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

Suicide risk assessments: Why are we still relying on these a decade after the evidence showed they perform poorly?

Suicide deaths have a profound impact on whānau and community and are a tragic loss. However, from a statistical point of view, suicide is a relatively rare event. Predicting rare events is difficult, and the implications for suicide prevention were highlighted in an important editorial in this journal more than a decade ago, yet little seems to have changed. Risk assessment that focuses on accurate prediction of suicide in real-world contexts is given a great deal of attention in mental health services, despite the fact that current scientific knowledge and best practice guidelines in this area highlight that it is unlikely to be a good basis on which to provide access to treatment. It is our view that we have a good enough understanding of the common conditions people who struggle with suicidal distress experience and energy is better directed at acting to reduce exposure to these conditions and providing treatment for those who seek it. Blueprints for successful suicide prevention exist. If we lessen the focus on prediction, we will have greater resources to focus on treatment and prevention.

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.

Strategies to Prevent Elderly Suicide: A Delphi Consensus Study

OBJECTIVES

In the next decades, many countries will become 'ageing societies'. This combined with the current high rates of suicide in later life suggests that many older adults may die by suicide before clinical trials can be conducted to demonstrate the best approaches to prevent late-life suicide.

METHODS

A New Zealand (NZ) 'expert panel' has reviewed key considerations for suicide prevention interventions in older adults based on existing evidence, where available, and expert opinion. The key considerations were extracted from the current literature. The Delphi survey method was used to reach consensus for identifying interventions to be recommended as part of a national strategy for older adults' suicide prevention.

RESULTS

A set of 20 key recommended considerations are presented. The major addition to existing recommendations is the need for 'A suicide prevention strategy for the elderly…' to enhance the national all-ages suicide prevention strategy.

CONCLUSION

The recommended statements are offered for consideration by stakeholder groups preparing new interventions, large-scale public healthcare planning and governmental policy.

Effectiveness of the Hunter Way Back Support Service: An historical controlled trial of a brief non-clinical after-care program for hospital-treated deliberate self-poisoning

INTRODUCTION

Active contact and follow-up interventions have been shown to be effective in reducing repetition of hospital-treated self-harm. The Way Back Support Service (WBSS) is a new service funded by the Australian government to provide three months of non-clinical after-care following a hospital-treated suicide attempt. The aim of this study was to investigate the effectiveness of WBSS in reducing deliberate self-poisoning (DSP) and psychiatric hospital admissions over a 12-month follow-up period for a population of DSP patients within the Hunter (Australia) region.

METHODS

A non-randomized, historical controlled (two periods) trial design with intention-to-treat analyses. Outcome data were drawn from hospital records.

RESULTS

There were a total of 2770 participants across study periods. There were no significant differences between cohorts for proportion with any, or number of, re-admissions for DSP in the follow-up period. For psychiatric admissions, the intervention cohort had a non-significantly greater proportion with any psychiatric admission and significantly more admissions compared to one of the control cohorts.

CONCLUSION

The WBSS model of care should be modified to strengthen treatment engagement and retention and to include established, clinical, evidence-based treatments shown to reduce DSP repetition. Any modified WBSS model should be subject to further evaluation.

Hospital-Based Suicides: Challenging Existing Myths

Myths are widely held and often based on false beliefs. To improve patient safety and speed the translation of research to clinical practice, we highlight and then debunk 10 common myths regarding the assessment, treatment, and management of hospitalized patients at risk for suicide. Myths regarding hospital-based suicides are examined and empirical evidence that counters each myth is offered. Ten common myths regarding hospital-based suicides are found to be untrue or unsupported based on existing empirical evidence. Rethinking common beliefs and practices that lack empirical support and seeking alternatives based on research evidence is consistent with an emphasis on evidence-based practices leading to improved patient care and protection.

Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera Based Assistive Technologies

Camera based assistive technologies can provide people with visual impairments (PVIs) visually derived information about people in their vicinity. Furthermore, the advent of smart glasses offers the possibility of not only analyzing visual information in front of the wearer, but also behind them through an extended field of view. Although such ‘visually available’ information can enhance one’s social interactions, the privacy and ethical implications for automated judgments about bystanders especially from the perspective of PVIs remains underexplored. To study the concerns of both bystanders and PVIs with such technologies, we conducted two online surveys with visually impaired participants as wearers (N=128) and sighted participants as bystanders (N=136). Although PVIs found some types of information to be improper or impolite (such as someone’s weight), our overarching finding is the shared ethical concern between PVIs and bystanders related to the fallibility of AI, where bystanders can be misrepresented (algorithmically) by the devices. These mischaracterizations can range from occasional, unexpected algorithmic errors (e.g., errors in facial recognition) to the questionable use of AI for determining subjective, social constructs (such as gender). Based on our findings, we discuss the design implications and directions for future work in the development of camera based assistive technologies while mitigating the ethical concerns of PVIs and bystanders.

