Metabolic screening in children receiving antipsychotic drug treatment

Cardiometabolic Monitoring and Sociodemographic and Clinical Characteristics of Youths Prescribed Antipsychotic Medications

OBJECTIVE

This study examined time trends and patient characteristics related to guideline-recommended cardiometabolic risk factor monitoring among youths treated with antipsychotic medications.

METHODS

This observational study assessed participant sociodemographic and clinical characteristics and year of antipsychotic medication initiation, with receipt of glycemic and lipid testing within 2 years of initiation as the primary outcome. Electronic health records and pharmacy data from Kaiser Permanente Northern California for 4,568 youths (ages 10-21 years) who began antipsychotic medication treatment during 2013-2017 were included.

RESULTS

Mean±SD age of the sample was 17.0±3.0 years, 52% were male, and 50% were Asian American, Native Hawaiian, or Pacific Islander; Black; Latino; or another or unknown race-ethnicity. Overall, 54% of the sample completed glycemic and lipid monitoring within 2 years of medication initiation (41% within 1 year). With each study year, monitoring rates increased by 5% in this cohort, after the analyses were adjusted for participant factors (p=0.001). In the fully adjusted analysis, youths with a psychotic disorder were 23% more likely to receive cardiometabolic monitoring than those without a psychotic disorder or bipolar disorder (p<0.001). Monitoring was also more common among younger versus older adolescents and among those with risperidone (vs. quetiapine) medication, obesity, or more frequent use of outpatient health care. Youths with (vs. without) substance use disorder were 19% less likely to complete monitoring (p<0.001).

CONCLUSIONS

Cardiometabolic monitoring increased modestly over time, but close to half of the studied youths did not receive glycemic or lipid testing. Additional clinical strategies may be needed to increase monitoring overall and among harder-to-reach youth subgroups.

Adherence to antipsychotic laboratory monitoring guidelines in children and youth: a population-based study

Background

In 2011, the Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children (CAMESA) published guidelines for the metabolic monitoring of antipsychotic-treated children and youth. Population-based studies examining adherence to these guidelines are needed to ensure the safe use of antipsychotics in children and youth.

Methods

We conducted a population-based study of all Ontario residents aged 0 to 24 who were newly dispensed an antipsychotic between April 1, 2018, and March 31, 2019. We estimated prevalence ratios (PRs) and 95% confidence intervals (CI) associating sociodemographic characteristics with the receipt of baseline and follow-up (3- and 6-month) laboratory testing using log-Poisson regression models.

Results

Overall, 6,505 of 27,718 (23.5%) children and youth newly dispensed an antipsychotic received at least one guideline-recommended baseline test. Monitoring was more prevalent among individuals aged 10 to 14 years (PR 1.20; 95% CI 1.04 to 1.38), 15 to 19 years (PR 1.60; 95% CI 1.41 to 1.82), and 20 to 24 years (PR 1.71; 95% CI 1.50 to 1.94) compared to children under the age of 10. Baseline monitoring was associated with mental health-related hospitalizations or emergency department visits in the year preceding therapy (PR 1.76; 95% CI 1.65 to 1.87), a prior diagnosis of schizophrenia (PR 1.20; 95% CI 1.14 to 1.26) or diabetes (PR 1.35; 95% CI 1.19 to 1.54), benzodiazepine use (PR 1.13; 95% CI 1.04 to 1.24), and receipt of a prescription from a child and adolescent psychiatrist or developmental pediatrician versus a family physician (PR 1.41; 95% CI 1.34 to 1.48). Conversely, monitoring was less frequent in individuals co-prescribed stimulants (PR 0.83; 95% CI 0.75 to 0.91). The prevalence of any 3- and 6-month follow-up monitoring among children and youth receiving continuous antipsychotic therapy at these time points was 13.0% (1,179 of 9,080) and 11.4% (597 of 5,261), respectively. Correlates of follow-up testing were similar to those of baseline monitoring.

Conclusion

Most children initiating antipsychotic therapy do not receive guideline-recommended metabolic laboratory monitoring. Further research is needed to understand reasons for poor guideline adherence and the role of clinician training and collaborative service models in promoting best monitoring practices.

Second-generation antipsychotic medications and metabolic disturbance in children and adolescents

Background

The second-generation antipsychotics (SGAs) are a group of antipsychotic drugs, used to treat psychiatric conditions. SGAs have been shown to precipitate rapid weight gain and dyslipidemia, as well as to promote insulin resistance, leading to the emergence of type 2 diabetes and metabolic syndrome. Prescriptions of SGAs in children have increased 6- to 10-fold during the last decade. This research work designed to find correlation between duration of second-generation antipsychotics (SGA) use, in children and adolescent, and the increase in metabolic syndrome disturbance components including weight gain, hypertension, hyperlipidemia and diabetes mellitus. This is cross-sectional analytic study was carried out in Suez Canal University Hospital, Psychiatry Outpatient Clinic on Children and adolescent aged 4–17 years. It included 151 children and adolescents diagnosed by Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). They were divided into two groups, 72 patients who regular on (SGA) as treated group and 79 patients who did not receive pharmacological medication as control group.

Results

The overall prevalence of metabolic syndrome in the current study was high 27.81% in SGA-treated children compared to 0.60% in control group. In the SGA-treated group, 22.22% had type 2 diabetes, compared with 2.53% in the control group. SGA-treated patients showed a highly significant increase in their weight, body mass index and waist circumference compared to their control group patients. The correlation of different metabolic syndrome indices and SGAs duration showed positive correlation with body mass index, fasting blood sugar, and blood lipids (low density lipoproteins and cholesterol) but negative correlation with high density lipoproteins. Blood pressure did not correlate with SGA-duration in the studied patients. Indices which showed correlation could be predictors of the metabolic syndrome developments. Although the correlation and regression model showed moderate degree of association, this is considered important issue for the young patients.

Conclusion

SGA treatment in children and adolescence confers a significantly increased risk for metabolic syndrome and SGA-treatment duration is important for MtS development.

Practitioners' Perspective on Metabolic Monitoring of Second-Generation Antipsychotics: Existing Gaps in Knowledge, Barriers to Monitoring, and Strategies

Introduction: Prescription of second-generation antipsychotics (SGAs) in youth is rapidly increasing globally and in Australia. Lack of timely metabolic monitoring for potential adverse effects puts youth at greater risk for lifelong adverse health impact. Metabolic monitoring is recommended as best practice to prevent and/or manage SGA-induced weight gain/metabolic syndrome. The adherence to clinical guidelines remains suboptimal. It is crucial to gauge insight to challenges and strategies from the perspective of prescribers and to recommend strategies in promoting quality use of SGAs and adherence to pharmacovigilance standards. Methods: Psychiatrists participated through semistructured interviews within the community mental health clinics in the Queensland State of Australia. The interviews focused on barriers to monitoring and strategies to enhance rate of monitoring with key focus on practical strategies for future implications in community setting. Results: Ten participants completed the interviews. Barriers were specified such as lack of adequate resources to conduct monitoring, carers' disengagement in their youth's treatments, and patients' refusal to undergo blood tests. Strategies to enhance metabolic monitoring heavily relied on organizational support, provision of training, and education opportunities. Conclusions: Clinical recommendations require mental health providers to facilitate conduction of metabolic monitoring among youth prescribed SGA/s. However, they are not provided with enough support and there are challenges that prevent such care. It is crucial to understand the challenges in managing a complex and vulnerable patient cohort. This research has thrown light on these key aspects of existing gap between best practice standards and clinical practice in youth prescribed SGAs.

Antipsychotic Medications for Low-Income Preschoolers: Long Duration and Psychotropic Medication Polypharmacy

OBJECTIVE

This study aimed to evaluate prescribing patterns of antipsychotic medication and factors that predict duration of use among low-income, preschool-age children.

METHODS

State Medicaid claims from 2012 to 2017 were used to identify antipsychotic medication use for children <6 years old. ICD-9 and ICD-10 codes were used to describe child diagnoses. Descriptive and multivariable analyses were used to determine patterns of antipsychotic medication use and factors that predicted duration of use.

RESULTS

In 2012, 316 children <6 years of age started an antipsychotic medication in a southeastern state. Most were non-Hispanic White (N=202, 64%) and boys (N=231, 73%). Diagnoses included attention-deficit hyperactivity disorder (N=288, 91%), neurodevelopmental disorders (N=208, 66%), anxiety and trauma-related diagnoses (N=202, 64%), and autism spectrum disorders (ASDs) (N=137, 43%). The mean±SD duration of exposure to antipsychotic medication for children in the cohort was 2.6±1.7 years, but 86 children (27%) had >4 years of exposure. Almost one-third (N=97, 31%) received polypharmacy of four or more medication classes, and 42% (N=131) received metabolic screening. Being male, being in foster care, and having a diagnosis of ASD or disruptive mood dysregulation disorder were significantly associated with duration of use of antipsychotic medications; race-ethnicity was not significantly associated with duration of use. Emergency department visits (N=277, 88%) and inpatient hospitalizations (N=107, 34%) were observed during the study period.

