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As the attitudes of healthcare staff are thought to influence the quality and effectiveness of interventions targeting patients' suicide risk, attitudes are often used as an outcome in the evaluation of suicide-preventive training. Due to various problems related to the validity and reliability of commonly used scales, there is a lack of overall agreement on how to measure these attitudes. Confirmatory factor analysis (CFA) was used to cross-validate previously used models and to investigate new models to measure professionals' attitudes toward work with suicidal individuals and to test the longitudinal stability of the models by analyzing new sets of data. The population in the first study consisted of a heterogenous group of 1350 professionals who managed suicidal individuals relatively frequently. The second study included 640 professionals. The results of the cross-validation of previous models were described and a new questionnaire measuring attitudes toward suicide prevention, suicidal individuals, and organizational-facilitated self-efficacy (OSAQ-12) was presented. The three presented models retained a good fit and were stable over time. Valid and reliable measurement models that measure aspects of attitudes toward suicide are a prerequisite for conducting both cross-sectional and intervention studies.

Background: Predictions of two different models for suicide attempts (SA) over 12 months, as differentially impacted by specific school-based suicide prevention interventions, were compared. These were as follows: (a) interpersonal theory (IPTS) and (b) a two-pathway model, one path associated with externalizing symptoms and continuum of self-harm behaviors, and the other with internalizing symptoms., Methods: Self-report questionnaires were completed by 11,110 high school students from ten EU countries enrolled in the Saving and Empowering Young Lives in Europe (SEYLE) study. Baseline measures included perceived burdensomeness, thwarted belongingness from parents and peers, health risk behaviors, self-injury, suicide ideation (SI), and attempts (SA). SI and SA were reassessed at 12-month follow-up. Each model's predictions of SI and SA groups over time (i.e., repeated SA, remitted SA, SA onset, and no SA) were estimated in the no intervention/control group. The superior model was estimated across intervention groups., Results: Interpersonal theory showed better fit compared to the two-pathway model. In partial agreement with IPTS predictions, parental low belongingness but not peer belongingness or burdensomeness predicted greater likelihood of SI. The likelihood of repeated SA versus no SA was higher among adolescents who reported SI, self-injury, risk behaviors, and particularly both SI and self-injury. All three interventions attenuated the combined effect of SI and self-injury. Youth Aware of Mental Health Program (YAM) additionally decreased the effect of risk behaviors on the likelihood of repeated SA., Conclusions: Interpersonal theory assumptions were partially supported. Perceived interpersonal difficulties with parents were primarily related with SI, and risk behaviors and self-injury were important predictors of SA. Suicide prevention interventions may be effective by mitigating the hazardous effect of varying self-harm behaviors and may be further advanced by increasing parental involvement., (© 2019 Association for Child and Adolescent Mental Health.)

Background: Since the mid-1990s concerns have been raised regarding the possible links between suicide and the Internet, especially among adolescents and young adults., Aims: To identify the nature and extent of the scientific publications, especially original research studies, on suicide and the Internet, and to investigate how the field has developed over time. In particular, this mapping study looks at types of publications, topic areas, focus of original research papers, and suicide-related variables of interest in publications., Method: A search of three major databases (PubMED, PsycINFO, and Sociological Abstracts) was conducted to identify papers published until the end of January 2015., Results: The study identified 237 publications on suicide and the Internet published from 1997 to the end of January 2015. These included 122 original research papers. The three most frequent topic areas covered in publications were searching for information on suicide, online interventions, and online suicide-related behaviors. The online mediums most frequently studied were online forums/message boards, search engines, intervention and information websites, and social media., Limitations: The mapping study did not include an analysis of results of research studies and did not assess their quality., Conclusion: The field is rapidly evolving, as seen in the recent increase in the number of publications. However, there are gaps in terms of the countries where research is conducted and the coverage of topics.

Suicide-preventive training has shown to influence attitudes. This study aimed at investigating what impact other factors than knowledge might have on attitudes towards work with suicidal patients and suicide prevention. In 2007, 500 health-care staff working in a psychiatric clinic in Stockholm received a questionnaire with items concerning work with suicidal patients to which 358 (71.6%) responded. A set of attitude items were tested using structural equation modelling (LISREL). Three models were found to be satisfactory valid and reliable: Job clarity, Job confidence and Attitudes towards prevention. These were then used in regression analyses as dependent variables with predictors such as experience of work with suicidal patients, perceived sufficient training, age and gender. Perceived sufficient training was consistently the most important predictor for all three attitude concepts (p < 0.01, β = 0.559 for Job clarity; p < 0.01, β = 0.53 for Job confidence; p < 0.01, β = 0.191 for Attitudes towards prevention). Age was another significant predictor for Job clarity (p < 0.05, β = 0.134), as was experience of patient suicide for Job confidence (p < 0.05, β = 0.137). It is concluded that providing suicide preventive education is likely to improve attitudes towards the prevention of suicide, clarity and confidence regarding their role in the care for suicidal patients. These improvements may contribute to the prevention of suicide in health care settings.

Reading books and watching films were investigated as protective factors for serious suicidal ideation (SSI) in young people with low perceived social belonging. Cross-sectional and longitudinal (12-month) analyses were performed using data from a representative European sample of 3256 students from the "Saving and Empowering Young Lives in Europe" study. Low social belonging was associated to SSI. However, reading books and watching films moderated this association, especially for those with lowest levels of belonging. This was true both at baseline and at 12 months of follow-up analyses. These media may act as sources of social support or mental health literacy and thus reduce the suicide risk constituted by low sense of belonging.

