Cognitive-behavioural therapy for bipolar disorder

A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial

Background

Bipolar disorder is a severe mental illness with high morbidity and mortality rates. Even with pharmacological treatment, frequent recurrence of episodes, long episode durations, and persistent interepisode symptoms are common and disruptive. Combining psychotherapy with pharmacotherapy improves outcomes; however, many individuals with bipolar disorder do not receive psychotherapy. Mental health technologies can increase access to self-management strategies derived from empirically supported bipolar disorder psychotherapies while also enhancing treatment by delivering real-time assessments, personalized feedback, and provider alerts. In addition, mental health technologies provide a platform for self-report, app use, and behavioral data collection to advance understanding of the longitudinal course of bipolar disorder, which can then be used to support ongoing improvement of treatment.

Objective

A description of the theoretical and empirically supported framework, design, and protocol for a randomized controlled trial (RCT) of LiveWell, a smartphone-based self-management intervention for individuals with bipolar disorder, is provided to facilitate the ability to replicate, improve, implement, and disseminate effective interventions for bipolar disorder. The goal of the trial is to determine the effectiveness of LiveWell for reducing relapse risk and symptom burden as well as improving quality of life (QOL) while simultaneously clarifying behavioral targets involved in staying well and better characterizing the course of bipolar disorder and treatment response.

Methods

The study is a single-blind RCT (n=205; 2:3 ratio of usual care vs usual care plus LiveWell). The primary outcome is the time to relapse. Secondary outcomes are percentage time symptomatic, symptom severity, and QOL. Longitudinal changes in target behaviors proposed to mediate the primary and secondary outcomes will also be determined, and their relationships with the outcomes will be assessed. A database of clinical status, symptom severity, real-time self-report, behavioral sensor, app use, and personalized content will be created to better predict treatment response and relapse risk.

Results

Recruitment and screening began in March 2017 and ended in April 2019. Follow-up ended in April 2020. The results of this study are expected to be published in 2022.

Conclusions

This study will examine whether LiveWell reduces relapse risk and symptom burden and improves QOL for individuals with bipolar disorder by increasing access to empirically supported self-management strategies. The role of selected target behaviors (medication adherence, sleep duration, routine, and management of signs and symptoms) in these outcomes will also be examined. Simultaneously, a database will be created to initiate the development of algorithms to personalize and improve treatment for bipolar disorder. In addition, we hope that this description of the theoretical and empirically supported framework, intervention design, and study protocol for the RCT of LiveWell will facilitate the ability to replicate, improve, implement, and disseminate effective interventions for bipolar and other mental health disorders.

Trial Registration

ClinicalTrials.gov NCT03088462; https://www.clinicaltrials.gov/ct2/show/NCT03088462

International Registered Report Identifier (IRRID)

DERR1-10.2196/30710

Early intervention for bipolar disorder - Do current treatment guidelines provide recommendations for the early stages of the disorder?

BACKGROUND

Interventions early in the course of bipolar disorder (BD) may have the potential to limit its functional and symptomatic impact. However, the implementation of specific early interventions for BD has been limited which may at least partly be due to the lack of guidelines focused on the early illness stages. We therefore aimed to review the current recommendations for early stage BD from clinical practice guidelines.

METHODS

We searched PubMED and PsychINFO for clinical guidelines for BD published in the ten years prior to 1 November 2018. Recommendations from identified guidelines that addressed early stage BD or first episode mania were consolidated and compared. We also reviewed the guidelines relating to adolescents with BD to complement the guidelines related to those in the early illness course.

RESULTS

We identified fourteen international and national guidelines on BD or affective psychoses. Most guidelines contained a separate section on adolescents, but only a few referred specifically to early stage BD. There were no consistent recommendations for early stage disorder, except with respect to the indications for maintenance medication treatments. For adolescents, there was a consistent recommendation for the use of second generation antipsychotics for treating acute mania.

LIMITATION

The main limitation is that the identified guidelines did not include primary data that clearly separated illness and developmental stages.

CONCLUSIONS

There is a lack of emphasis on early BD among widely-respected current clinical guidelines, likely reflecting the dearth of primary data. Future evidence or consensus-based recommendations could significantly inform clinical practice for this population.

Feasibility and acceptability of integrated psychological therapy versus treatment as usual for people with bipolar disorder and co-morbid alcohol use: A single blind randomised controlled trial

BACKGROUND

Alcohol use is a common problem in bipolar disorder (BD) and evidence indicates more promising outcomes for alcohol use than other substances. No trials have evaluated individual integrated motivational interviewing and cognitive behaviour therapy (MI-CBT) for problematic alcohol use in BD. We therefore assessed the feasibility and acceptability of a novel MI-CBT intervention for alcohol use in BD.

