Reliability of Suicide Risk Estimates: A Vignette Study.

OBJECTIVE: Suicide risk assessments are obligatory when patients express a death wish in clinical practice. Yet, suicide risk estimates based on unguided risk assessments have been shown to be of low reliability. Since generalizability of previous studies is limited, the current study aimed to assess inter-rater and intra-rater reliability of risk estimates conducted by psychotherapists and psychology students using written case vignettes. METHOD: In total, N = 256 participants (psychology students, psychotherapists) were presented with 24 case vignettes describing patients at either low, moderate, severe or extreme risk of suicide. Participants were asked to assign a level of risk to each single vignette at a baseline assessment and again at a follow-up assessment two weeks later. RESULTS: Risk estimates showed a low inter-rater reliability, both for students (AC1 = .35) and for psychotherapists (AC1 = .44). Intra-rater reliability was moderate for psychotherapists (AC1 = .59) and rather low for psychology students (AC1 = .47). In general, intra- and intra-rater reliability were highest for vignettes displaying "low" and "extreme" risk. CONCLUSIONS: The results highlight that the reliability of unguided suicide risk assessments is questionable. Standardized risk assessment protocols are therefore recommended. Nonetheless, even reliable risk estimation does not imply predictive validity of risk estimates for future suicidal behavior.

Suicide risk estimates have been shown to be of low reliabilitySuicide risk estimates by psychotherapists and students also showed low inter-rater and intra-rater reliability in the current studyReliable risk estimation does not imply predictive validity of risk estimates for future suicidal behavior.

The impact of history of depression and access to weapons on suicide risk assessment: a comparison of ChatGPT-3.5 and ChatGPT-4.

The aim of this study was to evaluate the effectiveness of ChatGPT-3.5 and ChatGPT-4 in incorporating critical risk factors, namely history of depression and access to weapons, into suicide risk assessments. Both models assessed suicide risk using scenarios that featured individuals with and without a history of depression and access to weapons. The models estimated the likelihood of suicidal thoughts, suicide attempts, serious suicide attempts, and suicide-related mortality on a Likert scale. A multivariate three-way ANOVA analysis with Bonferroni post hoc tests was conducted to examine the impact of the forementioned independent factors (history of depression and access to weapons) on these outcome variables. Both models identified history of depression as a significant suicide risk factor. ChatGPT-4 demonstrated a more nuanced understanding of the relationship between depression, access to weapons, and suicide risk. In contrast, ChatGPT-3.5 displayed limited insight into this complex relationship. ChatGPT-4 consistently assigned higher severity ratings to suicide-related variables than did ChatGPT-3.5. The study highlights the potential of these two models, particularly ChatGPT-4, to enhance suicide risk assessment by considering complex risk factors.

Suicide Screening, Risk Assessment, and Lethal Means Counseling During Zero Suicide Implementation.

OBJECTIVE: The authors measured implementation of Zero Suicide (ZS) clinical practices that support identification of suicide risk and risk mitigation, including screening, risk assessment, and lethal means counseling, across mental health specialty and primary care settings. METHODS: Six health care systems in California, Colorado, Michigan, Oregon, and Washington participated. The sample included members ages ≥13 years from 2010 to 2019 (N=7,820,524 patients). The proportions of patients with suicidal ideation screening, suicide risk assessment, and lethal means counseling were estimated. RESULTS: In 2019, patients were screened for suicidal ideation in 27.1% (range 5.0%-85.0%) of mental health visits and 2.5% (range 0.1%-35.0%) of primary care visits among a racially and ethnically diverse sample (44.9% White, 27.2% Hispanic, 13.4% Asian, and 7.7% Black). More patients screened positive for suicidal ideation in the mental health setting (10.2%) than in the primary care setting (3.8%). Of the patients screening positive for suicidal ideation in the mental health setting, 76.8% received a risk assessment, and 82.4% of those identified as being at high risk received lethal means counseling, compared with 43.2% and 82.4%, respectively, in primary care. CONCLUSIONS: Six health systems that implemented ZS showed a high level of variation in the proportions of patients receiving suicide screening and risk assessment and lethal means counseling. Two opportunities emerged for further study to increase frequency of these practices: expanding screening beyond patients with regular health care visits and implementing risk assessment with lethal means counseling in the primary care setting directly after a positive suicidal ideation screening.

