View clinical trials related to Suicide.
Filter by:Suicide is the leading cause of death among young people (YP) aged 10 to 25 years in the Netherlands. In addition, YP report high rates of suicidal ideation (16%). While suicidal behavior is a complex phenomenon with many factors and causes, the role of social media is becoming more prominent, especially for YP. Social media has been shown to be a source where YP can find support, but it's also a place where suicidal behavior is glorified or normalized, which can be triggering or harmful to other social media consumers. The #Chatsafe guidelines were developed by Orygen Australia to better equip young people to communicate safely about suicide on social media. These guidelines are supported by a social media campaign to make the content of the guidelines more accessible to them. The #Chatsafe intervention consists of both the guidelines and the social media campaign. A small-scale Australian feasibility study showed promising results in terms of the acceptance and safety of the campaign, and safety regarding communicating about suicide on social media platforms. Currently, in Australia it is tested to what extent these results hold up in a Randomized Controlled Trial (RCT) (Robinson et al., 2023). With funding from the Dutch National Agenda for Suicide Prevention, a contextualized replication study is conducted. The aim of this study is to determine whether the #Chatsafe intervention has an effect on the way in which Dutch YP communicate online about suicide.
Patients with mental disorders are at significantly higher risk of suicide after discharge compared to the general population and patients with other diseases. Currently, there is a lack of post-discharge community suicide risk management services in China. The research team's preliminary research suggests that mHealth interventions are well-accepted and feasible for reducing the suicide risk in patients with mental disorders. Furthermore, the inclusion of gamification elements can enhance treatment adherence and user engagement. However, determining the appropriate combination of gamification elements and evaluating the implementation effectiveness of gamified mHealth interventions for suicide risk are challenges in transforming these into regular community mental health services. This study will leverage gamification theory and community-based participatory research to design a gamified mHealth intervention model aimed at reducing suicide risk among discharged patients with mental disorders, and to develop a corresponding management strategy. Using the multi-phase optimization strategy (MOST), the study will identify the optimal combination of gamification elements to reduce suicide risk and increase the outpatient follow-up rate. Through an implementation science framework, the investigators will evaluate the process, outcomes, feasibility, and sustainability of this management strategy with the goal of reducing suicide risk among these patients. The findings from this study will provide a scientific basis for innovative suicide risk management models for discharged patients with mental disorders in China, thereby paving the way for the application of implementation science in mental health.
High standards and self-discipline are prized in military culture, but drawbacks of overcontrol are often ignored. Overcontrol is characterized by over-regulated behavior and cognitive rigidity, driven by an intense need for perfection and control. It is frequently observed in people with obsessive-compulsive (OC) spectrum disorders, especially OC Personality Disorder (OCPD). Their inclination to set high expectations for others can strain social bonds. When grappling with mental health challenges, overcontrolled individuals often do so with limited social support, and as a result, tend to be at greater risk of developing more severe mental health symptoms, or suicidal thoughts and behaviors, over time. New treatments are needed to improve social functioning in these vulnerable Veterans. Adding brain stimulation to psychotherapy is one method that might speed learning of social skills discussed in therapy. However, before this technology can be developed and tested more broadly, the investigators must make sure that the methods used to measure social functioning and related brain circuits are acceptable to most potential patients and can be used consistently. In this pilot project, the investigators aim to recruit trauma-exposed Veterans with overcontrolled traits and study the feasibility and acceptability of: 1. Our recruitment strategy and social functioning and mental health symptom assessments 2. A three-session, weekly fMRI protocol. 3. A three-week online protocol for remote monitoring of social and emotional functioning.
The Culturally Adapted Linking Individuals Needing Care (CA-LINC) study will recruit a sample of Black youth to participate in a two-arm parallel-comparison single-blinded pilot randomized control trial (RCT). For the pilot RCT, 68 Black youth participants ages 14-19 who meet the inclusion criteria will be randomly assigned to one of two conditions: CA-LINC (n=34) or TAU (n=34). CA-LINC is a 90-day culturally adapted LINC intervention developed with and for Black youth. The CA-LINC intervention integrates engagement and follow-up strategies to assess/monitor suicide risk, facilitate service use referrals/linkages, develop/refine safety plans, and create villages of care. The CA-LINC intervention incorporates African-centered principles and empowerment and motivational strategies aimed to support, enhance strengths, promote hope, improve family relationships, and reinforce caring messages. This consumer-, community-, and theory-driven care coordination intervention is designed to reduce suicide ideation and behavior (SIB) by improving service engagement and delivery standards. CA-LINC is implemented by Peer Support Specialists and Community Health Workers assigned to mental health "hubs" in Black Faith-Based Organizations (FBOs) that facilitate standardization and access to care for Black youth/families regardless of religious affiliation. Black FBOs effectively mobilize Black communities to promote positive health behaviors. The RCT will explore the "fit" of the culturally adapted intervention (CA-LINC) in Black communities in Charlotte, North Carolina, and inform a scalable RCT for a future study.