Leveraging data science to enhance suicide prevention research: a literature review

OBJECTIVE

The purpose of this research is to identify how data science is applied in suicide prevention literature, describe the current landscape of this literature and highlight areas where data science may be useful for future injury prevention research.

DESIGN

We conducted a literature review of injury prevention and data science in April 2020 and January 2021 in three databases.

METHODS

For the included 99 articles, we extracted the following: (1) author(s) and year; (2) title; (3) study approach (4) reason for applying data science method; (5) data science method type; (6) study description; (7) data source and (8) focus on a disproportionately affected population.

RESULTS

Results showed the literature on data science and suicide more than doubled from 2019 to 2020, with articles with individual-level approaches more prevalent than population-level approaches. Most population-level articles applied data science methods to describe (n=10) outcomes, while most individual-level articles identified risk factors (n=27). Machine learning was the most common data science method applied in the studies (n=48). A wide array of data sources was used for suicide research, with most articles (n=45) using social media and web-based behaviour data. Eleven studies demonstrated the value of applying data science to suicide prevention literature for disproportionately affected groups.

CONCLUSION

Data science techniques proved to be effective tools in describing suicidal thoughts or behaviour, identifying individual risk factors and predicting outcomes. Future research should focus on identifying how data science can be applied in other injury-related topics.

Practices for monitoring and responding to incoming data on self-injurious thoughts and behaviors in intensive longitudinal studies: A systematic review

Advancements in the understanding and prevention of self-injurious thoughts and behaviors (SITBs) are urgently needed. Intensive longitudinal data collection methods-such as ecological momentary assessment-capture fine-grained, "real-world" information about SITBs as they occur and thus have the potential to narrow this gap. However, collecting real-time data on SITBs presents complex ethical and practical considerations, including about whether and how to monitor and respond to incoming information about SITBs from suicidal or self-injuring individuals during the study. We conducted a systematic review of protocols for monitoring and responding to incoming data in previous and ongoing intensive longitudinal studies of SITBs. Across the 61 included unique studies/samples, there was no clear most common approach to managing these ethical and safety considerations. For example, studies were fairly evenly split between either using automated notifications triggered by specific survey responses (e.g., indicating current suicide risk) or monitoring and intervening upon (generally with a phone-based risk assessment) incoming responses (36%), using both automated notifications and monitoring/intervening (35%), or neither using automated notifications nor monitoring/intervening (29%). Certain study characteristics appeared to influence the safety practices used. Future research that systematically evaluates optimal, feasible strategies for managing risk in real-time monitoring research on SITBs is needed.

Systematic review and narrative synthesis of suicide prevention in high-schools and universities: a research agenda for evidence-based practice

Background

Youth suicide prevention in high-schools and universities is a public health priority. Our aim was to propose a research agenda to advance evidence-based suicide prevention in high-schools and universities by synthesizing and critically reviewing the research focus and methodologies used in existing intervention studies.

Methods

Fourteen databases were systematically searched to identify studies which evaluate suicide prevention interventions delivered on high-school or university campuses, with before and after measures. Data from included studies (n = 43) were extracted to identify what, where, how and for whom interventions have been tested. Narrative synthesis was used to critically evaluate research focus and methodology. Study quality was assessed.

Results

Research has focused primarily on selective interventions, with less attention on indicated and universal interventions. Most evidence comes from North America and high-income countries. The target of interventions has been: non-fatal suicidal behaviour; confidence and ability of staff/students to intervene in a suicidal crisis; suicide-related knowledge and attitudes; and suicide-related stigma. No studies included suicide deaths as an outcome, evaluated eco-systemic interventions, explored how context influences implementation, used multisite study designs, or focused explicitly on LGBTQ+ youth. Two studies evaluated digital interventions. Quality of the majority of studies was compromised by lack of methodological rigour, small samples, and moderate/high risk of bias. Interventions often assume the existence of an external well-functioning referral pathway, which may not be true in low-resource settings.

