baseline period, which was mitigated by the intervention (postintervention effect estimate -0.04 labs per patient day/month, p < .05), which was not seen in the control unit. Estimated cost savings was $94,269 ($6,734/month). A student-led, multidisciplinary campaign involving nurse-driven pathway, education, publicity, gamification, and system changes was effective in reducing daily lab testing.

Assessing the use of BreatheSmart® mobile technology in adult patients with asthma: a remote observational study.

INTRODUCTION: Non-adherence to asthma daily controller medications is a common problem, reported to be responsible for 60% of asthma-related hospitalisations. The mean level of adherence for asthma medications is estimated to be as low as 22%. Therefore, objective measurements of adherence to medicine are necessary. This virtual observational study is designed to measure the usability of an electronic monitoring device platform that measures adherence. Understanding how patients use the BreatheSmart mobile technology at home is essential to assess its feasibility as a solution to improve medication adherence. We anticipate this approach can be applied to real-world environments as a cost-effective solution to improve medication adherence. METHODS AND ANALYSIS: This is a virtual 6-month observational study of 100 adults (≥18 years) with an asthma diagnosis, using inhaled corticosteroids for at least 3 months. Participants will be recruited in the USA through ad placements online. All participants receive wireless Bluetooth-enabled inhaler sensors that track medication usage and an mSpirometerTM capable of clinical-grade lung function measurements, and download the BreatheSmart mobile application that transmits data to a secure server. All analyses are based on an intention-to-treat. Usability is assessed by patient questionnaires and question sessions. Simple paired t-test is used to assess significant change in Asthma Control Test score, quality of life (EuroQol-5D questionnaire) and lung function. ETHICS AND DISSEMINATION: No ethical or safety concerns pertain to the collection of these data. Results of this research are planned to be published as soon as available. TRIAL REGISTRATION NUMBER: NCT03103880.

Understanding clinicians' attitudes toward a mobile health strategy to childhood asthma management: A qualitative study.

OBJECTIVES: Mobile technology for childhood asthma can provide real-time data to enhance care. What real-time adherence information clinicians want, how they may use it, and if the data meet their clinical needs have not been fully explored. Our goal was to determine whether pediatric primary care and pulmonary clinicians believe if a sensor-based mobile intervention is useful in caring for patients with asthma. METHODS: We recruited participants from 3 urban, primary care and 1 pulmonary practice from July to September 2015 in Hartford, CT. Forty-one participated in four focus groups, which included a demonstration of the technology. Participants were probed with open-ended questions on the type, frequency, and format of inter-visit patient information they found useful. RESULTS: 41 participants (mean age 49 (±13.7) years) were board-certified clinicians (41% MDs and 20% mid-level practitioners), practiced medicine on an average of 19 (±14) years, were primarily white (59%) and women (78%). Clinicians wanted 1) adherence to prescribed inhaler therapy and 2) data on inhaler technique. Clinicians wanted it at the time of a scheduled clinic visit but also wanted inter-visit alerts for excessive use of rescue therapy. Pulmonologists liked the mobile spirometer's provision of inter-visit lung function data; pediatricians did not share this view. Concerns with data accuracy were raised due to families who shared inhalers, access to smartphones, and protection of health information. CONCLUSIONS: Overall, clinicians view an asthma mobile health technology as enhancing the patient-centered medical home. Pediatric primary care clinicians and pulmonologists want different information from a mobile app.

Feasibility of a novel mHealth management system to capture and improve medication adherence among adolescents with asthma.

PURPOSE: Currently, 7.1 million children in the United States have asthma. Nonadherence to daily controller asthma medication is common, leading to more severe symptoms, overuse of rescue medication, and increased hospitalizations. The purpose of this study was to develop and evaluate the feasibility and acceptability of a novel mHealth management system composed of a sensored device, which is connected to mobile phone app that is designed to monitor and improve asthma medication adherence. PATIENTS AND METHODS: The asthma management system was designed using well-established behavioral theory. Seven adolescents aged 11-18 years were enrolled and given an adherence sensor, and four of those also received a mobile phone app with game features and reminders. Five patients completed the study, and one was lost to follow-up in each group. Mobile app users and their parents participated in focus groups to assess patient preferences. Feasibility was assessed by the ability of sensors to capture real-time medication data. Acceptability was assessed by patient questionnaire and focus group analysis. RESULTS: Successful upload of real-time data from six of seven inhaler sensors to the HIPAA-compliant server demonstrates the feasibility of at-home patient monitoring using the sensor device. All three mobile app users who completed the study reported interest in continued use of the management system and would recommend the app to friends. Unstructured interviews and focus groups revealed that patients felt that the intervention helped their sense of asthma control. CONCLUSION: This study demonstrates the feasibility of using the sensor device to remotely monitor real-time medication usage, and user feedback demonstrates the acceptability of the intervention for patient use. The findings provide guidance for the improvement of study design and technology development. Further research is needed to assess the efficacy of the intervention.