CONCLUSIONS

Many preschoolers received antipsychotic medications for substantial periods. Further research is needed to identify evidence-based practices to reduce medication use and improve outcomes.

Low Rates of Clinician Monitoring for Second Generation Antipsychotic Medications in Community Pediatric Practice

Second generation antipsychotic (SGA) medications are frequently prescribed to pediatric patients in the United States. This retrospective observational study sought to ascertain the extent of adherence to established pediatric SGA monitoring guidelines in community practice. The team used the electronic health record to determine clinician adherence to SGA monitoring guidelines at baseline, 12-week, and annual times relative to prescribing an SGA. At the time of their SGA prescription, 5.5% of pediatric patients had received all of the orders according to the monitoring guidelines. Annually, 2.5% of patients had received the necessary orders to completely adhere to monitoring guidelines; 42% of patients received no monitoring orders. Monitoring was more likely for children who had multiple types of providers and interacted with the healthcare system beyond a traditional office visit. This research informs healthcare providers about the gap between prescribing and monitoring for SGA medications in community practice for pediatric populations.

How to Mitigate Risk of Premature Cardiovascular Disease Among Children and Adolescents with Mental Health Conditions

Purpose of Review

The goal of this article is to characterize the myriad of ways that children with mental health conditions can be at risk for premature cardiovascular disease (CVD) and various modalities to ameliorate this risk in childhood in order to improve the life course of these children.

Review Findings

Child and adolescent mental health conditions are a common yet underrecognized risk factor for premature CVD. The American Heart Association has recently included psychiatric conditions as a CVD risk factor (CVDRF) and the evidence linking childhood adversity to cardiometabolic disease. There are bidirectional and additive effects from the intrinsic emotional dysregulation and inflammatory changes from the mental health condition, the associations with risky health behaviors, and in some cases, metabolic side effects from pharmacotherapy. These pathways can be potentiated by toxic stress, a physiologic response to stressors from childhood adversity. Toxic stress is also associated with development of mental health conditions with epigenetic effects that can result in transgenerational inheritance of cardiometabolic risk. Exposure to toxic stress and mental health conditions in isolation sometimes compounded by pharmacotherapies used in treatment increase the risk of cardiometabolic diseases in childhood. The multiple pathways, which adversely influence cardiometabolic outcomes, encourage clinicians to consider strategies to mitigate these factors and justify the importance of early screening and treatment for CVDRFs.

Summary

Mental health, health behaviors, and environmental factors co-occur and intersect in complex pathways that can increase CVD risk over the lifespan. Early detection and response can mitigate the risks associated with premature development of CVD.

Monitoring of Adverse Drug Reaction-Related Parameters in Children, Youth, and Young Adults Prescribed Antipsychotic Drugs by General Practitioners

Objective: The aim of the study was to assess monitoring of adverse drug reaction (ADR)-related parameters in children, youth, and young adults treated with second-generation antipsychotic drugs (SGAs) prescribed by general practitioners (GPs). Methods: This retrospective follow-up study included children, youth, and young adults aged 0 - 24 years, who had an initial prescription of an SGA recorded in the Clinical Practice Research Datalink between 2000 and 2017, and who were prescribed an SGA more than once for a duration of at least 6 months. It included an assessment of which ADR-related physical parameters (weight, height, body-mass index, waist circumference, pulse, blood pressure, and heart examination) and laboratory parameters (glucose, HbA1c, lipids, and prolactin) were monitored in children, youth, and young adults at least once every 6-month period, stratified by sex, age categories, and calendar years. Results: In total, 7006 patients were included and the mean duration of follow-up was 1.6 years. Monitoring frequencies of all parameters were below 25%. Blood pressure and weight were monitored in 23.6% and 23.4%, respectively, of all children, youth, and young adults during the first half year; waist circumference was monitored in 0.2%. Females were monitored more often than males, some differences between age categories were observed, and monitoring frequencies increased after 2000, but did not exceed 35% in any year. Conclusion: Monitoring frequencies of ADR-related parameters in children, youth, and young adults treated with SGAs prescribed by a GP were low. Monitoring in primary care should be improved to enable a better evaluation of the benefit-risk balance during antipsychotic drug therapy.

Metabolic events associated with the use of antipsychotics in children, adolescents and young adults: a multinational sequence symmetry study

It is known that younger patients treated with antipsychotics are at increased risk of metabolic events; however, it is unknown how this risk varies according to ethnicity, the class of antipsychotic and the specific product used, and by age group. We conducted a multinational sequence symmetry study in Asian populations (Hong Kong, Japan, Korea, Taiwan and Thailand) and non-Asian populations (Australia and Denmark) to evaluate the metabolic events associated with antipsychotics in both Asian and non-Asian populations, for typical and atypical antipsychotics, and by the subgroups of children and adolescents, and young adults. Patients aged 6-30 years newly initiating oral antipsychotic drugs were included. We defined a composite outcome for metabolic events which included dyslipidemia, hypertension and hyperglycemia. We calculated the sequence ratio (SR) by dividing the number of people for whom a medicine for one of the outcome events was initiated within a 12-month period after antipsychotic initiation by the number before antipsychotic initiation. This study included 346,904 antipsychotic initiators across seven countries. Antipsychotic use was associated with an increased risk of composite metabolic events with a pooled adjusted SR (ASR) of 1.22 (95% CI 1.00-1.50). Pooled ASRs were similar between Asian (ASR, 1.22; 95% CI 0.88-1.70) and non-Asian populations (ASR, 1.22; 95% CI 1.04-1.43). The pooled ASR for typical and atypical antipsychotics was 0.98 (95% CI 0.85-1.12) and 1.24 (95% CI 0.97-1.59), respectively. No difference was observed in the relative effect in children and adolescents compared to young adults. The risk of metabolic events associated with antipsychotics use was similar in magnitude in Asian and non-Asian populations despite the marked difference in drug utilization patterns.

Monitoring of metabolic side-effects in children and adolescents prescribed antipsychotic medication: A systematic review

OBJECTIVES

Prescribing antipsychotic medications to children and adolescents with severe mental and developmental disorders is common; however, there is a lack of consensus on appropriate metabolic monitoring for this population. This review systematically evaluates studies examining metabolic monitoring of children and adolescents prescribed antipsychotic medication to understand the clinical practice of metabolic monitoring and identify opportunities to improve the safety of antipsychotic prescribing in this population.

METHODS

A systematic search for original research on metabolic monitoring in children and adolescents prescribed antipsychotics was conducted in six databases (PubMed, EMBASE, PsycINFO, The Cochrane Library [Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CENTRAL], Cochrane Methodology Register and Web of Science [Science and Social Science Citation Index]) from inception to February 2020 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were assessed for quality and findings summarised using narrative synthesis.

RESULTS

Fifteen papers were identified. Studies agreed on the need for metabolic monitoring; however, there was a gap between guideline-recommended practice and clinical practice. Variable rates of baseline and subsequent monitoring were reported for both physical and biochemical parameters, with particularly low rates for monitoring requiring venesection. Younger age was also associated with lower monitoring rates. Implementation of quality improvement activities (new guidelines, staff education and checklists) improved monitoring rates although the measurement of biochemical parameters still occurred in only a minority of children.

CONCLUSION

Despite widespread awareness and concern regarding metabolic side-effects, monitoring occurred inconsistently and infrequently, particularly for biochemical parameters requiring venesection. Monitoring of anthropometric measures (weight, body mass index and waist circumference) with escalation to more laboratory testing where metabolic concerns are identified may improve monitoring. Minimising iatrogenic harm, through reduced antipsychotic prescription where possible, is a clinical priority in this population.

Testing the Use of Data Drawn from the Electronic Health Record to Compare Quality

Introduction

Health systems spend $1.5 billion annually reporting data on quality, but efficacy and utility for benchmarking are limited due, in part, to limitations of data sources. Our objective was to implement and evaluate measures of pediatric quality for three conditions using electronic health record (EHR)-derived data.

Methods

PCORnet networks standardized EHR-derived data to a common data model. In 13 health systems from 2 networks for 2015, we implemented the National Quality Forum measures: % children with sickle cell anemia who received a transcranial Doppler; % children on antipsychotics who had metabolic screening; and % pediatric acute otitis media with amoxicillin prescribed. Manual chart review assessed measure accuracy.

Results

Only 39% (N = 2,923) of 7,278 children on antipsychotics received metabolic screening (range: 20%-54%). If the measure indicated screening was performed, the chart agreed 88% of the time [95% confidence interval (CI): 81%-94%]; if it indicated screening was not done, the chart agreed 86% (95% CI: 78%-93%). Only 69% (N = 793) of 1,144 children received transcranial Doppler screening (range across sites: 49%-88%). If the measure indicated screening was performed, the chart agreed 98% of the time (95% CI: 94%-100%); if it indicated screening was not performed, the chart agreed 89% (95% CI: 82%-95%). For acute otitis media, chart review identified many qualifying cases missed by the National Quality Forum measure, which excluded a common diagnostic code.

