BACKGROUND: In an age when telehealth services are increasingly being used for forward triage, there is a need for accurate suicide risk detection. Vocal characteristics analyzed using artificial intelligence are now proving capable of detecting suicide risk with accuracies superior to traditional survey-based approaches, suggesting an efficient and economical approach to ensuring ongoing patient safety.
OBJECTIVE: This systematic review aimed to identify which vocal characteristics perform best at differentiating between patients with an elevated risk of suicide in comparison with other cohorts and identify the methodological specifications of the systems used to derive each feature and the accuracies of classification that result.
METHODS: A search of MEDLINE via Ovid, Scopus, Computers and Applied Science Complete, CADTH, Web of Science, ProQuest Dissertations and Theses A&I, Australian Policy Online, and Mednar was conducted between 1995 and 2020 and updated in 2021. The inclusion criteria were human participants with no language, age, or setting restrictions applied; randomized controlled studies, observational cohort studies, and theses; studies that used some measure of vocal quality; and individuals assessed as being at high risk of suicide compared with other individuals at lower risk using a validated measure of suicide risk. Risk of bias was assessed using the Risk of Bias in Non-randomized Studies tool. A random-effects model meta-analysis was used wherever mean measures of vocal quality were reported.
RESULTS: The search yielded 1074 unique citations, of which 30 (2.79%) were screened via full text. A total of 21 studies involving 1734 participants met all inclusion criteria. Most studies (15/21, 71%) sourced participants via either the Vanderbilt II database of recordings (8/21, 38%) or the Silverman and Silverman perceptual study recording database (7/21, 33%). Candidate vocal characteristics that performed best at differentiating between high risk of suicide and comparison cohorts included timing patterns of speech (median accuracy 95%), power spectral density sub-bands (median accuracy 90.3%), and mel-frequency cepstral coefficients (median accuracy 80%). A random-effects meta-analysis was used to compare 22 characteristics nested within 14% (3/21) of the studies, which demonstrated significant standardized mean differences for frequencies within the first and second formants (standardized mean difference ranged between -1.07 and -2.56) and jitter values (standardized mean difference=1.47). In 43% (9/21) of the studies, risk of bias was assessed as moderate, whereas in the remaining studies (12/21, 57%), the risk of bias was assessed as high.
CONCLUSIONS: Although several key methodological issues prevailed among the studies reviewed, there is promise in the use of vocal characteristics to detect elevations in suicide risk, particularly in novel settings such as telehealth or conversational agents.
BACKGROUND: PROSPERO International Prospective Register of Systematic Reviews CRD420200167413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020167413.

BACKGROUND: Because of the pivotal role that family members play in caring for their suicidal relative, insight into their experiences is necessary to develop good support for them.
OBJECTIVE: This systematic review aimed to aggregate qualitative research examining the experiences of family members living with their suicidal relative, and their impact on daily life.
METHODS: Systematic searches, covering the period 2000-2022, were conducted in Medline, Embase, PsycINFO, Ovid Nursing database and CINAHL. The JBI-QARI meta-aggregation approach and the PRISMA guidelines were followed.
RESULTS: Eleven studies met the inclusion criteria. Six themes were identified: The hard job of managing the risk of suicide; contributing to the relative\'s survival; struggling with professional care; being in a lonely position; pressure on relationships; and disruption of well-being.
CONCLUSIONS: The constant worry of losing their relative and ever-present vigilance dominates their lives in such a way that their well-being may be decreased. Professionals often overlook family members, which leads to feelings of powerlessness and loneliness.
CONCLUSIONS: Collaborating with families in treatment, allowing them to share information and supporting them in the care at home may lead to better outcomes for both the family and their suicidal relative.

BACKGROUND: Drug-induced suicide (DIS) is a severe adverse drug reaction (ADR). Although clinical trials have provided evidence on DIS, limited investigations have been performed on rare ADRs, such as suicide.
OBJECTIVE: We aimed to systematically review case reports on DIS to provide evidence-based drug information.
METHODS: We searched PubMed to obtain case reports regarding DIS published until July 2021. Cases resulting from drugs that are no longer used or are nonapproved, substance use, and suicidal intentions were excluded. The quality of each case report was assessed using the CASE (Case Reports) checklist. We extracted data regarding demographics, medication history, suicide symptoms, and symptom improvement and evaluated the causality of DIS using the Naranjo score. Furthermore, to identify the potential suicidal risk of the unknown drugs, we compared the results of the causality assessment with those of the approved drug labels.
RESULTS: In 83 articles, we identified 152 cases involving 61 drugs. Antidepressants were reported as the most frequent causative drugs of DIS followed by immunostimulants. The causality assessment revealed 61 cases having possible, 89 cases having probable, and 2 cases having definite relationships with DIS. For approximately 85% of suspected drugs, the risk of suicidal ADRs was indicated on the approved label; however, the approved labels for 9 drugs, including lumacaftor/ivacaftor, doxycycline, clozapine, dextromethorphan, adalimumab, infliximab, piroxicam, paclitaxel, and formoterol, did not provide information about these risks.
CONCLUSIONS: We found several case reports involving drugs without suicide risk information on the drug label. Our findings might provide valuable insights into drugs that may cause suicidal ADRs.

