Psychoeducation and online mood tracking for patients with bipolar disorder: A randomised controlled trial

Current practices of psychoeducation interventions with persons with bipolar disorders: a literature review

This review sought to summarize the literature on current practices and forms of psychoeducation in the management of patients with bipolar disorder (BD), including only randomized controlled trials to ensure the best level of evidence. An extensive review of the available literature was conducted using PubMed/MEDLINE, Embase, and PsychInfo databases from inception to April 28th, 2022. The search yielded 381 studies. Seventy articles were included after removing duplicates and applying the inclusion/exclusion criteria. A best-evidence synthesis was used to identify the key results of each study and summarize the outcomes. Eleven descriptive categories were made. They encompass different forms of psychoeducation compared or combined with other psychosocial interventions, varying in setting (individual or group), with or without family members, structured or unstructured, mediated or not by digital tools (smartphone, internet). Globally, these studies show that psychoeducation is important in the treatment of BD, as it leads to a decrease in relapses, mood episodes, hospitalizations, and improved functioning or quality of life. Some studies also showed the benefits of psychoeducation on the patient's level of knowledge of pharmacological treatment and the disorder or compliance with medication, as well as reduced self-stigma. The limitations of this review are linked to the selection of only RCTs and the reliance on their post-hoc analyses. This review confirms the benefit of psychoeducation and psychosocial interventions on the evolution of BD (in different outcomes, including quality of life, relapse, and rehospitalization rates, for example). More recent interventions, such as mindfulness or online psychoeducation, represent an interesting option but more evidence is needed.

Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models

BACKGROUND

Several studies have reported on the feasibility of electronic (e-)monitoring using computers or smartphones in patients with mental disorders, including bipolar disorder (BD). While studies on e-monitoring have examined the role of demographic factors, such as age, gender, or socioeconomic status and use of health apps, to our knowledge, no study has examined clinical characteristics that might impact adherence with e-monitoring in patients with BD. We analyzed adherence to e-monitoring in patients with BD who participated in an ongoing e-monitoring study and evaluated whether demographic and clinical factors would predict adherence.

METHODS

Eighty-seven participants with BD in different phases of the illness were included. Patterns of adherence for wearable use, daily and weekly self-rating scales over 15 months were analyzed to identify adherence trajectories using growth mixture models (GMM). Multinomial logistic regression models were fitted to compute the effects of predictors on GMM classes.

RESULTS

Overall adherence rates were 79.5% for the wearable; 78.5% for weekly self-ratings; and 74.6% for daily self-ratings. GMM identified three latent class subgroups: participants with (i) perfect; (ii) good; and (iii) poor adherence. On average, 34.4% of participants showed "perfect" adherence; 37.1% showed "good" adherence; and 28.2% showed poor adherence to all three measures. Women, participants with a history of suicide attempt, and those with a history of inpatient admission were more likely to belong to the group with perfect adherence.

CONCLUSIONS

Participants with higher illness burden (e.g., history of admission to hospital, history of suicide attempts) have higher adherence rates to e-monitoring. They might see e-monitoring as a tool for better documenting symptom change and better managing their illness, thus motivating their engagement.

The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

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.

Apps and gaps in bipolar disorder: A systematic review on electronic monitoring for episode prediction

BACKGROUND

Long-term clinical monitoring in bipolar disorder (BD) is an important therapeutic tool. The availability of smartphones and wearables has sparked the development of automated applications to remotely monitor patients. This systematic review focus on the current state of electronic (e-) monitoring for episode prediction in BD.

METHODS

We systematically reviewed the literature on e-monitoring for episode prediction in adult BD patients. The systematic review was done according to the guidelines for reporting of systematic reviews and meta-analyses (PRISMA) and was registered in PROSPERO on April 29, 2020 (CRD42020155795). We conducted a search of Web of Science, MEDLINE, EMBASE, and PsycINFO (all 2000-2020) databases. We identified and extracted data from 17 published reports on 15 relevant studies.