METHODS

A single blind RCT was conducted to compare MI-CBT plus treatment as usual (TAU) with TAU only. MI-CBT was delivered over 20 sessions with participants followed up at 3, 6, 9 and 12 months post-randomisation. Primary outcomes were the feasibility and acceptability of MI-CBT (recruitment to target, retention to follow-up and therapy, acceptability of therapy and absence of adverse events). We also conducted preliminary analyses of alcohol and mood outcomes (frequency and severity of alcohol use and time to mood relapse).

RESULTS

44 participants were recruited with 75% retention to 6 and 12 months follow-up. Therapy participants attended a mean of 17.6 (SD 4.5) sessions. Therapy alliance and treatment fidelity were acceptable. Qualitative interviews indicated the intervention was experienced as collaborative, and helpful, in addressing mood and alcohol issues, although risk of overconfidence following therapy was also identified. Clinical outcomes did not differ between arms at 12 months follow-up.

LIMITATIONS

As a feasibility and acceptability trial any secondary results should be treated with caution.

CONCLUSIONS

Integrated MI-CBT is feasible and acceptable, but lack of clinical impact, albeit in a feasibility study, suggests need for further development. Potential adaptations are discussed.

Integrated psychological therapy for people with bipolar disorder and co-morbid alcohol use: A feasibility and acceptability randomised controlled trial

BACKGROUND

Co-morbid substance misuse, particularly alcohol, is common in bipolar disorder (BD) and associated with worse treatment outcomes. Research into psychological interventions for substance misuse in BD is at an early stage and no studies have specifically targeted problematic alcohol use. This paper describes the context and protocol for a feasibility and acceptability randomised controlled trial (RCT) evaluating a novel intervention combining motivational interviewing and cognitive behavioural therapy (MI-CBT) for participants with BD and problematic alcohol use, developed in collaboration with people with lived experience of both issues.

METHODS AND DESIGN

An RCT will assess the feasibility and acceptability of MI-CBT in addition to treatment as usual (TAU) compared with TAU alone. Participants will be recruited from across the North West of England through NHS services and self-referral. The primary outcomes will be the feasibility and acceptability of the intervention assessed by recruitment to target, adherence to intervention, retention rate at follow-up, absence of adverse events and qualitative analysis of participants' reported experiences of intervention. The effect size of the impact of the intervention on alcohol use and mood outcomes will also be estimated. In addition, we will explore a number of potential process variables in therapy.

DISCUSSION

This is the first RCT evaluating MI-CBT for BD and problematic alcohol use. Given the prevalence and impact of alcohol problems in BD this novel integrated intervention may have potential to offer important improvements in clinical and functional outcomes.

Bipolar disorders

Bipolar disorders are chronic and recurrent disorders that affect >1% of the global population. Bipolar disorders are leading causes of disability in young people as they can lead to cognitive and functional impairment and increased mortality, particularly from suicide and cardiovascular disease. Psychiatric and nonpsychiatric medical comorbidities are common in patients and might also contribute to increased mortality. Bipolar disorders are some of the most heritable psychiatric disorders, although a model with gene-environment interactions is believed to best explain the aetiology. Early and accurate diagnosis is difficult in clinical practice as the onset of bipolar disorder is commonly characterized by nonspecific symptoms, mood lability or a depressive episode, which can be similar in presentation to unipolar depression. Moreover, patients and their families do not always understand the significance of their symptoms, especially with hypomanic or manic symptoms. As specific biomarkers for bipolar disorders are not yet available, careful clinical assessment remains the cornerstone of diagnosis. The detection of hypomanic symptoms and longtudinal clinical assessment are crucial to differentiate a bipolar disorder from other conditions. Optimal early treatment of patients with evidence-based medication (typically mood stabilizers and antipsychotics) and psychosocial strategies is necessary.

Episode forecasting in bipolar disorder: Is energy better than mood?

OBJECTIVE

Bipolar disorder is a severe mood disorder characterized by alternating episodes of mania and depression. Several interventions have been developed to decrease high admission rates and high suicides rates associated with the illness, including psychoeducation and early episode detection, with mixed results. More recently, machine learning approaches have been used to aid clinical diagnosis or to detect a particular clinical state; however, contradictory results arise from confusion around which of the several automatically generated data are the most contributory and useful to detect a particular clinical state. Our aim for this study was to apply machine learning techniques and nonlinear analyses to a physiological time series dataset in order to find the best predictor for forecasting episodes in mood disorders.

