Modification of an Intervention to Improve Adherence in Adolescents and Young Adults With Bipolar Disorder.

Objective: Managing bipolar disorder (BD) is particularly challenging for adolescents and young adults (AYAs) ages 16 to 21. Few interventions exist that address self-management in AYAs with BD. Thus, this study aimed to modify the customized adherence enhancement behavioral intervention for AYAs through an iterative, patient-centered process. Method: The Obesity-Related Behavioral Intervention Trials (ORBIT) model was used for intervention development. In phase 1a, adherence barriers and facilitators were identified to refine intervention content. Phase 1b occurred following curriculum modification to ensure that the modified intervention was relevant and usable by the target population. Data were collected via focus groups and interviews with AYAs with BD, parents, and providers. Transcripts were analyzed using directed content analysis. Results: Phase 1a included focus groups/interviews with AYAs (n = 10), parents (n = 4), and providers (n = 9) who described the difficulties and successes in managing BD symptoms, improving adherence, and transitioning care from caregivers. Phase 1b included an advisory board composed of 8 phase 1a participants who provided feedback on modified session activities, module delivery, and curriculum. Phase 1b involved usability testing with new participants (n = 8), revealing the need for modifiable language based on developmental level, more engaging visual images, and confirmation that topics were salient to AYAs with BD. Conclusion: Though sample sizes were small and not representative of the population of AYAs with BD, the ORBIT methodology informed the adaptation of the customized adherence enhancement intervention to improve adherence in AYAs with BD. Important next steps are to conduct a pilot randomized clinical trial of customized adherence enhancement for AYAs.

A randomized controlled trial of customized adherence enhancement (CAE-E): study protocol for a hybrid effectiveness-implementation project.

BACKGROUND: Mood-stabilizing medications are a cornerstone of treatment for people with bipolar disorder, though approximately half of these individuals are poorly adherent with their medication, leading to negative and even severe health consequences. While a variety of approaches can lead to some improvement in medication adherence, there is no single approach that has superior adherence enhancement and limited data on how these approaches can be implemented in clinical settings. Existing data have shown an increasing need for virtual delivery of care and interactive telemedicine interventions may be effective in improving adherence to long-term medication. METHODS: Customized adherence enhancement (CAE) is a brief, practical bipolar-specific approach that identifies and targets individual patient adherence barriers for intervention using a flexibly administered modular format that can be delivered via telehealth communications. CAE is comprised of up to four standard treatment modules including Psychoeducation, Communication with Providers, Medication Routines, and Modified Motivational Interviewing. Participants will attend assigned module sessions with an interventionist based on their reasons for non-adherence and will be assessed for adherence, functioning, bipolar symptoms, and health resource use across a 12-month period. Qualitative and quantitative data will also be collected to assess barriers and facilitators to CAE implementation and reach and adoption of CAE among clinicians in the community. DISCUSSION: The proposed study addresses the need for practical adherence interventions that are effective, flexible, and designed to adapt to different settings and patients. By focusing on a high-risk, vulnerable group of people with bipolar disorder, and refining an evidence-based approach that will integrate into workflow of public-sector care and community mental health clinics, there is substantial potential for improving bipolar medication adherence and overall health outcomes on a broad level. TRIAL REGISTRATION: The study was registered on ClinicalTrials.gov NCT04622150 on November 9, 2020.

Long-Acting Injectable Antipsychotic Medication Plus Customized Adherence Enhancement in Poor Adherence Patients With Bipolar Disorder.