Conclusion

To advance evidence-based suicide prevention in educational settings we need to: conduct more high-quality clinical and pragmatic trials; promote research in low- and middle-income countries; test targeted interventions for vulnerable populations (like LGBTQ+ youth), evaluate interventions where death by suicide is the primary outcome; include translational studies and use implementation science to promote intervention uptake; evaluate the potential use of digital and eco-systemic interventions; and conduct multisite studies in diverse cultural settings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11124-w.

Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

BACKGROUND

Uncertainty surrounds the ethical and legal implications of algorithmic and data-driven technologies in the mental health context, including technologies characterized as artificial intelligence, machine learning, deep learning, and other forms of automation.

OBJECTIVE

This study aims to survey empirical scholarly literature on the application of algorithmic and data-driven technologies in mental health initiatives to identify the legal and ethical issues that have been raised.

METHODS

We searched for peer-reviewed empirical studies on the application of algorithmic technologies in mental health care in the Scopus, Embase, and Association for Computing Machinery databases. A total of 1078 relevant peer-reviewed applied studies were identified, which were narrowed to 132 empirical research papers for review based on selection criteria. Conventional content analysis was undertaken to address our aims, and this was supplemented by a keyword-in-context analysis.

RESULTS

We grouped the findings into the following five categories of technology: social media (53/132, 40.1%), smartphones (37/132, 28%), sensing technology (20/132, 15.1%), chatbots (5/132, 3.8%), and miscellaneous (17/132, 12.9%). Most initiatives were directed toward detection and diagnosis. Most papers discussed privacy, mainly in terms of respecting the privacy of research participants. There was relatively little discussion of privacy in this context. A small number of studies discussed ethics directly (10/132, 7.6%) and indirectly (10/132, 7.6%). Legal issues were not substantively discussed in any studies, although some legal issues were discussed in passing (7/132, 5.3%), such as the rights of user subjects and privacy law compliance.

CONCLUSIONS

Ethical and legal issues tend to not be explicitly addressed in empirical studies on algorithmic and data-driven technologies in mental health initiatives. Scholars may have considered ethical or legal matters at the ethics committee or institutional review board stage. If so, this consideration seldom appears in published materials in applied research in any detail. The form itself of peer-reviewed papers that detail applied research in this field may well preclude a substantial focus on ethics and law. Regardless, we identified several concerns, including the near-complete lack of involvement of mental health service users, the scant consideration of algorithmic accountability, and the potential for overmedicalization and techno-solutionism. Most papers were published in the computer science field at the pilot or exploratory stages. Thus, these technologies could be appropriated into practice in rarely acknowledged ways, with serious legal and ethical implications.

Adaptation of evidence-based suicide prevention strategies during and after the COVID-19 pandemic

Suicide is preventable. Nevertheless, each year 800,000 people die of suicide in the world. While there is evidence indicating that suicide rates de-crease during times of crises, they are expected to increase once the immediate crisis has passed. The COVID-19 pandemic affects risk and pro-tective factors for suicide at each level of the socio-ecological model. Economic downturn, augmented barriers to accessing health care, increased access to suicidal means, inappropriate media reporting at the societal level; deprioritization of mental health and preventive activities at the community level; interpersonal conflicts, neglect and violence at the relationship level; unemployment, poverty, loneliness and hopelessness at the individual level: all these variables contribute to an increase of depression, anxiety, post-traumatic stress disorder, harmful use of alcohol, substance abuse, and ultimately suicide risk. Suicide should be prevented by strengthening universal strategies directed to the entire population, including mitigation of unemployment, poverty and inequalities; prioritization of access to mental health care; responsible media reporting, with information about available support; prevention of increased alcohol intake; and restriction of access to lethal means of suicide. Selective interventions should continue to target known vulnerable groups who are socio-economically disadvantaged, but also new ones such as first responders and health care staff, and the bereaved by COVID-19 who have been deprived of the final contact with loved ones and funerals. Indicated preventive strategies targeting individuals who display suicidal behaviour should focus on available pharmacological and psychological treatments of mental disorders, ensuring proper follow-up and chain of care by increased use of telemedicine and other digital means. The scientific community, health care professionals, politicians and decision-makers will find in this paper a systematic description of the effects of the pandemic on suicide risk at the society, community, family and individual levels, and an overview of how evidence-based suicide preventive interventions should be adapted. Research is needed to investigate which adaptations are effective and in which con-texts.