Suicide Screening Research Articles

Preschool-Onset Major Depressive Disorder as a Strong Predictor of Suicidal Ideation and Behaviors Into Preadolescence

Suicidal thoughts and behaviors (STBs) in children are an escalating public health concern. This study focused on 1 understudied candidate risk factor, namely, preschool-onset major depressive disorder (PO-MDD), as a predictor of persistent and emerging STBs from early childhood into preadolescence. Participants were 137 children 8 to 12 years of age who met criteria for PO-MDD when they were 3 to 6 years of age, and a nondepressed sample of 53 age-, income-, and sex-matched peers. STBs were reported by caregivers (preschool, preadolescence) and children (preadolescence) using age-appropriate diagnostic interviews. By preadolescence, children who had PO-MDD were 7.38 times more likely than their peers to have endorsed STBs after early childhood (p< .001; 67.9% vs 22.6%), including 6.71 times more likely to have engaged in suicide behaviors/attempts (p= .012; 21.9% vs 3.8%); they were also 8.98 times more likely to have endorsed STBs over the prior month (p= .005; 26.3% vs 3.8%). Similar findings emerged when limiting the PO-MDD group to children without preschool STBs, and when controlling for externalizing comorbidities, implicating PO-MDD as a unique diagnostic predictive risk factor. However, children who had PO-MDD with STBs were 3.46 times more likely than children who had PO-MDD without STBs to endorse later STBs (p= .018; 83.1% vs 54.2%), indicating substantial continuity of preschool STBs alongside strikingly high rates of emerging STBs into preadolescence. This longitudinal study explores preschool onset major depressive disorder (PO-MDD) as a predictor of having suicidal thoughts or attempting suicide by age 12. 137 children aged 8 to 12 years who met criteria for PO-MDD when they were 3 to 6 years of age and 53 non-depressed peers were included in the study. The study found that preadolescents who had experienced preschool-onset depression were 6.14 times more likely to experience active suicidal thoughts and 8.03 times more likely to have made a suicide attempt by age 12 when compared to preadolescents who did not experience preschool depression. Results suggest that children with preschool-onset depression would likely benefit from increased suicide screening, proactive safety planning and early interventions. PO-MDD is a strong risk factor for the emergence and persistence of STBs into preadolescence. Children with PO-MDD would likely benefit from increased suicide screening, proactive safety planning, and early interventions.

Mobile Crisis Services: A Clinician Survey of Current Suicide Prevention Practices and Barriers to Care Delivery.

Mobile crisis teams (MCTs) deploy clinicians to assist individuals in acute crisis in the community. Little is known about the extent to which these teams provide evidence-based practices (EBPs) for suicide prevention nor the barriers they face. We surveyed 120 MCT clinicians across the United States about their: (1) use of suicide risk screening and assessment tools; (2) strategies used to address suicide risk (both EBPs and non-EBPs); and (3) perceived barriers to high-quality MCT services. Nearly all clinicians reported use of validated suicide screening tools and generic "safety planning." However, a sizeable minority also reported use of non-EBPs. Open-ended responses suggested many client/family-, clinician-, and systems-level barriers to MCT use of EBPs for suicide prevention. We identified several targets for future implementation efforts, including the need for de-implementation strategies to reduce use of ineffective and potentially harmful practices, and unique aspects of MCTs that require tailored implementation supports.

Integrated behavioral health services in pediatric primary care and emergency department utilization for suicide risk.

