Correlates of Stigma in People with Epilepsy.

BACKGROUND AND PURPOSE: Epilepsy is often associated with substantial stigma. This study evaluated clinical correlates of stigma in a sample of people living with epilepsy (PLWE) considered high risk due to frequent seizures or other negative health events. METHODS: Data were derived from an epilepsy self-management clinical trial. Standardized measures assessed socio-demographics, epilepsy stigma, epilepsy severity, self-efficacy, self-management competency, health literacy, depressive symptoms severity, functional status, social support and quality of life. RESULTS: There were 120 individuals, mean age of 41.73 (SD=17.08), 81 men (66.9%), and 79 (65.3%) African-American. Individual factors correlated with worse stigma w ere indicative of more severe or poorly controlled seizures (frequent seizures, worse seizure severity scores, more antiepileptic drugs), mental health comorbidity (worse depression severity, other comorbidities) and factors related to individual functioning and perceived competency in managing their health (health literacy, health functioning, self-efficacy, quality of life). Multivariable linear regression found that worse quality of life, and having a mental condition were associated with more stigma (ß=6.4 and 6.8, respectively), while higher self-efficacy, health literacy and social support were associated with less stigma (ß=-0.06, -2.1, and -0.3, respectively). These five variables explained 50% of stigma variation. CONCLUSIONS: Stigma burden can be substantial among PLWE and may vary depending on contextual factors such as mental health comorbidity. Care approaches that screen for psychiatric comorbidities, address low health literacy, institute promising self-management programs, and employ effective health communication strategies about epilepsy misconceptions, may reduce epilepsy related burden.

Health literacy and education level correlates of participation and outcome in a remotely delivered epilepsy self-management program.

SIGNIFICANCE: Health literacy, the ability to understand necessary health information to make proper health decisions, has been linked to greater frequency of hospitalizations. However, there is limited literature on the associations between health literacy and outcomes in patients with epilepsy, and thus, this secondary analysis investigates the associations between health literacy and outcomes in patients with epilepsy enrolled in the self-management intervention "Self-management for people with epilepsy and a history of negative events" (SMART). We examined the associations between higher health literacy and higher education level and outcomes of the SMART trial. METHODS: This is a secondary analysis of data from the SMART self-management intervention, where individuals were randomized to the SMART intervention or a 6-month waitlist (WL) control. Health literacy was assessed at baseline before randomization using the Rapid Estimate of Adult Literacy in Medicine (REALM-R). Education level was self-reported by participants at baseline. Pearson correlations between REALM-R scores and continuous demographic and clinical variables were conducted. Point-biserial Pearson correlations were computed for REALM-R and dichotomous variables. The effect of education on change in negative health events (NHEs) counts from baseline to six months was conducted using a linear regression. A logistic regression with health literacy and randomization arm as predictors and improvement in NHE (1 = improvement, 0 = no change or increased NHEs at 6 months) as the outcome was conducted. RESULTS: Lower education and lower income were significantly correlated with lower health literacy (p < 0.001 and p = 0.03). Higher education level was associated with a greater improvement in 6-month seizure counts (rs(105) = 0.29, p = 0.002), and a greater improvement in total 6-month NHEs (rs(95) = 0.20, p = 0.045). Health literacy was not associated with change in NHEs or with study retention. CONCLUSIONS: The SMART intervention appears effective for individuals regardless of health literacy competency. Nevertheless, individuals with higher levels of education have fewer epilepsy complications, and thus, those with limited education may still require additional support while participating in epilepsy self-management programs.

The Relationship Between Medication Attitudes and Medication Adherence Behavior in Adults With Bipolar Disorder.

The relationship between medication attitudes and adherence as well as reliable measures of medication attitudes need further study. This study examined the psychometric properties of the Attitudes Toward Mood Stabilizers Questionnaire (AMSQ) in bipolar participants and the relationship between medication attitudes and adherence, measured by the self-reported Tablets Routine Questionnaire (TRQ). Inclusion criteria included mood stabilizer treatment and 20% or more medication nonadherence. Measures were given pretreatment and posttreatment. Average age was 47 years; majority were female (69%), African American (67%), and unmarried (53%). AMSQ's test-retest reliability was ρ = 0.73 (p < 0.001). AMSQ correlated with TRQ (rs = 0.20, p < 0.01) at baseline. Factor analysis identified three factors: positive/favorable attitudes, negative/critical attitudes, and unintentional nonadherence. Change in AMSQ across time correlated with change in TRQ. The AMSQ is valid psychometrically and is sensitive to change. Medication attitudes are related to adherence behavior. Interventions should include targeting specific domains of medication attitudes, such as illness knowledge.

