Prejudice toward people with borderline personality disorder: Application of the prejudice toward people with mental illness framework

BACKGROUND

People living with borderline personality disorder (BPD) face high levels of prejudice and discrimination from both the community and medical professionals, but no measure of prejudice toward people living with BPD exists.

AIMS

The current study aimed to adapt an existing Prejudice toward People with Mental Illness (PPMI) scale and investigate the structure and nomological network of prejudice toward people with BPD.

METHODS

The original 28-item PPMI scale was adapted to create the Prejudice toward People with Borderline Personality Disorder (PPBPD) scale. The scale and related measures were completed by three samples: 217 medical or clinical psychology students, 303 psychology undergraduate students, and 314 adults from the general population.

RESULTS

The original four-factor structure of the PPMI was supported in the PPBPD scale. Reported prejudice toward people with BPD was more negative than prejudice toward people with mental illness in general. The association of the PPBPD scale with antecedents and consequences was assessed, including social dominance orientation, right-wing authoritarianism, ethnocentrism, personality traits, empathy, prior contact, and feelings toward other stigmatized groups and mental illnesses.

CONCLUSIONS

This study provided evidence for the validity and psychometric properties of the PPBPD scale across three samples and investigated anticipated relationships with theoretically related antecedents and consequences. This research will help improve understanding of the expressions underlying prejudice toward people with BPD.

The Effects of Internet-Based Cognitive Behavioral Therapy for Suicidal Ideation or Behaviors on Depression, Anxiety, and Hopelessness in Individuals With Suicidal Ideation: Systematic Review and Meta-Analysis of Individual Participant Data

BACKGROUND

Suicide is a global public health problem. Digital interventions are considered a low-threshold treatment option for people with suicidal ideation or behaviors. Internet-based cognitive behavioral therapy (iCBT) targeting suicidal ideation has demonstrated effectiveness in reducing suicidal ideation. However, suicidal ideation often is related to additional mental health problems, which should be addressed for optimal care. Yet, the effects of iCBT on related symptoms, such as depression, anxiety, and hopelessness, remain unclear.

OBJECTIVE

We aimed to analyze whether digital interventions targeting suicidal ideation had an effect on related mental health symptoms (depression, anxiety, and hopelessness).

METHODS

We systematically searched CENTRAL, PsycInfo, Embase, and PubMed for randomized controlled trials that investigated guided or unguided iCBT for suicidal ideation or behaviors. Participants reporting baseline suicidal ideation were eligible. Individual participant data (IPD) were collected from eligible trials. We conducted a 1-stage IPD meta-analysis on the effects on depression, anxiety, and hopelessness-analyzed as 2 indices: symptom severity and treatment response.

RESULTS

We included IPD from 8 out of 9 eligible trials comprising 1980 participants with suicidal ideation. iCBT was associated with significant reductions in depression severity (b=-0.17; 95% CI -0.25 to -0.09; P<.001) and higher treatment response (ie, 50% reduction of depressive symptoms; b=0.36; 95% CI 0.12-0.60; P=.008) after treatment. We did not find significant effects on anxiety and hopelessness.

CONCLUSIONS

iCBT for people with suicidal ideation revealed significant effects on depression outcomes but only minor or no effects on anxiety and hopelessness. Therefore, individuals with comorbid symptoms of anxiety or hopelessness may require additional treatment components to optimize care. Studies that monitor symptoms with higher temporal resolution and consider a broader spectrum of factors influencing suicidal ideation are needed to understand the complex interaction of suicidality and related mental health symptoms.

