Suicide Risk Assessment

The Amager Project IV: suicidal behavior and aftercare: real world data (RWD) from a prospective observational project

BACKGROUND

In an RCT study, OPAC (outreach, problem solving, adherence, continuity) approach to aftercare after suicide attempts had an effect. The present study used the OPAC method in a clinical setting on Amager Copenhagen to patients after suicide attempt (Group 1) and patients with suicide ideation (Group 2) in a real-world data (RWD) study.

AIM

To study whether the OPAC method could provide real world evidence (RWE) for results from the RCT study and long-time prospects.

METHOD

This RWD study included 506 patients and followed them for 5 years. Kaplan-Meyer showed 5 years results. Risk factors for 5 years were calculated.

RESULTS

206 males (mean age 37.9) and 300 females (mean age 35.2) participated. A decline in survival accelerated after 3 years. After a 2-year follow-up, Group 1 had an attempted suicide rate of 12,2% and Group 2 5,4%. After 5 years the numbers were 18% and 10%. There were 3 completed suicides. Risk factors were: earlier suicide attempts, one or both parents or they themselves were alcohol/drug abusers, and a poor social network. Group 1 showed the same result as the intervention group in our earlier RCT study. Group 2 did better. Both groups did better than the control group from our RCT study.

CONCLUSION

The OPAC effect was translated into the daily clinic. Risk factors were previous suicide attempts, alcohol and drug abuse and poor social networks. More specific therapy is needed for some patients to prevent relapse. Focus on enhancing a sense of belongingness and/or treating substance abuse.

Impact of Toxoplasma gondii and Human Microbiome on Suicidal Behavior: A Systematic Review

BACKGROUND

Suicide remains a persistent global health challenge, resisting widespread prevention efforts. According to previous findings, toxoplasmosis is particularly associated with altered decision making, which could lead to risk-taking behavior, thereby increasing the likelihood for suicidal behavior (SB). In addition, discussion about the role of microbiome in psychiatric disorders has emerged lately, which also makes it relevant to investigate its role in the context of SB. Therefore, two systematic reviews are integrated in this paper, and the existing knowledge is comprehensively summarized regarding the association between microbial pathogens and SB.

METHODS

We conducted a systematic search with keywords including SB and Toxoplasma gondii (Suicid* AND Toxoplasm*) and microbiome (Suicid* AND Microbiome AND Microbiota) throughout PubMed and Scopus to retrieve related studies up to 9 November 2023, identifying 24 eligible records. The subjects of the included studies had to have fulfilled the criteria of an SB disorder as defined by DSM-5, and death cases needed to have been defined as suicide.

RESULTS

Most studies reported significant association between toxoplasmosis and SB, suggesting a higher likelihood of SB in the infected population. Regarding the microbiome, only very few studies investigated an association between SB and alterations in the microbiome. Based on six included studies, there were some indications of a link between changes in the microbiome and SB.

CONCLUSION

The cognitive aspects of decision making in T. gondii-infected individuals with SB should be further investigated to unravel the underlying mechanisms. Further sufficiently powered studies are needed to establish a link between SB and alterations in the microbiome.

Are false positives in suicide classification models a risk group? Evidence for "true alarms" in a population-representative longitudinal study of Norwegian adolescents

Introduction

False positives in retrospective binary suicide attempt classification models are commonly attributed to sheer classification error. However, when machine learning suicide attempt classification models are trained with a multitude of psycho-socio-environmental factors and achieve high accuracy in suicide risk assessment, false positives may turn out to be at high risk of developing suicidal behavior or attempting suicide in the future. Thus, they may be better viewed as "true alarms," relevant for a suicide prevention program. In this study, using large population-based longitudinal dataset, we examine three hypotheses: (1) false positives, compared to the true negatives, are at higher risk of suicide attempt in future, (2) the suicide attempts risk for the false positives increase as a function of increase in specificity threshold; and (3) as specificity increases, the severity of risk factors between false positives and true positives becomes more similar.

Methods

Utilizing the Gradient Boosting algorithm, we used a sample of 11,369 Norwegian adolescents, assessed at two timepoints (1992 and 1994), to classify suicide attempters at the first time point. We then assessed the relative risk of suicide attempt at the second time point for false positives in comparison to true negatives, and in relation to the level of specificity.

Results

We found that false positives were at significantly higher risk of attempting suicide compared to true negatives. When selecting a higher classification risk threshold by gradually increasing the specificity cutoff from 60% to 97.5%, the relative suicide attempt risk of the false positive group increased, ranging from minimum of 2.96 to 7.22 times. As the risk threshold increased, the severity of various mental health indicators became significantly more comparable between false positives and true positives.

Conclusion

We argue that the performance evaluation of machine learning suicide classification models should take the clinical relevance into account, rather than focusing solely on classification error metrics. As shown here, the so-called false positives represent a truly at-risk group that should be included in suicide prevention programs. Hence, these findings should be taken into consideration when interpreting machine learning suicide classification models as well as planning future suicide prevention interventions for adolescents.