Alterations in performance and discriminating power of the death/suicide implicit association test across the lifespan.

The Death/Suicide Implicit Association Test (d/s-IAT) has differentiated individuals with prior and prospective suicide attempts in previous studies, however, age effects on test results remains to be explored. A three-site study compared performance on the d/s-IAT among participants aged 16-80 years with depression and prior suicide attempt (n = 82), with depression and no attempts (n = 80), and healthy controls (n = 86). Outcome measures included the standard difference (D) score, median reaction times, and error rates. Higher D scores represent a stronger association between death/suicide and self, while lower scores represent a stronger association between life and self. The D scores differed significantly among groups overall. Participants with depression exhibited higher scores compared to healthy controls, but there was no difference between participants with and without prior suicide attempts(F[2,242]=8.76, p<.001). Response times for participants with prior attempts differed significantly from other groups, with no significant differences in error rates. The D score was significantly affected by age (ß =-0.007, t = 3.65, p<.001), with slowing of response times in older ages. Results suggest reaction time d/s-IAT D scores may not distinguish implicit thinking about suicide as response times slow with age, but slowed response times may be sensitive to suicide risk potentially indicating basic information processing deficits.

Virtual Reality Simulation for Suicide Risk Assessment Training: Prevalence of Adverse Effects.

OBJECTIVE: Virtual reality (VR) simulation is changing the landscape of simulation-based medical education. Immersive VR allows users to interact with a computer-generated environment and digital avatars using a VR headset and controllers. However, current literature regarding the use of immersive VR simulation in psychiatric medical education is sparse. This study describes its use and considerations regarding tolerability. METHODS: At a mental health hospital in Canada, two immersive VR suicide risk assessment (SRA) case simulations were developed. These simulations have participants interview VR patients to characterize their suicide risk, offering a novel and safe way to engage healthcare providers in SRA training. Regarding user tolerability of these VR simulations, the Simulator Sickness Questionnaire (SSQ) was administered to participants after the simulation to characterize any motion sickness symptoms experienced. RESULTS: Of the 22 participants in this study, the overall SSQ scores demonstrated good tolerability of the VR SRA, with the majority of participants reporting no or minimal simulator sickness symptoms. Moreover, the majority of participants reported being satisfied with this training and that the VR SRA simulation enhanced their learning experience. CONCLUSION: These study findings are novel, given the current dearth of data regarding the use of immersive VR in simulation-based psychiatric medical education. Further studies exploring the educational effectiveness of VR SRA in simulation-based psychiatric medical education are indicated.

Educational Approaches Using Simulation for Psychiatric Risk Assessment: a Scoping Review.

OBJECTIVE: The ability to assess a patient's risk of harm to self or others is a core competency for mental health clinicians which can have significant patient outcomes. With the growth of simulation in medical education, there is an opportunity to enhance education outcomes for psychiatric risk assessment. The purpose of this study was to determine how simulation is used to build competency in risk assessment and map its educational outcomes. METHODS: The authors conducted a systematic scoping review using the Arksey and O'Malley framework. Electronic database searches were conducted by an academic librarian. Studies published before August 2022 which described simulation activities aimed at training clinicians in suicide, self-harm, and/or violence risk assessment were screened for eligibility. RESULTS: Of the 21,814 articles identified, 58 studies were selected for inclusion. The majority described simulations teaching suicide risk assessment, and there was a notable gap for building competency in violence risk assessment. Simulation utility was demonstrated across emergency, inpatient, and outpatient settings involving adult and pediatric care. The most common simulation modality was patient actors. A smaller subset implemented technological approaches, such as automated virtual patient avatars. Outcomes included high learner satisfaction, and increases in psychiatric risk assessment knowledge, competency, and performance. CONCLUSION: Simulation as an adjuvant to existing medical curricula can be used to teach risk assessment in mental health. Based on the results of our review, the authors provide recommendations for medical educators looking to design and implement simulation in mental health education.

Measurement Choices for Youth Suicidality.