Objective: People with bipolar disorder (BD) often have difficulty with medication adherence. This pilot trial combined a behavioral customized adherence enhancement (CAE) approach with long-acting injectable (LAI) antipsychotic medication and assessed effects on adherence, BD symptoms, and functional status.Methods: This 6-month prospective, uncontrolled trial of the intervention (CAE with LAI) in 30 poorly adherent individuals with BD assessed adherence using the Tablets Routine Questionnaire (TRQ) and symptoms using the Brief Psychiatric Rating Scale (BPRS), Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HDRS), and Clinical Global Impressions (CGI). Functioning was assessed via the Social and Occupational Functioning Assessment Scale (SOFAS) and Global Assessment of Functioning (GAF). Assessments were conducted at screening, baseline, week 12, and week 24 (6 months). The LAI was aripiprazole once monthly. The study was conducted between April 2018 and May 2020.Results: The mean age of the sample was 49.5 years (SD = 9.3), and 56.7% were Black. Nine individuals (30%) terminated the study prematurely, 1 due to side effects (tremor). The mean LAI dose was 314.3 mg (SD = 96.4). The proportion of missed medications in the past week (mean TRQ) from screen to 24 weeks significantly improved from 50.1% (SD 24.8) to 16.9% (SD = 27.0) (P < .001), and past month TRQ improved from 40.6% (SD = 23.8) to 19.2% (SD = 24.0) (a trend for significance, P = .0599). TRQ change from baseline to 24 weeks was not significant. There were significant improvements on the BPRS (P < .001), MADRS (P = .01), YMRS (P < .001), CGI (P < .001), SOFAS (P < .001), and GAF (P < .001).Conclusion: A personalized intervention to address adherence barriers combined with LAI can improve recovery outcomes in high-risk individuals with BD.Trial Registration: ClinicalTrials.gov Identifier: NCT03408873.

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.

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 randomized controlled trial of remotely delivered group format epilepsy self-management versus waitlist control for high-risk people with epilepsy.

OBJECTIVE: Despite advances in care, many people with epilepsy have negative health events (NHEs) such as accidents, emergency department visits, and poor quality of life. "Self-management for people with epilepsy and a history of negative health events" (SMART) is a novel group format epilepsy self-management intervention. A community participatory approach informed the refinement of SMART, which was then tested in a 6-month randomized controlled trial of SMART (n = 60) versus waitlist control (WL, n = 60). METHODS: Participants were adults aged ≥18 years with epilepsy and an NHE within the past 6 months (seizure, accident, self-harm attempt, emergency department visit, or hospitalization). Assessments were conducted at screening, baseline, 10 weeks, and 24 weeks (6 months). Primary outcome was 6-month change in total NHE count. Additional outcomes included depression on the nine-item Patient Health Questionnaire and Montgomery-Asberg Depression Rating Scale, quality of life on the 10-item Quality of Life in Epilepsy, functioning on the 36-item Short-Form Health Survey, and seizure severity on the Liverpool Seizure Severity Scale. RESULTS: Mean age was 41.3 years (SD = 11.82), 69.9% were African American, 74.2% were unemployed, and 87.4% had an annual income < US$25 000; 57.5% had a seizure within 30 days of enrollment. Most NHEs were seizures. Six-month study attrition was 14.2% overall and similar between arms. Individuals randomized to SMART had greater reduction in total median NHEs from baseline to 6 months compared to WL (P = 0.04). SMART was also associated with improved nine-item Patient Health Questionnaire (P = 0.032), Montgomery-Asberg Depression Rating Scale (P = 0.002), 10-item Quality of Life in Epilepsy (P < 0.001), and 36-item Short-Form Health Survey (P = 0.015 physical health, P = 0.003 mental health) versus WL. There was no difference in seizure severity. SIGNIFICANCE: SMART is associated with reduced health complications and improved mood, quality of life, and health functioning in high-risk people with epilepsy. Additional efforts are needed to investigate potential for scale-up.

Assessing depression severity with a self-rated vs. rater-administered instrument in patients with epilepsy.

RATIONALE: Up to 30-50% of individuals with epilepsy have depressive symptoms, which often complicate seizure management and reduce overall quality of life. To identify and manage depressive symptoms appropriately, clinicians need standardized instruments that can accurately identify and monitor those with clinically significant depression. The self-reported 9-item Patient Health Questionnaire (PHQ-9) has been used relatively widely to screen and monitor depression in epilepsy. The rater-administered Montgomery-Asberg Depression Rating Scale (MADRS) is a rater-administered instrument widely used in depression treatment trials but less widely applied in epilepsy. This secondary analysis from 2 epilepsy self-management clinical trials compared depression severity ratings using the PHQ-9 and the MADRS instruments. METHODS: Data for this analysis were derived from pooled baseline and longitudinal data from 2 prospective epilepsy self-management randomized controlled trials (RCTs). Both RCTs assessed depression with the PHQ-9 and the MADRS. For this analysis, total depression severity scores and case classification of individuals with no/minimal, mild, moderate/moderately severe, and severe depression were assessed using both PHQ-9 and MADRS. RESULTS: The sample contained 164 individuals with epilepsy. Demographic and clinical variables between the 2 studies were generally similar. There were 107 women (64.8%), 106 African-Americans (64.2%), and 51 Whites (30.9%). Individuals had epilepsy for an average of 22.1 (SD: 15.5). Mean past 30-day seizure frequency at baseline was 3.1 (SD: 11.6). Baseline mean PHQ-9 was 10.7 (SD: 6.80) with depression severity of 32 (19.6%) not or minimally depressed, 47 (28.8%) mildly depressed, 37 (22.7%) moderately depressed, 27 (16.6%) moderately severely depressed, and 20 (12.3%) severely depressed. Baseline mean MADRS severity was 18.5 (SD: 11.3) with 30 (18.8%) not or minimally depressed, 27 (16.9%) mildly depressed, 92 (56.1%) moderately depressed, and 11 (6.9%) severely depressed. The correlation between total PHQ-9 and total MADRS was 0.843 (p < .01) although case classification by depression severity varied somewhat between the two instruments. CONCLUSIONS: Standardized measures to evaluate depression severity in people with epilepsy can help identify cases and monitor treatment. The PHQ-9 and MADRS both perform well in assessing depression in people with epilepsy although administration burden is less with PHQ-9 thus making it likely preferable for settings where time and epilepsy specialty resources are limited.

