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Suicide is a serious public health concern. On average, 80% of suicide decedents had contact with primary care within one year of their suicide. This and other research underscore the importance of screening for suicide risk within primary care settings, and implementation of suicide risk screening is already underway in many practices. However, while primary care practices may be familiar with screening for other mental health concerns (e.g., depression), many feel uncomfortable or unprepared for suicide risk screening. To meet the increasing demand for evidence-based suicide-risk screening guidance, we provide a clinical pathway for adult primary care practices (to include family medicine, internal medicine, women's health). The pathway was developed by experts with research, clinical expertise and experience in suicide risk screening and primary care. We also provide detailed guidance to aid primary care practices in their decisions about how to implement the clinical pathway.

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BACKGROUND: The period after psychiatric hospital discharge is one of elevated risk for suicide-related behaviors (SRBs). Post-discharge clinical outreach, although potentially effective in preventing SRBs, would be more cost-effective if targeted at high-risk patients. To this end, a machine learning model was developed to predict post-discharge suicides among Veterans Health Administration (VHA) psychiatric inpatients and target a high-risk preventive intervention. METHODS: The Veterans Coordinated Community Care (3C) Study is a multicenter randomized controlled trial using this model to identify high-risk VHA psychiatric inpatients (n = 850) randomized with equal allocation to either the Coping Long Term with Active Suicide Program (CLASP) post-discharge clinical outreach intervention or treatment-as-usual (TAU). The primary outcome is SRBs over a 6-month follow-up. We will estimate average treatment effects adjusted for loss to follow-up and investigate the possibility of heterogeneity of treatment effects. RESULTS: Recruitment is underway and will end September 2024. Six-month follow-up will end and analysis will begin in Summer 2025. CONCLUSION: Results will provide information about the effectiveness of CLASP versus TAU in reducing post-discharge SRBs and provide guidance to VHA clinicians and policymakers about the implications of targeted use of CLASP among high-risk psychiatric inpatients in the months after hospital discharge. CLINICAL TRIALS REGISTRATION: ClinicalTrials.Gov identifier: NCT05272176 (https://www. CLINICALTRIALS: gov/ct2/show/NCT05272176).

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BACKGROUND: Men at risk for suicide are a challenging population group to reach with suicide prevention strategies. Gatekeepers hold a pivotal role in the prevention of male suicide, yet effective intervention requires them to have a level of knowledge and strategies to provide support. AIM: This study aimed to examine the efficacy of an online gatekeeper program for gatekeepers in male suicide prevention, assessing knowledge, perceived preparedness, self-efficacy, and psychopathological symptoms of gatekeepers. METHODS: Eighty-four participants were randomized to either the intervention (n = 43) or the waitlist control group (n = 41). The intervention comprised four modules providing knowledge and strategies for addressing men in suicidal crises. Outcomes included depression (PHQ-9), distress (PSS-10), burden (BAS), involvement (IEQ), as well as gatekeeper outcomes and knowledge. RESULTS: Completer analyses revealed significant improvement of depressive symptoms (d = 0.39) and an increase in gatekeeper outcomes (d = 0.58 to d = 0.84) and knowledge (d = 0.62) from baseline to post-assessment. The effects were maintained for 3 months. No significant effects could be found for burden, distress, and involvement. CONCLUSIONS: The findings indicate that a brief gatekeeper program can serve as a valuable resource. Future research should focus on examining the mental health of gatekeepers themselves and its long-term effects on intervention behavior. TRIAL REGISTRATION: German Clinical Trials Register, DRKS00030758, registered on 05.12.2022.

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Washington, D.C., 9 de setembro de 2024 (OPAS) — No âmbito do Dia Mundial de Prevenção do Suicídio, marcado em 10 de setembro, o diretor da Organização Pan-Americana da Saúde (OPAS), Jarbas Barbosa, fez um chamado à ação para substituir a narrativa estigmatizante em torno suicídio e fomentar uma cultura de apoio e compreensão. Nas Américas, quase 100 mil pessoas morrem por suicídio a cada ano e muitas mais enfrentam pensamentos e comportamentos suicidas.

