Literature Collection

BACKGROUND: Children with medical complexity (CMC) are children who have a range of chronic physical, developmental, and behavioral conditions. CMC is a vulnerable population that requires special care and receives support from multidisciplinary teams. The COVID-19 pandemic reshaped healthcare practices, with long-term consequences. CMC was particularly impacted, encountering medical, behavioral, and social challenges due to disruptions in care and pandemic-related restrictions. This qualitative study aims to understand the impact of the COVID-19 pandemic on the CMC care journey from a healthcare provider's perspective. Understanding COVID-19 challenges will help refine healthcare strategies, improve patient safety, and ensure CMC care meets their unique needs. METHODS: In this qualitative study, we captured views from various providers who cared for CMC during the pandemic. We conducted semi-structured interviews between May 2023 and December 2023. In total, we had 24 healthcare providers participate in the study, including 4 Hospitalists, 13 Specialists, 2 Outpatient Pediatricians, and 5 Home Nurses. Interviews were audio recorded to ensure accuracy in transcription and analysis. We used an inductive thematic analysis with a codebook approach for our coding process. RESULTS: As a result of inductive thematic analysis, ten primary themes emerged from the data related to CMC care challenges during the COVID-19 pandemic from the healthcare providers' perspective. Each theme consists of a set of subthemes. Themes are clustered into three main categories: (1) Access and Continuity of Care, (2) Families, Staff, and Collaborative Care, and (3) Infection Risk and Prevention Strategies. CONCLUSIONS: This study highlights the challenges of caring for CMC during the COVID-19 pandemic, focusing on system vulnerabilities and the resilience of healthcare providers and families. It shows the need for family-centered care, better telehealth integration, and comprehensive support for providers.

Wyoming was awarded a Center for Medicare and Medicaid Services (CMS) Children’s Health Insurance Program Reauthorization Act of 2009 (CHIPRA) Demonstration Grant! Maryland, Georgia and Wyoming submitted a joint application to implement and/or expand a Care Management Entity (CME) provider model using High Fidelity Wraparound and Intensive Care Coordination. Wyoming seeks to improve clinical, functional, and cost outcomes, access to home and community-based services, and youth and family resiliency of Medicaid children and youth with serious behavioral health challenges and historically high costs or at risk of high cost through implementation of a CME pilot in the Southeastern Region of Wyoming.

CONTEXT: Exploratory buprenorphine ingestions in young children have been associated with clinically significant toxicity. However, detailed data on the clinical presentation and management of these patients are lacking. In an attempt to obtain more comprehensive data, we sought to examine a single center cohort of patients with report of buprenorphine exposure and provide descriptive analysis of rates of respiratory depression, time to respiratory depression, interventions, disposition, and outcomes. STUDY DESIGN: We performed a retrospective cohort study at a single pediatric tertiary care center of children between the age of 6 months and 7 years of age hospitalized between 1 January 2006 and 1 September 2014 with report of buprenorphine or buprenorphine/naloxone exposure. Patients with possible exposure to more than one agent were excluded. We extracted clinical findings, including time to respiratory depression, interventions, and disposition from the medical record. RESULTS: Eighty-eight patients met the inclusion criteria. Seven patients were excluded. The median age was 24 months [IQR 18-30]. 20 patients (23%) received activated charcoal while 48 (55%) were treated with naloxone. 36 (41%) patients were admitted to the ICU. Observed clinical effects included respiratory depression (83%), oxygen saturation by pulse oximetry (SpO2) < 93% (28%), depressed mental status (80%), miosis (77%), and emesis (45%). Median time from exposure to respiratory depression was 263 min [IQR 105-486]. The median hospital length of stay was 22 h [IQR 20-26] and was positively associated with estimated exposure dose (p = 0.002). CONCLUSION: Pediatric patients exposed to buprenorphine are likely to exhibit signs and symptoms of opioid toxicity, including respiratory depression, altered mental status and miosis. Although the majority of patients developed signs of clinical toxicity within 8 h of reported exposure, the optimum duration of monitoring remains unclear.