RESULTS

Studies were heterogeneous and most had substantial methodological and technical limitations. Models varied widely in their performance. Published metrics were too heterogeneous to lend themselves to a meta-analysis. Four studies reported sensitivity (range: 0.21 - 0.95); and two reported specificity for prediction of mood episodes (range: 0.36 - 0.99). Two studies reported accuracy (range: 0.64 - 0.88) and four reported area under the curve (AUC; range: 0.52-0.95). Overall, models were better in predicting manic or hypomanic episodes, but their performance depended on feature type.

LIMITATIONS

Our conclusions are tempered by the lack of appropriate information impeding our ability to synthesize the available evidence.

CONCLUSIONS

Given the clinical variability in BD, predicting mood episodes remains a challenging task. Emerging e-monitoring technology for episode prediction in BD requires more development before it can be adopted clinically.

A Real-World Study of the Association between a Brief Group Psychoeducation and the Course of Bipolar Disorder

Although pharmacotherapy is considered the first-line treatment for bipolar disorders (BD), adjunctive psychoeducation has proven its effectiveness in improving self-management of the disease and reducing relapse rates. Few studies have evaluated the effect of brief group psychoeducation on pragmatic variables, such as the number of hospitalizations. The aim of the present study was to assess the mid-term effect of a four-session group psychoeducation on course-related variables in BD. Thirty-two individuals with BD were included in the study. Sixteen were exposed to psychoeducation and were matched to sixteen nonexposed individuals who received their usual treatment. Both groups were compared on insight, treatment adherence, change in the number of hospitalizations and visits to the emergency services, occurrence rate after intervention, and time to the first psychiatric hospitalization and the first urgent attendance. There was a significant reduction in the mean number of hospitalizations and urgent attendances in the exposed group in comparison to the nonexposed group. The first urgent attendance was significantly sooner in the nonexposed cohort. There were no differences between groups in any of the other variables. This intervention has shown benefits for pragmatic variables of the disease course and may be a feasible and cost-effective intervention to routinely implement in the management of BD.

Patients' reasons for non-use of digital patient-reported outcome concepts: A scoping review

Data from digitally administered patient reported outcomes (PROs) is used more and more in routine healthcare for long-term conditions as a part of daily clinical practice. This literature study reviews empirical studies of digital PRO to examine patients' reasons for non-use of digitally administered PRO data in routine care. This scoping review searched through PubMed, Embase, Web of Science and PsycINFO databases, reporting on study population, intervention, duration of intervention and motivational factors alongside stated reasons for nonparticipation or dropout for each study. The patients' reasons for not participating, either from study start or by dropout, were analysed through a thematic approach.Fifty-one studies were included, published from 2010 to 2019, mostly from Europe and the Unites States covering different long-term conditions. The reasons for non-use are manifold and cover the themes of ability to use PRO, engagement, emotional distress and technical barriers.Several reasons are given explaining why patients with long-term conditions are not using digitally administered PRO as intended. This should be taken into account in the design phase of digital PRO interventions and considered in conversations with patients during the intervention.

The effect of smartphone-based monitoring on illness activity in bipolar disorder: the MONARCA II randomized controlled single-blinded trial

BACKGROUND

Recently, the MONARCA I randomized controlled trial (RCT) was the first to investigate the effect of smartphone-based monitoring in bipolar disorder (BD). Findings suggested that smartphone-based monitoring sustained depressive but reduced manic symptoms. The present RCT investigated the effect of a new smartphone-based system on the severity of depressive and manic symptoms in BD.

METHODS

Randomized controlled single-blind parallel-group trial. Patients with BD, previously treated at The Copenhagen Clinic for Affective Disorder, Denmark and currently treated at community psychiatric centres, private psychiatrists or GPs were randomized to the use of a smartphone-based system or to standard treatment for 9 months. Primary outcomes: differences in depressive and manic symptoms between the groups.

RESULTS

A total of 129 patients with BD (ICD-10) were included. Intention-to-treat analyses showed no statistically significant effect of smartphone-based monitoring on depressive (B = 0.61, 95% CI -0.77 to 2.00, p = 0.38) and manic (B = -0.25, 95% CI -1.1 to 0.59, p = 0.56) symptoms. The intervention group reported higher quality of life and lower perceived stress compared with the control group. In sub-analyses, the intervention group had higher risk of depressive episodes, but lower risk of manic episodes compared with the control group.