Emergence of Hemagglutinin Mutations During the Course of Influenza Infection.

Influenza remains a significant cause of disease mortality. The ongoing threat of influenza infection is partly attributable to the emergence of new mutations in the influenza genome. Among the influenza viral gene products, the hemagglutinin (HA) glycoprotein plays a critical role in influenza pathogenesis, is the target for vaccines and accumulates new mutations that may alter the efficacy of immunization. To study the emergence of HA mutations during the course of infection, we employed a deep-targeted sequencing method. We used samples from 17 patients with active H1N1 or H3N2 influenza infections. These patients were not treated with antivirals. In addition, we had samples from five patients who were analyzed longitudinally. Thus, we determined the quantitative changes in the fractional representation of HA mutations during the course of infection. Across individuals in the study, a series of novel HA mutations directly altered the HA coding sequence were identified. Serial viral sampling revealed HA mutations that either were stable, expanded or were reduced in representation during the course of the infection. Overall, we demonstrated the emergence of unique mutations specific to an infected individual and temporal genetic variation during infection.

RVD: a command-line program for ultrasensitive rare single nucleotide variant detection using targeted next-generation DNA resequencing.

BACKGROUND: Rare single nucleotide variants play an important role in genetic diversity and heterogeneity of specific human disease. For example, an individual clinical sample can harbor rare mutations at minor frequencies. Genetic diversity within an individual clinical sample is oftentimes reflected in rare mutations. Therefore, detecting rare variants prior to treatment may prove to be a useful predictor for therapeutic response. Current rare variant detection algorithms using next generation DNA sequencing are limited by inherent sequencing error rate and platform availability. FINDINGS: Here we describe an optimized implementation of a rare variant detection algorithm called RVD for use in targeted gene resequencing. RVD is available both as a command-line program and for use in MATLAB and estimates context-specific error using a beta-binomial model to call variants with minor allele frequency (MAF) as low as 0.1%. We show that RVD accepts standard BAM formatted sequence files. We tested RVD analysis on multiple Illumina sequencing platforms, among the most widely used DNA sequencing platforms. CONCLUSIONS: RVD meets a growing need for highly sensitive and specific tools for variant detection. To demonstrate the usefulness of RVD, we carried out a thorough analysis of the software's performance on synthetic and clinical virus samples sequenced on both an Illumina GAIIx and a MiSeq. We expect RVD can improve understanding the genetics and treatment of common viral diseases including influenza. RVD is available at the following URL:http://dna-discovery.stanford.edu/software/rvd/.

Longitudinal assessment of metabolic abnormalities in adolescents and young adults with HIV-infection acquired perinatally or in early childhood.

Metabolic complications of HIV pose challenges for health maintenance among young adults who acquired HIV in early childhood. Between July 2004 and July 2009, we evaluated 47 HIV-infected subjects who acquired HIV in early life. Participants completed glucose tolerance testing; insulin, lipid, urine albumin, and creatinine determinations; and dual-energy x-ray absorptiometry scans. Longitudinal data were available for 39 subjects; duration of follow-up was 26.4 ± 16.8 months. At baseline, participants were 17.1 ± 3.9 years old; and duration of antiretroviral therapy was 12.7 ± 3.4 years. CD4 count was 658 ± 374 cells per cubic millimeter, and 55% had undetectable viral load. Impaired glucose tolerance was present in 15%; 33% had insulin resistance (homeostasis model assessment of insulin resistance >4.0). Furthermore, 52% had triglycerides of at least 150 mg/dL, 36% had high-density lipoprotein cholesterol less than 40 mg/dL, 18% had low-density lipoprotein cholesterol of at least 130 mg/dL, and 25% had total cholesterol of at least 200 mg/dL. Microalbuminuria was present in 15% of participants and was inversely correlated with CD4% (P = .001). During follow-up, more than one third remained insulin resistant; lipid parameters tended to improve. There were significant increases in body mass index (P = .0002), percentage leg fat (P = .008), and percentage trunk fat (P = .002). Impaired glucose tolerance, insulin resistance, dyslipidemia, and microalbuminuria are common among young adults with HIV. Long-term exposure to therapy may translate into substantial persistent metabolic risk.