Mental Health Care Following Firearm and Motor Vehicle-related Injuries: Differences Impacting Our Treatment Strategies.

OBJECTIVE: To compare new mental health diagnoses (NMHD) in children after a firearm injury versus following a motor vehicle collision (MVC). BACKGROUND: A knowledge gap exists regarding childhood mental health diagnoses following firearm injuries, notably in comparison to other forms of traumatic injury. METHODS: We utilized Medicaid MarketScan claims (2010-2016) to conduct a matched case-control study of children ages 3 to 17 years. Children with firearm injuries were matched with up to 3 children with MVC injuries. Severity was determined by injury severity score and emergency department disposition. We used multivariable logistic regression to measure the association of acquiring a NMHD diagnosis in the year postinjury after firearm and MVC mechanisms. RESULTS: We matched 1450 children with firearm injuries to 3691 children with MVC injuries. Compared to MVC injuries, children with firearm injuries were more likely to be black, have higher injury severity score, and receive hospital admission from the emergency department ( P <0.001). The adjusted odds ratio (aOR) of NMHD diagnosis was 1.55 [95% confidence interval (95% CI): 1.33-1.80] greater after firearm injuries compared to MVC injuries. The odds of a NMHD were higher among children admitted to the hospital compared to those discharged. The increased odds of NMHD after firearm injuries was driven by increases in substance-related and addictive disorders (aOR: 2.08; 95% CI: 1.63-2.64) and trauma and stressor-related disorders (aOR: 2.07; 95% CI: 1.55-2.76). CONCLUSIONS: Children were found to have 50% increased odds of having a NMHD in the year following a firearm injury as compared to MVC. Programmatic interventions are needed to address children's mental health following firearm injuries.

Overview of Ten Child Mental Health Clinical Outcome Measures: Testing of Psychometric Properties with Diverse Client Populations in the U.S.

While many standardized assessment measures exist to track child mental health treatment outcomes, the degree to which such tools have been adequately tested for reliability and validity across race, ethnicity, and class is uneven. This paper examines the corpus of published tests of psychometric properties for the ten standardized measures used in U.S. child outpatient care, with focus on breadth of testing across these domains. Our goal is to assist care providers, researchers, and legislators in understanding how cultural mismatch impacts measurement accuracy and how to select tools appropriate to the characteristics of their client populations. We also highlight avenues of needed research for measures that are in common use. The list of measures was compiled from (1) U.S. state Department of Mental Health websites; (2) a survey of California county behavioral health agency directors; and (3) exploratory literature scans of published research. Ten measures met inclusion criteria; for each one a systematic review of psychometrics literature was conducted. Diversity of participant research samples was examined as well as differences in reliability and validity by gender, race or ethnicity, and socio-economic class. All measures showed adequate reliability and validity, however half lacked diverse testing across all three domains and all lacked testing with Asian American/Pacific Islander and Native American children. ASEBA, PSC, and SDQ had the broadest testing.

The Impact of Attachment-Disrupting Adverse Childhood Experiences on Child Behavioral Health.

OBJECTIVES: To describe patterns of overall, within-household, and community adverse childhood experiences (ACEs) among children in vulnerable neighborhoods and to identify which individual ACEs, over and above overall ACE level, predict need for behavioral health services. STUDY DESIGN: This was a cross-sectional study that used a sample of 257 children ages 3-16 years who were seeking primary care services with co-located mental healthcare services at 1 of 2 clinics in Chicago, Illinois. The outcome variable was need for behavioral health services (Pediatric Symptom Checklist score ≥28). The independent variables were ACEs, measured with an adapted, 28-item version of the Traumatic Events Screening Inventory. RESULTS: Six ACE items were individually predictive of a clinical-range Pediatric Symptom Checklist score after adjusting for sociodemographic covariates: emotional abuse or neglect (OR 2.93, 95% CI 1.32-6.52, P < .01), natural disaster (OR 3.89, 95% CI 1.18-12.76, P = .02), forced separation from a parent or caregiver (OR 2.95, 95% CI 1.50-5.83, P < .01), incarceration of a family member (OR 2.43, 95% CI 1.20-4.93, P = .01), physical attack (OR 2.84, 95% CI 1.32-6.11, P < .01), and community violence (OR 2.35, 95% CI 1.18-4.65, P = .01). After adjusting for overall ACE level, only 1 item remained statistically significant: forced separation from a parent or caregiver (OR 2.44, 95% CI 1.19-5.01, P = .02). CONCLUSIONS: ACEs that disrupt attachment relationships between children and their caregivers are a significant predictor of risk for child emotional or behavioral problems.