Conclusions

Measures of healthcare quality developed using EHR-derived data were valid and identified wide variation among network sites. This data can facilitate the identification and spread of best practices.

Long-Term Metabolic Monitoring of Youths Treated with Second-Generation Antipsychotics 5 Years after Publication of the CAMESA Guidelines Are We Making Progress? Surveillance Métabolique à Long Terme des Jeunes Traités par Antipsychotiques de Deuxième Génération, Cinq ans Après la publication des Lignes Directrices Camesa: Faisons-Nous des Progrès?

OBJECTIVE

The potential metabolic adverse effects of second-generation antipsychotics (SGA) need to be monitored. The Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics (CAMESA) offers guidelines for this purpose. We aimed to evaluate the long-term rates of youths receiving monitoring in mental health clinics and document the factors that may influence them.

METHOD

The charts of 180 patients (13.3 ± 3.1 years, 54.4% males) receiving SGA treatment for the first time between January 2016 and June 2018 were reviewed. Monitoring was divided into baseline and 1- to 6-month and 9- to 24-month periods. Population under study was stratified into children (4 to 12 years) and adolescents (13 to 18 years). Sociodemographic characteristics, psychiatric diagnosis and comorbidities, prescribed SGAs and comedications, anthropometric measures (AM), blood pressure (BP), blood tests (BT), electrocardiogram, and the psychiatrist's years of practice were collected. Cross tables were used to present the monitoring rates. Categories were compared by covariate analysis. Rates of patients monitored across categories were compared using Fisher exact test.

RESULTS

Monitoring rates for AM, BT, and BP were 55%, 47.8%, and 46.7% at baseline; 50%, 41.7%, and 45.2% at 1 to 6 months; and 47.2%, 41.5%, and 40.6% at 9 to 24 months, respectively. Higher monitoring rates were significantly associated with adolescent status (baseline, 1 to 6 months), a diagnosis of psychotic and/or affective disorder (baseline, 1 to 6 months, 9 to 24 months), having ≤1 psychiatric comorbidities (1 to 6 months), high SGA dose (baseline, 1 to 6 months), and clinician's experience (baseline, 9 to 24 months). Significantly lower monitoring rates were associated with the psychostimulant/atomoxetine comedication (baseline, 1 to 6 months, 9 to 24 months).

CONCLUSION

Five years after publication of the CAMESA guidelines, metabolic monitoring is conducted for less than half of patients. In our sample, age, diagnostic category, psychiatric comorbidities, SGA dose, clinician's experience, and comedications influenced the monitoring rates. Major progress still needs to be made before reaching a satisfactory level of monitoring.

The Burden of Antipsychotic-Induced Weight Gain and Metabolic Syndrome in Children

Antipsychotic medications are critical to child and adolescent psychiatry, from the stabilization of psychotic disorders like schizophrenia, bipolar disorder, and psychotic depression to behavioral treatment of autism spectrum disorder, tic disorders, and pediatric aggression. While effective, these medications carry serious risk of adverse events-most commonly, weight gain and cardiometabolic abnormalities. Negative metabolic consequences affect up to 60% of patients and present a major obstacle to long-term treatment. Since antipsychotics are often chronically prescribed beginning in childhood, cardiometabolic risk accumulates. An increased susceptibility to antipsychotic-induced weight gain (AIWG) has been repeatedly documented in children, particularly rapid weight gain. Associated cardiometabolic abnormalities include central obesity, insulin resistance, dyslipidemia, and systemic inflammation. Lifestyle interventions and medications such as metformin have been proposed to reduce risk but remain limited in efficacy. Furthermore, antipsychotic medications touted to be weight-neutral in adults can cause substantial weight gain in children. A better understanding of the biological underpinnings of AIWG could inform targeted and potentially more fruitful treatments; however, little is known about the underlying mechanism. As yet, modest genetic studies have nominated a few risk genes that explain only a small percentage of the risk. Recent investigations have begun to explore novel potential mechanisms of AIWG, including a role for gut microbiota and microbial metabolites. This article reviews the problem of AIWG and AP metabolic side effects in pediatric populations, proposed mechanisms underlying this serious side effect, and strategies to mitigate adverse impact. We suggest future directions for research efforts that may advance the field and lead to improved clinical interventions.

Use of Antipsychotics: The Experiences, Views, and Monitoring Practices of Child and Adolescent Psychiatrists in Turkey

Objectives: The aim of this study is to evaluate the antipsychotics prescribed by child psychiatrists and their applications on the follow-up of these drugs. Methods: The universe of this research included consultant physicians and child psychiatry residents working in the field. A questionnaire has been created that assesses the use of antipsychotics and follow-up processes of physicians. The survey involved 19 questions. Contents of the survey were sociodemographic data, short-term and long-term follow-up of antipsychotic drugs, side-effect intervention strategies, and diagnoses of the most commonly preferred antipsychotic medications. The survey was delivered via e-mail and sent as a message to the child and adolescent psychiatrists in Turkey. Results: One hundred sixty-one physicians working in the field of child and adolescent psychiatry participated in the study. Aripiprazole (32.2%), risperidone (30.4%), and quetiapine (14.9%) were three most commonly prescribed antipsychotics. Disruptive behavior-related disorders (28.9%), behavior problems related to autism spectrum disorder (20.7%), behavior problems related to intellectual disability (14.5%), and attention-deficit/hyperactivity disorder (12.4%) were the most common diagnoses requiring antipsychotics medications. Before starting antipsychotic treatment, the most commonly evaluated parameters were body mass index (BMI) (47.2%), waist circumference (10.5%), blood pressure (28.5%), lipid profile (37%), and blood glucose level (41.6%). When the evaluations made at least in a year after starting antipsychotic drug therapy were examined, 80.2% of physicians reported blood glucose, 79.6% lipid profile, 65.7% BMI, 59.1% blood pressure, and 26.6% waist circumference measurement almost always done. Conclusions: The results showed that the adherence to recommendations in guidelines for the screening of antipsychotic-related side effects was low. This study suggests that interventions should be made about antipsychotic monitoring training to physicians.

Interventions to Improve Metabolic Risk Screening Among Children and Adolescents on Antipsychotic Medication: A Systematic Review

Objective: Antipsychotic use among youth is common and is associated with metabolic side effects such as weight gain. Guidelines recommend periodic screening of metabolic measures in youth prescribed antipsychotics; however, a guideline-to-practice gap exists. We systematically reviewed the literature to synthesize the knowledge from interventions that aim to improve antipsychotic metabolic screening. We described the interventions' effect on screening rates, the strategies used for improvement, and study quality. Methods: We conducted a systematic review of studies that attempted to improve antipsychotic metabolic risk screening practices among pediatric populations published between 2004 and August 2019. We included studies with an improvement intervention that compared screening rates before and after the intervention. We extracted data about study characteristics, screening rates in pre- and postintervention groups, strategies used to influence screening practices, and assessed studies' risk of bias. This review was prospectively registered with PROSPERO #CRD42018088241. Results: We identified six studies that demonstrated modest improvements in median metabolic screening rates for waist circumference (0%-16%), glucose (9%-39%), and lipids (11%-37%). Median postintervention screening rates were higher for weight and blood pressure (84% and 72.5%) compared with glucose and lipids (39% and 37%). Interventions used a variety of improvement strategies to address patient-, provider-, and organization-level barriers for screening, including increasing patient and provider knowledge regarding antipsychotic side effects, fostering social clinical environments that promote screening, and organizational commitment for screening antipsychotic-treated youth. All interventions were deemed at high risk of bias due to uncontrolled design and lack of adjustment for confounders. Conclusions: Included studies reported partial success in improving antipsychotic screening rates but were of poor methodological quality. Common improvement strategies may affect provider behavior to conduct metabolic screening, but these need to be tailored to local resources and organization structure. Future studies need to use rigorous methodology and theory-informed improvement strategies aligned with organizational actions to prioritize safe and judicious practice of antipsychotics among pediatric populations.