Effectiveness of Self-guided Tailored Implementation Strategies in Integrating and Embedding Internet-Based Cognitive Behavioral Therapy in Routine Mental Health Care: Results of a Multicenter Stepped-Wedge Cluster Randomized Trial

BACKGROUND

Internet-based cognitive behavioral therapy (iCBT) services for common mental health disorders have been found to be effective. There is a need for strategies that improve implementation in routine practice. One-size-fits-all strategies are likely to be ineffective. Tailored implementation is considered as a promising approach. The self-guided integrated theory-based Framework for intervention tailoring strategies toolkit (ItFits-toolkit) supports local implementers in developing tailored implementation strategies. Tailoring involves identifying local barriers; matching selected barriers to implementation strategies; developing an actionable work plan; and applying, monitoring, and adapting where necessary.

OBJECTIVE

This study aimed to compare the effectiveness of the ItFits-toolkit with implementation-as-usual (IAU) in implementing iCBT services in 12 routine mental health care organizations in 9 countries in Europe and Australia.

METHODS

A stepped-wedge cluster randomized trial design with repeated measures was applied. The trial period lasted 30 months. The primary outcome was the normalization of iCBT delivery by service providers (therapists, referrers, IT developers, and administrators), which was measured with the Normalization Measure Development as a proxy for implementation success. A 3-level linear mixed-effects modeling was applied to estimate the effects. iCBT service uptake (referral and treatment completion rates) and implementation effort (hours) were used as secondary outcomes. The perceived satisfaction (Client Satisfaction Questionnaire), usability (System Usability Scale), and impact of the ItFits-toolkit by implementers were used to assess the acceptability of the ItFits-toolkit.

RESULTS

In total, 456 mental health service providers were included in this study. Compared with IAU, the ItFits-toolkit had a small positive statistically significant effect on normalization levels in service providers (mean 0.09, SD 0.04; P=.02; Cohen d=0.12). The uptake of iCBT by patients was similar to that of IAU. Implementers did not spend more time on implementation work when using the ItFits-toolkit and generally regarded the ItFits-toolkit as usable and were satisfied with it.

CONCLUSIONS

The ItFits-toolkit performed better than the usual implementation activities in implementing iCBT services in routine practice. There is practical utility in the ItFits-toolkit for supporting implementers in developing and applying effective tailored implementation strategies. However, the effect on normalization levels among mental health service providers was small. These findings warrant modesty regarding the effectiveness of self-guided tailored implementation of iCBT services in routine practice.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03652883; https://clinicaltrials.gov/ct2/show/NCT03652883.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s13063-020-04686-4.

Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort

BACKGROUND

Digital mental health (DMH) programs can be effective in treating and preventing mental health problems. However, community engagement with these programs can be poor. Understanding the barriers and enablers of DMH program use may assist in identifying ways to increase the uptake of these programs, which have the potential to provide broad-scale prevention and treatment in the community.

OBJECTIVE

In this study, we aimed to identify and compare factors that may influence participation in DMH programs in practice and research trials, identify any respondent characteristics that are associated with these factors, and assess the relationship between intentions to use DMH programs and actual uptake.

METHODS

Australian adults aged ≥18 years were recruited from market research panels to participate in the study. The sample was representative of the Australian adult population based on age, gender, and location. Participants completed a cross-sectional web-based survey assessing demographic characteristics, mental health symptom measures, attitudes and use of DMH programs in practice and in research studies, and the factors influencing their use in both settings.

RESULTS

Across both research and practice, trust in the organization delivering the service or trial was the top-ranked factor influencing participation, followed by anonymity or privacy and adequate information. There was little variation in rankings across demographic groups, including intentions to use DMH programs or mental health status. Intentions to use DMH programs were a strong predictor of both current (odds ratio 2.50, 99% CI 1.41-4.43; P<.001) and past (odds ratio 2.98, 99% CI 1.71-5.19; P<.001) use behaviors.

CONCLUSIONS

Efforts to increase the uptake of DMH programs or participation in research trials should focus on clearly communicating the following to users: the legitimacy of the organization delivering the program, security and use of participant data, and effectiveness of DMH programs.

