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Psychological interventions for mood disorders can be divided into ‘skilled’and ‘simple‘. Psychoeducation belongs to the latter group: a simple andillness-focused therapy with prophylactic efficacy in all major mooddisorders. Successful implementation of psychoeducation requires a propersetting, including open-door policy, team effort and empowerment of thetherapeutic alliance.

BackgroundEvidence mapping is a structured approach used to synthesize the state-of-the-art in an emerging field of research when systematic reviews or meta-analyses are deemed inappropriate. We employed this strategy to summarise knowledge regarding longitudinal ecological monitoring of rest-activity rhythms (RAR) and disease modifiers, course of illness, treatment response or outcome in bipolar disorders (BD).StructureWe had two key aims: (1) to determine the number and type of actigraphy studies of in BD that explored data regarding: outcome over time (e.g. relapse/recurrence according to polarity, or recovery/remission), treatment response or illness trajectories and (2) to examine the range of actigraphy metrics that can be used to estimate disruptions of RAR and describe which individual circadian rhythm or sleep–wake cycle parameters are most consistently associated with outcome over time in BD. The mapping process incorporated four steps: clarifying the project focus, describing boundaries and ‘coordinates’ for mapping, searching the literature and producing a brief synopsis with summary charts of the key outputs. Twenty-seven independent studies (reported in 29 publications) were eligible for inclusion in the map. Most were small-scale, with the median sample size being 15 per study and median duration of actigraphy being about 7 days (range 1–210). Interestingly, 17 studies comprised wholly or partly of inpatients (63%). The available evidence indicated that a discrete number of RAR metrics are more consistently associated with transition between different phases of BD and/or may be predictive of longitudinal course of illness or treatment response. The metrics that show the most frequent associations represent markers of the amount, timing, or variability of RAR rather than the sleep quality metrics that are frequently targeted in contemporary studies of BD.ConclusionsDespite 50 years of research, use of actigraphy to assess RAR in longitudinal studies and examination of these metrics and treatment response, course and outcome of BD is under-investigated. This is in marked contrast to the extensive literature on case–control or cross-sectional studies of actigraphy, especially typical sleep analysis metrics in BD. However, given the encouraging findings on putative RAR markers, we recommend increased study of putative circadian phenotypes of BD.

SIMPLe is an internet-delivered self-management mobile app for bipolar disorder (BD) designed to combine technology with evidence-based interventions and facilitate access to psychoeducational content. The SIMPLe app was launched to the real world to make it available worldwide within the context of BD treatment. The main aims of this study are as follows: to describe app use, engagement, and retention rates based on server data; to identify patterns of user retention over the first 6-month follow-up of use; and to explore potential factors contributing to discontinuation of app use. This was an observational ecological study in which we pooled available data from a real-world implementation of the SIMPLe app. Participation was open on the project website, and the data-collection sources were a web-based questionnaire on clinical data and treatment history administered at inclusion and at 6 months, subjective data gathered through continuous app use, and the use patterns captured by the app server. Characteristics and engagement of regular users, occasional users, and no users were compared using 2-tailed t tests or analysis of variance or their nonparametric equivalent. Survival analysis and risk functions were applied to regular users' data to examine and compare use and user retention. In addition, a user evaluation analysis was performed based on satisfaction, perceived usefulness, and reasons to discontinue app use. We included 503 participants with data collected between 2016 and 2018, of whom 77.5% (n=390) used the app. Among the app users, 44.4% (173/390) completed the follow-up assessment, and data from these participants were used in our analyses. Engagement declined gradually over the first 6 months of use. The probability of retention of the regular users after 1 month of app use was 67.4% (263/390; 95% CI 62.7%-72.4%). Age (P=.002), time passed since illness onset (P<.001), and years since diagnosis of BD (P=.048) correlate with retention duration. In addition, participants who had been diagnosed with BD for longer used the app on more days (mean 97.73, SD 69.15 days; P=.002) than those who had had a more recent onset (mean 66.49, SD 66.18 days; P=.002) or those who had been diagnosed more recently (mean 73.45, SD 66 days; P=.01). The user retention rate of the app decreased rapidly after each month until reaching only one-third of the users at 6 months. There exists a strong association between age and app engagement of individuals with BD. Other variables such as years lived with BD, diagnosis of an anxiety disorder, and taking antipsychotics seem relevant as well. Understanding these associations can help in the definition of the most suitable user profiles for predicting trends of engagement, optimization of app prescription, and management.