METHODS

We employed three different techniques: entropy calculations and two different machine learning approaches (genetic programming and Markov Brains as classifiers) to determine whether mood, energy or sleep was the best predictor to forecast a mood episode in a physiological time series.

RESULTS

Evening energy was the best predictor for both manic and depressive episodes in each of the three aforementioned techniques. This suggests that energy might be a better predictor than mood for forecasting mood episodes in bipolar disorder and that these particular machine learning approaches are valuable tools to be used clinically.

CONCLUSIONS

Energy should be considered as an important factor for episode prediction. Machine learning approaches provide better tools to forecast episodes and to increase our understanding of the processes that underlie mood regulation.

Bipolar disorder

Bipolar disorder is a recurrent chronic disorder characterised by fluctuations in mood state and energy. It affects more than 1% of the world's population irrespective of nationality, ethnic origin, or socioeconomic status. Bipolar disorder is one of the main causes of disability among young people, leading to cognitive and functional impairment and raised mortality, particularly death by suicide. A high prevalence of psychiatric and medical comorbidities is typical in affected individuals. Accurate diagnosis of bipolar disorder is difficult in clinical practice because onset is most commonly a depressive episode and looks similar to unipolar depression. Moreover, there are currently no valid biomarkers for the disorder. Therefore, the role of clinical assessment remains key. Detection of hypomanic periods and longitudinal assessment are crucial to differentiate bipolar disorder from other conditions. Current knowledge of the evolving pharmacological and psychological strategies in bipolar disorder is of utmost importance.

Candidate Risks Indicators for Bipolar Disorder: Early Intervention Opportunities in High-Risk Youth

BACKGROUND

Psychiatric illnesses like bipolar disorder are increasingly understood to be neurodevelopmental disorders with clinical, psychological, and biological indicators recognizable long before the emergence of the full-blown syndromes.

METHODS

This paper is a selective review of findings from studies of high-risk children of affected parents that inform the knowledge of illness risk and development markers of bipolar disorder. We specifically focus on candidate clinical, biological, and psychological risk indicators that could serve as targets for future early intervention and prevention studies.

RESULTS

There is convergent evidence from prospective studies that bipolar disorder typically debuts as depressive episodes after puberty. In some high-risk children, sleep and anxiety disorders precede mood disorders by several years and reflect an increased vulnerability. An association between early exposure to adversity (eg, exposure to parental illness, neglect from mother) and increased risk of psychopathology may be mediated through increased stress reactivity evident at both behavioral and biological levels. Inter-related psychological processes including reward sensitivity, unstable self-esteem, rumination, and positive self-appraisal are risk factors for mood disorders. Disturbances in circadian rhythm and immune dysfunction are associated with mood disorders and may be vulnerability markers influenced by these other risk factors.

CONCLUSIONS

There is accruing evidence of a number of measurable and potentially modifiable markers of vulnerability and developing illness in youth at familial risk for bipolar disorder. Longitudinal studies of multiple biological and psychological risk processes in high-risk offspring, both individually and together, will improve our understanding of illness onset and lead to the development of specific early interventions.

Cognitive Styles in Mood Disorders: Discriminative Ability of Unipolar and Bipolar Cognitive Profiles

Although previous research has identified cognitive styles that distinguish individuals with bipolar disorder (BD), individuals with major depressive disorder (MDD), and individuals without mood disorders from one another, findings have been inconsistent. The current study included 381 participants classified into a BD group, a MDD group, and a no mood disorder group. To differentiate between these groups, this study evaluated cognitive styles with a battery of traditional and more recently-developed measures. Receiver operating characteristics (ROC) analyses were used to determine the discriminate ability of variables with significant between group differences. Results supported that BD and MDD may be characterized by distinct cognitive styles. Given work showing that interventions for MDD may not be effective at treating BD, it is important to directly compare individuals with these disorders. By clarifying the overlapping and divergent cognitive styles characterizing BD and MDD, research can not only improve diagnostic validity, but also provide more efficacious and effective interventions.

Assessment of implicit self-esteem in bipolar manic and euthymic patients using the implicit association test

OBJECTIVE

Although self-esteem is thought to be an important psychological factor in bipolar disorder, little is known about implicit and explicit self-esteem in manic patients. In this study, we investigated differences in implicit and explicit self-esteem among bipolar manic patients, bipolar euthymic patients, and healthy controls using the Implicit Association Test (IAT).

METHODS

Participants included 19 manic patients, 27 euthymic patients, and 27 healthy controls. Participants completed a self-esteem scale to evaluate explicit self-esteem and performed the self-esteem IAT to evaluate implicit self-esteem.