The effect of a therapeutic smartphone application on suicidal ideation in young adults: Findings from a randomized controlled trial in Australia

BACKGROUND

Suicidal ideation is a major risk for a suicide attempt in younger people, such that reducing severity of ideation is an important target for suicide prevention. Smartphone applications present a new opportunity for managing ideation in young adults; however, confirmatory evidence for efficacy from randomized trials is lacking. The objective of this study was to assess whether a therapeutic smartphone application ("LifeBuoy") was superior to an attention-matched control application at reducing the severity of suicidal ideation.

METHODS AND FINDINGS

In this 2-arm parallel, double-blind, randomized controlled trial, 455 young adults from Australia experiencing recent suicidal ideation and aged 18 to 25 years were randomly assigned in a 2:2 ratio to use a smartphone application for 6 weeks in May 2020, with the final follow-up in October 2020. The primary outcome was change in suicidal ideation symptom severity scores from baseline (T0) to postintervention (T1) and 3-month postintervention follow-up (T2), measured using the Suicidal Ideation Attributes Scale (SIDAS). Secondary outcomes were symptom changes in depression (Patient Health Questionnaire-9, PHQ-9), generalized anxiety (Generalized Anxiety Disorder-7, GAD-7), distress (Distress Questionnaire-5, DQ5), and well-being (Short Warwick-Edinburgh Mental Well-Being Scale, SWEMWBS). This trial was conducted online, using a targeted social media recruitment strategy. The intervention groups were provided with a self-guided smartphone application based on dialectical behavior therapy (DBT; "LifeBuoy") to improve emotion regulation and distress tolerance. The control group were provided a smartphone application that looked like LifeBuoy ("LifeBuoy-C"), but delivered general (nontherapeutic) information on a range of health and lifestyle topics. Among 228 participants randomized to LifeBuoy, 110 did not complete the final survey; among 227 participants randomized to the control condition, 91 did not complete the final survey. All randomized participants were included in the intent-to-treat analysis for the primary and secondary outcomes. There was a significant time × condition effect for suicidal ideation scores in favor of LifeBuoy at T1 (p < 0.001, d = 0.45) and T2 (p = 0.007, d = 0.34). There were no superior intervention effects for LifeBuoy on any secondary mental health outcomes from baseline to T1 or T2 [p-values: 0.069 to 0.896]. No serious adverse events (suicide attempts requiring medical care) were reported. The main limitations of the study are the lack of sample size calculations supporting the study to be powered to detect changes in secondary outcomes and a high attrition rate at T2, which may lead efficacy to be overestimated.

CONCLUSIONS

LifeBuoy was associated with superior improvements in suicidal ideation severity, but not secondary mental health outcomes, compared to the control application, LifeBuoy-C. Digital therapeutics may need to be purposefully designed to target a specific health outcome to have efficacy.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12619001671156.

Comprehensive database and individual patient data meta-analysis of randomised controlled trials on psychotherapies reducing suicidal thoughts and behaviour: study protocol

INTRODUCTION

Psychotherapy may reduce suicidal thoughts and behaviour, but its effectiveness is not well examined. Furthermore, conventional meta-analyses are unable to test possible effects of moderators affecting this relationship. This protocol outlines the building of a comprehensive database of the literature in this research field. In addition, we will conduct an individual patient data meta-analysis (IPD-MA) to establish the effectiveness of psychotherapy in reducing suicidality, and to examine which factors moderate the efficacy of these interventions.