Background New technologies have recently been used for monitoring signs and symptoms of mental health illnesses and particularly have been tested to improve the outcomes in bipolar disorders. Web-based psychoeducational programs for bipolar disorders have also been implemented, yet to our knowledge, none of them have integrated both approaches in one single intervention. The aim of this project is to develop and validate a smartphone application to monitor symptoms and signs and empower the self-management of bipolar disorder, offering customized embedded psychoeducation contents, in order to identify early symptoms and prevent relapses and hospitalizations. Methods/design The project will be carried out in three complementary phases, which will include a feasibility study (first phase), a qualitative study (second phase) and a randomized controlled trial (third phase) comparing the smartphone application (SIMPLe) on top of treatment as usual with treatment as usual alone. During the first phase, feasibility and satisfaction will be assessed with the application usage log data and with an electronic survey. Focus groups will be conducted and technical improvements will be incorporated at the second phase. Finally, at the third phase, survival analysis with multivariate data analysis will be performed and relationships between socio-demographic, clinical variables and assessments scores with relapses in each group will be explored. Discussion This project could result in a highly available, user-friendly and not costly monitoring and psychoeducational intervention that could improve the outcome of people suffering from bipolar disorders in a practical and secure way. Trial registration Clinical Trials.gov: NCT02258711 (October 2014).

Psychological interventions for mood disorders can be divided into ‘skilled’ and ‘simple‘. Psychoeducation belongs to the latter group: a simple and illness-focused therapy with prophylactic efficacy in all major mood disorders. Successful implementation of psychoeducation requires a proper setting, including open-door policy, team effort and empowerment of the therapeutic alliance.

To determine the clinical and long-term implications of mood polarity at illness onset. During a 10-year follow-up prospective study, systematic clinical and outcome data were collected from 300 bipolar I and II patients. The sample was split into 2 groups according to the polarity of the onset episode (depressive onset [DO] vs manic/hypomanic onset [MO]). Clinical features and social functioning were compared between the 2 groups of patients. In our sample, 67% of the patients experienced a depressive onset. Depressive onset patients were more chronic than MO patients, with a higher number of total episodes and a longer duration of illness. Depressive onset patients experienced a higher number of depressive episodes than MO patients, who in turn had more manic episodes. Depressive onset patients made more suicide attempts, had a later illness onset, were less often hospitalized, and were less likely to develop psychotic symptoms. Depressive onset was more prevalent among bipolar II patients. Bipolar I patients with DO had more axis II comorbidity and were more susceptible to have a history of psychotic symptoms than bipolar II patients with DO. The polarity at onset is a good predictor of the polarity of subsequent episodes over time. A depressive onset is twice as frequent as MO and carries more chronicity and cyclicity.

Background: During the last few years, the continuous emergence of new psychoactive substances (NPS) has become an important public health challenge. The use of NPS has been rising in two different ways: buying and consuming NPS knowingly and the presence of NPS in traditional drugs as adulterants. The rise of NPS use is increasing the number of different substances in the market to an extent impossible to study with current scientific methodologies. This has caused a remarkable absence of necessary information about newer drug effects on people who use drugs, mental health professionals, and policy makers. Current scientific methodologies have failed to provide enough data in the timeframe when critical decisions must be made, being not only too slow but also too square. Last but not least, they dramatically lack the high resolution of phenomenological details. Objective: This study aims to characterize a population of e-psychonauts and the subjective effects of the NPS they used during the study period using a new, internet-based, fast, and inexpensive methodology. This will allow bridging an evidence gap between online surveys, which do not provide substance confirmation, and clinical trials, which are too slow and expensive to keep up with the new substances appearing every week. Methods: To cover this purpose, we designed a highly personalized, observational longitudinal study methodology. Participants will be recruited from online communities of people who use NPS, and they will be followed online by means of a continuous objective and qualitative evaluation lasting for at least 1 year. In addition, participants will send samples of the substances they intend to use during that period, so they can be analyzed and matched with the effects they report on the questionnaires. Results: The research protocol was approved by the Institutional Review Board of the Hospital del Mar Research Institute on December 11, 2018. Data collection started in August 2019 and was still ongoing when the protocol was submitted (September 2020). The first data collection period of the study ended in October 2020. Data analysis began in November 2020, and it is still ongoing. The authors expect to submit the first results for publication by the end of 2021. A preliminary analysis was conducted when the manuscript was submitted and was reviewed after it was accepted in February 2021. Conclusions: It is possible to conduct an institutional review board–approved study using this new methodology and collect the expected data. However, the meaning and usefulness of these data are still unknown. International Registered Report Identifier (IRRID): DERR1-10.2196/24433