Chatbots have become ubiquitous in our daily lives, enabling natural language conversations with users through various modes of communication. Chatbots have the potential to play a significant role in promoting health and well-being. As the number of studies and available products related to chatbots continues to rise, there is a critical need to assess product features to enhance the design of chatbots that effectively promote health and behavioral change.
This scoping review aims to provide a comprehensive assessment of the current state of health-related chatbots, including the chatbots\' characteristics and features, user backgrounds, communication models, relational building capacity, personalization, interaction, responses to suicidal thoughts, and users\' in-app experiences during chatbot use. Through this analysis, we seek to identify gaps in the current research, guide future directions, and enhance the design of health-focused chatbots.
Following the scoping review methodology by Arksey and O\'Malley and guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, this study used a two-pronged approach to identify relevant chatbots: (1) searching the iOS and Android App Stores and (2) reviewing scientific literature through a search strategy designed by a librarian. Overall, 36 chatbots were selected based on predefined criteria from both sources. These chatbots were systematically evaluated using a comprehensive framework developed for this study, including chatbot characteristics, user backgrounds, building relational capacity, personalization, interaction models, responses to critical situations, and user experiences. Ten coauthors were responsible for downloading and testing the chatbots, coding their features, and evaluating their performance in simulated conversations. The testing of all chatbot apps was limited to their free-to-use features.
This review provides an overview of the diversity of health-related chatbots, encompassing categories such as mental health support, physical activity promotion, and behavior change interventions. Chatbots use text, animations, speech, images, and emojis for communication. The findings highlight variations in conversational capabilities, including empathy, humor, and personalization. Notably, concerns regarding safety, particularly in addressing suicidal thoughts, were evident. Approximately 44% (16/36) of the chatbots effectively addressed suicidal thoughts. User experiences and behavioral outcomes demonstrated the potential of chatbots in health interventions, but evidence remains limited.
This scoping review underscores the significance of chatbots in health-related applications and offers insights into their features, functionalities, and user experiences. This study contributes to advancing the understanding of chatbots\' role in digital health interventions, thus paving the way for more effective and user-centric health promotion strategies. This study informs future research directions, emphasizing the need for rigorous randomized control trials, standardized evaluation metrics, and user-centered design to unlock the full potential of chatbots in enhancing health and well-being. Future research should focus on addressing limitations, exploring real-world user experiences, and implementing robust data security and privacy measures.

We conducted an umbrella review to synthesise the evidence from systematic reviews and meta-analyses that examined the risk and protective factors for self-harm in young people. We searched six different databases and used the AMSTAR-2 checklist for quality assessment. The importance of each risk and protective factor was determined based on (1) the number of times it was identified by general reviews examining any risk or protective factor, and (2) the effect sizes from meta-analyses. There were 61 systematic reviews included in this review. The most frequently identified risk factors for self-harm in young people included childhood abuse, depression/anxiety, bullying, trauma, psychiatric illnesses, substance use/abuse, parental divorce, poor family relationships, lack of friends, and exposure to self-harm behaviour in others. The risk factors with the strongest evidence for an association with self-harm were behavioural disorders, personality disorders and depression or anxiety. There was a dearth of systematic reviews examining protective factors but good family/friend relationships were most frequently identified. There was also evidence to show that non-suicidal and suicidal self-harm shared many of the same risk factors. Clinicians and other professionals who work with young people should be particularly cognisant of the psychiatric and adverse life event risk factors as well as the substance use, education-related and individual-level (e.g. being LGB) risk factors for self-harm. Knowledge of risk factors for self-harm can potentially be used to inform the design and implementation of prevention measures and further research is needed on the protective factors for self-harm.