Universal screening for suicide risk in primary care settings is a promising avenue for preventing self-harm and improving health outcomes. Triaging youth to an appropriate level of care, including diverting lower-risk patients from the emergency department (ED) is a meaningful goal. Previous research indicates integrated behavioral health (IBH) may prevent unnecessary admission to the ED on the day of suicide risk screening. We hypothesized that youth who received an IBH consultation the same day as suicide risk screening would be less likely to be admitted to the ED, but more likely to contact IBH services and utilize primary care in the following month. We conducted a retrospective chart review of 3,649 youth aged 10-18 years who were screened with the Ask Suicide-Screening Questions (ASQ) in two pediatric primary care practices. We collected demographic data, ASQ and Patient Health Questionnaire-9 (PHQ-9) scores, as well as patient contacts with IBH, the ED, and medical primary care the day of screening and the following 31 days. We conducted a series of logistic regressions and chi-square analyses to determine whether contact with IBH on the same day as positive suicide risk screenings predicted same-day admission to the ED, IBH contact, and medical primary care utilization. Among the 7,982 ASQ scores, 1,380 (18%) were non-acute and 87 ASQs (1%) screened acutely positive. Over 90% of positive screens were diverted from the ED regardless of IBH contact. None of the patients died from suicide. Same-day IBH was associated with higher likelihood of general ED visits for all positive screens (acute and non-acute together). None of the positive screens that received an IBH consultation on the same day as screening were admitted to the ED in the subsequent month. Contact with IBH the same day as screening positively predicted utilization of IBH and medical primary care services in the subsequent month, especially for youth with minority race and ethnicity identities. In the context of clinics with IBH and systematic risk assessment processes, most youth who screen positive for suicide risk are diverted from the ED. However, contrary to our hypothesis, our study showed that youth who received same-day IBH consultations were more likely to be admitted to the ED compared to peers who did not receive IBH consultations. These findings suggest that systematic suicide screening combined with IBH consultations in pediatric primary care can effectively identify risk levels and triage patients to appropriate care.

Suicides among American Indian/Alaska Native firefighters: Data from the National Violent Death Reporting System, 2003 – 2017

Suicide is a significant public health problem in the United States and disproportionally affects male American Indian/Alaska Natives (AI/AN). Suicide is particularly problematic among AI/AN firefighters who are more likely to report suicide ideation, planning, attempts, and risk compared to non-Hispanic white (NHW) firefighters. The aim of the current study was to compare non-Hispanic AI/AN firefighter and NHW firefighter suicide decedents by demographics and risk/precipitating factors using National Violent Death Reporting System data for 45 male non-Hispanic AI/AN firefighter and 588 male NHW firefighter decedents who died by suicide. Compared to NHW firefighter decedents, AI/AN firefighter decedents were significantly younger and had significantly higher odds of experiencing alcohol use problems and a recent death/suicide of a family member/friend. AI/AN firefighter decedents had significantly lower odds of documented mental health problems, documented diagnosis of depression/dysthymia, receipt of mental health treatment, or leaving a suicide note compared to NHW firefighter decedents. Results from this study may inform tailored suicide prevention and screening efforts among first responders with the goal of lowering suicide mortality among AI/AN firefighters and fire service as a whole.

Intimate partner violence and suicide mortality: a cross-sectional study using machine learning and natural language processing of suicide data from 43 states

IntroductionIntimate partner violence (IPV) is associated with suicidal ideation, yet it remains unclear how often IPV precipitates suicide mortality. To overcome limitations with national data, we applied novel methods to:...

The uncounted casualties of war: suicide in combat veterans.

Military conflicts are ubiquitous. There are a lot of combat veterans around the world. Suicidality in combat veterans is a large and important issue. In this article, the author discusses some aspects of this issue. The combat environment is characterized by violence, physical strains, separation from loved ones and other hardships. Combat deployment may lead to multiple emotional, cognitive, psychosomatic symptoms, suicidal ideation and behavior. Pre-deployment, deployment and post-deployment adversities may increase suicide risk in combat veterans. The act of killing in combat is a stressor which may raise suicide risk. Combat-related injuries are associated with increased suicide risk. Post-deployment difficulties of reintegrating into civilian life may lead to depression and suicidality. Studies suggest that suicidal behavior in combat veterans may have a neurobiological basis. Prevention of suicide among combat veterans should include pre-deployment screening to exclude individuals with psychiatric disorders; psychological support and prevention of harassment and/or abuse during deployment; psychosocial support after deployment; diagnosing and treating psychiatric and medical disorders including neurological disorders; frequent suicide screening; education of mental and non-mental health clinicians, war veterans, their families and friends regarding signs/symptoms of suicidality; and restriction of access to lethal means. We need to study the specific psychobiology of combat veterans to understand how to develop effective suicide prevention interventions for this population.