Suicide is among the leading causes of death among individuals ages 10-24, making suicidal thoughts and behaviors (STBs) a serious public health crisis among youth. Suicide risk screening and assessment are vital to addressing this public health crisis. In fact, many youths that screen positive for suicidal ideation do not have known mental health concerns and would have been missed if not asked directly. Medical settings are an optimal setting to detect suicidality early and provide appropriate follow-up monitoring and care as needed. To support effective and efficient screening and assessment of suicidal thoughts and behaviors, providers must choose measures with both strong psychometric properties and clinical utility. While measurement of STBs can vary across health settings, suicide risk screening and assessment typically involves gathering information about current suicidal ideation, suicidal behaviors, and suicidal plans via self-report questionnaires, clinical interviews, and/or computerized adaptive screens. In alignment with measurement-based care efforts, the current manuscript will provide a scoping review of measures of youth suicidal ideation, behavior, plans, and their risk factors. Specifically, the psychometric properties, clinical utility, and other key considerations for screening and assessment of adolescent suicide risk are discussed.

Practice-based insights from specialized clinicians into youth suicide risk assessment and psychotherapy: A qualitative study.

Objective: The experience of frontline clinicians is an underutilized source of knowledge about improving youth suicide intervention. This qualitative study explored the perspectives of highly experienced, specialized mental health clinicians on the practical application of risk assessment, stabilization, and treatment and their experience of working in this practice area.Method: Data were collected from seven focus groups with 28 clinicians and analyzed using consensual qualitative research methods.Results: Four domains emerged, describing 1) youth suicide intervention as relationally focused and attachment-informed, 2) the need for flexible and tailored care balancing individual and family intervention in the context of family complexity and fractured relationships, 3) a nuanced, therapeutic approach to managing the complexity and uncertainty of adolescent suicide risk, and 4) working in youth suicide intervention as emotionally demanding and facilitated or hampered by the organizational and systems context.Conclusion: The importance of harnessing family systems and attachment-informed approaches to alliance, risk assessment, and treatment was emphasized, along with the parallel need for systemic clinician support and consideration of the potential negative consequences of administrative and risk management protocols.

Artificial intelligence-based approaches for suicide prediction: Hope or hype?

Accurate prediction of suicide risk is important because it allows evidence-based interventions to be targeted to at-risk populations. Conventional approaches to prediction of suicide risk have shown suboptimal accuracy. In this context, artificial intelligence (AI)-based models for suicide prediction, with their ability to handle big data collected through low-burden methods, have gained research traction in the recent past. Preliminary evidence suggests the promise of AI-driven methods for suicide prediction and prevention. These methods may hold particular relevance for India and other low-and-middle-income countries because they may be more feasible, scalable, less stigmatizing, and potentially more resource-effective.

Resting State EEG Correlates of Suicide Ideation and Suicide Attempt.

Suicide is a global phenomenon that impacts individuals, families, and communities from all income groups and all regions worldwide. While it can be prevented if personalized interventions are implemented, more objective and reliable diagnostic methods are needed to complement interview-based risk assessments. In this context, electroencephalography (EEG) might play a key role. We systematically reviewed EEG resting state studies of adults with suicide ideation (SI) or with a history of suicide attempts (SAs). After searching for relevant studies using the PubMed and Web of Science databases, we applied the PRISMA method to exclude duplicates and studies that did not match our inclusion criteria. The selection process yielded seven studies, which suggest that imbalances in frontal and left temporal brain regions might reflect abnormal activation and correlate with psychological distress. Furthermore, asymmetrical activation in frontal and posterior cortical regions was detected in high-risk depressed persons, although the pattern in the frontal region was inverted in non-depressed persons. The literature reviewed suggests that SI and SA may be driven by separate neural circuits and that high-risk persons can be found within non-depressed populations. More research is needed to develop intelligent algorithms for the automated detection of high-risk EEG anomalies in the general population.

DSM-5-TR diagnosis as a guide to suicide risk assessment.

A specific mental disorder can itself constitute a risk factor for a completed suicide. Even more important, the disorder is typically a modifiable risk factor which informs its own treatment. Recent editions of the DSM have included "suicide subsections" for specific mental disorders and conditions in which the risks of suicidal thoughts and behaviors for the disorder are noted in the literature. The DSM-5-TR can therefore serve as a compendium to be referred to for initial guidance as to whether a specific disorder could contribute to the risk. Adding completed suicides and suicide attempts, also addressed in these subsections, the sections were examined individually for the four parameters of suicidality. Accordingly, the four parameters of suicidality examined here are: suicide, suicidal thoughts, suicidal behavior, and suicide attempts. After providing interpretive comments for each, the parameters for all disorders with a suicide subsection were tabulated for ease of reference. Because specific medical disorders are also associated with elevated rates of suicide, these disorders and the supporting research are tabulated and briefly acknowledged. Allowing for the limitations of the suicide subsections and their analysis, this exegesis is proposed to contribute to training in risk assessment for forensic psychiatry and psychology fellows and to highlight the potential referential value of the DSM-5-TR's suicide subsections for clinical practitioners and those who pursue research on suicide.