Differential Medication Attitudes to Antihypertensive and Mood Stabilizing Agents in response to an Automated Text-Messaging Adherence Enhancement Intervention.

OBJECTIVES: Individuals with serious mental illnesses such as bipolar disorder (BD) are at an increased risk for poor medication adherence compared to the general population. Individuals with BD also have high rates of chronic comorbid medical conditions like hypertension (HTN), diabetes, and cardiovascular disease. Cognitive-behavioral therapies often integrate strategies to improve medication adherence by targeting medication attitudes and self-efficacy, but the pathway toward behavior change needs further investigation. METHODS: This 3-month prospective, single-arm cohort study tested an automated SMS intervention entitled Individualized Texting for Adherence Building- Cardiovascular (iTAB-CV) in 38 participants with BD and HTN. The Tablets Routine Questionnaire (TRQ) measures the percentage of BD and HTN non-adherence over the past week and the past month. Attitudinal and habit measures including the Brief Illness Perception Questionnaire (Brief IPQ), the Medication Adherence Self-Efficacy Scale-Revised (MASES-R), the Self-Report Habit Index (SRHI), the Beliefs about Medicines Questionnaire (BMQ), and the Attitudes toward Mood Stabilizers Questionnaire (AMSQ) were given for BD and HTN medications. Correlational analyses were run to determine the associations between BD and HTN attitudinal and habit indices. Additionally, longitudinal analyses were conducted to determine if attitudes changed over time as a function of a 2-month mobile-health intervention. RESULTS: Illness attitudes towards BD were worse than towards HTN at the start of the study. Attitudes toward BD and towards mood-stabilizing drugs as well as antihypertensives improved following a mHealth intervention aimed at improving adherence. Furthermore, self-efficacy and habit strength for both BD and HTN drugs were correlated and were responsive to the intervention, with most of the change occurring after the first month of the intervention and not requiring the addition of the explicit reminders. CONCLUSION: Participants who received iTAB-CV showed improved attitudes towards BD and mood-stabilizing medication, and had an improvement in self-efficacy and habit strength towards taking both BD and HTN medications. Increased attention to mechanisms of change in mHealth interventions for adherence may facilitate impact. It should be noted that the methodology of the study limits drawing causal conclusions and suggests the need for a randomized control trial.

A systematic review of quantitative EEG as a possible biomarker in child psychiatric disorders.

Quantitative EEG (qEEG) has emerged as a potential intermediate biomarker for diagnostic clarification in mental illness. This systematic review examines published studies that used qEEG in youth with psychiatric illness between 1996 and 2017. We conducted a comprehensive database search of CINAHL, PubMed, and Cochrane using the following keywords: "quantitative EEG" and depression (MDD), anxiety, attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), eating disorder, conduct, substance use, schizophrenia, post-traumatic stress disorder, and panic disorder. Our search yielded 516 titles; 33 met final inclusion criteria, producing a total of 2268 youth aged 4-18. qEEG was most frequently studied as a potential diagnostic tool in pediatric mental illness; few studies assessed treatment response. Studies show higher theta/beta ratio in ADHD vs healthy controls (HC). The most consistent finding in ASD was decreased coherence in ASD vs HC. Studies show MDD has lower temporal coherence and interhemispheric coherence in sleep EEGs than HC. Further research is needed in the areas of mood, anxiety, ASD, and relationship to treatment. It remains unknown if abnormalities in qEEG are nonspecific markers of pediatric psychiatric illness or if they have the potential to differentiate types of psychopathology.

Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder.