Suicide Screening and Disclosure: Current Update on Predictive Validity

Suicide Screening and Disclosure: Current Update on Predictive Validity

85.3 Scalable Delivery of Universal Suicide Prevention in Schools: Enhanced Signs of Suicide (SOS) Implementation and Screening

85.3 Scalable Delivery of Universal Suicide Prevention in Schools: Enhanced Signs of Suicide (SOS) Implementation and Screening

5.6 Assessing Prevalence of Suicidality Using the Ask Suicide Screening Questions (ASQ) in Qatar

5.6 Assessing Prevalence of Suicidality Using the Ask Suicide Screening Questions (ASQ) in Qatar

Trajectories of perinatal suicidal ideation from early pregnancy to six weeks postpartum and their influencing factors: A prospective longitudinal study

Few studies focused on the trajectory of perinatal suicidal ideation from early pregnancy and covered whole routine perinatal periods. This study aimed to investigate the prevalence of suicidal ideation from early pregnancy to six weeks postpartum, and further explore the trajectories of perinatal suicidal ideation and their risk factors. A prospective longitudinal study was conducted in a comprehensive tertiary hospital in Hunan province, China among 1089 participants. Perinatal suicidal ideation and depression were assessed by item 9 of Patient Health Questionnaire 9 and the remaining eight items. Sociodemographic and psychological factors were collected by self-reported comprehensive questionnaires. Latent Growth Curve and Growth Mixture Modeling were used to identify the trajectories of suicidal ideation and logistic regression was used to explore risk factors of trajectories. A total of 629 participants were included. The prevalence of suicidal ideation was 16.4% from early pregnancy to six weeks postpartum, with 12.1% in pregnancy and 7.8% in postpartum. Two trajectories were identified: “persistent low levels of suicidal ideation” (92.9%) and “persistent high levels of suicidal ideation” (7.1%). 40.63% of women who screened positive for suicidal ideation during early pregnancy were in the “persistent high level of suicidal ideation” trajectory. A low level of neuroticism and anxiety symptoms during early pregnancy was associated with “persistent high levels of suicidal ideation”. In conclusion, suicidal ideation of women during the perinatal period was dynamic, Suicidal ideation screening and identification in early pregnancy should be addressed for perinatal women to facilitate timely early interventions.

Linguistic correlates of suicidal ideation in youth at clinical high-risk for psychosis.

Suicidal ideation (SI) is prevalent among individuals at clinical high-risk for psychosis (CHR). Natural language processing (NLP) provides an efficient method to identify linguistic markers of suicidality. Prior work has demonstrated that an increased use of "I", as well as words with semantic similarity to "anger", "sadness", "stress" and "lonely", are correlated with SI in other cohorts. The current project analyzes data collected in an SI supplement to an NIH R01 study of thought disorder and social cognition in CHR. This study is the first to use NLP analyses of spoken language to identify linguistic correlates of recent suicidal ideation among CHR individuals. The sample included 43 CHR individuals, 10 with recent suicidal ideation and 33 without, as measured by the Columbia-Suicide Severity Rating Scale, as well as 14 healthy volunteers without SI. NLP methods include part-of-speech (POS) tagging, a GoEmotions-trained BERT Model, and Zero-Shot Learning. As hypothesized, individuals at CHR for psychosis who endorsed recent SI utilized more words with semantic similarity to "anger" compared to those who did not. Words with semantic similarity to "stress", "loneliness", and "sadness" were not significantly different between the two CHR groups. Contrary to our hypotheses, CHR individuals with recent SI did not use the word "I" more than those without recent SI. As anger is not characteristic of CHR, findings have implications for the consideration of subthreshold anger-related sentiment in suicidal risk assessment. As NLP is scalable, findings suggest that language markers may improve suicide screening and prediction in this population.

Routine Pediatric Suicide Screening: Updated Recommendations

Suicide is the 2nd leading cause of death among children aged 10 to 14 and the 3rd leading cause of death among adolescents and young adults in the United States. Research demonstrates that the current depression screenings are missing patients with thoughts of suicide. Given this information, the American Academy of Pediatrics, the American Foundation for Suicide Prevention, and the National Institute of Mental Health released an updated recommendation for suicide risk screening in 2022. The updated recommendations for suicide risk screening are reviewed, and screening tools are provided along with a suicide screening pathway/algorithm and patient and provider resources.

