Medication Adherence in Pediatric Patients with Bipolar Disorder: A Systematic Review

Electronically Monitored Antidepressant Adherence in Adolescents with Anxiety Disorders: A Pilot Study

Background: Antidepressant medication adherence patterns are inconsistent in adolescents with anxiety and related disorders, and the clinical and demographic features predicting adherence are poorly understood. Methods: In an ongoing single-site prospective trial involving adolescents (aged 12-17) with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition anxiety disorders treated with escitalopram, adherence was measured for 12 weeks using electronic monitoring caps. Adherence patterns were examined using qualitative and unsupervised clustering approaches, and predictors of adherence were evaluated using logistic regression, with demographic (age, sex, and race) and clinical variables (e.g., anxiety severity [Pediatric Anxiety Rating Scale], irritability [Affective Reactivity Index], depressive symptoms [Children's Depression Rating Scale]). Results: Among adolescents (N = 33) aged 14.5 ± 1.8 years (64% female), four adherence patterns were identified: persistent adherence, intermittent adherence, early adherence-late nonadherence, and nonadherence. In a logistic model of a 5-day moving average measure of adherence, social anxiety disorder (β = -0.68 ± 0.19, p = 0.002) and separation anxiety disorder (β = -0.61 ± 0.18, p < 0.001) were associated with lower adherence. In contrast, panic disorder, attention-deficit/hyperactivity disorder, generalized anxiety disorder, and depressive symptoms were not associated with adherence. Baseline anxiety severity was linked to lower adherence (β = -0.199 ± 0.05, p < 0.001). Older age also reduced adherence (β = -0.342 ± 0.05, p < 0.001), with each additional year of age increasing time spent nonadherent by 5% (p < 0.001). Being female (β = 0.451 ± 0.17, p = 0.011) and expecting treatment to be efficacious (β = 0.092 ± 0.04, p = 0.011) increased adherence, while greater irritability was associated with nonadherence (β = -0.075 ± 0.03, p = 0.006). Conclusions: Antidepressant adherence is variable, with distinct patterns, and those with social and separation anxiety disorders were less likely to be adherent. Factors such as older age, severe anxiety, and greater irritability predicted lower adherence, while being female and expecting treatment efficacy were associated with better adherence. Interventions that address specific symptoms or enhance treatment expectations may improve adherence.

Adherence Rates and Barriers to Second-Generation Antipsychotic Medication Use in Youth with Bipolar Spectrum Disorders Who Have Overweight/Obesity

Objective: Youth with bipolar spectrum disorders (BSD) are frequently prescribed second-generation antipsychotics (SGAs). Nonadherence to treatment often results in increased mood symptoms and diminished quality of life. We examined SGA adherence rates and adherence barriers among youth who have overweight/obesity and are diagnosed with BSD enrolled in a multisite pragmatic clinical trial. Methods: SGA adherence and adherence barriers at baseline via patient- and caregiver report was assessed. Adherence was defined as taking ≥70% of prescribed SGA doses in the past week. The weighted Kappa statistic was used to measure child-caregiver agreement about adherence rates, barriers, and caregiver assistance. Regression analyses were used to examine associations of caregiver assistance, age, sex, race, insurance status, dosing frequency, and number of concomitant medications with adherence. Barriers to adherence were analyzed separately for youth and their caregivers, using logistic regression to assess associations between informant-reported barriers and informant-reported adherence. Results: Participants included 1485 patients and/or caregivers. At baseline, 88.6% of patients self-reported as adherent; 92.0% of caregivers reported their child was adherent. Concordance between patients and caregivers was moderate (k = 0.42). Approximately, 50% of the sample reported no adherence barriers. Frequently endorsed barriers included forgetting, side effects, being embarrassed to take medications, and preferring to do something else. Concordance between informants regarding adherence barriers was weak (k = 0.05-0.36). Patients and caregivers who did not endorse adherence barriers reported higher adherence than those who endorsed barriers. Male sex and having once daily dosing of medications were associated with lower adherence. Discussion: One-week patient- and caregiver-reported adherence was high in this sample. Half of the sample reported adherence barriers. Most commonly endorsed barriers were forgetting, side effects, being embarrassed, and preferring to do something else. Caregivers and patients have unique perspectives regarding adherence barriers. Understanding and addressing treatment barriers in clinical practice may facilitate adherence.