Clinical correlates of negative health events in a research sample with epilepsy.

AIMS: In spite of advances in care, people with epilepsy experience negative health events (NHEs), such as seizures, emergency department (ED) visits, and hospitalizations. Being able to identify characteristics that are associated with NHE risk can help inform care approaches that reduce complications and burden. This analysis using baseline data from a larger randomized epilepsy self-management clinical trial assessed the relationship between demographic and clinical variables vs. seizure-related complications among people with epilepsy. METHODS: Data were derived from a baseline sample of a larger prospective study of 120 individuals with epilepsy who experienced an NHE within the last 6months. Demographic characteristics, depression assessed with the 9-item Patient Health Questionnaire (PHQ-9) and the Montgomery-Asberg Depression rating scale (MADRS), quality of life assessed with the 10-item Quality of Life in Epilepsy Inventory (QOLIE-10), self-efficacy assessed the Epilepsy Self-Efficacy Scale (ESES), social support assessed with the Multidimensional Scale of Perceived Social Support (MSPSS), self-management assessed with the Epilepsy Self-Management Scale (ESMS), and stigma assessed with the Epilepsy Stigma Scale (ESS) were all examined in association with past 6-month NHE frequency and 30-day seizure frequency. RESULTS: Except for lower levels of education and lower levels of income being associated with higher 30-day and 6-month seizure frequency, demographic variables were generally not significantly associated with NHEs. Higher 30-day seizure frequency was associated with greater depression severity on PHQ-9 (p<0.01) and MADRS (p<0.01). Higher 6-month seizure frequency was also associated with greater depression severity on PHQ-9 (p<.001) and MADRS (p=0.03). Both 30-day and 6-month seizure frequency were significantly negatively associated with QOLIE-10 (p<0.001). Both 30day (p=0.01) and 6-month (p=0.03) seizure frequency were associated with worse stigma on ESS. Total NHE count was associated with more severe depression on PHQ-9 (p=0.02), and MADRS (p=0.04), worse quality of life on QOLIE-10 (p<0.01), and more stigma on ESS (p=0.03). CONCLUSIONS: Consistent with previous literature, more frequent seizures were associated with worse depression severity and quality of life. A finding that is less established is that higher seizure frequency is also associated with worse epilepsy-related stigma. Epilepsy self-management approaches need to address depression and stigma as well as seizure control.

Clinic Appointment Attendance in Adults with Serious Mental Illness and Diabetes.

OBJECTIVES: We assessed characteristics that may predict outpatient appointment attendance in outpatient medical clinics among patients comorbid for serious mental illness (SMI) and type 2 diabetes (DM). METHODS: Baseline covariate data from 200 individuals with SMI-DM enrolled in a randomized controlled trial (RCT) were used to examine characteristics associated with electronic health record-identified clinic appointment attendance using a generalized estimating equations approach. The analyses evaluated the relationship between clinic attendance and potentially modifiable factors including disease knowledge, self-efficacy, social support, physical health, and mental health, as well as demographic information. RESULTS: Demographic and mental health characteristics were most associated with clinic attendance in adults with SMI-DM. Physical health was not associated with clinic attendance. CONCLUSIONS: Information on clinical and demographic characteristics and factors potentially modifiable by psychological interventions may be useful in improving adherence to treatment among SMI-DM patients. It is our hope that clinicians and researchers will use these results to help tailor adherence-facilitating interventions among people at particular risk for poor engagement in care.