Background: Biomarkers for psychiatric disorders in children and adolescents are urgently needed. This cross-sectional pilot study investigated quantitative electroencephalogram (qEEG), a promising intermediate biomarker, in pediatric patients with major depressive disorder (MDD) compared with healthy controls (HCs). We hypothesized that youth with MDD would have increased coherence (connectivity) and absolute alpha power in the frontal cortex compared with HC. Methods: qEEG was obtained in adolescents aged 14-17 years with MDD (n = 25) and age- and gender-matched HCs (n = 14). The primary outcome was overall coherence on qEEG in the four frequency bands (alpha, beta, theta, and delta). Other outcomes included frontal-only coherence, overall and frontal-only qEEG power, and clinician-rated measures of anhedonia and anxiety. Results: Average coherence in the theta band was significantly lower in MDD patients versus HCs, and also lower in frontal cortex among MDD patients. Seven node pairs were significantly different or trending toward significance between MDD and HC; all had lower coherence in MDD patients. Average frontal delta power was significantly higher in MDD versus HCs. Conclusions: Brain connectivity measured by qEEG differs significantly between adolescents with MDD and HCs. Compared with HCs, youth with MDD showed decreased connectivity, yet no differences in power in any frequency bands. In the frontal cortex, youth with MDD showed decreased resting connectivity in the alpha and theta frequency bands. Impaired development of a resting-state brain network (e.g., default mode network) in adolescents with MDD may represent an intermediate phenotype that can be assessed with qEEG.

One-year follow-up of a remotely delivered epilepsy self-management program in high-risk people with epilepsy.

OBJECTIVE: "Self-management for people with epilepsy and a history of negative health events" (SMART) is a novel group-format epilepsy self-management intervention demonstrated to reduce negative health events (NHEs) such as accidents, emergency department visits, and seizures in adults with epilepsy in a 6-month prospective randomized controlled trial (RCT); SMART also reduced depressive symptoms and improved health functioning and quality of life. This report describes the longer-term (12-month) post-efficacy RCT outcomes in adults with epilepsy who received SMART. METHODS: After completing a 6-month, prospective RCT that demonstrated efficacy of SMART vs 6-month waitlist control (WL), adults ≥18 years of age with epilepsy were followed for an additional 12 months. Individuals originally randomized to WL received the 8-week SMART intervention immediately following the conclusion of the RCT. For this long-term extension analysis, assessments were conducted at 24 weeks (the 6-month primary outcome time-point of the efficacy RCT), at 32 weeks for individuals originally randomized to WL, and at 48 weeks and 72 weeks for all individuals. Outcomes assessed included past 6-month NHE counts, depressive symptoms assessed with the 9-item Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS), and quality of life assessed with the 10-item Quality of Life in Epilepsy (QOLIE-10). RESULTS: At the beginning of this long-term observational period (24-week follow-up time point for the original RCT), there were 50 individuals in the group originally randomized to SMART and 52 originally randomized to WL. Mean age was 41.4 years, 70% women (N = 71), 64% (N = 65) African-American, and 8% Hispanic (N = 8). Study attrition from week 24 to week 72 was 8% in the arm originally randomized to SMART and 17% in the arm originally randomized to WL. During the 12-month observation period (24 weeks to 72 weeks), there were a total of 44 serious adverse events and 4 deaths, none related to study participation. There was no significant change in total past 6-month NHE counts in the group originally randomized to SMART, although the group had significantly reduced 6-month seizure counts. The group originally randomized to WL, who received SMART during this observational period, had a reduction in total NHE counts. The group originally randomized to SMART had relatively stable levels on other outcome variables except for a trend for improved MADRS (p = 0.08). In the group originally randomized to WL, there were significant improvements in PHQ-9 (p = 0.01), MADRS (p ≤ 0.01), and QOLIE-10 (p = 0.004). CONCLUSIONS: This post-RCT extension study suggests that adults with epilepsy who participate in the SMART intervention sustain clinical effects at 1-year follow-up and may have incremental improvements in seizure frequency and mood. Future research needs to identify opportunities for scale-up and outreach to other high-risk groups with epilepsy.

Understanding Aging in Bipolar Disorder by Integrating Archival Clinical Research Datasets.