Background: Suicidal behaviours in adolescents are a major public health problem and evidence-based prevention programmes are greatly needed. We aimed to investigate the efficacy of school-based preventive interventions of suicidal behaviours., Methods: The Saving and Empowering Young Lives in Europe (SEYLE) study is a multicentre, cluster-randomised controlled trial. The SEYLE sample consisted of 11,110 adolescent pupils, median age 15 years (IQR 14-15), recruited from 168 schools in ten European Union countries. We randomly assigned the schools to one of three interventions or a control group. The interventions were: (1) Question, Persuade, and Refer (QPR), a gatekeeper training module targeting teachers and other school personnel, (2) the Youth Aware of Mental Health Programme (YAM) targeting pupils, and (3) screening by professionals (ProfScreen) with referral of at-risk pupils. Each school was randomly assigned by random number generator to participate in one intervention (or control) group only and was unaware of the interventions undertaken in the other three trial groups. The primary outcome measure was the number of suicide attempt(s) made by 3 month and 12 month follow-up. Analysis included all pupils with data available at each timepoint, excluding those who had ever attempted suicide or who had shown severe suicidal ideation during the 2 weeks before baseline. This study is registered with the German Clinical Trials Registry, number DRKS00000214., Findings: Between Nov 1, 2009, and Dec 14, 2010, 168 schools (11,110 pupils) were randomly assigned to interventions (40 schools [2692 pupils] to QPR, 45 [2721] YAM, 43 [2764] ProfScreen, and 40 [2933] control). No significant differences between intervention groups and the control group were recorded at the 3 month follow-up. At the 12 month follow-up, YAM was associated with a significant reduction of incident suicide attempts (odds ratios [OR] 0·45, 95% CI 0·24-0·85; p=0·014) and severe suicidal ideation (0·50, 0·27-0·92; p=0·025), compared with the control group. 14 pupils (0·70%) reported incident suicide attempts at the 12 month follow-up in the YAM versus 34 (1·51%) in the control group, and 15 pupils (0·75%) reported incident severe suicidal ideation in the YAM group versus 31 (1·37%) in the control group. No participants completed suicide during the study period., Interpretation: YAM was effective in reducing the number of suicide attempts and severe suicidal ideation in school-based adolescents. These findings underline the benefit of this universal suicide preventive intervention in schools., Funding: Coordination Theme 1 (Health) of the European Union Seventh Framework Programme., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Suicide, one of the top causes of life lost in developed countries, is a major health problem, especially today, with the dramatic increase in mental health difficulties that was triggered during the Coronavirus pandemic (COVID-19). Opportunely, the recent emergence of internet-based crowdsourcing platforms (e.g., Amazon's Mechanical Turk) may accelerate research on suicide prevention, however, this type of suicide research online involves a difficult ethical challenge: how to keep participants' safe without compromising their privacy. To address this ethical challenge, a consortium of experts from multiple research institutions was assembled. The consortium discussed the advantages and disadvantages for participants involved in crowdsourcing-based studies that address suicide risk. This discussion resulted in a consensual step-by-step protocol for researchers who wish to conduct suicide research online, using the crowdsourcing platforms. This article provides a detailed description of the protocol and outlines key ethical arguments that led to its formulation. Unresolved issues are discussed as well and other researchers are encouraged to implement the proposed protocol and suggest further improvements. It is our hope that the current protocol will facilitate the research on large and diverse populations online and thus contribute to the global efforts to reduce suicide rates around the world. [ABSTRACT FROM AUTHOR]

• Means restriction by, for example, physical barriers is promising for suicide prevention. • Suicides at high-speed tracks at stations were the main cause of death. • Mid-track fencing restricted easy access to high-speed tracks at a station. • Mid-track fencing reduced the number of suicide at a station by 62.5%. • Certain suicides may have been transferred to nearby stations without mid-track fencing. Background: Suicides in the railway system is a serious health, societal, and transportation concern. Restriction of the access to suicide methods in the form of different physical barriers is a promising approach for suicide prevention. Method: Mid-track fencing, which is fencing placed in-between the high-speed and commuter train tracks, was installed at one out of seven stations along a train line outside of Stockholm in the years 2013/2014. The number of suicides at the intervention station was compared to six other stations used as controls, over a total period of 20 years (2002–2021). Results: Suicides at high-speed tracks occurring at stations was the major cause of death on the investigated railway line. Prior to the year 2014, the intervention and control stations displayed similar time trends in the number of suicides. After installation of the mid-track fencing in 2014, there was a 62.5% reduction in the rate of suicides occurring at the intervention station. Compared to the six other control stations, the intervention station displayed a significant reduction in the number of suicides during the years 2014–2021 (OR = 0.14, 95%CI 0.013–0.95). Suicides at the railway lines in-between stations were not increased post-intervention. However, nearby control stations showed a 162% increase in suicides after the intervention, suggesting the induction of transfer effects. Conclusion : Mid-track fences restricting access to high-speed train tracks may have a large effect on reducing the number of railway suicides at intervention stations, but may also induce an increase in suicides at nearby stations without mid-track fences. Practical applications: Partial physical barriers such as mid-track fencing is deemed to be relatively easy and cheap to install (as compared to full barriers; e.g., full height platform screen doors) and should be considered at all stations on railway lines that have high-speed trains passing by. [ABSTRACT FROM AUTHOR]

Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, and tested in a wide variety of populations, but studies show that these tools suffer from low positive predictive values. More recently, advances in research fields such as machine learning and natural language processing applied on large datasets have shown promising results for health care, and may enable an important shift in advancing precision medicine. In this conceptual review, we discuss established risk assessment tools and examples of novel data-driven approaches that have been used for identification of suicidal behavior and risk. We provide a perspective on the strengths and weaknesses of these applications to mental health-related data, and suggest research directions to enable improvement in clinical practice. [ABSTRACT FROM AUTHOR]