Monitoring of Adverse Drug Reaction-Related Parameters in Children and Adolescents Treated With Antipsychotic Drugs in Psychiatric Outpatient Clinics

Aim: To assess the frequency of monitoring of adverse drug reaction (ADR) related parameters in children and adolescents treated with antipsychotic drugs in psychiatric outpatient clinics and the considerations when monitoring was not performed. Methods: This retrospective follow-up study included 100 randomly selected outpatients aged ≤18 years who had a first prescription of an antipsychotic drug recorded in the electronic medical records of psychiatric outpatient clinics between 2014 and 2017. They were followed for up to 3 years. This study assessed the frequency of monitoring for physical parameters (weight, height, body mass index, waist circumference, pulse, blood pressure, and an electrocardiogram) and laboratory parameters (glucose, lipids, and prolactin) before the first prescription of an antipsychotic drug as well as during its use. Monitoring frequencies were stratified by the patient characteristics (sex, age, cardiovascular risk factors, and use of other psychotropic drugs), and by location of antipsychotic drug initiation (psychiatric outpatient clinic or elsewhere). Additionally, this study assessed the considerations mentioned in the medical records for not monitoring ADR-related parameters. Results: Overall, physical parameters were monitored more frequently (weight: 85.9% during the first half-year) than laboratory parameters (glucose and cholesterol: both 23.5%). There were no significant differences in monitoring at least one physical as well as in monitoring at least one laboratory parameter during the baseline period and during the total follow-up of antipsychotic drug treatment between the patient characteristics. In total, 3% of the children and adolescents were never monitored for any physical parameter, and 54% were never monitored for any laboratory parameter. For a minority of the children (14.8%) who were never monitored for laboratory parameters, considerations were recorded in their medical records, including refusal by the child or parents and monitoring performed by the general practitioner or elsewhere. Conclusion: Monitoring frequencies of ADR-related parameters in children and adolescents treated with antipsychotic drugs in psychiatric outpatient clinics varied and especially monitoring of laboratory parameters was infrequent. Considerations why monitoring was not performed were rarely recorded. The optimal method of monitoring and documentation thereof should become clear to optimize the benefit-risk balance of antipsychotic drug treatment for each child.

A best-worst scaling experiment to identify patient-centered claims-based outcomes for evaluation of pediatric antipsychotic monitoring programs

Objective

This article employs a best‐worst scaling (BWS) experiment to identify the claims‐based outcomes that matter most to patients and other relevant parties when evaluating pediatric antipsychotic monitoring programs in the United States.

Data Sources

Patients and relevant parties, with pediatric antipsychotic oversight and treatment experience, completed a BWS experiment, including policymakers (n = 31), foster care alumni (n = 28), caseworkers (n = 23), prescribing clinicians (n = 32), and caregivers (n = 18).

Study Design

Respondents received surveys with a scenario on antipsychotic monitoring programs and ranked 11 candidate claims‐based outcomes as most and least important for program evaluation.

Data Analysis

Stratified by respondent group, best‐worst scores were calculated to identify the relative importance of the claims‐based outcomes. A conditional logit examined whether candidate outcomes for safety, quality, and unintended consequences were preferred over reduction in antipsychotic treatment, the outcome used most often to evaluate antipsychotic monitoring programs.

Principal Findings

Safety indicators (eg, antipsychotic co‐pharmacy, cross‐class polypharmacy, higher than recommended doses) ranked among the top three candidate outcomes across respondent groups and were an important complement to antipsychotic treatment reduction. Foster care alumni prioritized “antipsychotic treatment reduction” and “increased psychosocial treatment.” Caseworkers, prescribers, and caregivers prioritized “increased follow‐up after treatment initiation.” Potential unintended consequences of an antipsychotic monitoring program ranked lowest, including increased use of other psychotropic medication classes (as a substitute), increased psychiatric hospital stays, and increased emergency room utilization. Results of the conditional logit model found only caregivers significantly preferred other indicators over antipsychotic treatment reduction, preferring improvements in follow‐up care (5.78) and psychosocial treatment (4.53) and reduction in prescriptions of higher than recommended doses (3.64).

Conclusions

The BWS experiment supported rank ordering of candidate claims‐based outcomes demonstrating the opportunity for future studies to align outcomes used in antipsychotic monitoring program evaluations with community preferences, specifically by diversifying metrics to include safety and quality indicators.

Integrative Management of Metabolic Syndrome in Youth Prescribed Second-Generation Antipsychotics

Weight gain and metabolic syndrome are common side effects of second-generation antipsychotics and carry significant health consequences both in childhood and into adulthood. This review highlights evidence-based, non-pharmacologic interventions to assist in the management of these side effects. Such intervention categories include dietary, physical activity, sleep, stress management, and nutritional supplementation. Interventions with the highest quality evidence include increasing the consumption of fruits, vegetables, and whole grains, increasing physical activity, improving sleep, and fish oil supplementation. We suggest that clinicians work with patients on managing metabolic side effects in a patient-centered way, incorporating principles of motivational interviewing, to reduce the risk of metabolic syndrome.

Metabolic Monitoring Rates of Youth Treated with Second-Generation Antipsychotics in Usual Care: Results of a Large US National Commercial Health Plan

Objectives: To examine metabolic monitoring rates in commercially insured children and adolescents treated with a second-generation antipsychotic (SGA) during calendar years (CYs) 2016 and 2017. Methods: In this retrospective study, data were collected from a large national commercial health plan for the period covering January 1, 2016 to December 31, 2017. Commercially insured children and adolescents, aged 8-19 years with ≥2 SGA prescription claims during the CY, were identified for the CY2016 and CY2017 cohorts. The primary outcome of interest was the percentage of subjects with any glucose or lipid metabolism parameter monitoring. Other calculated metabolic testing rates included glucose, hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), other cholesterol (including triglycerides), and combined glucose and lipid metabolism testing (≥1 test for blood glucose or HbA1c and ≥1 test for LDL-C or other cholesterol). Results: In CY2016 and CY2017, 1502 and 1239 subjects, respectively, were identified for this study. The most common psychiatric diagnoses in CY2016 and CY2017 were major depressive disorder (57.1%, 56.5%, respectively), anxiety disorders (42.9%, 47.5%), attention-deficit/hyperactivity disorder (41.6%, 45.8%), and bipolar disorder (24.1%, 25.9%). The rate of any metabolic testing was 53.5% in CY2016 and 51.3% in CY2017. Glucose testing (50.3%, 46.9%, respectively) was most common in both CYs, followed by LDL-C testing (31.2%, 28.5%). Rates of combined glucose and lipid metabolism testing were 30.7% in CY2016 and 26.9% in CY2017. Conclusions: Given the known potential for adverse cardiometabolic effects, rates of metabolic monitoring associated with SGA use in children and adolescents urgently need to be improved. There is a critical need for understanding barriers to routine monitoring, particularly of lipids, and developing interventions to enhance metabolic monitoring.

Metformin add-on vs. antipsychotic switch vs. continued antipsychotic treatment plus healthy lifestyle education in overweight or obese youth with severe mental illness: results from the IMPACT trial

Antipsychotics are used for many psychiatric conditions in youth. Although developmentally inappropriate weight gain and metabolic abnormalities, which are risk factors for premature cardiovascular mortality, are especially frequent in youth, optimal strategies to reduce pediatric antipsychotic-induced overweight/obesity are unclear. The Improving Metabolic Parameters in Antipsychotic Child Treatment (IMPACT) was a randomized, parallel group, 24-week clinical trial which enrolled overweight/obese, psychiatrically stable youth, aged 8-19 years, with a DSM-IV diagnosis of severe mental illness (schizophrenia spectrum disorder, bipolar spectrum disorder or psychotic depression), at four US universities. All of them had developed substantial weight gain following treatment with a second-generation antipsychotic. The centralized, computer-based randomization system assigned participants to unmasked treatment groups: metformin (MET); antipsychotic switch (aripiprazole or, if already exposed to that drug, perphenazine or molindone; SWITCH); or continued baseline antipsychotic (CONTROL). All participants received healthy lifestyle education. The primary outcome was body mass index (BMI) z-score change from baseline, analyzed using estimated least squares means. Altogether, 127 participants were randomized: 49 to MET, 31 to SWITCH, and 47 to CONTROL. BMI z-score decreased significantly with MET (week 24: -0.09±0.03, p=0.002) and SWITCH (week 24: -0.11±0.04, p=0.003), while it increased non-significantly with CONTROL (week 24: +0.04±0.03). On 3-way comparison, BMI z-score changes differed significantly (p=0.001). MET and SWITCH were each superior to CONTROL (p=0.002), with effect sizes of 0.68 and 0.81 respectively, while MET and SWITCH did not differ. More gastrointestinal problems occurred in MET than in SWITCH or CONTROL. The data safety monitoring board closed the perphenazine-SWITCH arm because 35.2% of subjects discontinued treatment due to psychiatric worsening. These data suggest that pediatric antipsychotic-related overweight/obesity can be reduced by adding metformin or switching to a lower risk antipsychotic. Healthy lifestyle education is not sufficient to prevent ongoing BMI z-score increase.

Incidence of adverse events in antipsychotic-naïve children and adolescents treated with antipsychotic drugs: Results of a multicenter naturalistic study (ETAPE)

The main objective of ETAPE study was to determine the incidence of adverse events (AEs) potentially related to antipsychotic (AP) during a 12-months observational study of naturalistic treatment. ETAPE is a naturalistic prospective multicenter study conducted between April 2013 and May 2016. 200 patients were included. The mean age was 12 ± 3 years, with 73.6% being males. Patients presented a significant clinical improvement over time. At baseline, 92% of patients received a second generation AP, 74% AP monotherapy and 79.5% off-label AP prescriptions. Clinical diagnoses were heterogeneous including psychosis, anxiety, mood and neurodevelopmental disorders. The overall AE incidence rate was 11.52 AEs per person-years. Among AEs potentially attributable to AP, 15.4% were neuromotor, 14.8% gastroenterological, 12.2% metabolic and 11.8% general symptoms. Weight and body mass index increased significantly. More than half of AE appeared during the first 3 months, but onset of AE was noted all over follow-up. The presence of AEs was stable over time. ETAPE study highlights a high incidence rate of AE in children treated with AP. A careful and continuous clinical and biological monitoring is required to adapt treatment decisions based on benefice-risk-analysis. Moreover, additional research is warranted, also in regard of high proportion of off-label prescriptions.