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.

Identification of young females at high risk of suicide following hospital-treated self-harm in Victoria, Australia

OBJECTIVE

We conducted a data linkage study in Victoria, Australia, to determine the proportion of young females who are treated in hospital for self-harm who go on to die by suicide within 5 years and to identify factors associated with increased suicide risk in this same cohort.

METHOD

We undertook a cohort study following 3689 female patients aged 10-24 years, who were initially treated in hospital for self-harm during the 2-year period January 2011 to December 2012. We followed each patient for 5 years unless they died first, in which case, they were followed until their date of death. We used inpatient admissions from the Victorian Admitted Episodes Dataset and emergency department presentations from the Victorian Emergency Minimum Dataset linked to death data from two sources, the Victorian Suicide Register and the National Death Index.

RESULTS

Twenty-eight individuals (0.76% of the total cohort) died by suicide within 5 years of their index admission. In multivariate survival analysis, only suicide ideation at the time of self-harm (hazard ratio = 4.59; 95% confidence interval: 1.70, 12.38) and a decreasing time between successive self-harm episodes (hazard ratio = 4.38; 95% confidence interval: 1.28, 15.00) were associated with increased suicide risk.

CONCLUSION

Although the vast majority of young females who present to hospital for self-harm do not die by suicide within 5 years, our results suggest young females expressing suicide ideation and those presenting frequently with decreasing time between successive episodes should be prioritised for suicide-prevention efforts.

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

Background

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.

Objective

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.

Method

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).

Results

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.

Conclusion

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.

Predictive value of suicidal risk assessment using data from China's largest suicide prevention hotline

BACKGROUND

Suicide hotlines are widely used, with potential for identification of callers at especially high risk.

METHODS

This prospective study was conducted at the largest psychological support hotline in China. From 2015 to 2017, all distressed callers were consecutively included and assessed, using a standardized scale consisting of 12 elements, yielding scores of high risk (8-16), moderate risk (4-7), and low risk (0-3) for suicidal act. All high-risk and half of moderate- and low-risk callers were scheduled for a 12-month follow-up. Main outcomes were suicidal acts (nonlethal attempt, death) over follow-up.

RESULTS

Of 21,346 fully assessed callers, 5822, 11,791, and 3733 were classified as high-, moderate-, or low-risk for suicidal acts, with 8869 callers (4076 high-, 3258 moderate-, and 1535 low-risk) followed up over 12 months. Over follow-up, 802 (9.0 %) callers attempted suicide or died by suicide. The high-risk callers (15.1 %) had 3-fold higher risk for subsequent suicidal acts than moderate- (5.1 %) and 12-fold higher risk than low-risk callers (1.3 %). The weighted sensitivity, specificity, and positive predictive value of high risk scores were 56.4 %, 74.9 %, and 14.4 %.

LIMITATIONS

Assessed callers with different risk levels were followed disproportionally.

CONCLUSIONS

Suicidal risk assessment during a hotline call is both feasible and predictive of risk, guiding resource allocation to higher risk callers.

The Multi-dimensional Assessment of Suicide Risk in Chronic illness-20 (MASC-20): Development and validation

BACKGROUND

We developed and tested the psychometric properties of the Multi-dimensional assessment of suicide risk in chronic illness-20 (MASC-20), which assess suicidal behavior (SB), and its associated distress in chronic physical illness (CPI).

METHODS

Items were developed by incorporating inputs from patient interviews, a review of existing instruments, and expert consultations. Pilot testing with 109 patients and field testing with 367 patients with renal, cardiovascular, and cerebrovascular diseases were conducted. We analyzed Time (T) 1 data to select items and T2 data to examine psychometric properties.

RESULTS

Forty preliminary items were selected through pilot testing; 20 were finalized from field testing. Optimal internal consistency (α = 0.94) and test-retest reliability (Intra class correlation coefficient = 0.92) of the MASC-20 supported reliability. Good fit of the four-factor model (physical distress, psychological distress, social distress, and SB) from exploratory structural equation modeling demonstrated factorial validity. Its correlations with MINI suicidality (r = 0.59) and the Schedule of Attitudes Toward Hastened Death-abbreviated scores (r = 0.62) indicated convergent validity. Higher MASC-20 scores in patients with clinical levels of depression and anxiety and low health status demonstrated known-group validity. The MASC-20 distress score predicted SB beyond known SB risk factors, supporting incremental validity. A cutoff score of 16 was optimal for identifying suicide risk. The area under the curve was within a moderately accurate range. The sum of sensitivity and specificity (1.66) indicated diagnostic utility.

LIMITATIONS

MASC-20's applicability to other patient populations and its sensitivity to change requires testing.

CONCLUSIONS

The MASC-20 appears to be a reliable and valid tool for assessing SB in CPI.