CONCLUSIONS

There was no effect of smartphone-based monitoring. In patient-reported outcomes, patients in the intervention group reported improved quality of life and reduced perceived stress. Patients in the intervention group had higher risk of depressive episodes and reduced risk of manic episodes. Despite the widespread use and excitement of electronic monitoring, few studies have investigated possible effects. Further studies are needed.

The True Colours Remote Symptom Monitoring System: A Decade of Evolution

The True Colours remote mood monitoring system was developed over a decade ago by researchers, psychiatrists, and software engineers at the University of Oxford to allow patients to report on a range of symptoms via text messages, Web interfaces, or mobile phone apps. The system has evolved to encompass a wide range of measures, including psychiatric symptoms, quality of life, and medication. Patients are prompted to provide data according to an agreed personal schedule: weekly, daily, or at specific times during the day. The system has been applied across a number of different populations, for the reporting of mood, anxiety, substance use, eating and personality disorders, psychosis, self-harm, and inflammatory bowel disease, and it has shown good compliance. Over the past decade, there have been over 36,000 registered True Colours patients and participants in the United Kingdom, with more than 20 deployments of the system supporting clinical service and research delivery. The system has been adopted for routine clinical care in mental health services, supporting more than 3000 adult patients in secondary care, and 27,263 adolescent patients are currently registered within Oxfordshire and Buckinghamshire. The system has also proven to be an invaluable scientific resource as a platform for research into mood instability and as an electronic outcome measure in randomized controlled trials. This paper aimed to report on the existing applications of the system, setting out lessons learned, and to discuss the implications for tailored symptom monitoring, as well as the barriers to implementation at a larger scale.

Evidence-Based Psychotherapies for Bipolar Disorder

Bipolar disorder is a recurrent psychiatric disorder marked by waxing and waning affective symptoms and impairment in functioning. Some of the morbidity and mortality associated with the illness may be reduced with evidence-based psychotherapies (EBPs) along with pharmacotherapy. To enhance clinicians' understanding of which therapy modalities have evidence supporting their use, the authors conducted a systematic literature review to identify randomized controlled trials (RCTs) of psychotherapy for adults with bipolar disorder. A strong evidence base exists for psychoeducation, cognitive-behavioral therapy, family-focused therapy, interpersonal and social rhythm therapy, and peer-support programs. Promising modalities include functional remediation, mindfulness-based cognitive therapy, illness management and recovery, and technology-assisted strategies. RCTs demonstrate a consistent advantage of these psychotherapies plus pharmacotherapy, compared with the use of pharmacotherapy alone. Adjunctive EBPs hasten time to remission, delay time to recurrence, and improve functional outcomes. EBPs play an important role in helping individuals develop skills needed to manage the persistent and lifelong psychosocial, neurocognitive, vocational, and interpersonal consequences of bipolar disorder. Continued efforts to improve the effectiveness of EBPs for adults with bipolar disorder are warranted.

Psychosocial Interventions for Bipolar II Disorder

Bipolar II disorder causes significant suffering among patients and their families, some of which may be alleviated by psychotherapy alone or as an adjunct to pharmacotherapy. Psychotherapies may be more effective if modified to meet the specific needs of patients with bipolar II disorder.

Treating Circadian Rhythm Disruption in Bipolar Disorder

PURPOSE OF REVIEW

Disruptions in circadian rhythms are believed to underlie the illness course of bipolar disorder (BD). This review evaluates recent studies on the treatment of circadian dysfunction in BD.

RECENT FINDINGS

Targeted social rhythm therapy may be useful for bipolar depression though some studies suggest that a non-targeted psychosocial or pharmacological intervention may be just as efficacious. Lithium holds potential for addressing circadian dysfunction in BD. Blue-blocking therapy may be useful for mania and midday bright light therapy may relieve depression.

CONCLUSIONS

Psychosocial, pharmacological, and light-based approaches are promising avenues for treating circadian dysfunction in BD.

Disease management apps and technical assistance systems for bipolar disorder: Investigating the patients´ point of view

BACKGROUND

Smartphone-based disease management has become increasingly interesting for research in the field of bipolar disorders. This article investigates the attitudes of persons affected by this disorder towards the appropriation of mobile apps or assistance systems for the management of their disease.

