Racial/ethnic differences in treatment quality among youth with primary care provider-initiated versus mental health specialist-initiated care for major depressive disorders.

OBJECTIVES: To compare the racial/ethnic differences in treatment quality among youth with primary care provider-initiated versus mental health specialist-initiated care for major depressive disorders (MDD). METHODS: A retrospective cohort study was conducted using the 2005-2007 Medicaid claims data from Texas. Youth aged 10-20 during the study period were identified if they had two consecutive MDD diagnoses and received either medications for MDD or psychotherapy. Patients who received ≥84 days of medications and/or ≥4 sessions of psychotherapy for MDD treatment during 4 months of follow-up were considered meeting the minimum adequacy of treatment. RESULTS: The generalized linear multilevel model (MLM) analysis revealed that both Hispanics and Blacks were approximately 30% less likely to receive adequate treatment (Hispanics - OR: 0.67; 95% CI: 0.6-0.8) (Blacks - OR: 0.66; 95% CI: 0.6-0.8) and Hispanic children were 50% more likely to undergo MH-related hospitalization (OR: 1.53; 95% CI: 1.1-2.2) compared to their White counterparts. The odds of meeting the minimum MDD treatment adequacy were comparable between pediatric MDD cases first identified by primary care providers (PCP-I) and psychiatrists (PSY-I) (PCP-I vs. PSY-I: OR: 0.97; 95% CI: 0.8-1.2), and slightly lower in those first identified by social workers/psychologists (SWP-I) as compared to PSY-I (SWP-I vs. PSY-I: OR: 0.81; 95% CI: 0.7-0.9). In all models, the interaction between race/ethnicity and type of provider who initiated MDD care was not statistically significant. CONCLUSIONS: Minority youths received less adequate MDD treatment compared to Whites. Hispanic children had the highest risk of having mental health-related hospitalization. The specialty of provider who initiated MDD care had limited impact on treatment quality and was not associated with the racial/ethnic variations in treatment completion and mental health-related hospitalizations.

Adherence to Recommended Metabolic Monitoring of Children and Adolescents Taking Second-Generation Antipsychotics.

OBJECTIVE: Clinical guidelines recommend periodic monitoring for adverse metabolic effects associated with second-generation antipsychotic medications. The authors sought to evaluate adherence to the guideline-recommended metabolic monitoring schedule for children and adolescents prescribed second-generation antipsychotics. METHODS: The authors used a national electronic medical records database for a retrospective study of children and adolescents ages 1-17 years (N=9,620) who were prescribed second-generation antipsychotics in January 2010-December 2018. Adherence to guideline-recommended monitoring of body mass index (BMI), blood glucose, and cholesterol was categorized as full, partial, and no monitoring. Full monitoring of patients was defined as strict metabolic monitoring, following the guideline-recommended schedule. Patients who received any monitoring, but not meeting the full monitoring criteria, were considered partially monitored. Three multinomial logistic regression models were fitted for each metabolic parameter to identify predictors associated with monitoring status. RESULTS: BMI was the metabolic parameter with the highest adherence to guideline-recommended monitoring (full monitoring, 4.7% of patients; partial monitoring, 44.8%), followed by blood glucose (full monitoring, 6.5%; partial monitoring, 29.4%) and cholesterol (full monitoring, 0.8%; partial monitoring, 22.4%). Being Black (vs. non-Black), having a comorbid mood disorder (vs. none), receiving olanzapine as the index second-generation antipsychotic (vs. aripiprazole), and receiving an antidepressant as a concurrent medication (vs. none) were associated with a higher likelihood of receiving both full and partial monitoring of all three metabolic parameters. CONCLUSIONS: Both full and partial adherence to guideline-recommended monitoring of children and adolescents prescribed second-generation antipsychotics were poor. However, children and adolescents at increased metabolic risk tended to be more closely monitored.

Metabolic Monitoring for Children and Adolescents Prescribed Second-Generation Antipsychotics: A Qualitative Study with Child Psychiatrists.