METHODS AND ANALYSIS

To build a comprehensive database, randomised controlled trials examining the effect of any psychotherapy targeting any psychiatric disorder on suicidal thoughts or behaviour will be identified by running a systematic search in PubMed, Embase, PsycINFO, Web of Science, Scopus and The Cochrane Central Register of Controlled Trials from data inception to 12 August 2019. For the IPD-MA, we will focus on adult outpatients with suicidal ideation or behaviour. In addition, as a comparison group we will focus on a control group (waiting-list, care as usual or placebo). A 1-stage IPD-MA will be used to determine the effectiveness of psychotherapy on suicidal ideation, suicide attempts and/or suicide deaths, and to investigate potential patient-related and intervention-related moderators. Subgroup and sensitivity analyses will be conducted to test the robustness of the findings. Additionally, a conventional MA will be conducted to determine the differences between studies that provided IPD and those that did not. IPD-MA may determine the effectiveness of psychotherapy in reducing suicidality and provide insights into the moderating factors influencing the efficacy of psychotherapy. Answering these questions will inform mental healthcare practitioners about optimal treatments for different groups of individuals with suicidal ideation and/or behaviour and consequently help to reduce suicide risk.

ETHICS AND DISSEMINATION

An ethical approval is not required for this study. The results will be published in a peer-review journal.

PROSPERO REGISTRATION NUMBER

CRD42020140573.

Tailored implementation of internet-based cognitive behavioural therapy in the multinational context of the ImpleMentAll project: a study protocol for a stepped wedge cluster randomized trial

BACKGROUND

Internet-based Cognitive Behavioural Therapy (iCBT) is found effective in treating common mental disorders. However, the use of these interventions in routine care is limited. The international ImpleMentAll study is funded by the European Union's Horizon 2020 programme. It is concerned with studying and improving methods for implementing evidence-based iCBT services for common mental disorders in routine mental health care. A digitally accessible implementation toolkit (ItFits-toolkit) will be introduced to mental health care organizations with the aim to facilitate the ongoing implementation of iCBT services within local contexts. This study investigates the effectiveness of the ItFits-toolkit by comparing it to implementation-as-usual activities.

METHODS

A stepped wedge cluster randomized controlled trial (SWT) design will be applied. Over a trial period of 30 months, the ItFits-toolkit will be introduced sequentially in twelve routine mental health care organizations in primary and specialist care across nine countries in Europe and Australia. Repeated measures are applied to assess change over time in the outcome variables. The effectiveness of the ItFits-toolkit will be assessed in terms of the degree of normalization of the use of the iCBT services. Several exploratory outcomes including uptake of the iCBT services will be measured to feed the interpretation of the primary outcome. Data will be collected via a centralized data collection system and analysed using generalized linear mixed modelling. A qualitative process evaluation of routine implementation activities and the use of the ItFits-toolkit will be conducted within this study.

DISCUSSION

The ImpleMentAll study is a large-scale international research project designed to study the effectiveness of tailored implementation. Using a SWT design that allows to examine change over time, this study will investigate the effect of tailored implementation on the normalization of the use of iCBT services and their uptake. It will provide a better understanding of the process and methods of tailoring implementation strategies. If found effective, the ItFits-toolkit will be made accessible for mental health care service providers, to help them overcome their context-specific implementation challenges.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03652883 . Retrospectively registered on 29 August 2018.

A Mobile Health Intervention (LifeBuoy App) to Help Young People Manage Suicidal Thoughts: Protocol for a Mixed-Methods Randomized Controlled Trial

BACKGROUND

Self-help smartphone apps offer a new opportunity to address youth suicide prevention by improving access to support and by providing potentially high fidelity and cost-effective treatment. However, there have been very few smartphone apps providing evidence-based support for suicide prevention in this population. To address this gap, we developed the LifeBuoy app, a self-help smartphone app informed by dialectical behavior therapy (DBT), to help young people manage suicidal thoughts in their daily life.

OBJECTIVE

This study describes the protocol for a randomized controlled trial to evaluate the efficacy of the LifeBuoy app for reducing suicidal thoughts and behaviors, depression, anxiety, and psychological distress, and improving general mental well-being in young adults aged 18 to 25 years.