National Child Mental Health Quality Measures: Adherence Rates and Extent of Evidence for Clinical Validity.

PURPOSE OF REVIEW: To provide an overview of the selection process and annual updates of the child mental health measures within the Child Core Set, describe national and statewide adherence rates, and summarize findings from a systematic literature review examining measure adherence rates and whether adherence is associated with improved clinical outcomes. RECENT FINDINGS: Five national quality measures target child mental health care processes. On average, national adherence varied widely by state, and performance did not substantially improve during the past 5 years. Mean national adherence rates for the two measures related to timeliness of care were below 50%. For each measure, scientific evidence to support the association between adherence and improved clinical outcomes was scarce. Investment in academic-agency partnered research to standardize methods for publicly reporting adherence to national child mental health quality measures and validation of these measures should be a national priority for child healthcare research.

Community Interventions to Promote Mental Health and Social Equity.

PURPOSE OF REVIEW: We review recent community interventions to promote mental health and social equity. We define community interventions as those that involve multi-sector partnerships, emphasize community members as integral to the intervention, and/or deliver services in community settings. We examine literature in seven topic areas: collaborative care, early psychosis, school-based interventions, homelessness, criminal justice, global mental health, and mental health promotion/prevention. We adapt the social-ecological model for health promotion and provide a framework for understanding the actions of community interventions. RECENT FINDINGS: There are recent examples of effective interventions in each topic area. The majority of interventions focus on individual, family/interpersonal, and program/institutional social-ecological levels, with few intervening on whole communities or involving multiple non-healthcare sectors. Findings from many studies reinforce the interplay among mental health, interpersonal relationships, and social determinants of health. There is evidence for the effectiveness of community interventions for improving mental health and some social outcomes across social-ecological levels. Studies indicate the importance of ongoing resources and training to maintain long-term outcomes, explicit attention to ethics and processes to foster equitable partnerships, and policy reform to support sustainable healthcare-community collaborations.

Postacute Care after Pediatric Hospitalizations for a Primary Mental Health Condition.

OBJECTIVES: To determine the proportion of US children hospitalized for a primary mental health condition who are discharged to postacute care (PAC); whether PAC discharge is associated with demographic, clinical, and hospital characteristics; and whether PAC use varies by state. STUDY DESIGN: Retrospective cohort study of a nationally representative sample of US acute care hospitalizations for children ages 2-20 years with a primary mental health diagnosis, using the 2009 and 2012 Kids' Inpatient Databases. Discharge to PAC was used as a proxy for transfer to an inpatient mental health facility. We derived adjusted logistic regression models to assess the association of patient and hospital characteristics with discharge to PAC. RESULTS: In 2012, 14.7% of hospitalized children (n = 248 359) had a primary mental health diagnosis. Among these, 72% (n = 178 214) had bipolar disorder, depression, or psychosis, of whom 4.9% (n = 8696) were discharged to PAC. The strongest predictors of PAC discharge were homicidal ideation (aOR, 24.9; 96% CI, 4.1-150.4), suicide and self-injury (aOR, 15.1; 95% CI, 11.7-19.4), and substance abuse-related medical illness (aOR, 5.0; 95% CI, 4.5-5.6). PAC use varied widely by state, ranging from 2.2% to 36.3%. CONCLUSIONS: The majority of children hospitalized primarily for a mood disorder or psychosis were not discharged to PAC, and safety-related conditions were the primary drivers of the relatively few PAC discharges. There was substantial state-to-state variation. Target areas for quality improvement include improving access to PAC for children hospitalized for mood disorders or psychosis and equitable allocation of appropriate PAC resources across states.

Development and Evaluation of Two Integrated Care Models for Children Using a Partnered Formative Evaluation Approach.