Concordance Between the Ask Suicide Screening Questions (ASQ) and Self-Injurious Thoughts and Behaviors Interview-Self Report (SITBI-SR) Among Autistic and Non-Autistic Adults

Objective This study sought to examine concordance between two commonly used measures of suicidal thoughts and behaviors: the Ask Suicide-Screening Questions (ASQ) and the Self-Injurious Thoughts and Behaviors Interview—Self Report (SITBI-SR). Agreement was operationalized as the presence past month suicidal ideation and lifetime suicide attempts. To explore the utilization of these tools among neurodiverse samples, we also examined the concordance across autistic and non-autistic adults. Methods The sample consisted of 200 individuals recruited online. Half of the sample self-reported a diagnosis of autism. A series of Cohen’s kappas and confidence intervals were computed to assess agreement between the ASQ and SITBI-SR. Cohen’s kappa was computed separately for each set of comparisons for the autistic and non-autistic samples. Results Past month suicidal ideation had a kappa of 0.61 (95%CI = 0.48–0.73). The kappa for lifetime suicide attempts was 0.86 (95%CI = 0.78–0.94). There were no significant differences in agreement between the two measures for autistic versus non-autistic individuals. Conclusions Current findings suggest that the ASQ and SITBI-SR have high concordance with one another. Given that the ASQ and the SITBI-SR are both validated in the general population and that concordance was high and not significantly different based on autism status, the current study provides preliminary evidence that the ASQ and the SITBI-SR function similarly for autistic individuals. HIGHLIGHTS People do not always respond consistently to different STB assessment methods. Findings suggest that the ASQ and SITBI-SR have high concordance with one another. Evidence provided that these measures function similarly for autistic individuals.

Impact of emotional state and suicidal intentions on suicide attempts among Korean adolescents with household financial difficulties following the outbreak of COVID-19: A cross-sectional study.

The recent prolonged coronavirus disease-2019 pandemic has brought an economic crisis to various households, leading to negative mental health such as depression, anxiety, traumatic distress, and suicide risk among adolescents. Adolescents with household financial difficulties due to the coronavirus disease-2019 pandemic show high suicidal tendencies and attempts such as suicidal ideation and plans, their suicidal ideation and plans increase the risk of suicide attempts in South Korea. The purpose of this study was to determine the effects of emotional state and suicidal tendencies on suicide attempts among adolescents with household financial difficulties in early pandemic. This was a secondary data analysis study using statistical data from the 16th (2020) Korea Youth Risk Behavior Web-based Survey. Among 54,948 who participated in the survey, 16,839 (30.6%) adolescents who had household financial difficulties were included in final analysis. Descriptive statistics, chi-squared test, and logistic regression analysis were conducted to analyze data. The strengthening the reporting of observational studies in epidemiology checklist was used for reporting this study. 16,839 adolescents (mean age 15.68 ± 1.76 years; 8709, 51.7% male) who experienced household financial difficulties in the prior year revealed 3 percent (508) had attempted suicide. Suicide attempts differed according to several characteristics and were significantly associated with sex, residence type, drinking experience, depressive mood, perceived happiness, suicidal ideation, and suicide planning. The findings indicate high-risk adolescents with household financial difficulties need a multi-dimensional safety network, suicide screening, and emotional interventions during the pandemic.

Методики оценки риска суицидального поведения в подростковом возрасте: систематический обзор систематических обзоров

&lt;p style="text-align: justify;"&gt;&lt;strong&gt;Study relevance.&lt;/strong&gt; Revealing groups of people at high risk of suicide is important for suicide prevention, especially among adolescents, and the practical way of achieving it is screening adolescents for suicide risk. A major obstacle to the development of screening protocols and other preventive procedures is lack of data or conflicting data on measures that can be used in adolescent samples. &lt;strong&gt;Objective&lt;/strong&gt;. The current systematic review of systematic reviews was carried out to discover measures of suicide risk with a good predictive validity on adolescent samples. Recommendations for screening implementation were also narratively reviewed. &lt;strong&gt;Method&lt;/strong&gt;. Literature search was carried out in PubMed, Cochrane Database of Systematic Reviews, EBSCO Academic Search Premier, EBSCO Health Source: Nursing and Academic Edition, and Elibrary. 10 papers that satisfied all inclusion criteria (systematic reviews of measures assessing the risk of suicide in children and adolescents) were included in the study. &lt;strong&gt;Results&lt;/strong&gt;. The reviews included in the study were of satisfactory quality. Predictive validity was reported for 18 measures, 16 of them were self-report, and 2 were versions of the Implicit Associative Test. Computerized tests showed relatively low predictive validity coefficients, while self-report measures (including screening questions) had higher predictive validity. &lt;strong&gt;Conclusion&lt;/strong&gt;. More studies of predictive validity of the suicide screening measures on adolescent samples are needed. The decision to use a measure in the screening protocol should be also based on practical considerations and resources available to medical workers on cite.&lt;/p&gt;