METHODS

This is a randomized controlled trial recruiting 378 young adults aged between 18 and 25 years and comparing the LifeBuoy app with a matched attention control (a placebo app with the same display but no DBT components). The primary outcome is suicidal thoughts measured by the Suicidal Ideation Attributes Scale (SIDAS). The secondary outcomes are suicidal behavior, depression, anxiety, psychological distress, and general mental well-being. The changes in the levels of insomnia, rumination, suicide cognitions, distress tolerance, loneliness, and help seeking before and after using the app are evaluated in this study. The study also addresses risk factors and responses to the intervention. A series of items assessing COVID-19 experiences is included in the trial to capture the potential impact of the pandemic on this study. Assessments will occur on the following three occasions: baseline, postintervention, and follow-up at 3 months postintervention. A qualitative interview about user experience with the LifeBuoy app will take place within 4 weeks of the final assessment. Using linear mixed models, the primary analysis will compare the changes in suicidal thoughts in the intervention condition relative to the control condition. To minimize risks, participants will receive a call from the team clinical psychologist by clicking a help button in the app or responding to an automated email sent by the system when they are assessed with elevated suicide risks at the baseline, postintervention, and 3-month follow-up surveys.

RESULTS

The trial recruitment started in May 2020. Data collection is currently ongoing.

CONCLUSIONS

This is the first trial examining the efficacy of a DBT-informed smartphone app delivered to community-living young adults reporting suicidal thoughts. This trial will extend knowledge about the efficacy and acceptability of app-based support for suicidal thoughts in young people.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12619001671156; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378366.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/23655.

A Systematic Review of Mass Media Campaigns for Suicide Prevention: Understanding Their Efficacy and the Mechanisms Needed for Successful Behavioral and Literacy Change

Mass media campaigns are increasingly seen as an important part of suicide prevention; however, despite their popularity, their efficacy is not well understood. The current review aimed to address key knowledge gaps regarding how mass media campaigns can be optimized to prevent suicide, by looking at their global efficacy, and mechanisms related to successful outcomes. A systematic review of the international literature examined studies which evaluated mass media campaigns targeted at suicide prevention, where suicide behaviors (mortality, attempts) or suicide literacy (knowledge, attitudes, help-seeking) was identified as a primary outcome. Thirteen articles describing 12 unique campaigns met eligibility criteria. For behavioral outcomes, mass media campaigns appear to be most effective when delivered as part of a multicomponent suicide prevention strategy, while "standalone campaigns" were modestly useful for increasing suicide literacy. Level of exposure, repeat exposure, and community engagement appeared to be fundamental to the success of these campaigns; however, these constructs were poorly adhered to in the development and implementation of campaigns. Overall, the mixed quality of the included studies highlights a need for increased quantity, consistency, and quality of evaluations to advance the evidence base.

Preventing Depression in Final Year Secondary Students: School-Based Randomized Controlled Trial

Background

Depression often emerges for the first time during adolescence. There is accumulating evidence that universal depression prevention programs may have the capacity to reduce the impact of depression when delivered in the school environment.

Objective

This trial investigated the effectiveness of SPARX-R, a gamified online cognitive behavior therapy intervention for the prevention of depression relative to an attention-matched control intervention delivered to students prior to facing a significant stressor—final secondary school exams. It was hypothesized that delivering a prevention intervention in advance of a stressor would reduce depressive symptoms relative to the control group.

Methods

A cluster randomized controlled trial was conducted in 10 government schools in Sydney, Australia. Participants were 540 final year secondary students (mean 16.7 [SD 0.51] years), and clusters at the school level were randomly allocated to SPARX-R or the control intervention. Interventions were delivered weekly in 7 modules, each taking approximately 20 to 30 minutes to complete. The primary outcome was symptoms of depression as measured by the Major Depression Inventory. Intention-to-treat analyses were performed.

Results

Compared to controls, participants in the SPARX-R condition (n=242) showed significantly reduced depression symptoms relative to the control (n=298) at post-intervention (Cohen d=0.29) and 6 months post-baseline (d=0.21) but not at 18 months post-baseline (d=0.33).

