Late-life suicide in an aging world.

Suicide is an important problem among older adults and in particular older men. Risk factors for suicide in older adults include the loss of a loved one, loneliness and physical illness. Suicide in older adults is often attributed to the development of depression due to bereavement or loss of physical health and independence. However, suicide prevention in old age requires avoiding overly simplistic therapeutic approaches. This Perspective discusses the impact of social determinants of health, cultural narratives and the coronavirus disease 2019 (COVID-19) pandemic on suicide among older adults and proposes strategies for a multifaceted approach to suicide prevention.

Suicide in late life: A viewpoint.

Suicide in old age represents a sad public health concern. Despite the global decline in rates of suicide and the general amelioration of quality of life and access to health care for older adults, their rates of suicide remain the highest virtually in every part of the world. With the aging of the world population and the growing number of mononuclear families, the risk of an increase in isolation, loneliness and dependency does not appear ungrounded. The Covid-19 pandemic is claiming the life of many older persons and creating unprecedented conditions of distress, particularly for this segment of the population. This article briefly examines the main characteristics of suicidal behavior in late life, including observations deriving from the spread of the Sars-2 coronavirus and possible strategies for prevention.

Suicide numbers during the first 9-15 months of the COVID-19 pandemic compared with pre-existing trends: An interrupted time series analysis in 33 countries.

Background: Predicted increases in suicide were not generally observed in the early months of the COVID-19 pandemic. However, the picture may be changing and patterns might vary across demographic groups. We aimed to provide a timely, granular picture of the pandemic's impact on suicides globally. Methods: We identified suicide data from official public-sector sources for countries/areas-within-countries, searching websites and academic literature and contacting data custodians and authors as necessary. We sent our first data request on 22nd June 2021 and stopped collecting data on 31st October 2021. We used interrupted time series (ITS) analyses to model the association between the pandemic's emergence and total suicides and suicides by sex-, age- and sex-by-age in each country/area-within-country. We compared the observed and expected numbers of suicides in the pandemic's first nine and first 10-15 months and used meta-regression to explore sources of variation. Findings: We sourced data from 33 countries (24 high-income, six upper-middle-income, three lower-middle-income; 25 with whole-country data, 12 with data for area(s)-within-the-country, four with both). There was no evidence of greater-than-expected numbers of suicides in the majority of countries/areas-within-countries in any analysis; more commonly, there was evidence of lower-than-expected numbers. Certain sex, age and sex-by-age groups stood out as potentially concerning, but these were not consistent across countries/areas-within-countries. In the meta-regression, different patterns were not explained by countries' COVID-19 mortality rate, stringency of public health response, economic support level, or presence of a national suicide prevention strategy. Nor were they explained by countries' income level, although the meta-regression only included data from high-income and upper-middle-income countries, and there were suggestions from the ITS analyses that lower-middle-income countries fared less well. Interpretation: Although there are some countries/areas-within-countries where overall suicide numbers and numbers for certain sex- and age-based groups are greater-than-expected, these countries/areas-within-countries are in the minority. Any upward movement in suicide numbers in any place or group is concerning, and we need to remain alert to and respond to changes as the pandemic and its mental health and economic consequences continue. Funding: None.

Digital Mental Health Amid COVID-19

DefinitionDigital Mental Health is information and communication technology used in mental health services delivered or boosted through the Internet and related technologies, smartphone and wearable technologies as well as immersive solutions (e.g., Virtual Reality and video games). It is predominantly used as self-help services or with the assistance of a (para-)professional and/or artificial intelligence for the provision of mental health promotion as well as mental ill-health identification, prevention and intervention.

Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps;mostly it is used for self-help and guided cognitive behavioral therapy (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.

Feelings of Loneliness: Understanding the Risk of Suicidal Ideation in Adolescents with Internet Addiction. A Theoretical Model to Answer to a Systematic Literature Review, without Results.

The Internet has become an essential tool for adolescents. It is part of their social integration within peers and supports their identity construction. The Internet can also become a source of addiction, especially when used as a coping strategy towards unpleasant life situations. Addiction to the Internet is often linked with an increase in the feeling of loneliness. The feeling of loneliness is an emotion present during adolescence. However, in excess, it can lead to suicidal ideation. Addiction to the Internet is also linked to an increased suicide risk. We questioned ourselves on the impact of the feeling of loneliness on the link between an excessive use of the Internet by adolescents and the risks of suicidal ideation. We attempted to find an answer to this question by performing a systematic review of the literature. We found no result matching our search criteria. We noted the absence of studies with regards to the interaction between the feeling of loneliness, addiction to the Internet and the risk of suicidal ideation amongst adolescents. We established a theoretical model which could be used as a lead for future research. We insist on the importance that studies need to be conducted in this domain, in order to enable us to establish efficient preventive measures for the risks of suicidal ideation amongst adolescents.

Critical Issues of Working during the COVID-19 Pandemic: Italian Healthcare Workers' Experience.