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Nesta quinta-feira (19), o Ministério da Saúde lançou a primeira versão em português do Viver a Vida - Guia de Implementação para a Prevenção do Suicídio nos Países, em parceria com a Organização Pan-Americana de Saúde (Opas). A publicação, que apresenta a abordagem criada pela Organização Mundial da Saúde (OMS) para orientar países na implementação de medidas coletivas de prevenção ao suicídio, foi apresentada em um webinário voltado a gestores e profissionais da saúde.

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The purpose of this manuscript was to discuss the implementation process of a student-led positive psychological and behavioral program (i.e., Sources of Strength) at a local high school to prevent opioid use and suicide behavior. Over the course of 2 years of programming, university undergraduate students worked alongside and mentored high school students to implement school-wide and focused campaigns that targeted each of the domains of the Sources of Strength wheel (i.e., mental health, family support, positive friends, mentors, healthy activities, generosity, spirituality, and medical access). The summed total student reach for 2 years of implementation was 8,682 students. The average participation was 456.95 students per campaign. The average percentage of the school population that engaged in each campaign was 34.7%. While no outcome opioid use or suicide behavior data were collected, the participation in the programming was high. Universities can continue to engage with local high schools to provide support, collaboration, and mentorship to promote positive and supportive school culture. Using university undergraduate students to serve as leaders can provide them with applied learning opportunities, mentorship for high school students, and reduce the expectancy for high school staff to establish the program on their own.

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Suicidality remains a clear and present danger in society in general, and for mental health patients in particular. Lack of widespread use of objective and/or quantitative information has hampered treatment and prevention efforts. Suicidality is a spectrum of severity from vague thoughts that life is not worth living, to ideation, plans, attempts, and completion. Blood biomarkers that track suicidality risk provide a window into the biology of suicidality, as well as could help with assessment and treatment. Previous studies by us were positive. Here we describe new studies we conducted transdiagnostically in psychiatric patients, starting with the whole genome, to expand the identification, prioritization, validation and testing of blood gene expression biomarkers for suicidality, using a multiple independent cohorts design. We found new as well as previously known biomarkers that were predictive of high suicidality states, and of future psychiatric hospitalizations related to them, using cross-sectional and longitudinal approaches. The overall top increased in expression biomarker was SLC6A4, the serotonin transporter. The top decreased biomarker was TINF2, a gene whose mutations result in very short telomeres. The top biological pathways were related to apoptosis. The top upstream regulator was prednisolone. Taken together, our data supports the possibility that biologically, suicidality is an extreme stress-driven form of active aging/death. Consistent with that, the top subtypes of suicidality identified by us just based on clinical measures had high stress and high anxiety. Top therapeutic matches overall were lithium, clozapine and ketamine, with lithium stronger in females and clozapine stronger in males. Drug repurposing bioinformatic analyses identified the potential of renin-angiotensin system modulators and of cyclooxygenase inhibitors. Additionally, we show how patient reports for doctors would look based on blood biomarkers testing, personalized by gender. We also integrated with the blood biomarker testing social determinants and psychological measures (CFI-S, suicidal ideation), showing synergy. Lastly, we compared that to machine learning approaches, to optimize predictive ability and identify key features. We propose that our findings and comprehensive approach can have transformative clinical utility.

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Over 700,000 people die by suicide annually. Collecting longitudinal fine-grained data about at-risk individuals, as they occur in the real world, can enhance our understanding of the temporal dynamics of suicide risk, leading to better identification of those in need of immediate intervention. Self-assessment questionnaires were collected over time from 89 at-risk individuals using the EMMA smartphone application. An artificial intelligence (AI) model was trained to assess current level of suicidal ideation (SI), an early indicator of the suicide risk, and to predict its progression in the following days. A key challenge was the unevenly spaced and incomplete nature of the time series data. To address this, the AI was built on a missing value imputation algorithm. The AI successfully distinguished high SI levels from low SI levels both on the current day (AUC = 0.804, F1 = 0.625, MCC = 0.459) and three days in advance (AUC = 0.769, F1 = 0.576, MCC = 0.386). Besides past SI levels, the most significant questions were related to psychological pain, well-being, agitation, emotional tension, and protective factors such as contacts with relatives and leisure activities. This represents a promising step towards early AI-based suicide risk prediction using a smartphone application.