Objective: To describe the development and evaluation of two integrated care models using a partnered formative evaluation approach across a private foundation, clinic leaders, providers and staff, and a university-based research center. Design: Retrospective cohort study using multiple data sources. Setting: Two federal qualified health care centers serving low-income children and families in Chicago. Participants: Private foundation, clinic and academic partners. Interventions: Development of two integrated care models and partnered evaluation design. Main Outcome Measures: Accomplishments and early lessons learned. Results: Together, the foundation-clinic-academic partners worked to include best practices in two integrated care models for children while developing the evaluation design. A shared data collection approach, which empowered the clinic partners to collect data using a web-based tool for a prospective longitudinal cohort study, was also created. Conclusion: Across three formative evaluation stages, the foundation, clinic, and academic partners continued to reach beyond their respective traditional roles of project oversight, clinical service, and research as adjustments were collectively made to accommodate barriers and unanticipated events. Together, an innovative shared data collection approach was developed that extends partnered research to include data collection being led by the clinic partners and supported by the technical resources of a university-based research center.

Development of a Telehealth-Coordinated Intervention to Improve Access to Community-Based Mental Health.

Objective: To develop an intervention to improve the mental health referral and care process for children referred by primary care providers (PCPs) to community mental health clinics (MHCs) using a community partnered approach. Design: A Project Working Group (PWG) with representatives from each partner organization met monthly for 6 months. Setting: Multi-site federally qualified health center (FQHC) and two community MHCs in Los Angeles county. Participants: 26 stakeholders (14 FQHC clinic providers/staff, 8 MHC providers/staff, 4 parents) comprised the PWG. Data Sources: Qualitative interviews, PWG meeting notes, intervention processes and workflow reports. Intervention: The PWG reviewed qualitative data from stakeholders (interviews of 7 parents and 13 providers/staff). The PWG met monthly to identify key transition points where access to and coordination of care were likely compromised and to develop solutions. Results: Three critical transition points and system solutions were identified: 1) Parents refuse initial referral to the MHC due to stigma regarding mental health services. Solution: During initial referral, parents watch a video introducing them to the MHC. 2) Parents don't complete the MHC's screening after referral. Solution: A live videoconference session connecting parents at the FQHC with MHC staff ensures completion of the screening and eligibility process. 3) PCPs reject transfer of patients back to primary care for ongoing psychotropic medication management. Solution: Regularly scheduled live videoconferences connect PCPs and MHC providers. Conclusions: A community partnered approach to care design utilizing telehealth for care coordination between clinics can potentially be used to address key challenges in MHC access for children.

MAP as a model for practice-based learning and improvement in child psychiatry training.

Not only is there a growing literature demonstrating the positive outcomes that result from implementing evidence based treatments (EBTs) but also studies that suggest a lack of delivery of these EBTs in "usual care" practices. One way to address this deficit is to improve the quality of psychotherapy teaching for clinicians-in-training. The Accreditation Council for Graduate Medical Education (ACGME) requires all training programs to assess residents in a number of competencies including Practice-Based Learning and Improvements (PBLI). This article describes the piloting of Managing and Adapting Practice (MAP) for child psychiatry fellows, to teach them both EBT and PBLI skills. Eight child psychiatry trainees received 5 full days of MAP training and are delivering MAP in a year-long outpatient teaching clinic. In this setting, MAP is applied to the complex, multiply diagnosed psychiatric patients that present to this clinic. This article describes how MAP tools and resources assist in teaching trainees each of the eight required competency components of PBLI, including identifying deficits in expertise, setting learning goals, performing learning activities, conducting quality improvement methods in practice, incorporating formative feedback, using scientific studies to inform practice, using technology for learning, and participating in patient education. A case example illustrates the use of MAP in teaching PBLI. MAP provides a unique way to teach important quality improvement and practice-based learning skills to trainees while training them in important psychotherapy competence.

Identifying Precise Targets to Improve Child Mental Health Care Equity: Leveraging Advances in Clinical Research Informatics and Lived Experience.

To reduce child mental health disparities, it is imperative to improve the precision of targets and to expand our vision of social determinants of health as modifiable. Advancements in clinical research informatics and please state accurate measurement of child mental health service use and quality. Participatory action research promotes representation of underserved groups in informatics research and practice and may improve the effectiveness of interventions by informing research across all stages, including the identification of key variables, risk and protective factors, and data interpretation.

Youth Suicide and Preceding Mental Health Diagnosis.

