scholarly journals Limitations of a single-item assessment of suicide attempt history: Implications for standardized suicide risk assessment.

2016 ◽  
Vol 28 (8) ◽  
pp. 1026-1030 ◽  
Author(s):  
Melanie A. Hom ◽  
Thomas E. Joiner ◽  
Rebecca A. Bernert
Keyword(s):  
Risk Assessment ◽  
Suicide Attempt ◽  
Suicide Risk ◽  
Suicide Risk Assessment ◽  
Single Item

The death-implicit association test and suicide attempts: a systematic review and meta-analysis of discriminative and prospective utility

2021 ◽  
pp. 1-10
Author(s):  
Maya N. Sohn ◽  
Carly A. McMorris ◽  
Signe Bray ◽  
Alexander McGirr
Keyword(s):  
Risk Assessment ◽  
Suicide Attempt ◽  
Suicidal Behaviour ◽  
Implicit Association Test ◽  
Suicide Risk ◽  
Suicide Attempts ◽  
Association Test ◽  
Implicit Association ◽  
Suicide Risk Assessment ◽  
History Of

Abstract Suicide risk assessment involves integrating patient disclosure of suicidal ideation and non-specific risk factors such as family history, past suicidal behaviour, and psychiatric symptoms. A death version of the implicit association test (D-IAT) has been developed to provide an objective measure of the degree to which the self is affiliated with life or death. However, this has inconsistently been associated with past and future suicidal behaviour. Here, we systematically review and quantitatively synthesize the literature examining the D-IAT and suicide attempts. We searched psychINFO, Medline, EMBASE, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception until 9 February 2021 to identify publications reporting D-IAT scores and suicide attempts (PROSPERO; CRD42020194394). Using random-effects models, we calculated standardized mean differences (SMD) and odds ratios (ORs) for retrospective suicide attempts. We then calculated ORs for future suicide attempts. ORs were dichotomized using a cutoff of zero representing equipoise between self-association with life and death. Eighteen studies met our inclusion criteria (n = 9551). The pooled SMD revealed higher D-IAT scores in individuals with a history of suicide attempt (SMD = 0.25, 95% CI 0.15 to 0.35); however, subgroup analyses demonstrated heterogeneity with acute care settings having lower effect sizes than community settings. Dichotomized D-IAT scores discriminated those with a history of suicide attempt from those without (OR 1.38 95% CI 1.01 to 1.89) and predicted suicide attempt over a six-month follow-up period (OR 2.99 95% CI 1.45 to 6.18; six studies, n = 781). The D-IAT may have a supplementary role in suicide risk assessment; however, determination of acute suicide risk and related clinical decisions should not be based solely on D-IAT performance.

scholarly journals Risk Assessment on Suicide Death and Attempt among Chinese Rural Youths Aged 15–34 Years

2021 ◽  
Vol 18 (24) ◽  
pp. 13362
Author(s):  
Long Sun ◽  
Jie Zhang ◽  
Dorian A. Lamis ◽  
Yifan Wang
Keyword(s):  
Risk Assessment ◽  
Suicide Attempt ◽  
Suicide Risk ◽  
Roc Curves ◽  
Assessment Tools ◽  
Assessment Model ◽  
Suicide Risk Assessment ◽  
Suicide Attempters ◽  
Suicide Death ◽  
Community Residents

Background: Although many suicide risk assessment tools are available in the world, their validity is not adequately assessed. In this study, we aimed to develop and evaluate a suicide risk assessment model among Chinese rural youths aged 15–34 years. Method: Subjects were 373 suicide deaths and 507 suicide attempters aged 15–34 years in three Chinese provinces (Shandong, Liaoning, and Hunan). Information about the community residents was also collected as the control groups. Social-demographic, social and psychological variables were examined for the suicides, suicide attempters, and community residents. Logistic regressions based on subjects from Shandong and Liaoning provinces were conducted to establish the suicide risk assessment models. Receiver operating characteristic (ROC) curves were drawn, and area under the ROC curves (AUC) were calculated to show how well the models separated the group being tested into those with and without suicide attempt or suicide. Results: The assessment model for suicide death included education years (OR = 0.773, p < 0.001), agricultural worker (OR = 2.091, p < 0.05), physical health (OR = 0.445, p < 0.05), family suicide history (OR = 6.858, p < 0.001), negative life events (OR = 1.340, p < 0.001), hopelessness (OR = 1.171, p < 0.001), impulsivity (OR = 1.151, p < 0.001), and mental disorder (OR = 8.384, p < 0.001). All these factors were also supported in the assessment model for suicide attempt, with an extension of very poor economic status (OR = 1.941, p < 0.01) and social interaction (OR = 0.855, p < 0.001). The AUC was 0.950 and 0.857 for the sample used to establish the assessment models of suicide death and attempt, respectively. The AUC was 0.967 and 0.942 for the sample used to verify the established assessment models of suicide death and attempt, respectively. Conclusions: Compared with some other assessment tools, the models for suicide death and attempt in the current study performed well among Chinese rural youths aged 15–34 years. A reliable suicide risk assessment approach, which includes multiple risk factors, should be evaluated in various cultures and populations.

Evaluation of the R-SIS for Military Suicide-Risk Assessment

2009 ◽  
Author(s):  
David D. Luxton ◽  
M. David Rudd ◽  
Mark A. Reger ◽  
Gregory A. Gahm
Keyword(s):  
Risk Assessment ◽  
Suicide Risk ◽  
Suicide Risk Assessment ◽  
Military Suicide

Theory-Based Suicide Risk Assessment

2006 ◽  
Author(s):  
Tracy K. Witte ◽  
Kimberly A. Van Orden ◽  
Thomas E Joiner
Keyword(s):  
Risk Assessment ◽  
Suicide Risk ◽  
Suicide Risk Assessment

Suicide risk assessment: Trust an implicit probe or listen to the patient?

2018 ◽  
Vol 30 (10) ◽  
pp. 1317-1329 ◽  
Author(s):  
Dominique P. Harrison ◽  
Werner G. K. Stritzke ◽  
Nicolas Fay ◽  
Abdul-Rahman Hudaib
Keyword(s):  
Risk Assessment ◽  
Suicide Risk ◽  
Suicide Risk Assessment

Diagnostic scales for suicide risk assessment

2020 ◽  
pp. 67-79
Author(s):  
L. Gelda ◽  
L. Nesterovich
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Medical Research ◽  
Suicide Risk ◽  
General Medicine ◽  
Diagnostic Tools ◽  
Suicide Risk Assessment ◽  
Research And Practice ◽  
Psychometric Instruments ◽  
High Incidence

The problem of adequate diagnostic tools use for suicide risk assessment т medical research and practice is of extreme importance because of the high incidence of suicide in the population of psychotic patients and the high vulnerability of the latter to the known risk factors. The article provides ап overview of the existing psychometric instruments (scales) used to assess the risk of suicide in psychiatry as well as in general medicine.

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