Mind the past: A systematic review on psychological autopsy.

Psychological Autopsy (PA) has become widespread to the point of being applied in many diverse fields. However, it is difficult to identify a standard model. In this systematic review, we focused on PA studies assessing mental illness as a major risk factor for suicide. The research, performed on Scopus, Embase, and Pubmed to cover the last 20 years led to 321 reports of which 15 met the inclusion criteria. Results confirmed mental illness as the main risk factor for suicide, followed by specific socio-demographic factors and life events. The analysis of methodologies depicted a still highly heterogeneous scenario, especially regarding data collection and variables included. However, concerning psychiatric evaluations, an initial standardization process of PA models emerged. In conclusion, the approach is in evolution, and novel guidelines are needed to promote the application of PA as a fundamental tool to inform suicide prevention efforts and to assist forensic examiners in court.

Suicide risk assessment: time to think again?

This paper considers recent research on suicide risk assessment to support calls for a 'rethink' of our assessment of the patients in our care, along with the adoption of a more collaborative approach to care planning with service users who remain at risk of self-harm and in need of a plan for their safety.

The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review.

Research has posited that machine learning could improve suicide risk prediction models, which have traditionally performed poorly. This systematic review and meta-analysis evaluated the performance of machine learning models in predicting longitudinal outcomes of suicide-related outcomes of ideation, attempt, and death and examines outcome, data, and model types as potential covariates of model performance. Studies were extracted from PubMed, Web of Science, Embase, and PsycINFO. A bivariate mixed effects meta-analysis and meta-regression analyses were performed for studies using machine learning to predict future events of suicidal ideation, attempts, and/or deaths. Risk of bias was assessed for each study using an adaptation of the Prediction model Risk Of Bias Assessment Tool. Narrative review included 56 studies, and analyses examined 54 models from 35 studies. The models achieved a very good pooled AUC of 0.86, sensitivity of 0.66 (95% CI [0.60, 0.72)], and specificity of 0.87 (95% CI [0.84, 0.90]). Pooled AUCs for ideation, attempt, and death were similar at 0.88, 0.87, and 0.84 respectively. Model performance was highly varied; however, meta-regressions did not provide evidence that performance varied by outcome, data, or model types. Findings suggest that machine learning has the potential to improve suicide risk detection, with pooled estimates of machine learning performance comparing favourably to performance of traditional suicide prediction models. However, more studies with lower risk of bias are necessary to improve the application of machine learning in suicidology.

Long-Term Use and Application of Systematic Tailored Assessment for Responding to Suicidality (STARS) Protocol Following Original Training.

BACKGROUND: Understanding the use of Systematic Tailored Assessment for Responding to Suicidality protocol (STARS-p) in practice by trained mental health practitioners over the longer- term is critical to informing further developments. The study aim was to examine practitioners' experiences of STARS-p and factors associated with its use in practice over a 12-24-month period after training. METHOD: Practitioners who undertook the STARS-p training completed an online survey 12-24 months post training. The survey focused on the frequency of use of STARS-p (in full and each section) as well as perceptions about STARS-p applied in practice. Analyses included correlations, logistic regression and content analysis. RESULTS: 67 participants (81% female, Mage = 43.2, SD = 10.3) were included in the analyses. A total of 80.6% of participants had used the entire STARS-p at some time-point in their practice and less than half (44.7%) frequently used the entire STARS-p (all components in one administration). Parts A, B and C were used frequently in suicide risk assessment (SRA) by 84%, 71% and 82% of participants, respectively. Use of the entire protocol and different sections was most related to male gender, perceived ease of administration and confidence in the use of the protocol. Qualitative results revealed three main themes. CONCLUSIONS: STARS-p as a whole or its parts, is frequently used. Advantages of, and barriers to, using STARS-p in practice can inform further developments of STARS-p and STARS training.