METHODS

We conducted two separate studies. Study 1 was an online survey with 88 participants. In study 2 we consulted 15 participants during a semi-structured interview. All the participants had formerly been diagnosed with bipolar disorder.

RESULTS

More than half of the participants of study 1 and most participants of study 2 agreed with the use of an app or assistance system for self-ratings, third party ratings and an objective symptom monitoring. Potential interventions that were popular in both groups included a regular feedback, the visualization of monitored data and advice in crises.

LIMITATIONS

With study 1 we were not able to ensure correct diagnoses or to interact in a flexible way. In Study 2 those issues were resolved, but the small number of participants raises the question of a possible generalisability of the results. Furthermore, for both studies a selection bias could not be excluded.

CONCLUSIONS

Our results indicate positive attitudes of bipolar patients towards disease management apps and assistance systems. Even new and innovative features such as partner apps or the analysis of facial expressions in video data were appreciated and daily interactions were favoured. However, the variety of answers calls for flexible systems which allow activating or deactivating certain features.

Participants' perspectives of weekly telephonic mood monitoring in South Africa: a feasibility study

BACKGROUND

Mood and anxiety disorders have a high lifetime prevalence, and their chronicity adds to the management burden of already scarce and strained mental health care resources, particularly in developing countries. Non-professional-assisted interventions and technology (such as weekly telephonic mood monitoring) could assist in the early identification of symptoms of relapse and hospitalization prevention. The present study aimed to determine participants' perspectives and the feasibility of weekly telephonic mood monitoring in order to inform the development of the full study.

METHOD

Semi-structured telephonic interviews (n = 37; 89.2% female; mean age = 33.1 years) were conducted as part of the full-scale feasibility study (N = 61; named the Bipolar Disorder Mood Monitoring (BDMM) Study). The BDMM Study was conducted to determine the viability of weekly telephonic mood monitoring, spanning 26 weeks and starting 1 week post-discharge. Frequency and descriptive statistical analyses (using SPSS version 24) were undertaken, and qualitative data were analyzed using thematic content analysis.

RESULTS

This article presents the findings from the semi-structured interview section of the BDMM Study. Participants generally expressed positive experiences and perceptions of weekly telephonic mood monitoring, stating that they would advise others to also take part in weekly telephonic mood monitoring. Nonetheless, some participants did make suggestions for improvement of mood monitoring while others expressed negative experiences of weekly telephonic mood monitoring.

CONCLUSION

The results of the semi-structured interviews of the BDMM Study indicated that participants perceived weekly telephonic mood monitoring to be helpful in lightening the burden of mood and anxiety disorders (e.g., having someone to talk to, providing insight into their disorders). Not only did it help them, but they also perceived mood monitoring to be potentially helpful to future participants. However, weekly mood monitoring was also burdensome in itself (including being too time consuming and having to answer questions when feeling down). Importantly, the findings highlighted that participants' and researchers' perceptions and experiences may not be congruent (especially in terms of therapeutic misconception). The current findings may inform researchers' future approach to study design and participant relationships.

Smartphone-based objective monitoring in bipolar disorder: status and considerations

In 2001, the WHO stated that: "The use of mobile and wireless technologies to support the achievement of health objectives (mHealth) has the potential to transform the face of health service delivery across the globe". Within mental health, interventions and monitoring systems for depression, anxiety, substance abuse, eating disorder, schizophrenia and bipolar disorder have been developed and used. The present paper presents the status and findings from studies using automatically generated objective smartphone data in the monitoring of bipolar disorder, and addresses considerations on the current literature and methodological as well as clinical aspects to consider in the future studies.

Longitudinal mood monitoring in bipolar disorder: Course of illness as revealed through a short messaging service

BACKGROUND

Online self-monitoring of mood can be used to investigate differences in course patterns across patient groups. This study explored the feasibility of remote symptom capture with True Colours, a self-rated online mood monitoring tool completed on a weekly basis.

METHODS

Participants with bipolar disorder (N = 297) completed weekly depression and mania questionnaires over an average of 27.5 months (range 1 -81 months). Subgroups defined by sex, age, and bipolar I vs. II status were compared on time in various mood states, number of episodes, and week-to-week mood variability.