Suicide risk has increased among youth in underserved communities, where access to mental healthcare is limited. To address this need, the investigator team plans to evaluate the preliminary efficacy of a brief, low-cost, culturally responsive digital intervention for ethnically diverse youth at risk for suicide in The Bronx, NY. In collaboration with community stakeholders, suicide recovery narratives, featuring adolescents' experiences related to recovery from suicidal thoughts will be developed. A smartphone ecological momentary assessment app will be used to evaluate whether a curriculum of these narratives provides anti-suicidal benefits to at-risk adolescents.
There are high rates of co-occurring posttraumatic stress disorder (PTSD) among patients receiving treatment for substance use disorder (SUD). PTSD and SUD should be treated simultaneously, but adults in SUD treatment are often not assessed for PTSD nor offered PTSD-based interventions. One of the reasons for reluctance in offering trauma focused treatment is increased risk of drop out. PTSD and related emotion dysregulation are related to elevated psychological burden, higher dropout rates and increased risk of relapse. this is a feasibility study, where the plan is to integrate a combination of Dialectical Behaviour Therapy for Substance Use Disorder (DBT-SUD skills) a therapy targeting difficulties in emotion regulation and Narrative Exposure Therapy (NET) a trauma focused therapy, for patients with co-occurring PTSD symptoms into standard SUD treatment . The plan is to assess its potential benefits by assessing whether adding this combination to standard SUD treatment is relevant, feasible, acceptable, and safe. Treatment outcomes are 1) Prevalence of PTSD, suicidal behaviour, and self-harm, as well as the severity of difficulties in emotion regulation and emotional avoidance among patients (N approx. = 100) in inpatient treatment for SUD. 2) Change post-treatment and at 3 and 12 months follow up, from baseline in PTSD symptom severity, depressive symptoms, emotion regulation, emotion avoidance, and experience of shame. 3) Rates of dropout and relapse compared to previous rates. This project can increase knowledge about psychological mechanisms in co-occurring PTSD and SUD and improve the quality of treatment for this vulnerable patient population.
The goal of this observational study is to validate an AI algorithm's capability to differentiate the population with suicidal ideation from a control population using various multimodal variables, including voice analysis, facial emotions, natural language, and proteomics data. The primary research question it aims to answer is: Is it possible to identify suicidal ideation and suicide risk in adolescents early and non-intrusively using multimodal data analysis through digital instruments equipped with artificial intelligence? Participants in this study will be asked to: Complete psychometric instruments to establish a gold standard for detecting suicide risk and suicidal ideation. Provide voice recordings, facial emotion data, and linguistic content in natural and specific contexts. Participate in salivary proteomics data collection. This study compares three distinct groups: Ideation: Adolescent patients with current suicidal ideation. Clinical Population: Psychological or psychiatric patients of the same age and gender without suicidal ideation. General Population: Adolescents without known psychological or psychiatric pathology of the same age and gender, without suicidal ideation. Researchers will compare these groups to determine if the AI algorithm is effective in differentiating individuals with suicidal ideation (Group 1) from both a clinical control group (Group 2) and a general population control group (Group 3) using the collected multimodal data. The study aims to assess the algorithm's ability to identify early signs of suicide risk in these distinct participant populations.