Prevalence of Depression and Predictors of Discharge to a Psychiatric Hospital in Young People with Hospital-Treated Deliberate Self-Poisoning at an Australian Sentinel Unit

OBJECTIVE

Hospital treated deliberate self-poisoning is common in young people. Internationally, estimates of rates of depression in this population are very wide (14.6% to 88%). The aims of this study were to determine the prevalence of depression and the independent predictors of referral for psychiatric hospitalisation in young people (aged 16 to 25 years) following an index episode of hospital treated deliberate self-poisoning.

METHOD

A retrospective cohort study design (n = 1410), with data drawn from a population-based clinical case register. Unadjusted and adjusted estimates of predictors of referral for psychiatric admission (after-care) used logistic regression models.

RESULTS

Prevalence of any depression diagnosis was 35.5% (n = 500); and 25.4% (n = 358) were referred for a psychiatric admission. The adjusted estimates for predictors of psychiatric inpatient referral were: high suicidal level (OR 118.21: CI 95% 63.23-220.99), low/moderate suicidal level (14.27: 9.38-21.72), any depression (2.88: 1.97-4.22), any psychosis (4.06; 1.15-14.36), older age (1.12: 1.04-1.21), and number of support people (0.88: 0.78-0.98).

CONCLUSION

Depression was diagnosed in more than a third and was an independent predictor of psychiatric inpatient referral, so service providers need to account for this level of need in the provision of assessment and after-care services. Evidence-based guidelines for psychiatric inpatient after-care for deliberate self-poisoning and/or depression in young people are limited. Our explanatory model included suicidal level, depression, psychosis, older age, and available support persons, suggesting that the treating clinicians were making these discharge decisions for admission in keeping with those limited guidelines, although the balance of benefits and harms of psychiatric hospitalisation are not established. Future research examining patient experiences, effectiveness of psychiatric hospitalisation, and alternatives to hospitalisation is warranted.

The Paradox of Suicide Prevention

The recognition that we cannot use risk stratification (high, medium, low) to predict suicide or to allocate resources has led to a paradigm shift in suicide prevention efforts. There are challenges in adapting to these new paradigms, including reluctance of clinicians and services to move away from traditional risk categorisations; and conversely, the risk of a pendulum swing in which the focus of care swings from one approach to determining service priority and focus (e.g., diagnosis, formulation, risk and clinical care) to a new focus (e.g., suicide specific and non-clinical care), potentially supplanting the previous approach. This paper argues that the Prevention Paradox provides a useful mental model to support a shift in paradigm, whilst maintaining a balanced approach that incorporates new paradigms within the effective aspects of existing ones. The Prevention Paradox highlights the seemingly paradoxical situation where the greatest burden of disease or death is caused by those at low to moderate risk due their larger numbers. Current planning frameworks and resources do not support successful or sustainable adoption of these new approaches, leading to missed opportunities to prevent suicidal behaviours in healthcare. Adopting systems approaches to suicide prevention, such as the Zero Suicide Framework, implemented in a large mental health service in Australia and presented in this paper as a case study, can support a balanced approach of population- and individual-based suicide prevention efforts. Results demonstrate significant reductions in re-presentations with suicide attempts for consumers receiving this model of care; however, the increasing numbers of placements compromise the capacity of clinical teams to complete all components of standardised pathway of care. This highlights the need for review of resource planning frameworks and ongoing evaluations of the critical aspects of the interventions.

A systematic review of evidence-based aftercare for older adults following self-harm

OBJECTIVE

Self-harm is closely associated with suicide in older adults and may provide opportunity to intervene to prevent suicide. This study aimed to systematically review recent evidence for three components of aftercare for older adults: (1) referral pathways, (2) assessment tools and safety planning approaches and (3) engagement and intervention strategies.

METHODS

Databases PubMed, Medline, PsychINFO, Embase and CINAHL were searched from January 2010 to 10 July 2021 by two reviewers. Empirical studies reporting aftercare interventions for older adults (aged 60+) following self-harm (including with suicidal intent) were included. Full text of articles with abstracts meeting inclusion criteria were obtained and independently reviewed by three authors to determine final studies for review. Two reviewers extracted data and assessed level of evidence (Oxford) and quality ratings (Alberta Heritage Foundation for Medical Research Standard Quality Assessment Criteria for quantitative and Attree and Milton checklist for qualitative studies), working independently.

RESULTS

Twenty studies were reviewed (15 quantitative; 5 qualitative). Levels of evidence were low (3, 4), and quality ratings of quantitative studies variable, although qualitative studies rated highly. Most studies of referral pathways were observational and demonstrated marked variation with no clear guidelines or imperatives for community psychiatric follow-up. Of four screening tools evaluated, three were suicide-specific and one screened for depression. An evidence-informed approach to safety planning was described using cases. Strategies for aftercare engagement and intervention included two multifaceted approaches, psychotherapy and qualitative insights from older people who self-harmed, carers and clinicians. The qualitative studies identified targets for improved aftercare engagement, focused on individual context, experiences and needs.