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Background: Every month, around 3800 people complete an anonymous self-test for suicidal thoughts on the website of the Dutch suicide prevention helpline. Although 70% score high on the severity of suicidal thoughts, <10% navigate to the web page about contacting the helpline. Objective: This study aimed to test the effectiveness of a brief barrier reduction intervention (BRI) in motivating people with severe suicidal thoughts to contact the suicide prevention helpline, specifically in high-risk groups such as men and middle-aged people. Methods: We conducted a fully automated, web-based, randomized controlled trial. Respondents with severe suicidal thoughts and little motivation to contact the helpline were randomly allocated either to a brief BRI, in which they received a short, tailored message based on their self-reported barrier to the helpline (n=610), or a general advisory text (care as usual as the control group: n=612). Effectiveness was evaluated using both behavioral and attitudinal measurements. The primary outcome measure was the use of a direct link to contact the helpline after completing the intervention or control condition. Secondary outcomes were the self-reported likelihood of contacting the helpline and satisfaction with the received self-test. Results: In total, 2124 website visitors completed the Suicidal Ideation Attributes Scale and the demographic questions in the entry screening questionnaire. Among them, 1222 were randomized into the intervention or control group. Eventually, 772 respondents completed the randomized controlled trial (intervention group: n=369; control group: n=403). The most selected barrier in both groups was "I don't think that my problems are serious enough." At the end of the trial, 33.1% (n=122) of the respondents in the intervention group used the direct link to the helpline. This was not significantly different from the respondents in the control group (144/403, 35.7%; odds ratio 0.87, 95% CI 0.64-1.18, P=.38). However, the respondents who received the BRI did score higher on their self-reported likelihood of contacting the helpline at a later point in time (B=0.22, 95% CI 0.12-0.32, P≤.001) and on satisfaction with the self-test (B=0.27, 95% CI 0.01-0.53, P=.04). For male and middle-aged respondents specifically, the results were comparable to that of the whole group. Conclusions: This trial was the first time the helpline was able to connect with high-risk website visitors who were hesitant to contact the helpline. Although the BRI could not ensure that those respondents immediately used the direct link to the helpline at the end of the trial, it is encouraging that respondents indicated that they were more likely to contact the helpline at a later point in time. In addition, this low-cost intervention provided greater insight into the perceived barriers to service. Follow-up research should be focused on identifying the added value of other components (eg, video or photo material) in the BRI and increasing its effectiveness, especially for men and middle-aged people.

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AIM: To describe nurses' experiences of working with suicide prevention and suicide risk assessment in the care of older people. BACKGROUND: Suicide is a problem among older people, worldwide. Risk factors for suicide are, among others, depression, illness and pain and a feeling of isolation. Nurses have valuable experience in suicide prevention and risk assessments. This study can shed light on what is needed to promote the mental health of older people, which has been partly overlooked in previous research. METHODS/DESIGN: A descriptive qualitative study was conducted. Ten nurses working in care of older people across four different municipalities were interviewed. Conventional content analysis was used to analyse the data. RESULTS: Despite shortcomings in guidelines, nurses describe performing suicide risk assessments and suicide prevention in a similar manner. The importance of giving the patients time is emphasised, although time is exactly what appears to be lacking. CONCLUSION: By engaging with the experiences of nurses, important aspects that require further attention are highlighted. Nurses should inquire about suicidal ideation, even if older persons do not explicitly express such thoughts. Normal ageing needs to be comprehended and considered in assessments. In this work, time is important. PATIENT OR PUBLIC CONTRIBUTION: The results were coproduced by means of interviews with nurses working in care of older people. REPORTING METHOD: The study was conducted in accordance with the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines. IMPLICATIONS FOR PRACTICE: Encountering older people who may have experienced the loss of loved ones and addressing one's personal capabilities in the context of the ageing body imposes substantial challenges on nursing care, necessitating a capacity to adeptly navigate and address these complex issues.

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LGBTQIA+ youth are disproportionately affected by mental health issues including suicidal ideation and suicide attempts. Minoritized youth have numerous social and structural factors influencing their health, including a lack of access to care and resources. However, these youth and their caregivers also have many unique and individual cultural strengths. Awareness of special considerations and work toward dismantling structural drivers is essential in improving the health of these youth. Additionally, it is important to support minoritized youth and their caregivers through tailored evidence-based treatments in addressing social and structural drivers to influence individual, community, educational, institutional, and policy levels and prevent suicide in achieving mental health equity.