Suicide represents a personal tragedy and an enormous global public health problem. One of the most vulnerable groups is adults 50 years and older. Despite this stage of life is particularly amenable to the implementation of targeted suicide prevention strategies, we have few studies of the efficacy of psychological interventions, those that do exist have methodological limitations, and none were implemented in formats other than face-to-face, which limits their accessibility. There is a need for brief psychological interventions that can be administered in both face-to-face and remote formats, do not require long training periods, and are effective in different contexts: for example, problem-solving therapy. The main objective of this project is to evaluate the efficacy of a brief problem-solving psychological intervention for targeted suicide prevention in people aged 50 years and older, administered in face-to-face, conference call, and smartphone app formats. A randomized controlled trial will be performed. Participants will be recruited through healthcare centers in the Autonomous Community of Galicia (Spain). To be included, participants must: (a) be at least 50 years old, (b) reside in Galicia, and (c) present suicidal ideation. Subjects will be excluded if they: (a) present serious mental health or medical disorders; (b) have begun receiving psychological or psychopharmacological treatment in the previous two months or are participating in other suicide prevention research; (c) do not have an appropriate mobile device or sufficient fluency to communicate in Spanish, or have problems that make it impossible to participate; or (d) plan to move in the next 18 months. At pre-intervention information will be collected on sociodemographic, family, personal history, current suicide risk and other clinical variables. 212 participants will be randomly assigned to (1) a problem-solving-based psychological intervention delivered face-to-face (PSPI-FF; experimental group 1); (2) a problem-solving-based psychological intervention delivered via telephone conference call (PSPI-CC; experimental group 2); (3) a problem-solving-based psychological intervention delivered via a smartphone app (PSPI-A; experimental group 3); or (4) a usual care control group (UCCG). Participants in the experimental groups will complete the six sessions/modules of the interventions. Finally, subjects in all groups will be evaluated at post-intervention and 3, 6 and 12-month follow-ups.
The present study consists of 3 projects in total. It aims to investigate the (neuro-) psychological patterns from suicidal ideation to suicidal behavior as well as the feasibility and cost-effectiveness of ASSIP flex. The overall aim of Project 3 is to evaluate the feasibility and cost-effectiveness of ASSIP flex over a 12-month follow-up period in terms of suicide reattempts and suicide correlates in a cohort who is attending ASSIP flex after a suicide attempt.
The primary aim of the project is to test the efficacy of BCBT delivered via a digital platform (i.e., smartphone) to Servicemembers with recent suicidal ideation and/or suicide attempts presenting to primary care clinics. Given existing challenges of scaling empirically-supported treatments/interventions for suicidality with fidelity, this project could lead to markedly expanded access to BCBT, along with improving our understanding about what intervention strategies are most effective and how they can be delivered with meaningful fidelity. Aviva, the digital version of BCBT, was developed for use with patients across the full spectrum of healthcare settings, including primary care. Aviva is not an emergency alert system, rather a digital platform for delivery of the full scope of BCBT treatment components. An open-label single group Phase I clinical trial has demonstrated the safety, tolerability, feasibility, fidelity, and potential efficacy of Aviva, with participants completing modules over 8 weeks, and follow-up assessments at weeks 1, 4, and 8. Subsequent refinements included the addition of technical features that would allow patients to revisit and/or repeat previously completed modules, along with integration of more characters for delivering video vignettes and greater opportunities for skills practice and treatment engagement. These modifications have further enhanced Aviva safety, tolerability, and fidelity, consistent with the original BCBT protocol. Not only is it hypothesized that Aviva will result in significantly larger reductions in severity of suicidal ideation than participants randomized to the control condition, but also that greater app engagement will be negatively correlated with severity of suicidal thinking. Moderators and mediators (i.e. suicidal beliefs, wish to live, impulsive decision-making) of intervention effects will also be examined. The study will be conducted at the primary care clinics at Fort Carson, with a goal of enrolling 720 patients across a two-year timeframe. Participants will be identified using each clinic's existing suicide risk assessment methods, including the PHQ-9 suicide risk item and a score of 1 or higher on the CSSRS Screener (Recent). Participants will be randomly assigned to one of two treatment conditions, Aviva or control (i.e., development of a safety plan consistent with local procedures and policies, along with referral for standard mental health care and suicide risk management in accordance with local policies and procedures). In an effort to address potential performance bias specific to smartphone use, participants in the control condition will download the Suicide Safety Plan app to their smartphones. Those in the Aviva condition will also complete weekly check-ins with Project 2 research clinicians to review treatment adherence, identify and respond to any logistical/operational problems, and respond to any unexpected emergencies and/or participant safety concerns. Participants will have up to five data points: baseline, 3, 6, 9, and 12 months. All data available from all participants and all time points will be included in the analyses, consistent with the intent-to-treat principle. Across our two previous clinical trials and our in-progress RCT, attrition during the first 12 months postbaseline was <30% and we anticipate similar rates in this trial.