Family-focused treatment for bipolar disorder in adults and youth.

Levels of familial expressed emotion during an acute episode are consistently associated with rates of recurrence among bipolar patients. This article briefly reviews the evidence for expressed emotion (EE) as a prognostic indicator and then illustrates family-focused treatment (FFT) with adults and adolescents suffering from bipolar disorder. FFT is a time-limited, modularized treatment consisting of psychoeducation, communication enhancement training, and problem-solving skills. Controlled trials indicate that FFT is an efficacious adjunct to pharmacotherapy for patients with bipolar disorder. We describe its recent application to early onset bipolar patients and include a clinical vignette

Prevalence and correlates of tobacco use in bipolar disorder: data from the first 2000 participants in the Systematic Treatment Enhancement Program.

OBJECTIVE: Only a few small descriptive studies have examined the prevalence and correlates of tobacco use among bipolar patients. We predicted that poorly controlled manic, depressed and mixed states, and the presence of psychotic symptoms, would be associated with a greater prevalence of smoking among patients with bipolar disorder. METHOD: We examined the prevalence of smoking in a cross-sectional sample of 1904 patients with bipolar disorder enrolled in the National Institute of Mental Health's Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) database. We also examined the relationship between smoking and other factors including: bipolar subtype, current clinical status, illness severity (e.g., number of prior mood episodes), age of bipolar onset, gender, education, socioeconomic status, and concurrent substance use. RESULTS: At STEP-BD program entry, 31.2% of patients reported that they were smokers. Patients who were male, less educated, and/or had lower income were more likely to be smokers (P<.01). Additionally, patients with rapid cycling, comorbid psychiatric disorders, and/or substance abuse, and those experiencing a current episode of illness were more likely to be smokers (P<.0001). More lifetime depressive and manic episodes as well as greater severity of depressive and manic symptoms were associated with smoking (P<.001). Use of atypical antipsychotic medications was more prevalent among smokers (P=.04). CONCLUSIONS: Clinical and demographic variables are associated with smoking in this sample of bipolar patients. Longitudinal analyses are needed to determine how mood and bipolar symptoms interact with smoking over the episodic course of bipolar disorder. Additional studies should focus on whether controlling bipolar symptoms is associated with cessation of smoking

Evaluation of Smoking Status Identification Using Electronic Health Records and Open-Text Information in a Large Mental Health Case Register

BACKGROUND:High smoking prevalence is a major public health concern for people with mental disorders. Improved monitoring could be facilitated through electronic health record (EHR) databases. We evaluated whether EHR information held in structured fields might be usefully supplemented by open-text information. The prevalence and correlates of EHR-derived current smoking in people with severe mental illness were also investigated. METHODS:All cases had been referred to a secondary mental health service between 2008-2011 and received a diagnosis of schizophreniform or bipolar disorder. The study focused on those aged over 15 years who had received active care from the mental health service for at least a year (N=1,555). The 'CRIS-IE-Smoking' application used General Architecture for Text Engineering (GATE) natural language processing software to extract smoking status information from open-text fields. A combination of CRIS-IE-Smoking with data from structured fields was evaluated for coverage and the prevalence and demographic correlates of current smoking were analysed. RESULTS:Proportions of patients with recorded smoking status increased from 11.6% to 64.0% through supplementing structured fields with CRIS-IE-Smoking data. The prevalence of current smoking was 59.6% in these 995 cases for whom this information was available. After adjustment, younger age (below 65 years), male sex, and non-cohabiting status were associated with current smoking status. CONCLUSIONS:A natural language processing application substantially improved routine EHR data on smoking status above structured fields alone and could thus be helpful in improving monitoring of this lifestyle behaviour. However, limited information on smoking status remained a challenge

Assessing fidelity of cognitive behavioral therapy in rural VA clinics: design of a randomized implementation effectiveness (hybrid type III) trial

BACKGROUND: Broadly disseminating and implementing evidence-based psychotherapies with high fidelity, particularly cognitive behavioral therapy (CBT), has proved challenging for many health-care systems, including the Department of Veterans Affairs, especially in primary care settings such as small or remote clinics. A computer-based tool (based on the coordinated anxiety learning and management (CALM) program) was designed to support primary care-based mental health providers in delivering CBT. The objectives of this study are to modify the CALM tool to meet the needs of mental health clinicians in veterans affairs (VA) community-based outpatient clinics (CBOCs) and rural "veterans", use external facilitation to implement CBT and determine the effect of the CALM tool versus a manualized version of CALM to improve fidelity to the CBT treatment model, and conduct a needs assessment to understand how best to support future implementation of the CALM tool in routine care. METHODS/DESIGN: Focus groups will inform the redesign of the CALM tool. Mental health providers at regional VA CBOCs; CBT experts; VA experts in implementation of evidence-based mental health practices; and veterans with generalized anxiety disorder, panic disorder, social anxiety disorder, posttraumatic stress disorder, "with or without" depression will be recruited. A hybrid type III design will be used to examine the effect of receiving CBT training plus either the CALM tool or a manual version of CALM on treatment fidelity. External facilitation will be used as the overarching strategy to implement both CBT delivery methods. Data will also be collected on symptoms of the targeted disorders. To help prepare for the future implementation of the CALM tool in VA CBOCs, we will perform an implementation need assessment with mental health providers participating in the clinical trial and their CBOC directors. DISCUSSION: This project will help inform strategies for delivering CBT with high fidelity in VA CBOCs to veterans with anxiety disorders and PTSD with or without depression. If successful, results of this study could be used to inform a national rollout of the CALM tool in VA CBOCs including providing recommendations for optimizing the adoption and sustained use of the computerized CALM tool among mental health providers in this setting. TRIAL REGISTRATION: ClinicalTrials.gov, NCT0248855