Importance: Suicide is a leading cause of death among US youths, and mental health disorders are a known factor associated with increased suicide risk. Knowledge about potential sociodemographic differences in documented mental health diagnoses may guide prevention efforts. Objective: To examine the association of documented mental health diagnosis with (1) sociodemographic and clinical characteristics, (2) precipitating circumstances, and (3) mechanism among youth suicide decedents. Design, Setting, and Participants: This retrospective, cross-sectional study of youth suicide decedents aged 10 to 24 years used data from the Centers for Disease Control and Prevention National Violent Death Reporting System from 2010 to 2021. Data analysis was conducted from January to November 2023. Exposures: Sociodemographic characteristics, clinical characteristics, precipitating circumstances, and suicide mechanism. Main Outcomes and Measures: The primary outcome was previously documented presence of a mental health diagnosis. Associations were evaluated by multivariable logistic regression. Results: Among 40 618 youth suicide decedents (23 602 aged 20 to 24 years [58.1%]; 32 167 male [79.2%]; 1190 American Indian or Alaska Native [2.9%]; 1680 Asian, Native Hawaiian, or Other Pacific Islander [4.2%]; 5118 Black [12.7%]; 5334 Hispanic [13.2%]; 35 034 non-Hispanic; 30 756 White [76.1%]), 16 426 (40.4%) had a documented mental health diagnosis and 19 027 (46.8%) died by firearms. The adjusted odds of having a mental health diagnosis were lower among youths who were American Indian or Alaska Native (adjusted odds ratio [aOR], 0.45; 95% CI, 0.39-0.51); Asian, Native Hawaiian, or Other Pacific Islander (aOR, 0.58; 95% CI, 0.52-0.64); and Black (aOR, 0.62; 95% CI, 0.58-0.66) compared with White youths; lower among Hispanic youths (aOR, 0.76; 95% CI, 0.72-0.82) compared with non-Hispanic youths; lower among youths aged 10 to 14 years (aOR, 0.70; 95% CI, 0.65-0.76) compared with youths aged 20 to 24 years; and higher for females (aOR, 1.64; 95% CI, 1.56-1.73) than males. A mental health diagnosis was documented for 6308 of 19 027 youths who died by firearms (33.2%); 1691 of 2743 youths who died by poisonings (61.6%); 7017 of 15 331 youths who died by hanging, strangulation, or suffocation (45.8%); and 1407 of 3181 youths who died by other mechanisms (44.2%). Compared with firearm suicides, the adjusted odds of having a documented mental health diagnosis were higher for suicides by poisoning (aOR, 1.70; 95% CI, 1.62-1.78); hanging, strangulation, and suffocation (aOR, 2.78; 95% CI, 2.55-3.03); and other mechanisms (aOR, 1.59; 95% CI, 1.47-1.72). Conclusions and Relevance: In this cross-sectional study, 3 of 5 youth suicide decedents did not have a documented preceding mental health diagnosis; the odds of having a mental health diagnosis were lower among racially and ethnically minoritized youths than White youths and among firearm suicides compared with other mechanisms. These findings underscore the need for equitable identification of mental health needs and universal lethal means counseling as strategies to prevent youth suicide.

Editorial: Global Widening of the Inequitable Child and Adolescent Mental Health Care Chasm During COVID-19.

The long-standing and inequitable chasm between clinical need and child and adolescent mental health care has likely widened during the COVID-19 pandemic, especially for children and adolescents in developing low- and middle-income countries (LMICs). Internationally, the risk for suicidal behaviors among young people rose, while timely access to care worsened.1 People in LMICs are envisioned to be precariously positioned within a perfect storm characterized by greater exposure to life-threatening COVID-19-related social determinants of health that also pose higher risk of new and recurrent mental disorders.2 In this issue of the Journal, the study by Wong et al.3 is the first international study to report a substantial rise in emergency department (ED) visits for any psychiatric disorder and self-harm among children and adolescents after the onset of the COVID-19 pandemic. Using a retrospective cohort study design, ED visits for any psychiatric disorder and self-harm were compared between March-April of 2019 (prepandemic), 2020 (early pandemic), and 2021 (later pandemic), with the most recent time interval corresponding to the "third wave of the pandemic worldwide." The total sample included 8,174 psychiatric ED visits to 62 emergency units in 25 countries, including developing countries with lower-middle, upper-middle, and high incomes as well as developed countries with upper-middle and high incomes. Of these, 3,865 psychiatric ED visits in 13 countries had data for all time intervals. Using the complete data, compared with March-April 2019, the rate of ED visits for any psychiatric disorder was lower in March-April 2020, consistent with the abrupt drop reported in the United States that broadly aligns with statewide school closures and shelter in place orders.4,5 However, when comparing early pandemic with later pandemic time intervals matched by months, the rates for any psychiatric and self-harm ED visits were twice as high. Despite the sharp drop following the onset of the pandemic, when compared with the prepandemic time interval, the overall rates of ED visits for any psychiatric diagnosis and self-harm during the later pandemic were 50% and 70% higher, respectively. Girls were also at greater risk for self-harm ED visits following the onset of the COVID-19 pandemic. Compared with the prepandemic time interval matched by months, girls had almost twice the odds of a self-harm ED visit in March-April 2021. The international rise in self-harm ED visits likely driven by the increases among girls is also consistent with prior US studies.4,5.

Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches.

BACKGROUND: Although suicide is a leading cause of death among children, the optimal approach for using health care data sets to detect suicide-related emergencies among children is not known. OBJECTIVE: This study aimed to assess the performance of suicide-related International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and suicide-related chief complaint in detecting self-injurious thoughts and behaviors (SITB) among children compared with clinician chart review. The study also aimed to examine variations in performance by child sociodemographics and type of self-injury, as well as develop machine learning models trained on codified health record data (features) and clinician chart review (gold standard) and test model detection performance. METHODS: A gold standard classification of suicide-related emergencies was determined through clinician manual review of clinical notes from 600 emergency department visits between 2015 and 2019 by children aged 10 to 17 years. Visits classified with nonfatal suicide attempt or intentional self-harm using the Centers for Disease Control and Prevention surveillance case definition list of ICD-10-CM codes and suicide-related chief complaint were compared with the gold standard classification. Machine learning classifiers (least absolute shrinkage and selection operator-penalized logistic regression and random forest) were then trained and tested using codified health record data (eg, child sociodemographics, medications, disposition, and laboratory testing) and the gold standard classification. The accuracy, sensitivity, and specificity of each detection approach and relative importance of features were examined. RESULTS: SITB accounted for 47.3% (284/600) of the visits. Suicide-related diagnostic codes missed nearly one-third (82/284, 28.9%) and suicide-related chief complaints missed more than half (153/284, 53.9%) of the children presenting to emergency departments with SITB. Sensitivity was significantly lower for male children than for female children (0.69, 95% CI 0.61-0.77 vs 0.84, 95% CI 0.78-0.90, respectively) and for preteens compared with adolescents (0.66, 95% CI 0.54-0.78 vs 0.86, 95% CI 0.80-0.92, respectively). Specificity was significantly lower for detecting preparatory acts (0.68, 95% CI 0.64-0.72) and attempts (0.67, 95% CI 0.63-0.71) than for detecting ideation (0.79, 95% CI 0.75-0.82). Machine learning-based models significantly improved the sensitivity of detection compared with suicide-related codes and chief complaint alone. Models considering all 84 features performed similarly to models considering only mental health-related ICD-10-CM codes and chief complaints (34 features) and models considering non-ICD-10-CM code indicators and mental health-related chief complaints (53 features). CONCLUSIONS: The capacity to detect children with SITB may be strengthened by applying a machine learning-based approach to codified health record data. To improve integration between clinical research informatics and child mental health care, future research is needed to evaluate the potential benefits of implementing detection approaches at the point of care and identifying precise targets for suicide prevention interventions in children.

Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth.

Objective: Geography may influence the relationships of predictors for suicidal ideation (SI) and suicide attempts (SA) in children and youth. Method: This is a nationwide retrospective cohort study of 124,424 individuals less than 25 years of age using commercial claims data (2011-2015) from the Health Care Cost Institute. Outcomes were time to SI or SA within 3 months after the indexed mental health or substance use disorder (MH/SUD) outpatient visit. Predictors included sociodemographic and clinical characteristics up to 3 years before the index event. Results: At each follow-up time period, rates of SI and SA varied by the US geographic division (p < .001), and the Mountain Division consistently had the highest rates for both SI and SA (5.44%-10.26% for SI; 0.70%-2.82% for SA). Having MH emergency department (ED) visits in the past year increased the risk of SI by 28% to 65% for individuals residing in the New England, Mid-Atlantic, East North Central, West North Central, and East South Central Divisions. The main effects of geographic divisions were significant for SA (p<0.001). Risk of SA was lower in New England, Mid-Atlantic, South Atlantic, and Pacific (hazard ratios = 0.57, 0.51, 0.67, and 0.79, respectively) and higher in the Mountain Division (hazard ratio = 1.46). Conclusion: To understand the underlying mechanisms driving the high prevalence of SI and SA in the Mountain Division and the elevated risk of SI after having MH ED visits, future research examining regional differences in risks for SI and SA should include indicators of access to MH ED care and other social determinants of health.