Although pharmacotherapy is the mainstay of treatment for bipolar disorder, the combination of evidence-based psychological interventions and drug treatment enhances overall effectiveness, mostly by further protecting patients from relapse/recurrence. In recent years, well-designed controlled studies have added weight to evidence favoring specific psychotherapy modalities for bipolar disorders. However, critical issues that may limit the benefits of psychotherapy in day-to-day clinical practice have emerged. In this article, we critically examine the effectiveness of psychosocial approaches to bipolar illness by reviewing the literature, which has been substantially enriched during the past 5 years. Recent studies further support the fact that psychoeducation and cognitivebehavioral therapy are effective in bipolar disorder, especially the early stages. Family interventions based on a psychoeducational model are also effective. Intensive psychotherapies may be more effective than short, managed care-based ones. Group psychoeducation seems to have long-lasting effects and to be cost-effective. Future studies should focus on neurobiological markers of response to psychotherapy and tailor interventions to specific subtypes.

Although cognitive dysfunctions in psychosis have classically been associated with schizophrenia, there is clinical evidence that some bipolar patients show cognitive disturbances either during acute phases or in remission periods. The authors critically review the data on cognitive impairment in bipolar disorder. The main computerized databases (Medline, Psychological Abstracts, Current Contents) have been consulted crossing the terms ‘cognitive deficits’, ‘neuropsychology’, ‘intellectual impairment’, ‘mania’, ‘depression’ and ‘bipolar disorder’. Changes in the fluency of thought and speech, learning and memory impairment, and disturbances in associational patterns and attentional processes are as fundamental to depression and mania as are changes in mood and behavior. Moreover, a significant number of bipolar patients show persistent cognitive deficits during remission from affective symptoms. However, there are several methodological pitfalls in most studies such as unclear remission criteria, diagnostic heterogeneity, small sample sizes, absence of longitudinal assessment, practice effect and poor control of the influence of pharmacological treatment. Most studies point at the presence of diffuse cognitive dysfunction during the acute phases of bipolar illness. Most of these deficits seem to remit during periods of euthymia, but some of them may persist in approximately one third of bipolar patients. Methodological limitations warrant further research in order to clear up the relationship between neuropsychological functioning and clinical, demographic and treatment variables in bipolar disorder.

This paper reviews published randomized controlled treatment trials of psychological therapies added to standard psychiatric treatment vs. standard psychiatric treatment alone to explore whether adjunctive psychotherapy reduces relapse rates in individuals with bipolar disorders. Core components and characteristics of effective psychological therapies were identified from descriptions in the literature. Relapse rates were calculated for selected treatment trials and then pooled odds ratios were calculated using meta-analytical techniques that explored differences in outcome according to therapy model, type of relapse experienced and whether the subject was euthymic at entry to the study. The different therapy models have a number of similar components. A meta-analysis of eight recent studies demonstrates a significant reduction in relapse rates (of about 40%) compared to standard treatment alone. Therapies were most effective in preventing relapses in subjects who were euthymic when recruited into the treatment trial, and may be less effective in those with a high number of previous episodes (previous relapses >12). Efficacy studies demonstrate that adjunctive psychological treatments for individuals with bipolar disorders reduce relapse risk, but there is a need to undertake pragmatic effectiveness studies to determine which individuals with bipolar disorders are most likely to benefit from such interventions.