Introduction: Professional guidelines recommend that providers routinely monitor children prescribed second-generation antipsychotics (SGA) to reduce the risk of adverse metabolic events associated with the medication. Despite this guidance, many studies show low rates of monitoring compliance. In this study, we interviewed child psychiatrists for their views of possible barriers to monitoring. Methods: Semi-structured qualitative interviews, developed according to the Regehr model of influences upon patient-provider decision making, were conducted with child and adolescent psychiatrists in current practice and recruited by convenience and snowball sampling. Interviews were conducted through internet video meetings and were recorded. Interview data were analyzed following Framework Analysis qualitative methods. Results: We recruited and completed interviews with 17 psychiatrists. Patient-level barriers included travel difficulties, limited family time for health care appointments, patient fear of blood draws, and more. Provider-level barriers included professional judgment versus guideline guidance, perceived family burden, assumption of low-risk, short-term SGA use, and more. Organizational level barriers included lack of organizational mandates or incentives, limited appointment time per patient, lack of care coordination, lack of co-located labs, personnel turnover, and more. Barriers at the social and cultural level include stigma and low health literacy. Conclusion: These practicing prescribers provided a wide range of possible barriers to metabolic monitoring in children and adolescents prescribed SGAs. The next step is to explore which may be present in certain settings, and to pilot quality improvement interventions. Addressing barriers can reduce risk of metabolic disorders arising from long-term use of SGAs in children and adolescents.

Association Between Abnormal Metabolic Parameters and Receiving Subsequent Interventions in Children and Adolescents Initiating Second-Generation Antipsychotics.

Objectives: This study aimed to examine the association between abnormal readings of metabolic parameters detected during second-generation antipsychotic (SGA) treatment and the likelihood of receiving subsequent adverse drug event interventions. Methods: This was a nested case-control study conducted on patients 1-17 years of age with at least two prescriptions of SGAs between January 2010 and January 2019 using TriNetX EMR data. Following an incident density sampling procedure, patients who received the SGA metabolic adverse event intervention (mAEI) (case) were matched with three nonrecipients (controls). The abnormal readings of metabolic parameters within 30 days before the initiation of mAIEs were further identified. These metabolic parameters include body mass index (BMI) and laboratory parameters such as cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides, blood glucose, HbA1c, thyroid hormones, liver enzymes, and prolactin. The association of abnormal metabolic parameters with subsequent mAEIs was assessed using a conditional logistic regression model, after adjusting for demographic and other clinical risk factors. Results: One thousand eight hundred eighty-four children and adolescents met the inclusion criteria and were prescribed SGA mAEIs. The most common types of mAEIs prescribed were weight management pharmacotherapy (40.6%), switching from a high or medium metabolic risk profile SGA to a low-risk one (30.9%), nonpharmacological treatment (25.4%), and switching from SGA polytherapy to monotherapy (11.7%). The conditional logistic regression analysis on matched mAEI recipients and nonrecipients showed that patients with an abnormal BMI had 43% higher odds of receiving mAEI (odds ratio [95% confidence interval]: 1.43 [1.13-1.79]). However, the presence of an abnormal laboratory reading was not associated with the initiation of mAEIs. Conclusions: The prescribing of mAEIs were associated with the presence of obesity, but not with abnormal readings of other metabolic parameters, suggesting that additional data are needed to clarify the long-term implication of SGA metabolic adverse events other than weight gain and to inform the appropriate timing for interventions.

Impact of the AACAP practice parameters on the metabolic adverse event monitoring for second-generation antipsychotics (SGAs) in children and adolescents.

INTRODUCTION: The objective of our study was to evaluate the impact of the publication of the American Academy of Child and Adolescent Psychiatry (AACAP) practice parameters for SGA metabolic monitoring in 2011 on SGA metabolic monitoring uptake among pediatric SGA recipients. METHODS: This was a retrospective study of children 1-17 years of age who initiated SGA treatment from Jan 2010 to December 2018 using a national Electronic Medical Records database. A segmented regression of interrupted time-series (ITS) analysis was conducted to analyze the change of metabolic monitoring rates for Body Mass Index (BMI), Blood Glucose (BG), and Total Cholesterol (CHL) 9 quarters pre- and 26 quarters post-the publication of the AACAP practice parameters. RESULTS: The analytical cohort included 9620 children and adolescents who initiated SGA treatment during the study period. The ITS results showed that the publication of the AACAP practice parameter for SGA metabolic monitoring was associated with a 12.61 percentage points (p < 0.0002) immediate increase in BMI monitoring rate, (increased from 29.10% in Q4 2011 to 40.10% in Q3 2012). There was a positive trend of BMI monitoring rate prior to the publication of AACAP practice parameters, which continued during the post-publication period. Neither immediate nor sustained changes in the association of monitoring rates for BG and CHL were observed after the issuance of the guidelines. CONCLUSION: The publication of AACAP practice parameters for SGA monitoring was associated with a significant improvement in the monitoring for BMI, but not for BG and CHL in children and adolescents.