Medications for Alcohol Use Disorder and Retention in Care in Medicaid-Enrolled Youth, 2014-2019.

PURPOSE: Alcohol use disorder (AUD) is a pediatric-onset condition needing timely, effective treatment. Medications for AUD are part of nationally recommended treatments for youth. This study measured receipt of medications and behavioral health services for AUD and subsequent retention in care. METHODS: This retrospective cohort study used claims data from > 4.7 million publicly insured youth aged 13-22 years in 15 states from 2014-2019. Timely treatment was defined as receipt of medication (naltrexone, acamprosate, or disulfiram) and/or behavioral health services within 30 days of incident AUD diagnosis. Associations of age and other characteristics with timely treatment were identified using modified Poisson regression. Retention in care (i.e., no period ≥ 60 days without claims) was studied using Cox regression. RESULTS: Among 14,194 youth with AUD, 10,851 (76.4%) received timely treatment. Only 2.1% of youth received medication (alone or in combination); nearly all (97.9%) received behavioral health services only. Older (aged 16-17 years) and younger adolescents (aged 13-15 years) were 0.13 (95% confidence interval [CI], 0.07-0.26) and 0.24 (95% CI, 0.11-0.51) times as likely, respectively, to receive medications than young adults aged ≥ 21 years. Median retention in care for youth receiving medications was 119 days (interquartile range, 54-321) compared with 108 days (interquartile range, 43-243) for behavioral health services alone (p = .126). Young adults aged ≥ 18 years were 1.12 (95% CI, 1.06-1.18) times as likely to discontinue treatment compared with adolescents aged < 18 years. DISCUSSION: This study found that more than seven in 10 youth received AUD treatment but only two in 100 received medications. Future studies should further characterize the effectiveness of medications and determine whether low rates of receipt represent underuse.

Follow-up After Pediatric Mental Health Emergency Visits.

OBJECTIVES: To examine how outpatient mental health (MH) follow-up after a pediatric MH emergency department (ED) discharge varies by patient characteristics and to evaluate the association between timely follow-up and return encounters. METHODS: We conducted a retrospective study of 28 551 children aged 6 to 17 years with MH ED discharges from January 2018 to June 2019, using the IBM Watson MarketScan Medicaid database. Odds of nonemergent outpatient follow-up, adjusted for sociodemographic and clinical characteristics, were estimated using logistic regression. Cox proportional hazard models were used to evaluate the association between timely follow-up and risk of return MH acute care encounters (ED visits and hospitalizations). RESULTS: Following MH ED discharge, 31.2% and 55.8% of children had an outpatient MH visit within 7 and 30 days, respectively. The return rate was 26.5% within 6 months. Compared with children with no past-year outpatient MH visits, those with ≥14 past-year MH visits had 9.53 odds of accessing follow-up care within 30 days (95% confidence interval [CI], 8.75-10.38). Timely follow-up within 30 days was associated with a 26% decreased risk of return within 5 days of the index ED discharge (hazard ratio, 0.74; 95% CI, 0.63-0.91), followed by an increased risk of return thereafter. CONCLUSIONS: Connection to outpatient care within 7 and 30 days of a MH ED discharge remains poor, and children without prior MH outpatient care are at highest risk for poor access to care. Interventions to link to outpatient MH care should prioritize follow-up within 5 days of an MH ED discharge.

Timing of Mental Health Service Use After a Pediatric Firearm Injury.