Adiposity, Hepatic Triglyceride, and Carotid Intima Media Thickness During Behavioral Weight Loss Treatment in Antipsychotic-Treated Youth: A Randomized Pilot Study

Objectives: The purpose of this pilot study was to evaluate changes in adiposity, carotid intima media thickness (CIMT), and hepatic fat content measured via magnetic resonance imaging-estimated hepatic proton density fat fraction (PDFF) in antipsychotic (AP)-treated youth versus nonpsychiatric (NP) participants during participation in a 16-week behavioral weight loss (BWL) intervention. Subjects/Methods: Overweight/obese AP-treated youth (n = 26) were randomized 2:1 to weekly treatment versus recommended care (RC) over 16 weeks. NP controls (n = 21) were assigned to weekly treatment. Dual-energy X-ray absorptiometry (DEXA)-measured adiposity, CIMT, and PDFF were measured at baseline and 16 weeks. Analyses assessed group differences in the effect of BWL on adiposity, CIMT, and PDFF. Results: BWL was well tolerated in both AP-treated and NP groups. DEXA-measured fat decreased significantly in the NP group (F[1,16] = 11.81, p = 0.003), with modest improvements in adiposity and hepatic fat in the AP-treated group, while an increase in adiposity was observed in the RC group. Significant differences in endpoint DEXA total fat (F[2,34] = 4.81, p = 0.01) and PDFF (F[2,30] = 3.60, p = 0.04) occurred across treatment groups, explained by larger improvements in NP versus RC youth in DEXA total fat (p = 0.03) and PDFF (p = 0.04). Conclusions: Intensive, family-based BWL treatment can improve whole-body adiposity and liver fat in obese youth, with decreases or attenuation of additional fat gain observed in AP-treated youth.

Second generation antipsychotic-induced weight gain in youth with autism spectrum disorders: a brief review of mechanisms, monitoring practices, and indicated treatments

The purpose of this review was to understand the impact of second generation antipsychotic (SGA)-induced weight gain on youth with autism spectrum disorders (ASDs), including the clinical evidence, mechanisms, monitoring guidelines, and treatments. To achieve this, multiple MEDLINE/PUBMED and Google database searches were performed and analyzed articles from January 2001 to April 2018. Existing evidences indicates youth with ASDs may be more prone to SGA-induced weight gain than youth with other psychiatric illnesses. The mechanism by which such weight gain occurs is unclear, but is likely multifactorial. Guidelines have been developed to monitor SGA-induced weight gain, though the existing guidelines have had limited adherence by clinicians. The available randomized control trials that have analyzed the benefit of metformin in youth suffering from SGA-induced weight gain have produced conflicting results, but the data looking specifically at youth with ASD have been positive. Increasing data on use of topiramate, melatonin, and zonisamide to treat SGA-induced weight gain in youth also exists and warrants further study. However, overall, the current understanding of the effect of SGA-induced weight gain on youth with ASD and the therapeutic use of medications like metformin is limited, but the existing literature provides useful guidelines for future research. The clinical algorithms for monitoring and managing SGA-induced weight gain have shown promise; however, their utility in routine clinical practice requires further investigation.

Use of EHR-Based Pediatric Quality Measures: Views of Health System Leaders and Parents

Measures of health care quality are produced from a variety of data sources, but often, physicians do not believe these measures reflect the quality of provided care. The aim was to assess the value to health system leaders (HSLs) and parents of benchmarking on health care quality measures using data mined from the electronic health record (EHR). Using in-context interviews with HSLs and parents, the authors investigated what new decisions and actions benchmarking using data mined from the EHR may enable and how benchmarking information should be presented to be most informative. Results demonstrate that although parents may have little experience using data on health care quality for decision making, they affirmed its potential value. HSLs expressed the need for high-confidence, validated metrics. They also perceived barriers to achieving meaningful metrics but recognized that mining data directly from the EHR could overcome those barriers. Parents and HSLs need high-confidence health care quality data to support decision making.

Adherence to Antipsychotic Adverse Effect Monitoring Among a Referred Sample of Children with Intellectual Disabilities

OBJECTIVES

Despite frequent use of antipsychotic medications to target severe behavioral problems among children with intellectual disabilities (ID), there is little information as to the extent to which adverse effect monitoring is in place for this population. The aim of this pilot study was to determine the extent to which monitoring for adverse effects was documented in health records of a cohort of children with ID who had been prescribed antipsychotic medication.

METHODS

Data were available on all children referred to a mental health clinic at a children's hospital in Canada who had ID and behavioral difficulties with intake appointments between September 1, 2016 and November 30, 2017. Charts of all those on antipsychotic medications were reviewed for a 12-week period to determine the extent to which adverse effect monitoring was documented using the parameters stipulated by the Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children (CAMESA), including laboratory, anthropometric, and neurological measures.

RESULTS

The database was composed of 47 patients of whom 25 were on antipsychotics (56% boys; mean age 13 [SD 3] years). The most commonly used antipsychotic was risperidone (48%). The extent of adherence to the guidelines was (1) 96% for weight, height, and body mass index; (2) 84% for extrapyramidal symptom screening; (3) 80% for blood pressure; (4) 64% for abdominal girth and liver enzymes; (5) 60% for fasting plasma glucose; and (6) 56% for fasting lipids. Only 20% had all core recommended parameters documented.

CONCLUSIONS

There were significant gaps in adverse effect monitoring in this cohort. Examination of variation in larger samples from multiple clinical services are required to determine the extent of this quality care gap. Several barriers to adherence are proposed with suggested solutions.

Chronic Medication Use in Children Insured by Medicaid: A Multistate Retrospective Cohort Study

BACKGROUND AND OBJECTIVES

Little is known about the use of chronic medications (CMs) in children. We assessed the prevalence of CM use in children and the association of clinical characteristics and health care resource use with the number of CMs used.

METHODS

This is a retrospective study of children ages 1 to 18 years using Medicaid from 10 states in 2014 grouped by the annual number of CMs (0, 1, 2-4, 5-9, and ≥10 medications), which are defined as a dispensed ≥30-day prescription with ≥2 dispensed refills. Trends in clinical characteristics and health care use by number of CMs were evaluated with the Cochran-Armitage trend test.

RESULTS

Of 4 594 061 subjects, 18.8% used CMs. CM use was 44.4% in children with a complex chronic condition. Across all children, the most common CM therapeutic class was neurologic (28.9%). Among CM users, 48.8% used multiple CMs (40.3% used 2-4, 7.0% used 5-9, and 0.5% used ≥10). The diversity of medications increased with increasing number of CMs: for 1 CM, amphetamine stimulants were most common (29.0%), and for ≥10 CMs, antiepileptics were most common (7.1%). Of $2.3 billion total pharmacy spending, 59.3% was attributable to children dispensed multiple CMs. Increased CM use (0 to ≥10 medications) was associated with increased emergency department use (32.1% to 56.2%) and hospitalization (2.3% to 36.7%).

CONCLUSIONS

Nearly 1 in 5 children with Medicaid used CMs. Use of multiple CMs was common and correlated with increased health care use. Understanding CM use in children should be fundamentally important to health care systems when strategizing how to provide safe, evidence-based, and cost-effective pharmaceutical care to children.

Pharmacological management of behavioral disturbances in children and adolescents with autism spectrum disorders

Autism spectrum disorder (ASD) is a heterogeneous neuropsychiatric condition that, based on recent CDC estimates affects an estimated 1 in 59 American children. Behavioral treatments remain the mainstay of treatment for the core symptoms of ASD including communication deficits, social interaction deficits and repetitive behavior. However, youth with ASD may also have severe behavioral challenges including irritability, aggression, and hyperactivity. Currently there are only two medications (risperidone and aripiprazole) approved by the FDA for the treatment of irritability associated with ASD in children. Psychiatric comorbidities are common in youth with ASD, affecting up to 70% of affected children and adolescents. Given the burden of co-occurring disorders, medications are often employed to target symptoms such as irritability, anxiety, and hyperactivity. Other common co-occurring conditions including gastrointestinal disorders and sleep disorders may be improved with pharmacologic management. Evidence for the efficacy of many commonly used psychotropic medications in ASD is limited by the lack of large placebo-controlled trials in youth with ASD. This paper reviews the current literature regarding use of medications to address co-occurring conditions in children and adolescents with ASD as well as areas of emerging research.