RESULTS

There were no differences among groups in explicit self-esteem. However, there were significant differences among groups in implicit self-esteem. Manic patients had higher IAT scores than euthymic patients and a trend toward higher IAT scores than healthy controls.

CONCLUSIONS

Our findings suggest that, on the latent level, a manic state is not simply the opposite of a depressed state. Furthermore, there may be a discontinuity of implicit self-esteem between manic and euthymic states. These unexpected results may be due to characteristics of the study participants or the methods used to assess implicit self-esteem. Nevertheless, they provide greater insights on the psychological status of manic patients.

Mindfulness based cognitive therapy for psychiatric disorders: a systematic review and meta-analysis

Mindfulness- based Cognitive Therapy (MBCT) is a meditation program based on an integration of Cognitive behavioural therapy and Mindfulness-based stress reduction. The aim of the present work is to review and conduct a meta-analysis of the current findings about the efficacy of MBCT for psychiatric patients. A literature search was undertaken using five electronic databases and references of retrieved articles. Main findings included the following: 1) MBCT in adjunct to usual care was significantly better than usual care alone for reducing major depression (MD) relapses in patients with three or more prior depressive episodes (4 studies), 2) MBCT plus gradual discontinuation of maintenance ADs was associated to similar relapse rates at 1year as compared with continuation of maintenance antidepressants (1 study), 3) the augmentation of MBCT could be useful for reducing residual depressive symptoms in patients with MD (2 studies) and for reducing anxiety symptoms in patients with bipolar disorder in remission (1 study) and in patients with some anxiety disorders (2 studies). However, several methodological shortcomings including small sample sizes, non-randomized design of some studies and the absence of studies comparing MBCT to control groups designed to distinguish specific from non-specific effects of such practice underscore the necessity for further research.

Mindfulness-based cognitive therapy for nonremitted patients with bipolar disorder

INTRODUCTION

Bipolar disorder is characterized by recurrent episodes of depression and/or mania along with interepisodic mood symptoms that interfere with psychosocial functioning. Despite periods of symptomatic recovery, many individuals with bipolar disorder continue to experience substantial residual mood symptoms that often lead to the recurrence of mood episodes.

AIMS

This study explored whether a new mindfulness-based cognitive therapy (MBCT) for bipolar disorder would increase mindfulness, reduce residual mood symptoms, and increase emotion-regulation abilities, psychological well-being, positive affect, and psychosocial functioning. Following a baseline clinical assessment, 12 individuals with DSM-IV bipolar disorder were treated with 12 group sessions of MBCT.

RESULTS

At the end of treatment, as well as at the 3 months follow-up, participants showed increased mindfulness, lower residual depressive mood symptoms, less attentional difficulties, and increased emotion-regulation abilities, psychological well-being, positive affect, and psychosocial functioning.

CONCLUSIONS

These findings suggest that treating residual mood symptoms with MBCT may be another avenue to improving mood, emotion regulation, well-being, and functioning in individuals with bipolar disorder.

Enhanced relapse prevention for bipolar disorder--ERP trial. A cluster randomised controlled trial to assess the feasibility of training care coordinators to offer enhanced relapse prevention for bipolar disorder

BACKGROUND

Bipolar Disorder (BD) is a common and severe form of mental illness characterised by repeated relapses of mania or depression. Pharmacotherapy is the main treatment currently offered, but this has only limited effectiveness. A recent Cochrane review has reported that adding psycho-social interventions that train people to recognise and manage the early warning signs of their relapses is effective in increasing time to recurrence, improving social functioning and in reducing hospitalisations. However, the review also highlights the difficulties in offering these interventions within standard mental health services due to the need for highly trained therapists and extensive input of time. There is a need to explore the potential for developing Early Warning Sign (EWS) interventions in ways that will enhance dissemination.

METHODS AND DESIGN

This article describes a cluster-randomised trial to assess the feasibility of training care coordinators (CCs) in community mental health teams (CMHTs) to offer Enhanced Relapse Prevention (ERP) to people with Bipolar Disorder. CMHTs in the North West of England are randomised to either receive training in ERP and to offer this to their clients, or to continue to offer treatment as usual (TAU). The main aims of the study are (1) to determine the acceptability of the intervention, training and outcome measures (2) to assess the feasibility of the design as measured by rates of recruitment, retention, attendance and direct feedback from participants (3) to estimate the design effect of clustering for key outcome variables (4) to estimate the effect size of the impact of the intervention on outcome. In this paper we provide a rationale for the study design, briefly outline the ERP intervention, and describe in detail the study protocol.

DISCUSSION

This information will be useful to researchers attempting to carry out similar feasibility assessments of clinical effectiveness trials and in particular cluster randomised controlled trials.