OBJECTIVE: Although 25% of people with bipolar disorder (BD) are over age 60, there is a dearth of research on older age bipolar disorder (OABD). This report describes an initial effort to create an integrated OABD database using the U.S. National Institute of Mental Health Data Archive (NDA). Goals were to: 1) combine data from three BD studies in the United States that included overlapping data elements; 2) investigate research questions related to aims of the original studies; and 3) take an important first step toward combining existing datasets relevant to aging and BD. METHODS: Data were prepared and uploaded to the NDA, with a focus on data elements common to all studies. As appropriate, data were harmonized to select or collapse categories suitable for cross-walk analysis. Associations between age, BD symptoms, functioning, medication load, medication adherence, and medical comorbidities were assessed. The total sample comprised 451 individuals, mean age 57.7 (standard deviation: 13.1) years. RESULTS: Medical comorbidity was not significantly associated with either age or functioning and there did not appear to be an association between medication load, comorbidity, age, and adherence. Men and African-Americans were significantly more likely to have poor adherence. Both BD mania and depression symptoms were associated with functioning, but this differed across studies. CONCLUSION: Despite limitations including heterogeneity in study design and samples and cross-sectional methodology, integrated datasets represent an opportunity to better understand how aging may impact the presentation and evolution of chronic mental health disorders across the lifespan.

Outcomes of Psychoeducation and a Text Messaging Adherence Intervention Among Individuals With Hypertension and Bipolar Disorder.

OBJECTIVE: This study evaluated the feasibility, acceptability, and preliminary efficacy of psychoeducation plus an automated text messaging intervention (Individualized Texting for Adherence Building-Cardiovascular [iTAB-CV]) to improve adherence to antihypertensives and bipolar disorder medication. METHODS: After a psychoeducation program, iTAB-CV was administered for 2 months. In month 1, participants received one educational-motivational and one mood rating text daily. In month 2, medication reminders were added. RESULTS: The sample (N=38) was 74% African American and 53% women, with a mean±SD age of 51.53±9.06. Antihypertensive nonadherence decreased from a mean of 43%±23% to 21%±18% at 12 weeks (χ2=34.6, df=3, p<0.001). Systolic blood pressure decreased from a mean of 144.8±15.5 mmHg to 136.0±17.8 mmHg (χ2=17.6, df=3, p<.001). Retention was 100%. CONCLUSIONS: In this uncontrolled trial, participants were highly engaged and medication adherence and reduced systolic blood pressure were sustained after psychoeducation plus iTAB-CV. Because iTAB-CV is automated and delivered remotely, it has the potential to reach a large and challenging population.

A 6-Month, Prospective, Randomized Controlled Trial of Customized Adherence Enhancement Versus Bipolar-Specific Educational Control in Poorly Adherent Individuals With Bipolar Disorder.

OBJECTIVE: Nonadherence in bipolar disorder (BD) ranges from 20% to 60%. Customized adherence enhancement (CAE) is a brief, BD-specific approach that targets individual adherence barriers. This prospective, 6-month, randomized controlled trial conducted from October 2012 to July 2017 compared CAE versus a rigorous BD-specific educational program (EDU) on adherence, symptoms, and functional outcomes in poorly adherent individuals. METHODS: One hundred eighty-four participants with DSM-IV BD were randomized to CAE (n = 92) or EDU (n = 92). Primary outcome was adherence change measured by the Tablets Routine Questionnaire (TRQ) and BD symptoms measured by the Brief Psychiatric Rating Scale. Other outcomes were scores on the Global Assessment of Functioning, Montgomery-Asberg Depression Rating Scale, Young Mania Rating Scale, and Clinical Global Impressions Scale. Assessments were conducted at screening, baseline, 10 weeks, 14 weeks, and 6 months. RESULTS: The sample mean (SD) age was 47.40 (10.46) years; 68.5% were female, and 63.0% were African American. At screening, individuals missed a mean (SD) of 55.15% (28.22%) of prescribed BD drugs within the past week and 48.01% (28.46%) in the past month. Study attrition was < 20%. At 6 months, individuals in CAE had significantly improved past-week (P = .001) and past-month (P = .048) TRQ scores versus those in EDU. Past-week TRQ score improvement remained significant after adjustment for multiple comparisons. There were no treatment arm differences in BPRS scores or other symptoms, possibly related to low symptom baseline values. Baseline-to-6-month comparison showed significantly higher GAF scores (P = .036) for CAE versus EDU. Although both groups used more mental health services at 6 months compared to baseline, increase for CAE was significantly less than that for EDU (P = .046). CONCLUSIONS: Whereas both CAE and EDU were associated with improved outcomes, CAE had additional positive effects on adherence, functioning, and mental health resource use compared to EDU. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT00183495.