Glucose and Prolactin Monitoring in Children and Adolescents Initiating Antipsychotic Therapy

OBJECTIVE

We aimed to evaluate glucose and prolactin monitoring in children and adolescents initiating antipsychotic therapy using a nationwide claims database.

METHODS

A retrospective 15-month cohort study was conducted using the National Database of Health Insurance Claim Information and Specified Medical Checkups in Japan. Patients aged ≤18 years, who were newly prescribed antipsychotics between April 2014 and March 2015, were followed up for 450 days. Outcomes were the use of glucose and prolactin testing through 15 months after drug initiation (index date) with consideration of persistence with antipsychotic therapy. The incidence proportion of patients monitored was assessed within the following four time windows: baseline (between 30 days before the index date and the index date), at 1-3 months (between 1 and 90 days after the index date), at 4-9 months (between 91 and 270 days after the index date), and at 10-15 months (between 271 and 450 days after the index date).

RESULTS

Of 43,608 new users in 6620 medical institutions, the percentage of persistent antipsychotic users was 46.4% at 90 days, 29.7% at 270 days, and 23.8% at 450 days after the index date. The proportion of patients who received monitoring within the baseline period was 13.5% (95% confidence interval [CI], 13.2-13.8) for glucose and 0.6% (95% CI, 0.5-0.6) for prolactin, respectively. The proportion of patients who received glucose monitoring at all time windows decreased to 0.9%. The proportion of patients who received prolactin monitoring by the second time window decreased to 0.1%.

CONCLUSIONS

Our study shows that monitoring for glucose and prolactin is infrequent in children and adolescents initiating antipsychotic therapy. Strategies for physicians, patients, and guardians are needed to overcome the barriers in glucose and prolactin monitoring.

Metabolic Effects of Antipsychotics on Adiposity and Insulin Sensitivity in Youths: A Randomized Clinical Trial

IMPORTANCE

Antipsychotic medications are commonly used to treat nonpsychotic disruptive behavioral disorders in youths.

OBJECTIVE

To characterize the metabolic effects of first exposure to antipsychotics in youths using criterion standard assessments of body composition and insulin sensitivity.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial recruited antipsychotic-naive youths aged 6 to 18 years in the St Louis, Missouri, metropolitan area who were diagnosed with 1 or more psychiatric disorders and clinically significant aggression and in whom antipsychotic treatment was considered. Participants were enrolled from June 12, 2006, through November 10, 2010. Enrolled participants were randomized (1:1:1) to 1 of 3 antipsychotics commonly used in children with disruptive behavioral disorders and evaluated for 12 weeks. Data were analyzed from January 17, 2011, through August 9, 2017.

INTERVENTIONS

Twelve weeks of treatment with oral aripiprazole (n = 49), olanzapine (n = 46), or risperidone (n = 49).

MAIN OUTCOMES AND MEASURES

Primary outcomes included percentage total body fat measured by dual-energy x-ray absorptiometry (DXA) and insulin sensitivity in muscle measured via hyperinsulinemic clamps with stable isotopically labeled tracers. Secondary outcomes included abdominal adiposity measured by magnetic resonance imaging (MRI) and adipose and hepatic tissue insulin sensitivity measured via clamps with tracers.

RESULTS

The intention-to-treat sample included 144 participants (98 males [68.1%]; mean [SD] age, 11.3 [2.8] years); 74 (51.4%) were African American, and 43 (29.9%) were overweight or obese at baseline. For the primary outcomes, from baseline to week 12, DXA percentage total body fat increased by 1.18% for risperidone, 4.12% for olanzapine, and 1.66% for aripiprazole and was significantly greater for olanzapine than risperidone or aripiprazole (time by treatment interaction P < .001). From baseline to week 12, insulin-stimulated change in glucose rate of disappearance increased by 2.30% for risperidone and decreased by 29.34% for olanzapine and 30.26% for aripiprazole, with no significant difference across medications (time by treatment interaction, P < .07). This primary measure of insulin sensitivity decreased significantly during 12 weeks in the pooled study sample (effect of time, F = 17.38; P < .001). For the secondary outcomes from baseline to week 12, MRI measured abdominal fat increased, with subcutaneous fat increase significantly greater for olanzapine than risperdone or aripiprazole (time by treatment, P = .003). Behavioral improvements occurred with all treatments.

CONCLUSIONS AND RELEVANCE

Adverse changes in adiposity and insulin sensitivity were observed during 12 weeks of antipsychotic treatment in youths, with the greatest fat increases on olanzapine. Such changes, likely attributable to treatment, may be associated with risk for premature cardiometabolic morbidity and mortality. The results inform risk-benefit considerations for antipsychotic use in youths.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00205699.

Monitoring and Treating Metabolic Abnormalities in Patients with Early Psychosis Initiated on Antipsychotic Medications

Antipsychotic medications carry an established lifetime risk of metabolic syndrome. This retrospective chart review evaluated feasibility of a metabolic monitoring clinical decision support tool (CDST) for weight, lipid, blood glucose, and blood pressure management of 163 clients in an early psychosis outpatient clinic over 2 years. Each parameter had at least 98 (60.1%) clients with a recorded value, the most being documented for weight with 112 (68.7%) clients. CDST adherence ranged from at least 54.3-100% for non-pharmacologic interventions (e.g. clinic counseling, referral to health program or primary care) and at least 33.3-100% for pharmacologic interventions (e.g. metformin). Though no baseline cardiometabolic abnormalities were identified, dyslipidemia and obesity were later found in 37 (22.7%) and 35 (21.5%) clients, respectively. Only 14 (8.6%) clients were prescribed medications for cardiometabolic abnormalities by psychiatrists in the clinic. Increasing focus on physical health is needed to better this population's long-term prognosis.

Patterns of Early Mental Health Diagnosis and Medication Treatment in a Medicaid-Insured Birth Cohort

IMPORTANCE

The increased use of psychiatric services in the US pediatric population raises concerns about the appropriate use of psychotropic medications for very young children.

OBJECTIVE

To assess the longitudinal patterns of psychotropic medication use in association with diagnosis and duration of use in a Medicaid-insured birth cohort.

DESIGN, SETTING, AND PARTICIPANTS

A cohort design was applied to computerized Medicaid administrative claims data for 35 244 children born in a mid-Atlantic state in 2007 and followed up for up to 96 months through December 31, 2014. Children were included in the birth cohort if they had an enrollment record at birth or within 3 months of birth and at least 6 months of continuous enrollment from birth. The cohort represents 92.2% of 38 225 Medicaid-insured newborns in 2007.

EXPOSURES

Mental health treatments from birth through age 7 years.

MAIN OUTCOMES AND MEASURES

Cumulative incidence of first psychiatric diagnosis and psychotropic medication use (monotherapy or concomitant use of psychotropic medications) from birth through age 7 years, total and by sex, and the cumulative incidence of the use of psychosocial services (age, 0-7 years) as well as the annual duration of medication use (ie, number of days of psychotropic medication use among children 3-7 years of age).

RESULTS

Of the 35 244 children in the cohort, 17 267 were girls and 17 977 were boys. By age 8 years, 4550 children in the birth cohort (19.7% [percentage adjusted for right censoring]) had received a psychiatric diagnosis (International Classification of Diseases, Ninth Revision, Clinical Modification codes 290-319); 2624 of these diagnoses (57.7%) were behavioral (codes 312, 313, or 314). Girls were more likely than boys to receive an incident psychiatric diagnosis of adjustment disorder (355 of 1598 [22.2%] vs 427 of 2952 [14.5%]; P < .001) or anxiety disorder (114 of 1598 [7.1%] vs 120 of 2952 [4.1%]; P < .001). By age 8 years, 2196 children in the cohort (10.2% [percentage adjusted for right censoring]) had received a psychotropic medication. Among medication users, 1763 of 2196 (80.5% [percentage adjusted for right censoring]) received monotherapy, 343 of 2196 (16.4% [percentage adjusted for right censoring]) received 2 medication classes concomitantly, and 90 of 2196 (4.3% [percentage adjusted for right censoring]) received 3 or more medication classes concomitantly for 60 days or more (range, 78-180 days). The annual median number of days of psychotropic medication use among medicated children increased with age, reaching 210 of 365 days for children 7 years of age. Among children 7 years of age, the median number of days of use of an antipsychotic (193 days [interquartile range, 60-266 days]), stimulant (183 days [interquartile range, 86-295 days]), or α-agonist (199 days [interquartile range, 85-305 days]) exceeded half of the year.

CONCLUSIONS AND RELEVANCE

Medicaid-insured children received substantial mental health services and had prolonged exposure to psychotropic medications in the early years of life. These findings highlight the need for outcomes research in pediatric populations.