CONCLUSION

Dedicated older-adult aftercare interventions with a multifaceted, assertive follow-up approach accompanied by systemic change show promise but require further evaluation. Research is needed to explore the utility of needs assessment compared to screening and evaluate efficacy of safety planning and psychotherapeutic approaches.

Assessment of suicide risk in mental health practice: shifting from prediction to therapeutic assessment, formulation, and risk management

Suicide prevention in psychiatric practice has been dominated by efforts to predict risk of suicide in individual patients. However, traditional risk prediction measures have been shown repeatedly in studies from high income countries to be ineffective. Several factors might contribute to clinicians' preoccupation with risk prediction, which can have negative effects on patient care and also on clinicians where prediction is seen as failing. The model of therapeutic risk assessment, formulation, and management we outline in this article regards all patients with mental health problems as potentially at increased risk of suicide. It is aimed at reducing risk through use of a person-centred approach. We describe how a move towards therapeutic risk assessment, formulation, and risk management, including collaborative safety planning, could help clinicians develop a more tailored approach to managing risk for all patients, incorporating potentially therapeutic effects as well as helping to identify other risk reduction interventions. Such an approach could lead to enhanced patient safety and quality of care, which is more acceptable to patients.

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.

Lifeline Crisis Chat: Coding form development and findings on chatters' risk status and counselor behaviors

OBJECTIVE

This study aimed to develop a reliable tool for the abstraction of data from crisis chat transcripts; to describe chatters' suicide risk status and selected counselor behaviors; and to examine the relationship of chatters' self-reported pre-chat suicidal thoughts to counselor behaviors and to chatters' disclosures of suicide risk during the chat conversation.

METHODS

Coders used an instrument developed for this study to abstract data from 1034 crisis chats handled by the National Suicide Prevention Lifeline Crisis Chat network in 2015. The relationship of transcript coding data to data from an automated pre-chat survey (PCS) was examined.

RESULTS

Lifeline Crisis Chat serves a young (median age = 21), high-risk population: 84.0% of chats (869/1034) came from chatters endorsing current or recent suicidal thoughts on the PCS. Counselors engaged in rapport-building on 93.3%, problem-solving on 70.1%, and suicide risk assessment on 67.7% of these 869 chats. Counselor risk assessment behavior, and the availability of information on suicide risk in the chat transcript, varied significantly by the chatter's PCS response.

CONCLUSION

Crisis counselors are able to implement keystones of Lifeline's crisis intervention model over the medium of online chat. Additional efforts are needed to ensure that suicide risk is assessed on every chat.

Optimizing the Beck Scale for Suicide Ideation: An Item Response Theory Approach Among U.S. Military Personnel

The Beck Scale for Suicide Ideation (BSS) is one of the most used and empirically supported suicide risk assessment measures for behavioral health clinicians and researchers. However, the 19-item BSS is a relatively long measure and can take 5 to 10 minutes to administer. This study used Item Response Theory (IRT) techniques across two samples of mostly U.S. military service members to first identify (n₁ = 1,899) and then validate (n₂ = 757) an optimized set of the most informative BSS items. Results indicated that Items 1, 2, 4, 6, and 15 provided a similar-shaped test information curve across the same range of the latent trait as the full-length BSS and showed reliable item functioning across participant characteristics. The sum score of these five items showed a linear score linkage with the full-scale score, ρ > 0.87, and was equally as sensitive as the full scale for prospectively predicting near-term suicidal behavior at 74% with a cut score ≥1 (equivalent to full-scale score ≥6). Results are consistent with those from civilian samples. In time- or length-limited assessments, using these five BSS items may improve administration efficiency over the full BSS, while maintaining classification sensitivity.This study suggests that summing Items 1, 2, 4, 6, and 15 of the Beck Scale for Suicide Ideation (BSS) is an acceptable approach for shortening the full-length measure.

Working with Young People at Risk of Suicidal Behaviour and Self-Harm: A Qualitative Study of Australian General Practitioners' Perspectives

General Practitioners (GPs) play a crucial role in the identification and support of young people at risk of suicidal behaviour and self-harm; however, no studies have explored GPs' perspectives, approaches, challenges, and resource needs when working with this cohort in an Australian setting. This was a qualitative study where fifteen GPs (Mage = 45.25 years) from multiple clinics in Western Australia took part in semi-structured interviews, and data were analysed thematically. Seven main themes were identified: (1) working with young people has its unique challenges; (2) screening and assessment tools can help to manage uncertainty and discomfort; (3) going beyond tools-the dialogue and relationship are most important; (4) there are limits to what we can offer in the time available; (5) the service access and referral pathways lack clarity and coordination; (6) the provision of mental health support should not fall on GPs alone; and (7) more comprehensive training in suicide and self-harm is needed. The findings highlight a number of opportunities to enhance care and better assist GPs working with young people who present with suicidal behaviour and self-harm, including considerations for conducting assessments, targeted resources such as training, and system and service improvements.