A 6-Month Prospective Trial of a Personalized Behavioral Intervention + Long-Acting Injectable Antipsychotic in Individuals With Schizophrenia at Risk of Treatment Nonadherence and Homelessness.

PURPOSE: Long-acting injectable antipsychotics (LAI) can optimize adherence for high-risk serious mental illness (SMI). This customized adherence-enhancement approach delivered by social worker interventionists was combined with LAI (CAE-L) of paliperidone palmitate for homeless, poorly adherent individuals with SMI. METHODS: This 6-month prospective, uncontrolled trial of CAE-L in 30 recently homeless individuals with SMI assessed adherence using the Tablets Routine Questionnaire, injection frequency, and SMI symptoms measured by the Positive and Negative Syndrome Scale, Brief Psychiatric Rating Scale, and Clinical Global Impressions. The Social and Occupational Functioning Assessment Scale measured social function. Standardized scales assessed extrapyramidal effects. FINDINGS: Patients' mean age was 43.6 (SD, 9.53) years, and they were mainly minorities (86.7% African American) and single/never married (72.4%). Rate of substance abuse within the past year was 40.0%, and rate of incarceration within the past 6 months was 32.1%. Four participants (13.3%) terminated the study prematurely. Customized adherence enhancement + LAI was associated with good adherence to LAI (92.9%) and improved adherence with oral drug as measured by Tablets Routine Questionnaire (P = 0.02). There were significant improvements in Positive and Negative Syndrome Scale (P < 0.01), Brief Psychiatric Rating Scale (P < 0.001), Clinical Global Impressions (P = 0.003), and Social and Occupational Functioning Assessment Scale (P = 0.005). There were no significant extrapyramidal effects. IMPLICATIONS: While findings must be tempered by the methodological limitations, CAE-L seems associated with multiple domains of improvement in homeless/recently homeless individuals with SMI. Adverse effects limit tolerability in some individuals, and not all will remain engaged. However, LAI combined with a patient-centered behavioral approach can improve outcomes for some high-risk individuals with SMI.

Adherence to Psychotropic and Nonpsychotropic Medication Among Patients With Bipolar Disorder and General Medical Conditions.

OBJECTIVE: This study assessed the relationship between nonadherence to psychotropic and nonpsychotropic medications for 88 patients nonadherent to medication treatment for bipolar disorder. METHODS: This descriptive study was part of a clinical trial promoting medication adherence. Nonadherence was defined as ≥ 20% of days with missed doses. RESULTS: A majority of the sample was female and had type I bipolar disorder; 49% had hypertension, 39% had hyperlipidemia, and 69% smoked; average body mass index was 34, and 65% were obese. The median proportion of days with missed doses was 53.6% (interquartile ratio [IQR]=38.10%-73.40%) for psychotropic medications and 33.93% (IQR=13.81%-51.91%) for nonpsychotropic medications. There was a significant difference between nonadherence to psychotropic and nonpsychotropic medication for the past week (z=-4.11, p<.001) and past month (z=-4.19, p<.001). More global psychopathology was associated with nonpsychotropic nonadherence. CONCLUSIONS: Psychotropic adherence was worse than nonpsychotropic adherence, yet both were poor. Improving adherence to cardiovascular medications is a reasonable pathway to improve cardiovascular health in this population.

Symptom severity, self-reported adherence, and electronic pill monitoring in poorly adherent patients with bipolar disorder.