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At present, suicidal patients are still hospitalized to reduce their risk of committing a life-threatening act. Yet suicide research, long dominated by the ambition to identify people at risk, shows that the prediction model is largely ineffective. The time has come for a paradigm shift to: give up categorizing patients according to their risk; recognize that hospitalization, if not accompanied by a well-defined purpose, can become iatrogenic; formulate achievable short-term objectives, guiding such hospitalizations on the basis of a reproducible empirical model and demonstrating its benefits beyond keeping the patient alive. Interventions aim thus to reduce distress, personalize care and promote the change required by the suicidal crisis.

À l'heure actuelle, des patients suicidaires sont encore hospitalisés pour réduire leur risque de commettre une action mettant leur vie en péril. Or, la recherche sur le suicide, longtemps dominée par l'ambition d'identifier les personnes à risque, montre que le modèle de la prédiction s'avère largement inefficace à les distinguer. L'heure est au changement de paradigme afin de : renoncer à catégoriser les patients selon leur risque ; reconnaître qu'une hospitalisation, si elle n'est pas accompagnée dobjectifs bien définis, peut devenir iatrogène ; formuler des objectifs à court terme guidant ces hospitalisations sur la base d'un modèle empirique reproductible et montrant ses bienfaits au-delà du maintien en vie du patient. Les interventions visent ainsi à diminuer la détresse, personnaliser le soin et promouvoir le changement exigé par la crise suicidaire.

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AIMS: Restricting access to means by installing physical barriers has been shown to be the most effective intervention in preventing jumping suicides on bridges. However, little is known about the effectiveness of partial restriction with interventions that still allow jumping from the bridge. METHODS: This study used a quasi-experimental design. Public sites that met our inclusion criteria were identified using Google search and data on jumping suicides on Bridge A (South Korea), Bridges B and C (the United States) and Bridge D (Canada) were obtained from the relevant datasets. Incidence rate ratios (IRRs) were estimated using Poisson regressions comparing suicide numbers before and after the installation of physical structures at each site. RESULTS: Fences with sensor wires and spinning handrails installed above existing railings on the Bridge A, and fences at each side of the entrances and the midpoint of main suspension cables on the Bridge D were associated with significant reductions in suicides (IRR 0.37, 95% Confidence Interval (CI) 0.26 - 0.54; 0.26, 95% CI 0.09 - 0.76). Installation of bird spike on the parapet on the Bridge B, and fences at the front of seating alcoves on the Bridge C were not associated with changes in suicides (1.21, 95% CI 0.88 - 1.68; 1.49, 95% CI 0.56 - 3.98). CONCLUSIONS: Partial means restriction (such as fences with sensor wires and spinning bars at the top, and partial fencing at selected points) on bridges appears to be helpful in preventing suicide. Although these interventions are unlikely to be as effective as interventions that fully secure the bridge and completely prevent jumping, they might best be thought of as temporary solutions before more complete or permanent structures are implemented.

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BACKGROUND: For the provision of optimal care in a suicide prevention helpline, it is important to know what contributes to positive or negative effects on help seekers. Helplines can often be contacted through text-based chat services, which produce large amounts of text data for use in large-scale analysis. OBJECTIVE: We trained a machine learning classification model to predict chat outcomes based on the content of the chat conversations in suicide helplines and identified the counsellor utterances that had the most impact on its outputs. METHODS: From August 2021 until January 2023, help seekers (N=6903) scored themselves on factors known to be associated with suicidality (eg, hopelessness, feeling entrapped, will to live) before and after a chat conversation with the suicide prevention helpline in the Netherlands (113 Suicide Prevention). Machine learning text analysis was used to predict help seeker scores on these factors. Using 2 approaches for interpreting machine learning models, we identified text messages from helpers in a chat that contributed the most to the prediction of the model. RESULTS: According to the machine learning model, helpers' positive affirmations and expressing involvement contributed to improved scores of the help seekers. Use of macros and ending the chat prematurely due to the help seeker being in an unsafe situation had negative effects on help seekers. CONCLUSIONS: This study reveals insights for improving helpline chats, emphasizing the value of an evocative style with questions, positive affirmations, and practical advice. It also underscores the potential of machine learning in helpline chat analysis.