Universal suicide screening in emergency departments across a large healthcare system

BackgroundSuicidal ideation is a common complaint in Emergency Departments (EDs) across the United States (US) and is an important preventable cause of death. Consequently, current Joint Commission guidelines require screening high-risk patients and those with behavioral health needs for suicide. Accordingly, we implemented universal suicide screening for all patients presenting to EDs in our healthcare system and sought to describe the characteristics of the identified “high-risk” patients. We also sought to determine whether universal suicide screening was feasible and what its impact was on ED length of stay (LOS). MethodsAll ED encounters in the healthcare system were assessed. Data were collected from February 1, 2020, through June 30, 2022. All patients aged 18 and over were screened using the Columbia Suicide Severity Rating Scale (C-SSRS) and categorized as no risk, low risk, moderate risk, and high risk. Encounters were then grouped into ‘high risk” and “not high risk,” defined as no, low, and moderate risk patients. Data collected included gender, discharge disposition, LOS, and insurance status. ResultsA total of 1,058,735 patient encounter records were analyzed. The “high risk” group (n = 11,359; 10.7%) was found to have a higher proportion of male patients (50.9 vs 43.7%) and government payors (71.6 vs. 67.1%) and a higher ED LOS [medians 380 min vs. 198 min] than the not high-risk group (p ≤0.001). Those with suicidal ideation comprised 0.73–1.58% of ED encounters in a given month. A secondary analysis of 2,255,616 ED encounter records from January 2019 – June 30, 2022, revealed that 40,854 (1.81%) encounters required 1:1 observation. The proportion of 1:1 observations in 2019, the year before implementation, was 1.91%. Using a non-inferiority margin of 25%, we found that the proportion of 1:1 patients in 2020, the year following implementation, was non-inferior to (no worse than) the previous year at 2.09% and decreased from 2021 to 2022 (1.69% and 1.57% respectively). ConclusionImplementing universal suicide screening in all EDs within a healthcare system is feasible. The percentage of patients who screened high risk was under 5% of the overall ED population. While the median LOS was longer for “high-risk” patients than for the general ED population, it was not excessively so. Adequate staffing to properly maintain the safety of these patients is paramount.

Suicide risk detection using artificial intelligence: the promise of creating a benchmark dataset for research on the detection of suicide risk.

Suicide is a leading cause of death that demands cross-disciplinary research efforts to develop and deploy suicide risk screening tools. Such tools, partly informed by influential suicide theories, can help identify individuals at the greatest risk of suicide and should be able to predict the transition from suicidal thoughts to suicide attempts. Advances in artificial intelligence have revolutionized the development of suicide screening tools and suicide risk detection systems. Thus, various types of AI systems, including text-based systems, have been proposed to identify individuals at risk of suicide. Although these systems have shown acceptable performance, most of them have not incorporated suicide theories in their design. Furthermore, directly applying suicide theories may be difficult because of the diversity and complexity of these theories. To address these challenges, we propose an approach to develop speech- and language-based suicide risk detection systems. We highlight the promise of establishing a benchmark textual and vocal dataset using a standardized speech and language assessment procedure, and research designs that distinguish between the risk factors for suicide attempt above and beyond those for suicidal ideation alone. The benchmark dataset could be used to develop trustworthy machine learning or deep learning-based suicide risk detection systems, ultimately constructing a foundation for vocal and textual-based suicide risk detection systems.

Feasibility of a universal suicidality tool for adolescents.

The suicide rate among adolescents has been increasing rapidly over the past several years. Adequate screening for suicide risk in this population, particularly youth of color, is lacking. The Ask Suicide-Screening Questions (ASQ) tool was implemented at two adolescent-focused health clinics in a large U.S. city. This project followed the Ottawa Model of Research Use. Participating clinicians were surveyed before and after receiving an educational module on suicide risk screening, the ASQ tool, and clinical pathways. Clinicians were also asked about the feasibility and acceptability of the ASQ tool in their practice. An electronic medical records software was used to gather data on patients newly screened for suicide risk using the ASQ tool. Among eligible patients, 40.2% were screened using the ASQ tool during the 4-month duration of the project. Most clinicians reported that using the tool was feasible within their practice (66%) and 100% endorsed its acceptability (i.e., reporting that they were comfortable screening for suicide and that the ASQ was easy to use). The ASQ may be a promising screening tool for clinicians to use to address the mental health needs of at-risk youth. This project supports the universal acceptability and feasibility of its use in inner-city primary care clinics.