Design and Synthesis of 3,5-Disubstituted 1,2,4-Oxadiazole Containing Retinoids from a Retinoic Acid Receptor Agonist.

We previously synthesized novel retinoid libraries, and after screening for bioactivity found one compound BT10 that functions as a specific agonist for retinoic acid receptors. This lead compound was further derivatized using SAR and LRD to obtain 3,5-disubstituted-1,2,4-oxadiazole-containing retinoids. The new oxadiazole (amide bioisosters)-containing retinoids (compounds 1, 2, 3, 4, 5, and 6) were synthesized in 42-65% yield by reacting with (E)-4-((3-ethyl,2-4,4,4-trimethylcyclohex-2-enylidene)methyl)benzoic acid and phenyl substituted amidoxime in DMF using CDI as the coupling reagent. The biological activities of the synthesized compounds are currently being evaluated.

Reversibility of psychotropic medication induced weight gain among children and adolescents with bipolar disorders.

OBJECTIVE: To assess the reversibility of weight gain associated with psychotropic medications in children. METHODS: A retrospective cohort study was conducted using an ambulatory electronic medical records database. Individuals under 18 years of age were identified if they were initiating a new course of second generation/atypical antipsychotics (SGA) or mood stabilizers (MS) following a bipolar disorder diagnosis and subsequently discontinued treatment within 24 months of treatment initiation. RESULTS: Of the 297 children who had experienced positive BMI percentile increase (mean±SD: 8.71±11.94) during the treatment of SGA and/or MS, treatment discontinuation led to an average of 1.88 (±13.41) unit decrease in BMI percentile during a 12-month period since the treatment discontinuation. Repeated measure mixed model analysis showed that the reduction of BMI percentile after treatment discontinuation was neither associated with the treatment regimens patients previously received, nor associated with time since the treatment discontinuation. The three statistically significant predictors were baseline BMI percentile, BMI percentile gained during the treatment, and comorbid substance abuse disorder. CONCLUSION: Children with bipolar disorder were able to lose a fraction of weight gained during pharmacotherapy after the treatment discontinuation, however, their BMI percentile may not return to the prior treatment level within a year post-medication discontinuation.

Racial/ethnic differences in the treatment of adolescent major depressive disorders (MDD) across healthcare providers participating in the medicaid program.

BACKGROUND: To examine whether racial/ethnic differences in receipt of MDD treatment could be explained by the specialty of provider diagnosing the adolescent. METHOD: Adolescents (10-20 years-old) with ≥2 MDD diagnoses were identified using 2005-2007 Medicaid data from Texas. Patients were categorized based on the types of provider who gave the initial MDD diagnosis (psychiatrist (PSY-I), social worker/psychologist (SWP-I), and primary care physician (PCP-I)). Within the sub-cohorts identified by each type of provider, patients were further divided by racial/ethnic groups. RESULTS: Of the 13,234-new pediatric MDD cases diagnosed, 61% were SWP-I, 33% PSY-I and 6% PCP-I. Results of the analysis using general linear multi-level model showed that being first diagnosed by a psychiatrist was associated with higher chance of receiving MDD related treatment (PCP-I vs. PSY-I (OR: 0.54, 95%CI: 0.4-0.7) and SWP-I vs. PSY-I (OR: 0.17, 95%CI: 0.1-0.2)). Specifically, regarding the receipt of pharmacotherapy, an interaction effect was detected between types of identifying providers and patients' race/ethnicity. The analysis stratified by race/ethnicity found Whites received comparable treatment regardless being PCP-Is or PSY-Is, while for Hispanics, being first identified by a PCP was associated with lower likelihood of receiving treatment as compared to being first identified by a psychiatrist. Further analysis stratified by provider types showed that a significant racial/ethnic variation in medication utilization was observed in PCP-Is, but not in PSY-Is. CONCLUSION: For adolescents with MDD, being first diagnosed by a psychiatrist was associated with higher treatment rate and reduced racial/ethnic variation in the utilization of pharmacotherapy.