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BACKGROUND: Emergency departments (EDs) are the front line in providing suicide care. Expert consensus recommends the delivery of several suicide prevention evidence-based interventions for individuals with acute suicidal ideation in the ED. ED personnel demands and staff shortages compromise delivery and contribute to long wait times and unnecessary hospitalization. Digital technologies can play an important role in helping EDs deliver suicide care without placing further demands on the care team if their use is safe to patients in a routine care context. OBJECTIVE: This study evaluates the safety and effectiveness of an evidence-based digital technology (Jaspr Health) designed for persons with acute suicidal ideation seeking psychiatric crisis ED services when used as part of routine ED-based suicide care. This study deployed Jaspr Health for real-world use in 2 large health care systems in the United States and aimed to evaluate (1) how and whether Jaspr Health could be safely and effectively used outside the context of a researcher-facilitated clinical trial, and (2) that Jaspr's use would be associated with improved patient agitation and distress. METHODS: Under the auspices of a nonsignificant risk device study, ED patients with acute suicidal ideation (N=962) from 2 health care systems representing 10 EDs received access to Jaspr Health as part of their routine suicide care. Primary outcome measures included how many eligible patients were assigned Jaspr Health, which modules were assigned and completed, and finally, the number of adverse events reported by patients or by medical staff. Secondary outcome measures were patient agitation, distress, and satisfaction. RESULTS: The most frequent modules assigned were Comfort and Skills (98% of users; n=942) and lethal means assessment (90% of patient users; n=870). Patient task completion rates for all modules ranged from 51% to 79%. No adverse events were reported, suggesting that digital technologies can be safely used for people seeking ED-based psychiatric services. Statistically significant (P<.001) reductions in agitation and distress were reported after using the app. Average patient satisfaction ratings by site were 7.81 (SD 2.22) and 7.10 (SD 2.65), with 88.8% (n=325) and 84% (n=90) of patients recommending the app to others. CONCLUSIONS: Digital technologies such as Jaspr Health may be safely and effectively integrated into existing workflows to help deliver evidence-based suicide care in EDs. These findings hold promise for the use of digital technologies in delivering evidence-based care to other vulnerable populations in complex environments.

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Background: National suicide prevention strategies are general population-based approaches to prevent suicide by promoting help-seeking behaviors and implementing interventions. Crisis helplines are one of the suicide prevention resources available for public use, where individuals experiencing a crisis can talk to a trained volunteer. Samaritans UK operates on a national scale, with a number of branches located within each of the United Kingdom's 4 countries or regions. objectives: The aim of this study was to identify any differences in call duration across the helpline service in order to determine whether service varied interregionally and intraregionally and to determine the impact of calls answered in the same region as the caller, compared with calls answered in a different region on the duration of calls made from landlines to Samaritans UK. Methods: Calls may be routed by Samaritans, wherein the telephony system sends the call to the next available volunteer, irrespective of location; therefore, individuals may be routed to a branch within the same region as the caller's current region (intraregional calls) or routed to a branch that is in a different region from that of the caller's current region (interregional calls). The origin of calls by region was identified using the landline prefix of the anonymized caller identifier, along with the region of the destination branch (as branch details are recorded in the call details record). First, a Levene's test of homogeneity of variance was carried out for each condition, that is, England calls and Scotland calls. Thereafter, for each condition, a one-way ANOVA or one-way analysis of means was carried out to evaluate any significant differences in call duration. Results: ANOVA results showed that there are significant differences in call durations between intraregional calls and interregional calls (P<.001). Across all conditions within this study, callers stayed on the phone for a shorter period of time when routed to a branch that is within the same region as the call origin than if they were put through to a branch within a different region than the call origin. Conclusions: Statistical analyses showed that there were significant differences between interregional and intraregional calls. On average, callers to crisis helplines stayed on the phone for a shorter period of time if they were routed to a branch within the same region in which the call originated than if they were routed to a branch in a different region of origin. The findings from this study have practical applications, which may allow crisis helplines to manage their resources more effectively and improve caller satisfaction with the service.

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