Suicide risk assessment fears, attitudes and behaviours of lifeline crisis supporters.

Lifeline Australia operates crisis support services through Lifeline Crisis Supporters. An integral part of their role is to conduct online suicide risk assessments with help-seekers. However, there is limited literature regarding suicide risk assessment practices for this population. This study aimed to examine how suicide prevention training, vicarious trauma and fears impacted suicide risk assessment behaviours of Lifeline Crisis Supporters. A cross-sectional survey design was used to recruit a volunteer convenience sample of 125 Lifeline Australia Crisis Supporters (75.2% females; Mage  = 54.9) in 2018 to participate in an online survey. Findings revealed that those with more suicide-specific training had less risk assessment-related fears, and that fears were not related to attitudes towards suicide prevention. There was no significant relationship between vicarious trauma and amount of training or years of experience in the role. Further, participants with higher levels of vicarious trauma demonstrated significantly more negative attitudes towards suicide prevention. Overall, training appears to be a significant factor in suicide risk assessment practice behaviours of Lifeline Crisis Supporters, highlighting a need for ongoing training and support for them. This research also suggests that whilst fears exist, they do not significantly impair Lifeline Crisis Supporters' ability to undertake suicide risk assessment.

Preventing Suicide Among Women Veterans: Gender-Sensitive, Trauma-Informed Conceptualization.

Purpose of Review: There is growing concern regarding suicide among women veterans, who have experienced an increase in suicide rates that has exceeded that reported for other US adult populations. Recent research has bolstered understanding of correlates of suicide risk specific to women veterans. Yet most existing suicide prevention initiatives take a gender-neutral, rather than gender-sensitive, approach. We offer clinical considerations and suggestions for suicide prevention tailored to the needs, preferences, and experiences of women veterans. Discussion is framed around the White House strategy for preventing suicide among military service members and veterans. Recent Findings: Considering high rates of trauma exposure among women veterans, we propose that a trauma-informed lens is essential for taking a gender-sensitive approach to suicide prevention with this population. Nonetheless, research to inform evidence-based assessment and intervention remains largely focused on veteran men or gender-neutral. Integral next steps for research are posited. Summary: Extant research provides an initial foundation for beginning to understand and address suicide among women veterans in a gender-sensitive, trauma-informed manner. Additional research that is specific to women veterans or that examines gender differences is critical to ensure women veterans receive optimal, evidence-based care to prevent suicide.

Finding Effective and Efficient Ways to Integrate Research Advances Into the Clinical Suicide Risk Assessment Interview.

Research in clinical suicidology continues to rapidly expand, much of it with implications for day-to-day clinical practice. Clinicians routinely wrestle with how best to integrate recent advances into practice and how to do so in efficient and effective fashion. This article identifies five critical domains of recent research findings and offers examples of simple questions that can easily be integrated into a clinician's existing suicide risk assessment interview and related protocol helping inform the risk formulation process.

Military mental health professionals' suicide risk assessment and management before and after experiencing a patient's suicide.

OBJECTIVE: This study examines the association between a patient's suicide and the therapist's suicide risk assessment (SRA) and suicide risk management (SRM) of patients, following the occurrence. METHOD: SRA values range from "absence of suicidality" to "immediate suicidal intent to die". SRM consists of therapists' written recommendations. Rates of the various SRA and SRM values in therapists' evaluations were assessed 6-months prior to the suicide and at the two three- and six-month time-points thereafter. RESULTS: Of the 150 soldiers who died by suicides, 30 (20%) visited 50 military therapists in the 6 months preceding their deaths. Using Wilcoxon signed rank test, lower SRA rates of "threatens suicide" were found 2 months after a patient's suicide. Regarding SRM, the mean rates for "recommendations for psychotherapy treatment" were higher at the two (p = 0.022) and the 3 month time-points (p = 0.031) after a suicide. CONCLUSIONS: The SRA findings may indicate therapists' fear of treating suicidal patients, causing them to overlook patients' non-prominent suicide-risk indicators. In SRM, the higher rate of recommendations for additional therapy sessions rather than military release or referrals to other therapists may relate to over-caution and attempts to control the patient's therapy ensuring it's done properly.