Psychiatry in the Digital Age: A Blessing or a Curse?

Social distancing and the shortage of healthcare professionals during the COVID-19 pandemic, the impact of population aging on the healthcare system, as well as the rapid pace of digital innovation are catalyzing the development and implementation of new technologies and digital services in psychiatry. Is this transformation a blessing or a curse for psychiatry? To answer this question, we conducted a literature review covering a broad range of new technologies and eHealth services, including telepsychiatry; computer-, internet-, and app-based cognitive behavioral therapy; virtual reality; digital applied games; a digital medicine system; omics; neuroimaging; machine learning; precision psychiatry; clinical decision support; electronic health records; physician charting; digital language translators; and online mental health resources for patients. We found that eHealth services provide effective, scalable, and cost-efficient options for the treatment of people with limited or no access to mental health care. This review highlights innovative technologies spearheading the way to more effective and safer treatments. We identified artificially intelligent tools that relieve physicians from routine tasks, allowing them to focus on collaborative doctor-patient relationships. The transformation of traditional clinics into digital ones is outlined, and the challenges associated with the successful deployment of digitalization in psychiatry are highlighted.

The relationship between self-criticism and suicide probability

The relationship of self-to-self relating and suicide has received attention in explanatory models of suicide. However, exploration of specific types of self-relationships, namely feelings of inadequacy (associated with perfectionism), self-attacking and the ability to be kind and nurturing towards the self has received limited attention in a suicidal population. The present study assessed the relative contribution of self-criticism to suicide probability, alongside established predictors of suicidal ideation; hopelessness, depression, defeat and entrapment. Participants completed measures of inadequacy, self-attacking, self-reassurance, defeat, entrapment, depression and hopelessness (N = 101). A correlation, regression and mediation analysis was undertaken. Results demonstrated that self-attacking has a direct relationship with suicide probability, alongside established predictors; entrapment and hopelessness. Depressive symptomology was not found to be a significant predictor of suicide probability in this population. Addressing particularly hostile forms of self-criticism may be a promising area in terms of future research and clinical practice. Entrapment continues to be a significant predictor of suicide risk and interventions that target this experience should be explored.

Countertransference towards suicidal patients: a systematic review

Countertransference towards suicidal patients may blur healthcare professionals’ clinical judgment and lead to suboptimal decision-making. We conducted a systematic review of the quantitative studies on this topic. Following PRISMA guidelines, various databases were searched for studies measuring countertransference in healthcare professionals treating suicidal patients. Two authors independently performed screening and the quality of included studies was formally assessed. Ten studies were identified (3/5/2 of low/intermediate/high quality, respectively). Cross-sectional studies showed evidence for specific and adverse countertransference (e.g., disinterest, anxiety, overwhelming, rejection, helplessness or distress) towards suicidal patients. Furthermore, countertransference was prospectively associated with suicidal behavior and ideation in studies that explored this issue, but the meaning of this association remains to be clarified. Healthcare professionals’ characteristics (e.g. professional background, gender, personality traits) influenced countertransference. Suicidal patients elicit adverse countertransference, which should be addressed in clinical practice and through dedicated training.

Using categorical data analyses in suicide research: Considering clinical utility and practicality

OBJECTIVE

Categorical data analysis is relevant to suicide risk and prevention research that focuses on discrete outcomes (e.g., suicide attempt status). Unfortunately, results from these analyses are often misinterpreted and not presented in a clinically tangible manner. We aimed to address these issues and highlight the relevance and utility of categorical methods in suicide research and clinical assessment. Additionally, we introduce relevant basic machine learning methods concepts and address the distinct utility of the current methods.

METHOD

We review relevant background concepts and pertinent issues with references to helpful resources. We also provide non-technical descriptions and tutorials of how to convey categorical statistical results (logistic regression, receiver operating characteristic [ROC] curves, area under the curve [AUC] statistics, clinical cutoff scores) for clinical context and more intuitive use.

RESULTS

We provide comprehensive examples, using simulated data, and interpret results. We also note important considerations for conducting and interpreting these analyses. We provide a walk-through demonstrating how to convert logistic regression estimates into predicted probability values, which is accompanied by Appendices demonstrating how to produce publication-ready figures in R and Microsoft Excel.

CONCLUSION

Improving the translation of statistical estimates to practical, clinically tangible information may narrow the divide between research and clinical practice.

Impact of Systematic Tailored Assessment for Responding to Suicidality (STARS) Protocol Training on Mental Health Professionals' Attitudes, Perceived Capabilities, Knowledge, and Reluctance to Intervene

BACKGROUND AND AIMS

Systematic Tailored Assessment for Responding to Suicidality (STARS) protocol and associated training were developed with the key objectives of supporting clinicians to conduct a suicide enquiry, obtaining a comprehensive account of psycho-social factors contributing to suicidality, and collaboratively developing a safety plan with clients. STARS training aims to address knowledge, attitudes and capabilities that influence intervention behavior/skills. This study aimed to examine associations between clinician characteristics and pre-training competencies in suicide risk assessment (SRA), as well as the impact of STARS training workshop on clinician competencies; and to determine the predictors of SRA training outcomes.