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.

Psychosocial Features of Clinically Relevant Patient Subgroups With Serious Mental Illness and Comorbid Diabetes.

OBJECTIVE: Care for people with serious mental illness and diabetes is complicated by clinical heterogeneity. This cross-sectional analysis of 200 individuals with comorbid serious mental illness and diabetes explored differentiation between patient subgroups that were characterized on the basis of selected dimensions within a biopsychosocial framework. METHODS: Relationships between self-efficacy, treatment expectation, social support, and depression were first assessed via bivariate Spearman correlations among 200 individuals participating in a randomized controlled trial who had diabetes along with major depression, bipolar disorder, or schizophrenia. Next, latent profile analyses were conducted to determine underlying subgroups on the basis of these variables. The resultant groups were compared on diabetes control, function, and symptoms. RESULTS: Two subgroups emerged. One had more severe psychiatric symptoms, low scores on other psychosocial variables, and worse diabetes control. The other had low levels of psychiatric symptoms, better scores on other variables, and better diabetes control. CONCLUSIONS: Symptom presentation and internal and external resources appeared to be related to diabetes control for people with comorbid diabetes and serious mental illness. Care approaches need to go beyond standard education and consider biopsychosocial variables.

A Nursing Approach to Self-Management Education for Individuals With Mental Illness and Diabetes.

Patients with serious mental illness (SMI) and diabetes often seek care in primary care settings and have worse health outcomes than patients who have either illness alone. Individual, provider, and system-level barriers present challenges to addressing both psychiatric and medical comorbidities. This article describes the feasibility, acceptability, and implementation of Targeted Training and Illness Management (TTIM), a self-management intervention delivered by trained nurse educators and peer educators to groups of individuals with SMI and diabetes to improve self-management of both diseases. TTIM is intended to be delivered in a primary care setting. Findings are intended to support the future development of nurse-led programs within the primary care setting that teach self-management to individuals with concurrent SMI and diabetes. This approach supports both adaptability and flexibility in delivering the intervention. Interventions such as TTIM can provide self-management skills, accommodate people with both SMI and diabetes in primary care settings such as patient-centered medical homes, and address known barriers to access.

Recruiting and Retaining Individuals with Serious Mental Illness and Diabetes in Clinical Research: Lessons Learned from a Randomized, Controlled Trial.

Recruitment and retention of individuals with serious mental illness (SMI) and comorbid diabetes mellitus (DM) in research studies can be challenging with major impediments being difficulties reaching participants via telephone contact, logistic difficulties due to lack of transportation, ongoing psychiatric symptoms, and significant medical complications. Research staff directly involved in recruitment and retention processes of this study reviewed their experiences. The largest barriers at the macro, mediator, and micro levels identified in this study were inclement weather, transportation difficulties, and intermittent and inaccessible telephone contact. Barrier work-around practices included using the health system's EHR to obtain current phone numbers, providing transportation assistance (bus passes or parking reimbursement), and flexible scheduling of appointments. Suggestions are intended to assist in planning for recruitment and retention strategies.

A technology-enabled adherence enhancement system for people with bipolar disorder: results from a feasibility and patient acceptance analysis.

OBJECTIVE: As poor medication adherence is common in bipolar disorder (BD), technology-assisted approaches may help to monitor and enhance adherence. This study evaluated preliminary feasibility, patient satisfaction and effects on adherence, BD knowledge, and BD symptoms associated with the use of a multicomponent technology-assisted adherence enhancement system. METHODS: This prospective study tested the system in five BD patients over a 15-day period. System components included: 1) an automated pill cap with remote monitoring sensor; 2) a multimedia adherence enhancement program; and 3) a treatment incentive program. This study evaluated system usability, patient satisfaction and effects on adherence (Morisky scale), knowledge (treatment knowledge test [TKT]), and symptoms (internal state scale [ISS]). RESULTS: Mean age of the sample was 62 years, 4/5 (80%) Caucasian, and 4/5 (80%) single/divorced or widowed. Most participants (4/5, 80%) were on a single BD medication. Participants had BD for an average of 21 years. Challenges included attaching the pill sensor to standard pharmacy bottles for individuals using very large pill containers or those with multiday pill boxes. Three of five (60%) individuals completed the full 15-day period. Usability scores were high overall. Mean Morisky scores improved. Means on all four subscales of the ISS were all in the direction of improvement. On the TKT, there was a 40% increase in mean scores. CONCLUSION: A multicomponent technology-assisted BD adherence enhancement system is feasible. Challenges include accommodating multiple types of pill containers and monitoring multiple drugs simultaneously. The system can also generate adherence information that is potentially useful for treatment planning.

