Resource Tag: SUICIDAL DEATH PREDICTION SCALE

Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric populations, a formal psychiatric diagnosis emerged as a strong predictor of suicidal risk, overshadowing more subtle risk factors specific to distinct populations. To overcome this limitation, we conducted a systematic review of ML […]

Introduction Suicide remains a leading cause of death in the U.S., and firearms are one of the most lethal methods of suicide. This study examines personal and contextual factors that predict suicide with a firearm compared to other methods across stages of adulthood. Methods Data on adult suicide decedents from 2009 to 2019 were obtained […]

Background: Major depressive disorder (MDD) is often associated with suicidal attempt (SA). Therefore, predicting the risk factors of SA would improve clinical interventions, research, and treatment for MDD patients. This  study aimed to create a nomogram model which predicted correlates of SA in patients with MDD within the Chinese population. Method: A cross-sectional survey among […]

Effective approaches to raising community awareness regarding suicide cases are critical to lowering the suicide rate over time. Many people do not commonly recognize suicide facts and rates since the method of dissemination is unappealing. Non- interactive and difficult methods of disseminating suicide information may lower suicide awareness, thus increasing the suicide rate. Therefore, an […]

Background: Suicide has become a major threat to achieving Sustainable Development Goals three and four, especially for school-going adolescents worldwide. As part of efforts to prevent suicide, population-based studies regarding the prevalence and variables that predict suicidal behaviours are required to inform decisions. Despite this realisation, Samoa lacks empirical data on suicidal behaviours among adolescents. […]

Suicide attempts constitute a serious clinical problem. People who have attempted suicide are at an elevated risk for additional suicide attempts, but there is limited evidence regarding the predictors of suicidality of suicide attempters following case management services. In the present study the indicators of suicidality after case management were examined. A total of 1,056 […]

The low base rate of suicide makes it particularly difficult to accurately predict suicide risk, and thus to identify suicidal individuals. Improvement in the sensitivity of suicide risk tools has only led to increased rates of false positives, while increased specificity of suicide risk tools has led to increased rates of false negatives, whereby individuals […]

In the past decade, two themes have emerged across suicide research. First, according to meta-analyses, the ability to predict and prevent suicidal thoughts and behaviours is weaker than would be expected for the size of the field. Second, review and commentary papers propose that technological and statistical methods (such as smartphones, wearables, digital phenotyping and […]

Growing evidence has shown that applying machine learning models to large clinical data sources may exceed clinician performance in suicide risk stratification. However, many existing prediction models either suffer from “temporal bias” (a bias that stems from using case-control sampling) or require training on all available patient visit data. Here, we adopt a “landmark model” […]

As suicide rates increase worldwide, the mental health industry has reached an impasse in attempts to assess patients, predict risk, and prevent suicide. Traditional assessment tools are no more accurate than chance, prompting the need to explore new avenues in artificial intelligence (AI). Early studies into these tools show potential with higher accuracy rates than […]

Objective The Interpersonal Theory of Suicide has been foundational in guiding current suicide literature. Despite recent research underscoring fluctuations of suicidal ideation within hours, there have been few studies examining the key constructs of perceived burdensomeness and thwarted belongingness within an intensive framework. Thus, the current study aimed to add cumulative knowledge regarding the within-person […]

Background: Cost-effectiveness analysis needs to be considered when introducing new tools and treatments to clinical services. The number of new assessment tools in mental health has rapidly expanded, including suicide risk assessment. Such suicide-based assessments, when linked to preventative interventions, are integral to high-quality mental health care for people with severe mental illness (SMI). We […]

Objective Nonsuicidal self-injury (NSSI) is a severe problem, and its prevalence is increasing. To aid prevention and treatment, there is an urgent need for evidence-based measures to identify individuals at risk for NSSI. Measures that probe past NSSI are most promising, but people are often motivated to conceal NSSI behavior. This problem can be overcome […]

Quantifying suicide risk with risk scales is common in clinical practice, but the performance of risk scales has been shown to be limited. Prediction models have been developed to quantify suicide risk and have been  shown to outperform risk scales, but these models have not been commonly adopted in clinical practice. The original research presented […]

Background Suicide is a leading cause of death, particularly in younger persons, and this results in tremendous years of life lost. Objective To compare the performance of recurrent neural networks, one-dimensional convolutional neural networks, and gradient boosted trees, with logistic regression and feedforward neural networks. Methods The modeling dataset contained 3548 persons that died by […]

Background Although there is a large literature that prospectively examines predictors of suicide, low base rates of suicide and imprecision of measurement hinder definitive conclusions from being drawn. Method This study examined predictors of suicide relative to other types of death in a sample of 297 patients who had been hospitalized for suicide ideation or […]

Objective Adolescent nonsuicidal self-injury (NSSI) is a significant risk factor for suicidal behavior and an important clinical marker of psychopathology. NSSI is especially common in adolescent girls. A number of psychosocial correlates of adolescent NSSI have been identified, including problems characterized by disinhibition and negative affectivity. However, it is unknown whether these characteristics prospectively predict […]