RESULTS

Compliance with weekly questionnaires was generally high (median, 92% of weeks). Mood symptoms occurred for an average of 55.4% of weeks across the follow-up period. Females spent more time with hypomanic/manic and depressive symptoms and had more depressive episodes compared to males. Younger participants were found to experience more hypomanic/manic episodes and showed greater variability in mood symptoms than older participants. No significant differences in mood symptoms or variability were observed between bipolar I and II patients.

LIMITATIONS

This was a naturalistic study with a heterogeneous cohort, and did not include a control group. True Colours does not identify mood fluctuations that may occur in the days between weekly assessments.

CONCLUSIONS

Monitoring moods through an online tool is both feasible and informative regarding course of illness in patients with bipolar disorder. Interventions aiming to reduce mood variability and manic/hypomanic episodes in the early phases of bipolar disorder may enhance the long-term symptomatic course of the illness.

Promoting medication adherence among patients with bipolar disorder: a multicenter randomized controlled trial of a multifaceted intervention

BACKGROUND

The present research aimed to investigate the efficacy of a multifaceted intervention that included motivational interviewing (MI) and psychoeducation in improving medication adherence (MA) among patients with bipolar disorder (BD).

METHOD

A multicenter, cluster randomized, observer-blind, controlled, parallel-group trial was conducted in ten academic centers in Iran. Patients with BD were randomly assigned to the experimental group (EXP; n = 136) or the usual care group (UC; n = 134). The EXP group received five sessions of MI and psychoeducation together with their family members. The primary outcome measure was changes in scores on the Medication Adherence Rating Scale from baseline to 6 months post-intervention. Other outcome measures included serum levels of mood stabilizers, clinical symptoms, quality of life, as well as measures of intention, beliefs about medicine, perceived behavioral control, automaticity, action and coping planning, and adverse reactions.

RESULTS

Medication adherence improved over time in both groups, but patients in the EXP group improved more (baseline score: 6.03; score at the sixth month: 9.55) than patients in the UC group (baseline score: 6.17; score at the sixth month: 6.67). In addition, patients in the EXP group showed greater improvement than patients in the UC group in almost all secondary outcomes 6 months following the intervention.

CONCLUSIONS

Multifaceted interventions that include motivational-interviewing and psychoeducation can significantly improve MA and clinical and functional outcomes in patients with BD.

TRIAL REGISTRATION NUMBER

The trial was registered with theClinicalTrials.gov database (NCT02241863) https://clinicaltrials.gov/ct2/show/NCT02241863.

The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis

BACKGROUND

Sleep difficulties might be a contributory causal factor in the occurrence of mental health problems. If this is true, improving sleep should benefit psychological health. We aimed to determine whether treating insomnia leads to a reduction in paranoia and hallucinations.

METHODS

We did this single-blind, randomised controlled trial (OASIS) at 26 UK universities. University students with insomnia were randomly assigned (1:1) with simple randomisation to receive digital cognitive behavioural therapy (CBT) for insomnia or usual care, and the research team were masked to the treatment. Online assessments took place at weeks 0, 3, 10 (end of therapy), and 22. The primary outcome measures were for insomnia, paranoia, and hallucinatory experiences. We did intention-to-treat analyses. The trial is registered with the ISRCTN registry, number ISRCTN61272251.

FINDINGS

Between March 5, 2015, and Feb 17, 2016, we randomly assigned 3755 participants to receive digital CBT for insomnia (n=1891) or usual practice (n=1864). Compared with usual practice, the sleep intervention at 10 weeks reduced insomnia (adjusted difference 4·78, 95% CI 4·29 to 5·26, Cohen's d=1·11; p<0·0001), paranoia (-2·22, -2·98 to -1·45, Cohen's d=0·19; p<0·0001), and hallucinations (-1·58, -1·98 to -1·18, Cohen's d=0·24; p<0·0001). Insomnia was a mediator of change in paranoia and hallucinations. No adverse events were reported.

INTERPRETATION

To our knowledge, this is the largest randomised controlled trial of a psychological intervention for a mental health problem. It provides strong evidence that insomnia is a causal factor in the occurrence of psychotic experiences and other mental health problems. Whether the results generalise beyond a student population requires testing. The treatment of disrupted sleep might require a higher priority in mental health provision.

FUNDING

Wellcome Trust.