Edna Fuentes-Casiano

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.

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.

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.

Asenapine in the treatment of older adults with bipolar disorder

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.

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.

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.

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.

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.

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.

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.