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Background Positive psychology interventions are brief self-adminstered exercises designed to promote positive emotions, behaviours, or thoughts. They are potentially effective for reducing depression and are considered suitable for online dissemination to people with depression and related conditions, as they are assumed to be more acceptable than traditional symptom-focused approaches. However, there is little investigation into perceived acceptability and potential factors that might affect it. This might limit the development and evaluation of effective interventions. Methods Semi-structured interviews with patients with depression and/or anxiety (n = 18) and professionals, including GPs and psychologists (n = 5) were conducted on their perceptions of a proposed online intervention using positive psychology. Thematic analysis, according to Braun and Clarke, was used to identify meaningful patterns in the data. Results Four key themes were identified. The fit between the positive psychological approach and the patient’s context, including their personality, symptoms and other treatments, was important in determining acceptability. Social aspects of interventions were thought to facilitate acceptability, as long as these were balanced. Support was identified as important in facilitating intervention suitability, although it was not without limitations. Finally, participants identified how design features can enhance acceptability. Conclusions The findings suggest that positive psychology interventions might not be acceptable to all and that specific exercises might be more or less appropriate to deliver online. Design aspects can help to facilitate acceptability, beyond the psychological content. These findings may inform the design of future online psychology interventions for people with depression and anxiety, which can then be evaluated in future research. Electronic supplementary material The online version of this article (10.1186/s12888-018-1812-x) contains supplementary material, which is available to authorized users.

Essential criteria for the methodological quality and validity of randomized controlled trials are the drop-out rates from both the experimental intervention and the study as a whole. This systematic review and meta-analysis assessed these drop-out rates in non-pharmacological schizophrenia trials. A systematic literature search was used to identify relevant trials with ≥100 sample size and to extract the drop-out data. The rates of drop-out from the experimental intervention and study were calculated with meta-analysis of proportions. Meta-regression was applied to explore the association between the study and sample characteristics and the drop-out rates. 43 RCTs were found, with drop-out from intervention ranging from 0% to 63% and study drop-out ranging from 4% to 71%. Meta-analyses of proportions showed an overall drop-out rate of 14% (95% CI: 13-15%) at the experimental intervention level and 20% (95% CI: 17-24%) at the study level. Meta-regression showed that the active intervention drop-out rates were predicted by the number of intervention sessions. In non-pharmacological schizophrenia trials, drop-out rates of less than 20% can be achieved for both the study and the experimental intervention. A high heterogeneity of drop-out rates across studies shows that even lower rates are achievable.

Positive psychotherapy (PPT) stems from the positive psychology movement and is a multicomponent model promoting therapeutic change by developing engagement, pleasure, and meaning. There is some evidence it is effective for depression. PPT is recommended as a flexible model that can be applied to other patient groups alongside other treatments approaches. However, it remains unclear which of the many components are applied. The study aimed to identify how PPT is applied in mental health care.We systematically searched online databases, including Medline, Embase, PsycINFO, British Nursing Index, Cumulative Index of Nursing and Applied Health, and Cochrane registers (CENTRAL), and completed complementary hand and citation searches. Narrative synthesis was used for analysis.A total of 12 papers (from 9 studies) widely applied some PPT components (e.g., blessings journal, character strengths) and scarcely applied others (e.g., satisficing plan or family strengths tree). However, papers poorly described the intervention and rationale for applying components.Given the lack of rationale for applying PPT, further research is needed to establish which components are acceptable and feasible for use in different patient groups and settings.

Background: DIALOG+ was developed as a computer-mediated intervention, consisting of a structured assessment of patients' concerns combined with a solution-focused approach to initiate change. This study tested the effectiveness of DIALOG+ in the community treatment of patients with psychosis. Method: This was a pragmatic, exploratory, parallel-group, cluster-randomised controlled trial. Clinicians within community teams - along with patients with psychosis under their care - were randomised to use DIALOG+ once per month for 6 months or an active control. The primary outcome (subjective quality of life, SQOL) and secondary outcomes were assessed after 3, 6 and 12 months by blinded assessors and analysed using mixed-effect models. Results: A total of 49 clinicians and 179 patients were randomised. Implementation of DIALOG+ was variable, with an average of 1.8 sessions (SD = 1.6) in the first 3 months and 1.1 (SD = 1.2) in the following 3 months. Patients in the DIALOG+ arm had better SQOL at 3, 6 and 12 months (p = 0.035, 0.058 and 0.014, respectively; Cohen's d = 0.29-0.34). They also had significantly fewer unmet needs at 3 and 6 months, fewer general psychopathological symptoms at all time points and better objective social outcomes at 12 months, with no significant differences in other outcomes. Overall care costs were lower in the intervention group. Conclusion: Despite variable implementation, DIALOG+ is a beneficial intervention for community patients with psychosis. As a non-expensive and potentially cost-saving, generic intervention, DIALOG+ may be widely used and may improve the effectiveness of community treatment. Further trials should test DIALOG+ in different patient groups and contexts.

It can take a lot of courage to leave a stable job and take a break from practice, but, as Sophie Walsh has found, doing so can open up a whole range of new interests and passions.

Objectives To review systematically the literature on patients’ experiences of, and participation in, technology-based monitoring of mental health symptoms. This practice was defined as patients monitoring their mental health symptoms, emotions or behaviours outside of routine clinical appointments by submitting symptom data using technology, with feedback arising from the data (for example, supportive messages or symptom summaries, being sent to the patient, clinician or carer). Design Systematic review following PRISMA guidelines of studies evaluating technology-based symptom monitoring. Tools from narrative synthesis were used to analyse quantitative findings on participation rates and qualitative findings on patient views. Data sources PubMed, EMBASE, PsycINFO, BNI, CINAHL, Cochrane Registers and Web of Science electronic databases were searched using a combination of ‘psychiatry’, ‘symptom monitoring’ and ‘technology’ descriptors. A secondary hand search was performed in grey literature and references. Results 57 papers representing 42 studies met the inclusion criteria for the review. Technology-based symptom monitoring was used for a range of mental health conditions, either independently of a specific therapeutic intervention or as an integrated component of therapeutic interventions. The majority of studies reported moderate-to-strong rates of participation, though a third reported lower rates. Qualitative feedback suggests that acceptability of monitoring is related to perceived validity, ease of practice, convenient technology, appropriate frequency and helpfulness of feedback, as well as the impact of monitoring on participants’ ability to manage health and personal relationships. Conclusions Such symptom monitoring practices appear to be well accepted and may be a feasible complement to clinical practice. However, there is limited availability of data and heterogeneity of studies. Future research should examine robustly patients’ role in the development and evaluation of technology-based symptom monitoring in order to maximise its clinical utility.