Suicide is a global public health problem. Digital interventions are considered a low-threshold treatment option for people with suicidal ideation or behaviors. Internet-based cognitive behavioral therapy (iCBT) targeting suicidal ideation has demonstrated effectiveness in reducing suicidal ideation. However, suicidal ideation often is related to additional mental health problems, which should be addressed for optimal care. Yet, the effects of iCBT on related symptoms, such as depression, anxiety, and hopelessness, remain unclear.
We aimed to analyze whether digital interventions targeting suicidal ideation had an effect on related mental health symptoms (depression, anxiety, and hopelessness).
We systematically searched CENTRAL, PsycInfo, Embase, and PubMed for randomized controlled trials that investigated guided or unguided iCBT for suicidal ideation or behaviors. Participants reporting baseline suicidal ideation were eligible. Individual participant data (IPD) were collected from eligible trials. We conducted a 1-stage IPD meta-analysis on the effects on depression, anxiety, and hopelessness-analyzed as 2 indices: symptom severity and treatment response.
We included IPD from 8 out of 9 eligible trials comprising 1980 participants with suicidal ideation. iCBT was associated with significant reductions in depression severity (b=-0.17; 95% CI -0.25 to -0.09; P<.001) and higher treatment response (ie, 50% reduction of depressive symptoms; b=0.36; 95% CI 0.12-0.60; P=.008) after treatment. We did not find significant effects on anxiety and hopelessness.
iCBT for people with suicidal ideation revealed significant effects on depression outcomes but only minor or no effects on anxiety and hopelessness. Therefore, individuals with comorbid symptoms of anxiety or hopelessness may require additional treatment components to optimize care. Studies that monitor symptoms with higher temporal resolution and consider a broader spectrum of factors influencing suicidal ideation are needed to understand the complex interaction of suicidality and related mental health symptoms.

This rapid review assessed the suicide risk and risk factors of men who are survivors of sexual assault. We searched three academic databases (Cochrane, Medline and PsycINFO) for peer-reviewed articles in English published between 2010 and 2022. We rated the quality of the evidence based on the National Health and Medical Research Council Levels of Evidence. One systematic review and 16 papers featuring primary studies were included relating to suicide rates and risk. Findings suggest men who have been sexually assaulted (as a child or adult) are at increased risk of suicidal thoughts, attempts and behaviours compared with men who have not been sexually assaulted. Factors such as frequency of abuse and other concurrent forms of childhood abuse may further increase the risk of suicidal thoughts and behaviours. This evidence base was rated as good. The strength of this evidence supports a need for targeted suicide prevention in this high risk group.

Suicide continues to be the second-leading cause of death for all youths aged 15-24. Lesbian, gay, bisexual, transgender, and questioning (LGBTQ) youth are at a significantly higher risk for suicidal thoughts or behaviors (STB). Establishing and understanding correlates of STB among LGBTQ youth is one important step toward enhancing prevention, intervention, and research efforts. To synthesize current knowledge on suicide among LGBTQ youth, the present meta-analyses offer results from 44 studies over the past 20 years. Two-hundred and thirty-four correlation coefficient effect sizes were calculated and categorized. To be included, the study had to quantitatively examine correlates of STB among LGBTQ youth. A number of social-science databases were used to examine the existing published research. Results illustrated the variability among correlates of STB as well as substantial limitations in the extant literature. There was a heterogeneity of effect sizes, a lack of novel correlates, a focus on risk, a dearth of theoretically driven designs, moderate publication bias, a paucity of developmentally driven analyses, and a dearth of research with transgender youth.

Bipolar disorders (BDs) are prevalent mental health illnesses that affect about 1-5% of the total population, have a chronic course and are associated with a markedly elevated premature mortality. One of the contributors for the decreased life expectancy in BD is suicide. Accordingly, the rate of suicide among BD patients is approximately 10-30 times higher than the corresponding rate in the general population. Extant research found that up to 20% of (mostly untreated) BD subjects end their life by suicide, and 20-60% of them attempt suicide at least one in their lifetime. In our paper we briefly recapitulate the current knowledge on the epidemiological aspects of suicide in BD as well as factors associated with suicidal risk in BD. Furthermore, we also discuss concisely the possible means of suicide prevention in BD.

In-patient suicide prevention is a high priority in many countries, but its practice remains poorly understood. Patients in a suicidal crisis who receive psychiatric care can provide valuable insight into understanding and improving patient safety. The aim of this paper was therefore to summarize the qualitative literature regarding suicidal patients\' in-patient care experiences. The following question guided the review: How can we describe suicidal patients\' experiences regarding safety during psychiatric in-patient care?
Systematic searches were conducted in the MEDLINE, Academic Search Premier, CINAHL, SOCINDEX and PsycINFO databases, identifying 20 qualitative studies on suicidal patients and their psychiatric in-patient care experiences. These studies were systematically reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, synthesized via thematic analysis and subjected to quality appraisals.
Patients described safety as \"feeling safe\", and three components, i.e., connection, protection and control, were vital to their experiences of safety. Fulfilling these needs was essential to patients recovering from suicidal crises, feeling safe during encounters with health care professionals and feeling safe from suicidal impulses. Unmet needs for connection, protection and control left patients feeling unsafe and increased their suicidal behaviour.
Our review addresses the importance of adopting a wider perspective of patient safety than considering safety solely in technical and physical terms. Safety for the suicidal patient is highly dependent on patients\' perceptions of their psychological safety and the fulfilment of their needs. The three patient-identified factors mentioned above - connection, protection and control - should be considered an integral part of patient safety practices and should form the basis of future efforts to understand the safety of suicidal patients during psychiatric in-patient care.