OBJECTIVES: This analysis of screening and baseline data from an ongoing trial examined self-report versus automated adherence monitoring and assessed the relationship between bipolar disorder (BD) symptoms and adherence in 104 poorly adherent individuals. METHODS: Adherence was measured with the Tablets Routine Questionnaire (TRQ) and the Medication Event Monitoring System (MEMS). Symptoms were measured with the Montgomery-Åsberg Depression Rating Scale (MADRS), the Young Mania Rating Scale (YMRS), and the Brief Psychiatric Rating Scale (BPRS). RESULTS: The mean age of the sample was 46.3 years [standard deviation (SD) = 9.41 years], with 72% (n = 75) women and 71% (n = 74) African American subjects. Adherence improved from screening to baseline, with a mean missed drug proportion measured by TRQ of 61.43% (SD = 26.48%) versus a baseline mean of 46.61% (SD = 30.55%). The mean proportion of missed medication using MEMS at baseline was 66.43% (SD = 30.40%). The correlation between TRQ and MEMS was 0.47. The correlation between a single index drug and all BD medications was 0.95. Symptoms were generally positively correlated with TRQ (worse adherence = more severe symptoms), but in most instances was only at a trend level (p > 0.05), with the exception of the correlations between baseline TRQ and MADRS and BPRS, which were positive (r = 0.20 and r = 0.21, respectively) and significant (p ≤ 0.05). CONCLUSIONS: In patients with BD, monitoring increased adherence by 15%. MEMS identified 20% more non-adherence than self-report. Using a standard procedure to identify a single index drug for adherence monitoring may be one way to assess global adherence in patients with BD receiving polypharmacy treatment. Greater BD symptom severity may be a clinical indicator to assess for adherence problems.

Comparing Patient-Reported Outcomes Measure Information System Depression Scale with Legacy Depression Measures in a Community Sample of Older Adults with Varying Levels of Cognitive Functioning.

OBJECTIVE: This study evaluated the utility of Patient-Reported Outcomes Measure Information System Depression Scale (PROMIS-8a) compared with selected "Legacy" depression scales, including the Montgomery-Asberg Depression Rating Scale (MADRS), Geriatric Depression Scale (GDS), and GDS-Short Form (GDS-SF). Additionally, the measures' properties were assessed across levels of cognitive functioning. METHODS: This cross-sectional analysis was extracted from a prospective cohort study. PROMIS-8a and Legacy depression measures were administered to individuals aged at least 70 years grouped by cognitive status based on the Saint Louis University Mental Status Examination. McNemar tests were run to determine if measures categorized the absence or presence of depression differently and item analysis evaluated classification discrepancies. RESULTS: Sample mean age was 78, and most participants were women (71%), white (79%), with at least a high school education (89%). The percentage of individuals with at least mild depression was similar across measures (20.7% PROMIS-8a, 19.0% MADRS, 17.9% GDS, 13.9% GDS-SF). PROMIS-8a total score correlated moderately with MADRS (r = 0.56, df = 295, p <0.01), GDS (r = 0.68, df = 291, p <0.01), and GDS-SF (r = 0.60, df = 291, p <0.01), and predictive validity of the measures was similar. There were no significant mean differences on depression measures by cognitive status. CONCLUSION: Although all measures identified a similar percent of depressed individuals, the classification differed by measure. Item analysis showed that PROMIS-8a was more likely to identify feelings of dysphoria while the MADRS and GDS were more likely to identify physiologic aspects of depression. Given the brevity and ease of administration of the PROMIS-8a, it appears to be a useful depression screen for community-dwelling older adults.

Trajectories of medication attitudes and adherence behavior change in non-adherent bipolar patients.

OBJECTIVES: While medication treatment is necessary for the successful management of bipolar disorder (BD), non-adherence rates are up to 60%. Although medication attitudes are believed to be relevant to adherence behavior, few studies have investigated the trajectories of adherence change. This study evaluated attitudinal correlates of adherence conversion in 86 poorly adherent individuals with BD. METHODS: This secondary analysis pooled data from two uncontrolled prospective trials of customized adherence enhancement (CAE), a psychosocial intervention delivered over 4-6 weeks. Poor adherence was defined as missing at least 20% of prescribed BD medication based on the self-reported Tablets Routine Questionnaire (TRQ). The sample was dichotomized into converters who achieved good adherence (N=44) and non-converters who remained poorly adherent (N=21). Converters vs. non-converters were compared on adherence, attitudes, and symptoms at baseline, 6 weeks and 3 months. RESULTS: At baseline, converters and non-converters were similar demographically and clinically, but converters were less non-adherent (32% doses missed) than non-converters (59% missed). At 6 weeks, converters had better attitudes than non-converters. At 3 months, converters maintained improvements, but group differences were less pronounced due to some improvement in non-converters. Converters had better adherence at 3 months and trajectories differed for the groups on attitudes. Symptoms gradually improved for both converters and non-converters. CONCLUSIONS: Over two-thirds of poorly adherent BD patients who received CAE converted to good adherence. Improved medication attitudes may be a driver of improved adherence behavior and ultimately reduce BD symptoms.