Enhancing metabolic monitoring for children and adolescents using second-generation antipsychotics

The prevalence of children and adolescents using second-generation antipsychotics (SGAs) has increased significantly in recent years. In this population, SGAs are used to treat mood and behavioural disorders although considered 'off-label' or not approved for these indications. Metabolic monitoring is the systematic physical health assessment of antipsychotic users utilized to detect cardiovascular and endocrine side effects and prevent adverse events such as weight gain, hyperglycaemia, hyperlipidemia, and arrhythmias. This practice ensures safe and efficacious SGA use among children and adolescents. Despite widely available, evidence-based metabolic monitoring guidelines, rates of monitoring continue to be suboptimal; this exposes children to the unnecessary risk of developing poor cardiovascular health and long-term disease. In this discursive paper, existing approaches to metabolic monitoring as well as challenges to implementing monitoring guidelines in practice are explored. The strengths and weaknesses of providing metabolic monitoring across outpatient psychiatry, primary care, and collaborative community settings are discussed. We suggest that there is no one-size-fits-all solution to improving metabolic monitoring care for children and adolescents using SGA in all settings. However, we advocate for a pragmatic global approach to enhance safety of children and adolescents taking SGAs through collaboration among healthcare disciplines with a focus on integrating nurses as champions of metabolic monitoring.

Patient, Treatment, and Health Care Utilization Variables Associated with Adherence to Metabolic Monitoring Practices in Children and Adolescents Taking Second-Generation Antipsychotics

OBJECTIVE

Children and adolescents with a range of psychiatric disorders are increasingly being prescribed atypical or second-generation antipsychotics (SGAs). While SGAs are effective at treating conduct and behavioural symptoms, they infer significant cardiometabolic risk. This study aims to explore what patient, treatment, and health care utilization variables are associated with adherence to Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics in Children (CAMESA) metabolic monitoring guidelines.

METHOD

A retrospective chart review of 294 children and adolescents accessing a large outpatient psychiatry setting within a 2-year study period (2014-2016) was conducted. Baseline and follow-up metabolic monitoring, demographic, treatment, and health care utilization variables were then assessed over a 1-year period of interest.

RESULTS

Metabolic monitoring practices did not adhere to CAMESA guidelines and were very poor over the 1-year observation period. There were significant differences between children (ages 4-12 years, n = 99) and adolescents (ages 13-18 years, n = 195). In adolescents, factors associated with any baseline metabolic monitoring were a higher number of psychiatry visits (odds ratio [OR], 1.2; 95% confidence interval [CI], 1.10 to 1.41), longer duration of contact (OR, 14; 95% CI, 2.31 to 82.4), and use of other non-SGA medications (OR, 3.2; 95% CI, 1.17 to 8.94). Among children, having an emergency room visit (OR, 3.4; 95% CI, 1.01 to 11.71) and taking aripiprazole (OR, 7.4; 95% CI, 2.02 to 27.45) increased the odds of receiving baseline metabolic monitoring.

CONCLUSION

Findings from this study highlight the need for better metabolic monitoring for children and adolescents taking SGAs. Enhanced focus on opportunities for multidisciplinary collaboration is needed to improve the quality of care offered to this population.

Measuring the impact of medicines regulatory interventions - Systematic review and methodological considerations

AIMS

Evaluating the public health impact of regulatory interventions is important but there is currently no common methodological approach to guide this evaluation. This systematic review provides a descriptive overview of the analytical methods for impact research.

METHODS

We searched MEDLINE and EMBASE for articles with an empirical analysis evaluating the impact of European Union or non-European Union regulatory actions to safeguard public health published until March 2017. References from systematic reviews and articles from other known sources were added. Regulatory interventions, data sources, outcomes of interest, methodology and key findings were extracted.

RESULTS

From 1246 screened articles, 229 were eligible for full-text review and 153 articles in English language were included in the descriptive analysis. Over a third of articles studied analgesics and antidepressants. Interventions most frequently evaluated are regulatory safety communications (28.8%), black box warnings (23.5%) and direct healthcare professional communications (10.5%); 55% of studies measured changes in drug utilization patterns, 27% evaluated health outcomes, and 18% targeted knowledge, behaviour or changes in clinical practice. Unintended consequences like switching therapies or spill-over effects were rarely evaluated. Two-thirds used before-after time series and 15.7% before-after cross-sectional study designs. Various analytical approaches were applied including interrupted time series regression (31.4%), simple descriptive analysis (28.8%) and descriptive analysis with significance tests (23.5%).

CONCLUSION

Whilst impact evaluation of pharmacovigilance and product-specific regulatory interventions is increasing, the marked heterogeneity in study conduct and reporting highlights the need for scientific guidance to ensure robust methodologies are applied and systematic dissemination of results occurs.

Improving Adherence to Atypical Antipsychotic Agent Screening Guidelines in Pediatric Patients: A Quality Improvement Project Within an Integrated Community Mental Health Setting

BACKGROUND

Approximately 14% to 20% of children and adolescents have a mental health problem. Atypical antipsychotic agents are used to treat behavioral, emotional, and mental health problems in children and adolescents. A discrepancy between best practices and actual practices exists.

OBJECTIVE

The purpose of this quality improvement project was to increase adherence above baseline, through implementation of a checklist, to recommended screening guidelines in children, ages 4 to 18, prescribed atypical antipsychotic agents over 12 weeks. Design/Results: Aggregate comparison of the mean ranks of scores were tested with the Mann-Whitney U test, U = 1,087.5, n₁ = n₂ = 70, total N =140, p < .001. Variables of body mass index, blood pressure, waist circumference, fasting glucose, fasting lipids, personal history, and family history were observed and tested using the chi-square with Fisher's exact tests and are significant at or above 99% confidence level ( p < .01).

CONCLUSION

Educating mental health providers, child and adolescent psychiatrists, and psychiatric mental health nurse practitioners on recommended screening guidelines and implementing a checklist had a measurable effect on increasing adherence to the recommended screening guidelines in a community mental health setting.

Providers' Behaviors and Beliefs on Prescribing Antipsychotic Medication to Children: A Qualitative Study

Fragmentation in behavioral and mental health care to children has resulted in suboptimal care and high rates of psychotropic medication use, especially antipsychotic medications (APM). A qualitative study, based on the Theory of Planned Behavior (TPB), aimed to better understand prescribing practices, barriers to optimal treatment, and potential interventions to safeguard the use of APM for children in Kentucky. The most common barrier to optimal care was access to mental health specialists. Social norms and pressure from families contribute to increased medication use. We identify promising interventions to safeguard the use of APM through the lens of the TPB.

Improving metabolic monitoring rate for young people aged 35 and younger taking antipsychotic medications to treat a psychosis: A literature review

Young people aged 35 and younger who are taking antipsychotic medications to treat a psychosis are a high risk for developing metabolic syndrome due to the adverse effects of the medications. This paper reports the finding of a review of literature to identify interventions to improve metabolic monitoring rates in this group. A review of 478 studies identified 15 articles which met the inclusion criteria. Five articles reported single-intervention studies and the remaining integrated two or more interventions to improve uptake level of metabolic monitoring. As metabolic syndrome can be detected early through metabolic monitoring in young people taking antipsychotics, early intervention is important to improve their physical health trajectory.

Increased Risk of Diabetes Among 6-24-Year-Olds Using Second Generation Antipsychotics

OBJECTIVES

The goal of this study was to estimate the association between use of second generation antipsychotics (SGAs) and type 2 diabetes (T2DM) among commercially insured children and young adults 6-24 years compared to users of non-SGA psychotropic medications.

METHODS

Using the Truven MarketScan Commercial Claims and Encounters Database, new users of SGA and non-SGA psychotropic medications (anxiolytics, antidepressants, hypnotics, and mood stabilizers) between July 1, 2009 and December 31, 2013 who were 6-24 years of age and had continuous coverage ≥180 days before their index date (i.e., date of first fill of SGA or non-SGA psychotic) were identified. SGA users were propensity score (PS) matched to non-SGA psychotropic users at a 1:1 ratio. Individuals were followed until diabetes diagnosis, discontinuation or switch from index medication, end of continuous coverage, or end of the study period. The Cox proportional hazards model was used to estimate the hazard ratio (HR) for incident T2DM for SGA users compared to non-SGA users.

RESULTS

A total of 45,289 SGA users and 932,336 non-SGA psychotropic users met inclusion criteria. In the PS matched sample, there were 102,028 patient-years of follow-up and median time to event was 202 days for SGA users (n = 43,407) and 290 days for non-SGA psychotropic users (n = 43,407). A total of 141 SGA users (33 cases per 10,000 patient-years) and 110 of the non-SGA psychotropic users (18 cases per 10,000 patient-years) developed T2DM. The SGA users had a 1.7 times higher risk of T2DM (HR 1.71, 95% confidence intervals [CI] 1.33-2.20) compared to non-SGA psychotropic users.

CONCLUSION

Risk of T2DM should be considered when evaluating the risk/benefit of SGA use among children and young adults. Future studies aimed at evaluating risk factors, diabetes prevention strategies, and effective management of the long-term consequences of T2DM in this vulnerable population are needed.