Conclusions

This is the first trial to demonstrate a preventive effect on depressive symptoms prior to a significant and universal stressor in adolescents. It demonstrates that an online intervention delivered in advance of a stressful experience can reduce the impact of such an event on the potential development or exacerbation of depression.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12614000316606; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=365986 (Archived by WebCite at http://www.webcitation.org/ 6u7ou1aI9)

Developing and Validating a Computerized Adaptive Test to Measure Broad and Specific Factors of Internalizing in a Community Sample

Highly efficient assessments that better account for comorbidity between mood and anxiety disorders (internalizing) are required to identify individuals who are most at risk of psychopathology in the community. The current study examined the efficiency and validity associated with a multidimensional computerized adaptive test (CAT) to measure broad and specific levels of internalizing psychopathology. The sample comprised 3,175 respondents to an online survey. Items from five banks (generalized anxiety, depression, obsessive-compulsive disorder, panic disorder, social anxiety disorder) were jointly calibrated using a bifactor item response theory model. Simulations indicated that an adaptive algorithm could accurately (rs ≥ 0.90) estimate general internalizing and specific disorder scores using on average 44 items in comparison with the full 133-item bank (67% reduction in items). Scores on the CAT demonstrate convergent and divergent validity with previously validated short severity scales and could significantly differentiate cases of DSM-5 disorder. As such, the CAT validly measures both broad and specific constructs of internalizing disorders in a manner similar to the full item bank and a static brief form but with greater gains in efficiency and, therefore, a reduced degree of respondent burden.

Network approach to the symptom-level association between alcohol use disorder and posttraumatic stress disorder

PURPOSE

The high prevalence of alcohol use disorder among individuals with a history of trauma and posttraumatic stress disorder is well documented. The current study applied network analysis to map the structure of symptom associations between these disorders.

METHODS

Data come from a community sample of 449 Australian adults with a history of trauma and alcohol consumption during the last 12 months. Data analysis consisted of the construction of the comorbidity network of PTSD/AUD symptoms, identification of the bridging symptoms, computation of the centrality measures, and evaluation of the robustness of the results.

RESULTS

Results highlighted two main symptom clusters, corresponding to two disorders, and that only nine edges connected the two clusters. Bridging symptoms connecting the two clusters were: alcohol use in dangerous situations, physical or mental health problems as a result of alcohol use, loss of interest or reduced social activities, and reckless/self-destructive behaviour.

CONCLUSIONS

Identification of both central symptoms, because of their key role in the constellation and strong associations with majority of symptoms, and bridge symptoms, because of their mediating role between two disorders, has some implications in terms of self-medication and risk-taking/self-regulation theories of comorbidity and provides a number of clinical implications, which warrants further exploration within clinical samples.

Talking suicide on Twitter: Linguistic style and language processes of suicide-related posts

Introduction

Suicide is a leading cause of death worldwide and is largely preventable. The social media site Twitter is used by individuals to express suicidal intentions. It is not yet feasible to contact each Twitter user to confirm risk. Instead, it may be possible to validate risk by linguistic analysis. Psychological linguistic theory suggests that language is a reliable way of measuring people's internal thoughts and emotions; however, the linguistics of suicidality on Twitter is yet to be fully explored.

Objectives & aim

The aim of this study is to characterise the linguistic styles of suicide-related posts on Twitter for the purposes of predicting suicide risk.

Methods

The Linguistic Inquiry and Word Count (LIWC) program was used to compare the linguistic features of suicide-related tweets previously coded for suicide risk by humans with a set of matched controls. Logistic regression was then used for predictive modelling.

Results

The suicide-related tweets had significantly different linguistic profiles to the control tweets. The “strongly concerning” suicide tweets were found to have fewer words than all other tweets and not surprisingly, references to ‘death’ were significantly higher in this group. A number of other results were found. The final model which distinguished “strongly concerning” suicide risk from the controls was found to have 97.7% sensitivity and 99.8% specificity.