OBJECTIVE: The objective of this Clinical Update is to review the principles, structures, processes, and outcomes of collaborative mental health care in the pediatric primary care setting. METHOD: A search of the literature on this topic from 2001was conducted initially in 2016, yielding 2,279 English-language citations. These citations were supplemented by references suggested by topic experts and identified through Web searches, increasing the yield to 2,467 total citations, of which 1,962 were unduplicated. After sequential review by Update authors at title/abstract and then full-text levels, the citations were winnowed to 219 based on topic relevance. A follow-up search from 2016 was conducted in 2021, yielding 2 additional citations based on nonduplication from initial search and topic relevance. RESULTS: The collaborative care approach, arising in the 1990s and gaining momentum in the 2000s, aims to extend behavioral health care to the primary care setting. The goal of collaborative care is to conserve the sparse specialty care workforce for severe and complex psychiatric disorders through shifting certain specialty mental health tasks (eg, assessment; patient self-management; brief psychosocial intervention; basic psychopharmacology; care coordination) to primary care. Collaborative care can be delivered on a spectrum ranging from coordinated to co-located to integrated care. Although each of these models has some empirical support, integrated care-a multidisciplinary team-based approach-has the strongest evidence base in improving clinical outcomes and patient satisfaction while constraining costs. Challenges to integrated care implementation include insufficient mental health education and insufficient specialist consultative and care coordination support for primary care practitioners; space, time, and reimbursement constraints in the primary care setting; discomfort among primary care practitioners in assuming mental health tasks previously undertaken by specialists; and continuing need for and unavailability of ongoing specialty mental health care for severe and complex cases. Essential supporting activities for effective collaborative care include patient and family engagement, professional education and training, evaluation/demonstration of impact, fiscal sustainability, and advocacy for model dissemination. CONCLUSION: Health professionals who are educated in the collaborative care approach can improve access to and quality of behavioral health care for children and adolescents with behavioral health needs.

INTRODUCTION: Cannabis use among adolescents is prevalent, and clinicians who work with adolescents have unique insights about how to treat cannabis use in this population. METHODS: This qualitative study interviewed 32 clinicians from addiction medicine recovery services (AMRS), the emergency department (ED), mental health (MH), and pediatrics in an integrated healthcare system to understand their perspectives and experiences regarding barriers and facilitators to treating adolescent cannabis use. The analysis was developed using thematic analysis of interviews. RESULTS: Thirty-two clinicians (Mean age = 45.9, SD =7.6; 56.3 % Female; 56.3 % White) were recruited from AMRS (n = 13; 41.6 %), the ED (n = 7; 21.9 %), MH (n = 7; 21.9 %) and pediatrics (n = 5; 15.6 %). Clinicians discussed several key barriers and facilitators of treating adolescent cannabis use. Facilitators include the use of multiple screening tools for adolescent cannabis use (i.e., self-report and toxicology testing) which provide more comprehensive information; patient-centered treatment approaches; and discussing cannabis use in the context of adolescents' mental health. Barriers discussed included adolescents' and parents' minimization of adolescent cannabis use risks. Several factors were discussed as potential facilitators or barriers, depending on context, including the influence of peers, virtual treatment, and parental involvement or lack thereof in treatment. CONCLUSIONS: Interviews with clinicians who work with adolescents across settings highlighted factors that serve as barriers and facilitators to treating adolescent cannabis use. These findings have important implications for guiding future research and intervention efforts, including the inclusion of universal screening practices, addressing stigma, reducing adolescents' and parents' minimization of cannabis use-related harms, and improving adolescent and parent engagement in treatment.