Examining Factors Associated With Medication Adherence in Youth With Bipolar Disorder

Objective

To assess medication adherence and factors associated with poor adherence in youth with bipolar disorder (BD) followed from adolescence through young adulthood.

Method

Participants with BD recruited through the Course and Outcome of Bipolar Youth (COBY) study were included in this study if they were prescribed psychotropic medications and had at least 3 follow-up assessments of medication adherence (N= 179, ages 12-36). Medication adherence had been evaluated for a median of 8 years using a questionnaire derived from the Coronary Artery Risk Development in Young Adults (CARDIA) study. For the longitudinal evaluation, adherence was measured as the percentage of follow-up assessments in which the participants did not endorse any of the nonadherence items included in the questionnaire. Concurrent and future predictors of poor adherence were assessed using both univariate and multivariate longitudinal analyses.

Results

Among the participants, 51% reported poor adherence in more than 50% of their follow-up assessments. Younger age, family conflicts, polypharmacy, lower functioning, greater severity of mood symptoms, and comorbid disorders were associated with poor adherence in the univariate analyses. In the multivariate analyses, comorbid ADHD was the single most influential factor associated with concurrent and future poor adherence in all age groups. Participants' most reported reasons for poor adherence were forgetfulness (56%), negative attitudes toward medication treatment (10.5%), and disturbed daily routine (7%).

Conclusions

Poor medication adherence is a significant problem in youth with BD with the most influential factor being the presence of comorbid ADHD. Thus, it is important to identify and appropriately treat comorbid ADHD to improve medication adherence and patients' prognosis. Providers should also recommend tools to enhance consistent medication intake and address patients' concerns and negative beliefs about their illness and treatment.

Hospitalization risk in pediatric patients with bipolar disorder treated with lurasidone vs. other oral atypical antipsychotics: a real-world retrospective claims database study

BACKGROUND

Real-world evidence on atypical antipsychotic (AAP) use in pediatric bipolar disorder is limited.

OBJECTIVE

To assess the risk of all-cause and psychiatric hospitalization among pediatric patients with bipolar disorder when treated with lurasidone versus other atypical antipsychotics (AAPs).

METHODS

This retrospective cohort study used commercial claims data (January 1, 2011 to June 30, 2017) to identify pediatric patients (age ≤17 years) with bipolar disorder treated with oral atypical antipsychotics (N = 16,201). The date of the first claim for an AAP defined the index date, with pre- and post-index periods of 180 days. Each month of the post-index period was categorized as monotherapy treatment with lurasidone, aripiprazole, olanzapine, quetiapine, or risperidone, no/minimal treatment, or other. The risk of all-cause and psychiatric hospitalizations (defined by a psychiatric diagnosis on the facility claim) was analyzed based on treatment in the current month, time-varying covariates (prior treatment-month classification, hospitalization in the prior month, emergency room visit in the prior month), and fixed covariates (age, gender, pervasive development disorder/mental retardation, disruptive behavior/conduct disorder, attention deficit hyperactivity disorder, depression, anxiety, adjustment disorder, obesity, diabetes, antidepressants, anxiolytics, other co-medication) using a marginal structural model.

RESULTS

Treatment with aripiprazole (OR = 1.60, 95% CI: 1.08-2.36) and olanzapine (OR = 1.68, CI: 1.03-2.71) was associated with significantly higher odds of all-cause hospitalizations compared to lurasidone, but treatment with quetiapine (OR = 1.03, CI: 0.69-1.54) or risperidone (OR = 1.02, CI: 0.68-1.53) was not. Similarly, treatment with aripiprazole (OR = 1.61, 95% CI: 1.08-2.38) and olanzapine (OR = 1.73, CI: 1.06-2.80) was associated with significantly higher odds of psychiatric hospitalizations compared to lurasidone, but treatment with quetiapine (OR = 1.02, CI: 0.68-1.54) or risperidone (OR = 1.01, CI: 0.67-1.51) was not.

CONCLUSION

In usual clinical care, pediatric patients with bipolar disorder treated with lurasidone had a significantly lower risk of all-cause and psychiatric hospitalizations when compared to aripiprazole and olanzapine, but not quetiapine or risperidone.