Conclusions

This study confirms that the linguistic features of suicide-related Twitter posts are different from general Twitter posts and that these linguistic profiles may be used to predict suicide risk in Twitter users.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Technology-based interventions for mental health in tertiary students: systematic review

Background

Mental disorders are responsible for a high level of disability burden in students attending university. However, many universities have limited resources available to support student mental health. Technology-based interventions may be highly relevant to university populations. Previous reviews have targeted substance use and eating disorders in tertiary students. However, the effectiveness of technology-based interventions for other mental disorders and related issues has not been reviewed.

Objective

To systematically review published randomized trials of technology-based interventions evaluated in a university setting for disorders other than substance use and eating disorders.

Methods

The PubMed, PsycInfo, and Cochrane Central Register of Controlled Trials databases were searched using keywords, phrases, and MeSH terms. Retrieved abstracts (n=1618) were double screened and coded. Included studies met the following criteria: (1) the study was a randomized trial or a randomized controlled trial, (2) the sample was composed of students attending a tertiary institution, (3) the intervention was delivered by or accessed using a technological device or process, (4) the age range of the sample was between 18 and 25 years, and (5) the intervention was designed to improve, reduce, or change symptoms relating to a mental disorder.

Results

A total of 27 studies met inclusion criteria for the present review. Most of the studies (24/27, 89%) employed interventions targeting anxiety symptoms or disorders or stress, although almost one-third (7/24, 29%) targeted both depression and anxiety. There were a total of 51 technology-based interventions employed across the 27 studies. Overall, approximately half (24/51, 47%) were associated with at least 1 significant positive outcome compared with the control at postintervention. However, 29% (15/51) failed to find a significant effect. Effect sizes were calculated for the 18 of 51 interventions that provided sufficient data. Median effect size was 0.54 (range –0.07 to 3.04) for 8 interventions targeting depression and anxiety symptoms and 0.84 (range –0.07 to 2.66) for 10 interventions targeting anxiety symptoms and disorders. Internet-based technology (typically involving cognitive behavioral therapy) was the most commonly employed medium, being employed in 16 of 27 studies and approximately half of the 51 technology-based interventions (25/51, 49%). Distal and universal preventive interventions were the most common type of intervention. Some methodological problems were evident in the studies, with randomization methods either inadequate or inadequately described, few studies specifying a primary outcome, and most of the studies failing to undertake or report appropriate intent-to-treat analyses.

Conclusions

The findings of this review indicate that although technological interventions targeting certain mental health and related problems offer promise for students in university settings, more high quality trials that fully report randomization methods, outcome data, and data analysis methods are needed.

Suicide prevention in schizophrenia spectrum disorders and psychosis: a systematic review

BACKGROUND

The incidence of suicide is high among patients with schizophrenia spectrum disorders and psychosis. A systematic review was performed to investigate the effectiveness of psychosocial interventions in reducing suicidal behaviour among patients with schizophrenia spectrum disorders and psychosis.

METHODS

Cochrane, PubMed and PsycINFO databases were searched to January 2012. Additional materials were obtained from reference lists. Randomised Controlled Trials describing psychosocial interventions for psychotic disorders with attention placebo, treatment as usual (TAU), no intervention or waitlist control groups were included.

RESULTS

In total, 11,521 abstracts were identified. Of those, 10 papers describing 11 trials targeting psychosocial interventions for reducing suicidal behaviour in patients with schizophrenia spectrum disorders and psychosic symptoms or disorders met the inclusion criteria. Odds Ratios describing the likelihood of a reduction in suicidal behaviour or ideation ranged from 0.09 to 1.72 at post-test and 0.13 to 1.48 at follow-up.

CONCLUSIONS

Psychosocial interventions may be effective in reducing suicidal behaviour in patients with schizophrenia spectrum disorders and psychosis, although the additional benefit of these interventions above that contributed by a control condition or treatment-as-usual is not clear.