Asenapine in the treatment of older adults with bipolar disorder.

OBJECTIVE: In spite of growing numbers of older people, there are few treatment studies on late-life bipolar disorder (BD). This was a 12-week prospective, open-label trial to assess efficacy and tolerability of adjunct asenapine in non-demented older adults (≥ 60 years) with sub-optimal previous response to BD treatments. METHODS: Asenapine was initiated at 5 mg/day and titrated as tolerated. Effects on global psychopathology were measured with Clinical Global Impression, bipolar version (CGI-BP), and the Brief Psychiatric Rating Scale (BPRS). Mood polarity severity was measured with the Hamilton Depression Rating Scale, Montgomery Asberg Depression Rating Scale, and Young Mania Rating Scale. Other outcomes included the World Health Organization Disability Assessment Schedule II. RESULTS: Fifteen individuals were enrolled (mean age 68.6, SD 6.12; 53% female; 73% Caucasian, 13% African American, and 7% Asian). There were 4/15 (27%) individuals who prematurely terminated the study, whereas 11/15 (73%) completed the study. There were significant improvements from baseline on the BPRS (p < 0.05), on CGI-BP overall (p < 0.01), and on CGI-BP mania (p < 0.05) and depression (p < 0.01) subscales. The mean dose of asenapine was 11.2 (SD 6.2) mg/day. The most common reported side effects were gastrointestinal discomfort (n = 5, 33%), restlessness (n = 2, 13%), tremors (n = 2, 13%), cognitive difficulties (n = 2, 13%), and sluggishness (n = 2, 13%). CONCLUSIONS: Older people with BD had global improvements on asenapine. Most reported adverse effects were mild and transient, but adverse effects prompted drug discontinuation in just over one quarter of patients. Although risks versus benefits in older people must always be carefully considered, asenapine may be a treatment consideration for some non-demented geriatric BD patients.

Prospective trial of customized adherence enhancement plus long-acting injectable antipsychotic medication in homeless or recently homeless individuals with schizophrenia or schizoaffective disorder.

BACKGROUND: Treatment nonadherence in people with schizophrenia is associated with relapse and homelessness. Building on the usefulness of long-acting medication and our work in psychosocial interventions to enhance adherence, we conducted a prospective uncontrolled trial of customized adherence enhancement (CAE) plus long-acting injectable antipsychotic (LAI) using haloperidol decanoate in 30 homeless or recently homeless individuals with DSM-IV-defined schizophrenia or schizoaffective disorder. METHOD: Participants received monthly CAE and LAI (CAE-L) for 6 months. Primary outcomes were adherence, as measured by the Tablets Routine Questionnaire, and housing status. Secondary outcomes included psychiatric symptoms, functioning, side effects, and hospitalizations. The study was conducted from July 2010 to December 2012. RESULTS: The mean age of participants was 41.8 years (SD = 8.6); they were mainly minorities (90%, n = 27 African-American) and mainly single/never married (70%, n = 21). Most (97%, n = 29) had past or current substance abuse and had been incarcerated (97%, n = 29). Ten individuals (33%) terminated the study prematurely. CAE-L was associated with good adherence to LAI (at 6 months, 76%) and dramatic improvement in oral medication adherence, which changed from missing 46% of medication at study enrollment to missing only 10% at study end (P = .03). There were significant improvements in psychiatric symptoms (P < .001) and functioning (P < .001). Akathisia was a major side effect with LAI. CONCLUSIONS: While interpretation of findings must be tempered by the methodological limitations, CAE-L appears to be associated with improved adherence, symptoms, and functioning in homeless or recently homeless individuals with schizophrenia or schizoaffective disorder. Additional research is needed on effective and practical approaches to improving health outcomes for homeless people with serious mental illness. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01152697.

Six-month outcomes of customized adherence enhancement (CAE) therapy in bipolar disorder.