METHOD

Australian mental health professionals working with suicidal persons who undertook the STARS 2-day face-to-face workshop between 2018 and 2020 completed an online survey at pre- and post-training. Of the 222 participants who completed the pre-training questionnaire, 144 (64.9%) also completed the post-training questionnaire. Participants were mostly female (75.7%), had completed a university degree (86.4%), had <10 years of experience in suicide prevention (71.7%), and were allied and mental health professionals (78.1%). We used linear mixed-effects regression for statistical analyses.

RESULTS

STARS participants who reported higher perceived capability at baseline had significantly greater formal and informal training, more years of experience in suicide prevention, and were more likely to have experienced client suicide and/or suicide attempt and to report fewer SRA related fears. We found overall significant positive impacts of STARS training on clinician competencies (attitudes, perceived capability, declarative knowledge) from pre- to post-training. The most distinct changes following STARS training were for perceived capability and declarative knowledge. Participants who had more positive attitudes after training were significantly more likely to have had less prior supervision/mentoring. Reluctance to intervene was not found to significantly change after training.

CONCLUSIONS

We found evidence that attitudes, perceived capability and declarative knowledge changed positively from pre- to post-STARS training among mental health professionals. Underpinned by the minimum standardized SRA competencies, STARS training may be critical for informing evidence-based knowledge and skills in SRA and safety planning.

Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study

BACKGROUND

A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making regarding a service response in terms of more detailed assessments and/or intervention. The aim of this study was to predict self-harm within six-months after initial presentation.

METHOD

The study included 1962 young people (12-30 years) presenting to youth mental health services in Australia. Six machine learning algorithms were trained and tested with ten repeats of ten-fold cross-validation. The net benefit of these models were evaluated using decision curve analysis.

RESULTS

Out of 1962 young people, 320 (16%) engaged in self-harm in the six months after first assessment and 1642 (84%) did not. The top 25% of young people as ranked by mean predicted probability accounted for 51.6% - 56.2% of all who engaged in self-harm. By the top 50%, this increased to 82.1%-84.4%. Models demonstrated fair overall prediction (AUROCs; 0.744-0.755) and calibration which indicates that predicted probabilities were close to the true probabilities (brier scores; 0.185-0.196). The net benefit of these models were positive and superior to the 'treat everyone' strategy. The strongest predictors were (in ranked order); a history of self-harm, age, social and occupational functioning, sex, bipolar disorder, psychosis-like experiences, treatment with antipsychotics, and a history of suicide ideation.

CONCLUSION

Prediction models for self-harm may have utility to identify a large sub population who would benefit from further assessment and targeted (low intensity) interventions. Such models could enhance health service approaches to identify and reduce self-harm, a considerable source of distress, morbidity, ongoing health care utilisation and mortality.

An investigation of clinical decisionmaking: identifying important factors in treatment planning for suicidal patients in the emergency department

OBJECTIVE

We sought to evaluate the influence of several well-documented, readily available risk factors that may influence a psychiatric consultant's decision to admit an emergency department (ED) patient reporting suicidal ideation for psychiatric hospitalization.

METHODS

We conducted a retrospective study of adult patients presenting to six affiliated EDs within Pennsylvania from January 2015 to June 2017. We identified 533 patients reporting current active suicidal ideation and receiving a complete psychiatric consultation. Socio-demographic characteristics, psychiatric presentation and history, and disposition were collected. Decision tree analysis was conducted with disposition as the outcome.

RESULTS

Four of 27 variables emerged as most influential to decisionmaking, including psychiatric consultant determination of current suicide risk, patient age, current depressive disorder diagnosis, and patient history of physical violence. Likelihood of admission versus discharge ranged from 97% to 58%, depending on the variables considered. Post hoc analysis indicated that current suicide plan, access to means, lack of social support, and suicide attempt history were significantly associated with psychiatric consultant determination of moderate-to-high suicide risk, with small-to-medium effect sizes emerging.

CONCLUSIONS

Only a handful of variables drive disposition decisions for ED patients reporting current active suicidal ideation, with both high and low fidelity decisions made. Patient suicide risk, determined by considering empirically supported risk factors for suicide attempt and death, contributes the greatest influence on a psychiatric consultant's decision to admit. In line with American College of Emergency Physicians (ACEP) recommendations, this study accentuates the importance of using clinical judgment and adjunct measures to determine patient disposition within this population.

Understanding and managing suicide risk

BACKGROUND

Suicidal behaviours and non-suicidal self-harm (NSSH) are global public health concerns that affect millions of lives.

SOURCES OF DATA

This review is a narrative synthesis of systematic reviews, meta-analyses of randomized control trials (RCTs) and landmark studies published in scientific journals.

AREAS OF AGREEMENT

Restricting access to lethal means reduces the likelihood of future suicide deaths.