651-P: Sensitivity and Specificity of the PHQ-8 to Identify Depressive Disorder (DD) in Teens with Type 1 Diabetes (T1D)

Objective: A recent study identified that a cut-off score &amp;gt;5 on the Patient Health Questionnaire (PHQ-9) had greater sensitivity and specificity to detect DD in teens with T1D than the normative cut-off score. Still, limited provider training or capacity to intervene on a suicide screening item (item 9) leads some clinics to omit item 9. We examined the ideal cut-off score to detect DD in teens with T1D using the modified PHQ-8 screener, and if removing item 9 impacts sensitivity. Methods: Teens (N=100; Mean age = 15.0 ± 1.7; 60% Male; 87% White; Mean HbA1c = 8.88 ± 1.8%) completed the PHQ-8 electronically. We used the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS DSM-5) depression module to determine if the teen met criteria for DD. We compared teens’ PHQ-8 cut-off scores (PHQ-8 ≥ 10) to KSADS results. Results: Per KSADS, 15% of teens met criteria for current DD. The PHQ-8 demonstrated low sensitivity (.20) to detect DD using a normative cut-off score, but an adjusted cut-off score &amp;gt;5 increased sensitivity (.87) while maintaining good specificity (.80) (Table 1). Conclusions: Using a lower cut-off score of &amp;gt;5 on the PHQ-8 can more reliably identify DD in teens with T1D and matches previous PHQ-9 sensitivity and specificity metrics. This suggests removing item 9 does not negatively impact DD screening accuracy, although clinics should consider alternative methods to screen for suicide risk. Disclosure S.R.Patton: None. A.Marker: None. R.Mcdonough: None. M.A.Clements: Consultant; Glooko, Inc., Research Support; Dexcom, Inc., Abbott Diabetes.

Virtually screening adults for depression, anxiety, and suicide risk using machine learning and language from an open-ended interview.

Current depression, anxiety, and suicide screening techniques rely on retrospective patient reported symptoms to standardized scales. A qualitative approach to screening combined with the innovation of natural language processing (NLP) and machine learning (ML) methods have shown promise to enhance person-centeredness while detecting depression, anxiety, and suicide risk from in-the-moment patient language derived from an open-ended brief interview. To evaluate the performance of NLP/ML models to identify depression, anxiety, and suicide risk from a single 5-10-min semi-structured interview with a large, national sample. Two thousand four hundred sixteen interviews were conducted with 1,433 participants over a teleconference platform, with 861 (35.6%), 863 (35.7%), and 838 (34.7%) sessions screening positive for depression, anxiety, and suicide risk, respectively. Participants completed an interview over a teleconference platform to collect language about the participants' feelings and emotional state. Logistic regression (LR), support vector machine (SVM), and extreme gradient boosting (XGB) models were trained for each condition using term frequency-inverse document frequency features from the participants' language. Models were primarily evaluated with the area under the receiver operating characteristic curve (AUC). The best discriminative ability was found when identifying depression with an SVM model (AUC = 0.77; 95% CI = 0.75-0.79), followed by anxiety with an LR model (AUC = 0.74; 95% CI = 0.72-0.76), and an SVM for suicide risk (AUC = 0.70; 95% CI = 0.68-0.72). Model performance was generally best with more severe depression, anxiety, or suicide risk. Performance improved when individuals with lifetime but no suicide risk in the past 3 months were considered controls. It is feasible to use a virtual platform to simultaneously screen for depression, anxiety, and suicide risk using a 5-to-10-min interview. The NLP/ML models performed with good discrimination in the identification of depression, anxiety, and suicide risk. Although the utility of suicide risk classification in clinical settings is still undetermined and suicide risk classification had the lowest performance, the result taken together with the qualitative responses from the interview can better inform clinical decision-making by providing additional drivers associated with suicide risk.