BACKGROUND: There are few psychosocial interventions specifically focused on improved treatment adherence in people with bipolar disorder (BD). Customized adherence enhancement (CAE) is a needs-based, manualized approach intended to improve medication adherence in individuals with BD. This was a six-month prospective trial of a CAE among 43 medication non-adherent individuals with BD who were receiving treatment in a community mental health clinic (CMHC). METHODS: CAE was flexibly administered in modules applied as indicated by an initial adherence vulnerabilities screening. Screening identified reasons for non-adherence and modules were then administered using pre-set criteria. CAE effects were evaluated at six-week, three-month, and six-month follow-up. The six-month follow-up was our primary time point of interest. The primary outcome was change from baseline in adherence using the Tablets Routine Questionnaire (TRQ) and pill counts. Secondary outcomes included change from baseline in BD symptoms [Hamilton Depression Rating Scale (HAM-D), Young Mania Rating Scale (YMRS), and Brief Psychiatric Rating Scale (BPRS)]. RESULTS: Subjects completed 86% of scheduled sessions, with only two individuals (5%) not participating in any sessions. The number of dropouts at six months was 12 (28%). Mean baseline non-adherence by TRQ was 48% [standard error (SE) 4.8%] missed tablets within the previous week and 51% (4.1%) missed tablets within the previous month. At six-month follow-up, mean TRQ non-adherence improved to 25% (6.8%) missed tablets for the previous week (p = 0.002) and 21% (5.5%) for the previous month (p < 0.001). Symptoms improved, with a change in the baseline mean (SE) BPRS of 43.6 (1.8) versus an endpoint of 36.1 (2.3) (p = 0.001), and baseline mean (SE) HAM-D of 17.8 (1.1) versus an endpoint of 15.3 (1.6) (p = 0.044). CONCLUSION: CAE was associated with improvements in adherence, symptoms, and functional status. Controlled trials are needed to confirm these preliminary findings.

Best practices: Optimizing care for people with serious mental illness and comorbid diabetes.

Diabetes and obesity among patients with serious mental illness are common. Use of second-generation antipsychotics compounds risk, and widely prevalent unhealthy behaviors further contribute to negative outcomes. This column describes Targeted Training in Illness Management, a group-based psychosocial treatment that blends psychoeducation, problem identification, goal setting, and behavioral modeling and reinforcement. The intervention has been adapted to the primary care setting and is targeted at individuals with serious mental illness and diabetes. A key feature of the intervention is the use of peer educators with serious mental illness and diabetes to teach and model self-management. Promising results from a 16-week trial are reported.

Illness experience and reasons for nonadherence among individuals with bipolar disorder who are poorly adherent with medication.

AIM: Nonadherent individuals are the most likely to avoid participating in research studies, thus limiting potential opportunities to develop evidence-based approaches for adherence enhancement. This mixed-method analysis evaluated factors related to adherence among 20 poorly adherent community mental health clinic patients with bipolar disorder (BD). METHODS: Illness experience was evaluated with qualitative interview. Quantitative assessments measured symptoms (Hamilton Depression Rating Scale, Young Mania Rating Scale, Brief Psychiatric Rating Scale), adherence behavior, and treatment attitudes. Poor adherence was defined as missing 30% or more of medication. RESULTS: Minorities (80%), unmarried individuals (95%), and those with substance abuse (65%) predominated in this nonadherent group of patients with BD. Individuals were substantially depressed (mean Hamilton Depression Rating Scale, 19.2), had at least some manic symptoms (mean Young Mania Rating Scale, 13.6), and had moderate psychopathology (mean Brief Psychiatric Rating Scale, 41.2). Rates of missed medications were 41% to 43%. Forgetting to take medications was the top reason for nonadherence (55%), followed by side effects (20%). Disorganized home environments (30%), concern regarding having to take long-term medications (25%) or fear of side effects (25%), and insufficient information regarding BD (35%) were relatively common. Almost one third of patients had individuals in their core social network who specifically advised against medication. Access problems included difficulty paying for medications among more than half of patients. Interestingly, patients reported good relationships with their providers. CONCLUSIONS: Forgetting to take medication and problems with side effects are primary drivers of nonadherence. Lack of medication routines, unsupportive social networks, insufficient illness knowledge, and treatment access problems may likewise affect overall adherence. Complementary quantitative and qualitative data collection can identify reasons for nonadherence and may inform specific clinical approaches to enhance adherence.