AREAS OF CONTROVERSY

Our ability to predict future suicidal behaviour is no better than chance. No individual risk prediction instrument offers sufficient sensitivity and specificity to inform clinically useful decision-making.

GROWING POINTS

Different types of psychosocial interventions may be effective in preventing future suicide attempts; such interventions include clinical assessment, tailored crisis response and safety plans and follow-up contact.

AREAS TIMELY FOR DEVELOPING RESEARCH

Whilst some psychosocial interventions can be effective in reducing suicide risk, little is known about the mechanisms of recovery from suicidal thoughts and behaviours.

Hospital-treated deliberate self-poisoning in the older adult: Identifying specific clinical assessment needs

BACKGROUND

Hospital-treated deliberate self-poisoning is common, with a median patient age of around 33 years. Clinicians are less familiar with assessing older adults with self-poisoning and little is known about their specific clinical requirements.

OBJECTIVE

To identify clinically important factors in the older-age population by comparing older adults (65+ years) with middle-aged adults (45-64 years) during an index episode of hospital-treated deliberate self-poisoning.

METHODS

A prospective, longitudinal, cohort study of people presenting to a regional referral centre for deliberate self-poisoning (Calvary Mater Newcastle, Australia) over a 10-year period (2003-2013). We compared older-aged adults with middle-aged adults on demographic, toxicological and psychiatric variables and modelled independent predictors of referral for psychiatric hospitalisation on discharge with logistic regression.

RESULTS

There were (n = 157) older-aged and (n = 925) middle-aged adults. The older-aged group was similar to the middle-aged group in several ways: proportion living alone, reporting suicidal ideation/planning, prescribed antidepressant and antipsychotic drugs, and with a psychiatric diagnosis. However, the older-aged group were also different in several ways: greater proportion with cognitive impairment, higher medical morbidity, longer length of stay, and greater prescription and ingestion of benzodiazepines in the deliberate self-poisoning event. Older age was not a predictor of referral for psychiatric hospitalisation in the multivariate model.

CONCLUSION

Older-aged patients treated for deliberate self-poisoning have a range of clinical needs including ones that are both similar to and different from middle-aged patients. Individual clinical assessment to identify these needs should be followed by targeted interventions, including reduced exposure to benzodiazepines.

PROTECT: Relational safety based suicide prevention training frameworks

Preventing suicide is a global priority, and staff training is a core prevention strategy. However, frontline pressures make translating training into better care and better outcomes difficult. The aim of the paper was to highlight challenges in suicide risk assessment and management and introduce training frameworks to assist with mindful practice so professionals can strike a balance between risk and recovery. We combined the scientific literature with contemporary practice from two successful initiatives from Cambridgeshire, UK: 333 - a recovery-oriented model of inpatient/community crisis care and PROMISE - a programme to reduce coercion in care by enhancing patient experience. The resulting PROTECT (PROactive deTECTion) frameworks operationalize ongoing practice of relational safety in these programmes. PROTECT is a combination of novel concepts and adaptations of well-established therapeutic approaches. It has four training frameworks: AWARE for reflection on clinical decisions; DESPAIR for assessment; ASPIRE for management; and NOTES for documentation. PROTECT aims to improve self-awareness of mental shortcuts and risk-taking thresholds and increase rigour through time-efficient cross-checks. The training frameworks should support a relational approach to self-harm/suicide risk detection, mitigation, and documentation, making care safer and person-centred. The goal is to enthuse practitioners with recovery-oriented practice that draws on the strengths of the person in distress and their natural circle of support. It will provide the confidence to engage in participatory approaches to seek out unique individualized solutions to the overwhelming psychological pain of suicidal distress. Future collaborative research with people with lived and carer experience is needed for fine-tuning.

Technological Advances and the Future of Suicide Prevention: Ethical, Legal, and Empirical Challenges

Technological advancements have brought multiple and diverse benefits to our human existence. In suicide prevention, new technologies have spurred great interest in and reports of the applicability to assessing, monitoring, and intervening in various community and clinical populations. We argue in this article that we need to better understand the complexities of implementation of technological advances; especially the accuracy, effectiveness, safety, ethical, and legal issues, even as implementation occurs at individual, clinical, and population levels, in order to achieve that measure of public health impact we all desire (i.e., greater benefit than harm).

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis

BACKGROUND

Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.

METHODS

We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.

RESULTS

16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).

CONCLUSIONS

PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

A comparison between American and Chinese college students on suicide-related behavior parameters

BACKGROUND/OBJECTIVE

The United States (US) and China are the two largest economies, but recent and directly comparable studies on suicide-related behaviors in the two countries are lacking. By using the Suicidal Behaviors Questionnaire-Revised (SBQ-R), item-level comparison was performed in assessing self-reported suicide-related behaviors between the US and Chinese undergraduates.