An Investigation of Cardiovascular Risks in a Group of Children and Adolescents Who Use Atypical Antipsychotics

This study was conducted to identify the metabolic parameters and body measurements associated with cardiovascular risks in a group of children and adolescents who as part of inpatient treatment received atypical antipsychotics at a psychiatric hospital in Turkey. Body mass indexes (BMIs), waist circumferences (WCs), diastolic blood pressures (DBPs), systolic blood pressures (SBPs) and heart rates (HRs) of the patients were evaluated during hospitalization and at discharge. A statistically significant difference was found among the mean BMIs, WCs, DBPs and HRs of the patients at the stages of their hospitalization and discharge (p < 0.05). On the basis of the study findings, it is recommended that mental health nurses evaluate these risk factors in children and adolescents and provide education on this subject to the patients and their families.

Concomitant Use of Atypical Antipsychotics With Other Psychotropic Medication Classes and the Risk of Type 2 Diabetes Mellitus

OBJECTIVE

More than half of youth treated with atypical antipsychotic (AAP) medications are also treated with concomitant antidepressants or stimulants. This study assessed the association between antidepressant or stimulant use concomitant with AAPs and the risk of incident type 2 diabetes mellitus (T2DM).

METHOD

Medicaid Analytic eXtract data were used to conduct a retrospective cohort study of youth (aged 5-20 years) who initiated AAP treatment. In AAP-treated youth, concomitant antidepressant (selective serotonin reuptake inhibitors [SSRI]/serotonin-norepinephrine reuptake inhibitors [SNRIs], tricyclic/other cyclic antidepressants [TCAs], and other antidepressants) or stimulant use was assessed. The risk of incident T2DM was estimated using discrete time failure models, adjusting for disease risk score estimated using >125 baseline and time-dependent covariates.

RESULTS

Among 73,224 AAP initiators, 43.0% had concomitant antidepressant use (76.4% were SSRI/SNRIs) and 43.8% had concomitant stimulant use. The study cohort had an average follow-up of 24.8 months (median = 22.0 months, interquartile range [IQR] = 10.0-38.0 months). In current AAP-treated youth, concomitant SSRI/SNRI (relative risk [RR] = 1.84, 95% CI = 1.30-2.59) or TCA use (RR = 2.75, 95% CI = 1.28-5.87) was associated with an increased risk of T2DM. By contrast, concomitant use of other antidepressants or stimulants with AAPs was not associated with an increased risk of T2DM. In concomitant users of AAPs and SSRI/SNRIs, the risk of T2DM increased with the duration of SSRI/SNRI use (RR = 2.35, 95% CI = 1.15-4.83 for ≥180 days vs. 1-180 days) as well as with the cumulative SSRI/SNRI dose (RR = 1.99, 95% CI = 1.08-3.67 for >2,700 mg vs. 1-2,700 mg fluoxetine dose equivalents), after adjusting for the duration and cumulative dose of AAP use. By contrast, in concomitant users of AAPs and stimulants, neither duration nor cumulative dose of stimulants was associated with an increased risk of T2DM.

CONCLUSION

In AAP-treated Medicaid-insured youth, concomitant SSRI/SNRI use was associated with a heightened risk of T2DM, which intensified with increasing duration and dose.

Second-Generation Antipsychotic Utilization and Metabolic Parameter Monitoring in an Inpatient Pediatric Population: A Retrospective Analysis

BACKGROUND

Second-generation antipsychotics (SGAs) are prescribed for a variety of indications and are strongly associated with adverse metabolic effects. Studies of pediatric outpatients have revealed several deficiencies in monitoring practices for adverse effects associated with SGAs.

OBJECTIVE

Our objective was to characterize SGA prescribing and metabolic parameter monitoring (MPM) in an inpatient pediatric population.

METHODS

Patients aged <18 years and discharged on SGA treatment between 1 November 2013 and 30 April 2014 from an inpatient psychiatric institution in Pittsburgh, PA, USA were included. Electronic medical records (EMRs) were reviewed for patient age and weight and for parameters used by the International Diabetes Federation (IDF) to define metabolic syndrome: waist circumference, fasting blood glucose, triglycerides, high-density lipoprotein, and blood pressure. The primary outcome was the percent of patients with completed MPM, defined as all parameters being available within the patient's EMR in any form, except estimates. Secondary outcomes included percent of patients with existing metabolic syndrome or obesity according to IDF criteria, average total daily dose of individual SGAs, and frequency of individual SGA utilization. Data were analyzed utilizing univariate descriptive statistics.

RESULTS

A total of 243 patients met inclusion criteria and were included in the analysis. For the primary outcome, 13.2% (n = 32) of patients had completed MPM for all parameters. Blood pressure was the most frequently documented parameter (n = 241; 99.2%), whereas waist circumference was the least (n = 67; 28%). Risperidone was the most commonly prescribed SGA (n = 99; 41%; average daily dose 1.92 mg).

CONCLUSIONS

Compared with outpatient studies, rates of documented MPM for certain parameters (i.e., fasting blood glucose, lipids) is higher for pediatric inpatients treated with SGAs. However, several monitoring deficiencies are still noted.

Antipsychotic Use and Metabolic Monitoring in Individuals with Developmental Disabilities Served in a Medicaid Medical Home

This study describes antipsychotic use and metabolic monitoring rates among individuals with developmental disabilities enrolled in a subspecialty medical home (N = 826). Four hundred ninety-nine participants (60.4 %) were taking antipsychotics, which was associated with male gender (p = 0.01), intellectual disability with and without autism spectrum disorder (p = 0.001 and p = 0.04, respectively), and inversely associated with the youngest and oldest age categories (p = 0.001 and p = 0.04, respectively). Among those taking antipsychotics, annual metabolic monitoring rates ranged from 89 % (lipids) to 99 % (weight). Age was positively associated with glucose (p < 0.001) and lipid monitoring (p < 0.001). Adult participants with dyslipidemia (p < 0.01), prediabetes/diabetes (p = 0.04), and hypertension (p = 0.02) were significantly more likely to obtain lipid monitoring. These values exceeded previously reported rates suggesting the importance of an integrated care model.

Metabolic monitoring in children 5 years of age and younger prescribed second-generation antipsychotic medications

INTRODUCTION

The objective of this article was to identify the rates of patients ≤5 years of age who received recommended monitoring before and after second-generation antipsychotic (SGA) initiation and had an SGA metabolic adverse effect (MAE).

METHODS

This was a retrospective cohort analysis conducted at Kaiser Permanente Colorado, an integrated health care delivery system, between January 1, 2002, and June 30, 2011. Commercially insured patients ≤5 years of age newly initiated on an SGA were included. Patients were followed for up to 3 years. Metabolic monitoring included lipid profile, blood glucose, blood pressure, and weight measurements. Patient characteristics and outcomes were described using descriptive statistics.

RESULTS

A total of 40 patients were included. Overall, 2 (5.0%) patients received all recommended baseline monitoring, and no (0.0%) patients received all recommended follow-up monitoring. Weight monitoring was completed most frequently with rates of completion of 57.5%, 95.0%, 85.0%, and 76.5% at baseline and years 1, 2, and 3, respectively. At least 1 MAE was identified in 14/40 (35.0%), 5/28 (17.9%), and 2/17 (11.8%) patients during years 1, 2, and 3, respectively. The most frequent MAE identified was weight gain. Among patients identified with at least 1 MAE, 4/14 (28.6%), 2/5 (40.0%), and 2/2 (100%) received a behavioral intervention during years 1, 2, and 3, respectively.

DISCUSSION

Overall, baseline and follow-up metabolic monitoring were poor. Future studies should focus on examining barriers to monitoring in order to improve health care quality.

Quality of care for Medicaid-enrolled youth with bipolar disorders

This study examined conformance to clinical practice guidelines for children and adolescents with bipolar disorders and identified patient and provider factors associated with guideline concordant care. Administrative records were examined for 4,047 Medicaid covered youth aged 5-18 years with new episodes of bipolar disorder during 2006-2010. Main outcome measures included 5 claims-based quality of care measures reflecting national treatment guidelines. Measures addressed appropriate pharmacotherapy, therapeutic drug monitoring, and psychosocial treatment. The results indicated that current treatment practices for youth diagnosed with bipolar disorder typically fall short of recommended practice guidelines. Although the majority of affected youth are treated with recommended first-line pharmacotherapy, only a minority receive therapeutic drug monitoring and/or psychotherapy of recommended duration, underscoring the need for quality improvement initiatives.

Mental Health Issues in Foster Care

Children in foster care have exceptional needs due to their histories of abuse, neglect, and increased exposure to violence. The rates of psychiatric symptoms and disorders, such as attention-deficit/hyperactivity disorder, posttraumatic stress disorder, and reactive attachment disorder, are much higher in children in foster care; furthermore, the rate of these children receiving psychotropic medications is 3 times that of children who are not in foster care. Pediatricians, in their role of providing a medical home, play a central role in safeguarding the physical and mental health of these children. By taking a trauma-informed approach to understanding the unique needs and gaps in their health care, pediatricians can improve the mental health and maximize outcome for children in foster care. [Pediatr Ann. 2016;45(10):e342-e348.].