OBJECTIVES: To examine how timing of the first outpatient mental health (MH) visit after a pediatric firearm injury varies by sociodemographic and clinical characteristics. METHODS: We retrospectively studied children aged 5 to 17 years with a nonfatal firearm injury from 2010 to 2018 using the IBM Watson MarketScan Medicaid database. Logistic regression estimated the odds of MH service use in the 6 months after injury, adjusted for sociodemographic and clinical characteristics. Cox proportional hazard models, stratified by previous MH service use, evaluated variation in timing of the first outpatient MH visit by sociodemographic and clinical characteristics. RESULTS: After a firearm injury, 958 of 2613 (36.7%) children used MH services within 6 months; of these, 378 of 958 (39.5%) had no previous MH service use. The adjusted odds of MH service use after injury were higher among children with previous MH service use (adjusted odds ratio, 10.41; 95% confidence interval [CI], 8.45-12.82) and among non-Hispanic white compared with non-Hispanic Black children (adjusted odds ratio, 1.29; 95% CI, 1.02-1.63). The first outpatient MH visit after injury occurred sooner among children with previous MH service use (adjusted hazard ratio, 6.32; 95% CI, 5.45-7.32). For children without previous MH service use, the first MH outpatient visit occurred sooner among children with an MH diagnosis made during the injury encounter (adjusted hazard ratio, 2.72; 95% CI, 2.04-3.65). CONCLUSIONS: More than 3 in 5 children do not receive MH services after firearm injury. Previous engagement with MH services and new detection of MH diagnoses during firearm injury encounters may facilitate timelier connection to MH services after injury.

Study Preregistration: Measuring What Matters: Development and Dissemination of a Core Outcome Set for Pediatric Anxiety Disorders Clinical Trials.

Pediatric anxiety disorders (AD) are prevalent disorders with an impact on all aspects of a child's life and functioning.1 Although evidence supports commonly used treatments, there are notable concerns with the research to date.2 Heterogeneity in outcome selection, measurement, analysis, and reporting is a contributing factor to the hinderance of the translation of research into clinical practice.3 Recognition for outcome standardization in pediatric mental health disorders is evolving and there are several initiatives of importance, including the International Consortium for Health Outcomes Measurement (ICHOM), which has developed standardized outcome sets for use in the routine clinical mental health treatment of children and adolescents.4 Similarly, the International Alliance of Mental Health Research Funders5 advocate for use of 1 specific outcome measurement instrument (OMI) in the youth mental health research that they fund. Development of a Core Outcome Set (COS), a minimal set of outcomes that should be measured and reported in clinical trials, has been a solution in other areas of medicine to address heterogeneity in outcome selection and measurement across trials.6 The Core Outcomes and Measures in Pediatric Anxiety Clinical Trials (COMPACT) Initiative will develop a harmonized, evidence- and consensus-based COS that is meaningful to youth and families for use in future trials in pediatric AD.

Mental Health-Related Emergency Department Visits Among Children During The Early COVID-19 Pandemic.

Objective: To measure univariate and covariate-adjusted trends in children's mental health-related emergency department (MH-ED) use across geographically diverse areas of the U.S. during the first wave of the Coronavirus-2019 (COVID-19) pandemic. Method: This is a retrospective, cross-sectional cohort study using electronic health records from four academic health systems, comparing percent volume change and adjusted risk of child MH-ED visits among children aged 3-17 years, matched on 36-week (3/18/19-11/25/19 vs. 3/16/20-11/22/20) and 12-week seasonal time intervals. Adjusted incidence rate ratios (IRR) were calculated using multivariate Poisson regression. Results: Visits declined during spring-fall 2020 (n = 3892 vs. n = 5228, -25.5%) and during spring (n = 1051 vs. n = 1839, -42.8%), summer (n = 1430 vs. n = 1469, -2.6%), and fall (n = 1411 vs. n = 1920, -26.5%), compared with 2019. There were greater declines among males (28.2% vs. females -22.9%), children 6-12-year (-28.6% vs. -25.9% for 3-5 years and -22.9% for 13-17 years), and Black children (-34.8% vs. -17.7% to -24.9%). Visits also declined for developmental disorders (-17.0%) and childhood-onset disorders (e.g., attention deficit and hyperactivity disorders; -18.0%). During summer-fall 2020, suicide-related visits rose (summer +29.8%, fall +20.4%), but were not significantly elevated from 2019 when controlling for demographic shifts. In contrast, MH-ED use during spring-fall 2020 was significantly reduced for intellectual disabilities (IRR 0.62 [95% CI 0.47-0.86]), developmental disorders (IRR 0.71 [0.54-0.92]), and childhood-onset disorders (IRR 0.74 [0.56-0.97]). Conclusions: The early pandemic brought overall declines in child MH-ED use alongside co-occurring demographic and diagnostic shifts. Children vulnerable to missed detection during instructional disruptions experienced disproportionate declines, suggesting need for future longitudinal research in this population.