METHOD

This study involved a total of 3,185 college students aged between 18 to 24 years (1,185 US college students, and 2,000 Chinese students who were randomly selected from a large sample of 11,806 Chinese college students). Participants filled out the 4-item SBQ-R.

RESULTS

Participants' responses were compared by country and sex. There was a higher overall risk of suicide-related behaviors among US students (24.3%) compared to Chinese students (17.0%). US students also reported higher lifetime attempt, past-year ideation, and lifetime threat. US female college students reported the highest suicide-related behaviors compared to other sub-groups.

CONCLUSIONS

There is a need to tailor specific interventions to alleviate college students' suicide-related behaviors in the US and China, with a particular focus on US females.

Repeated presentation of children and adolescents to the emergency department following self-harm: A retrospective audit of hospital data

OBJECTIVE

To examine re-presentation rates for self-harm in patients aged 0-18 years to the ED of a tertiary paediatric hospital in Melbourne, Australia, and associated patient, family and hospital presentation factors.

METHODS

Data for presentations from 1 July 2016 to 31 December 2018 were extracted from the hospital's electronic medical record system. Self-harm presentations were identified through automated, rule-based coding and manual review of medical notes. Re-presentation rates for intervals up to 12 months were estimated using survival methods with risk factor associations examined using Cox regression.

RESULTS

Of the 952 presentations for self-harm after 1 January 2017, 529 were considered first presentations. An estimated 15% (95% confidence interval [CI] 12-19), 20% (95% CI 17-24) and 23% (95% CI 19-27) re-presented for self-harm within 3, 6 and 12 months, respectively. A total of 82% of all presentations were for girls. Patients were more likely to re-present if they had previously presented more than once, were flagged as vulnerable (hazard ratio [HR] 1.35, 95% CI 1.08-1.68), had a history of substance abuse (HR 1.30, 95% CI 1.03-1.64), were female (HR 1.43, 95% CI 0.92-2.21), had self-cut (HR 1.38, 95% CI 0.96-1.97), had an aggressive behaviour response team called during the visit (HR 1.44, 95% CI 0.85-2.45) or had a history of depression (HR 1.27, 95% CI 0.99-1.63).

CONCLUSIONS

In this paediatric ED, almost one in four patients re-presented with self-harm within 12 months. Previous presentations and other factors were associated with risk of re-presenting, although no factor was strongly predictive. Future research might examine the generalisability of these findings across settings and explore strategies for prevention.

Suicide prevention: Using the number of health complaints as an indirect alternative for screening suicidal adolescents

BACKGROUND

Suicide is the second leading cause of death in adolescents. Screening for persons at risk usually includes asking about suicidal ideation, which is considered inappropriate in some societies and situations. To avoid directly addressing suicide, this paper investigates whether the Health Behaviour in School-aged Children Symptom Checklist (HBSC-SCL), a validated non-clinical measure of eight subjective health complaints (e.g. headache, feeling low), could be used as a tool for screening suicidal ideation and behavior in adolescents.

METHODS

5262 secondary school students aged 12-18 answered the Luxembourgish HBSC 2014 survey, including the HBSC-SCL items and suicidal ideation and behavior questions.

RESULTS

Each HBSC-SCL item correlates with suicidal ideation and behavior. A sum score was calculated ranging from zero to eight health complaints to predict respondents who considered suicide (area under the ROC curve = 0.770). The ideal cut-off for screening students who consider suicide is three or more health complaints: sensitivity is 66.3%, specificity is 75.9% and positive predictive value is 32.9%.

LIMITATIONS

One limitation is HBSC-SCL's low positive predictive value. This is a general problem of screening rare events: the lower the prevalence, the lower the positive predictive value. Sensitivity and specificity could be improved by taking age-, gender- and country-specific cut-off values, but such refinements would make the score calculation more complicated.

CONCLUSIONS

The HBSC-SCL is short, easy to use, with satisfactory screening properties. The checklist can be used when suicide cannot be addressed directly, and also in a more general context, e.g. by school nurses when screening adolescents.

INQ-15 cut-off scores for suicidal ideation screening of women with chronic, invisible illnesses

In the interpersonal theory of suicide, perceived burdensomeness (PB) and thwarted belongingness (TB) are proximal triggers of suicidal ideation. Using the 15-item version of the Interpersonal Needs Questionnaire (INQ-15), suicidal ideation in psychiatric inpatients was predicted by the PB and TB scales, and cut-off scores were recommended. In this study, women (N = 942) who reported one or more chronic, invisible illnesses completed an online survey including the INQ-15 and the Suicide Behaviours Questionnaire-Revised (SBQ-R). PB and TB correlated significantly with SBQ-R total scores (r = 0.575 and 0.437, respectively; p < 0.01). In a Receiver Operating Characteristic analysis, scores of 17 for PB and 37 for TB maximized the correct classification of high-risk and low-risk participants, with slightly higher classification accuracy for PB than TB (AUCs = 0.781 and 0.701, respectively). These results support the INQ-15 scales in screening for suicidal ideation among chronically ill women.