OBJECTIVE: The authors aim to measure differences in primary care clinicians' (PCC's) perceptions of managing pediatric mental health before and after launch of a child psychiatry access program (the access program) and identify the impact of engaging trainees from child psychiatry, pediatrics, and family medicine in administration and use of this program. METHODS: Child psychiatry fellows provide coverage of a grant-funded state-wide access program and engage trainee-peers in learning how to use the program. A survey measuring PCC's experience managing children's mental health conditions was administered before and after the child psychiatry access program launched. Rotation evaluations collect trainee's feedback. RESULTS: Statistically significant differences are identified before and after the program's launch in PCC's perception of access to child psychiatry (U = 294.5, p < 0.001) and between PCC's perceptions of the impact of behavioral health problems in their patients in those with less than 4 years post-residency training compared with those with 4 or more years post-residency (U = 524.5, p < .01). Trainee evaluation of the rotation is consistently positive (average 5:6 rating). CONCLUSION: The authors conclude that (1) the presence of a state-wide access program positively impacts PCC's reported access to child psychiatry; (2) child psychiatry fellows rate the clinical rotation experience favorably; and (3) there appears to be an association between less time out of primary care residency training and perception of improved access to child psychiatry and less clinical burden from behavioral health issues. Further research is required to understand the impact of a training in this model.

In years past, an adolescent patient presenting to primary care with symptoms of opioid use disorder (OUD) would have been a highly rare event in most communities. With OUD and fatal overdoses rising among adolescents and young adults (termed youth) over the past 15 years, this scenario has unfortunately become more common. Fatal drug overdoses increased 3.5-fold for youth aged 15 to 24 years from 1999 to 2014.1 Amidst this epidemic, relatively little is known about how primary care clinicians treat youth with OUD. Of particular interest is whether youth receive medication-assisted treatments (MATs), which have been shown to improve quality of life and reduce overdose risk.2

BACKGROUND: Mental, emotional, and behavioral disorders are chronic pediatric conditions, and their prevalence has been on the rise over recent decades. Affected children have long-term health sequelae and a decline in health-related quality of life. Due to the lack of a validated database for pharmacoepidemiological research on selected mental, emotional, and behavioral disorders, there is uncertainty in their reported prevalence in the literature. OBJECTIVES: We aimed to evaluate the accuracy of coding related to pediatric mental, emotional, and behavioral disorders in a large integrated health care system's electronic health records (EHRs) and compare the coding quality before and after the implementation of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding as well as before and after the COVID-19 pandemic. METHODS: Medical records of 1200 member children aged 2-17 years with at least 1 clinical visit before the COVID-19 pandemic (January 1, 2012, to December 31, 2014, the ICD-9-CM coding period; and January 1, 2017, to December 31, 2019, the ICD-10-CM coding period) and after the COVID-19 pandemic (January 1, 2021, to December 31, 2022) were selected with stratified random sampling from EHRs for chart review. Two trained research associates reviewed the EHRs for all potential cases of autism spectrum disorder (ASD), attention-deficit hyperactivity disorder (ADHD), major depression disorder (MDD), anxiety disorder (AD), and disruptive behavior disorders (DBD) in children during the study period. Children were considered cases only if there was a mention of any one of the conditions (yes for diagnosis) in the electronic chart during the corresponding time period. The validity of diagnosis codes was evaluated by directly comparing them with the gold standard of chart abstraction using sensitivity, specificity, positive predictive value, negative predictive value, the summary statistics of the F-score, and Youden J statistic. κ statistic for interrater reliability among the 2 abstractors was calculated. RESULTS: The overall agreement between the identification of mental, behavioral, and emotional conditions using diagnosis codes compared to medical record abstraction was strong and similar across the ICD-9-CM and ICD-10-CM coding periods as well as during the prepandemic and pandemic time periods. The performance of AD coding, while strong, was relatively lower compared to the other conditions. The weighted sensitivity, specificity, positive predictive value, and negative predictive value for each of the 5 conditions were as follows: 100%, 100%, 99.2%, and 100%, respectively, for ASD; 100%, 99.9%, 99.2%, and 100%, respectively, for ADHD; 100%, 100%, 100%, and 100%, respectively for DBD; 87.7%, 100%, 100%, and 99.2%, respectively, for AD; and 100%, 100%, 99.2%, and 100%, respectively, for MDD. The F-score and Youden J statistic ranged between 87.7% and 100%. The overall agreement between abstractors was almost perfect (κ=95%). CONCLUSIONS: Diagnostic codes are quite reliable for identifying selected childhood mental, behavioral, and emotional conditions. The findings remained similar during the pandemic and after the implementation of the ICD-10-CM coding in the EHR system.