Background: The COVID-19 pandemic has strongly impacted on healthcare services' organization and healthcare workers' mental health, increasing the risk of psychological symptoms and burnout. Italy has been one of the most affected countries, especially the northern regions, even with exceptions in some rural provinces. Aim: We chose to investigate the mental health conditions of healthcare workers operating in the rural province of Rovigo (a small town in Veneto, northern Italy), where relatively few deaths and contagions were reported during the pandemic, even if Veneto-globally-was one of the most affected regions of Italy. We wanted to verify the psychological outcomes of health workers operating in a context where the impact of the pandemic appeared to be relatively mild. Methods: Through an online survey, we investigated perceived difficulties at work and in daily life, perceived loneliness and social support, coping strategies, and level of psychological distress (sample size: 749; mean age = 48.04 years, SD = 10.66). The questionnaire had both open- (2) and close-ended questions (5 single-choice and 13 multiple-choice). We verified possible associations between sex, age group, work department and percentage of responses with chi-square tests of independence on each question. Data cleaning excluded all contradictory answers from the multiple-choice questions from the analyses (final sample size: 640). Results: Frontliners and non-frontliners reported a similar experience of the COVID-19 pandemic (without significant differences in perceived difficulties, coping strategies and sources of support). Nevertheless, they still reported various forms of negative emotions (e.g., helplessness-40.94%; sadness-36.56%; frustration-32.66%) and lack of support from the health organization (especially frontliners-28.72%). However, psychological help was scarcely requested. Conclusions: Despite the province not being massively affected by the pandemic, healthcare workers felt the need for clearer and more supportive guidance. They seem to perceive collective opportunities to share needs and difficulties as more useful than individual interventions (as those provided by the ad hoc created listening service).

Caring for Caregivers: Italian Health Care Workers' Needs during the COVID-19 Pandemic.

Aim: An online survey was proposed to the health workers of a public hospital of an Italian northern city. This was done with the aim of assessing the unmet needs of a special population under strain (the health carers) due to the fight against the coronavirus disease 19 (COVID-19). Results: By answering the survey, five hundred and nine people provided their observations, complaints and suggestions. This qualitative material was organised into three main areas: (1) relationship with the health organization management; (2) needs of the health workers; and (3) perceived consequences of the pandemic. Discussion: Overall, respondents expressed dissatisfaction for the unpreparedness of their health units and the confusion created by frequent changes in operational guidelines. Many participants felt abandoned, unheard and unprotected by the health organization, whilst the psychological support service formally set up by the hospital for its health workers was grossly under-utilised. Instead, support from colleagues and family constituted the main protective factor to counteract negative emotions. Restrictions in social contacts and recreational opportunities were frequently mentioned. Several respondents reported a sense of pride for their work and commitment; many others saw in the pandemic an opportunity for personal growth and better focus on important life values, like family and solidarity.

Suicide in French Polynesia: a retrospective analysis based on medicolegal documents and interview with family.

OBJECTIVE: To analyse the epidemiological data on suicide in French Polynesia (FP). METHODS: Data on suicides were collected from the Public Health Direction, Judicial Police Investigations Court of Justice records, the Centre d'Opérations et de Renseignements de la Gendarmerie, patient records for those hospitalized in psychiatry and from psychological autopsies. RESULTS: The dataset consisted of 316 suicide cases in FP over 25 years (1992-2016). In FP, suicide was more frequent in men (sex ratio 3.2:1), young people (mean age, 34.4 years) and individuals with previously diagnosed psychiatric disorders (100 of 316; 31.6%) The most common method of suicide was hanging (276 of 316; 87.3%). A history of previous suicide attempts was found in 25 of 56 (44.6%) of suicide cases, when documented. The most common potential triggering factors for suicide were emotional problems. The suicide rates have remained stable during 1992-2016 (mean 10.6/100 000 inhabitants per year), with periods of economic crises increasing suicide rates. CONCLUSIONS: These results provide valuable information to enable the effective targeting of suicide prevention strategies toward those at high risk. Economic crises had larger impacts in the French overseas territories than mainland France. Given the unprecedented economic impact of the Covid-19 pandemic in FP, there is an urgent need to implement suicide epidemiological surveillance and prevention programmes.

Suicide prevention in older adults.

BACKGROUND: Suicide among older adults is a multifactorial problem with several interrelated factors involved that vary with age, gender and culture. The number of suicides is highest in those aged 70 years or older in almost all regions of the world. With the increase in life expectancy, and the decrease in mortality due to other causes of death, we could expect the absolute number of older adults' suicide continue increasing. METHODS: Review of the literature on suicide protective factors of suicide among older adults. RESULTS: Improvements on social determinants of health and the timely detection and early treatment of affective disorders are key interventions. Prevention based on community actions and training of gatekeepers may have positive impact. Community programs that promote a sense of usefulness, belonging and that contribute to preserve social integration should be encouraged. Governments should develop the improvement of retirement programs and the development of support systems. The access to general health and mental health services should be facilitated and Primary Care professionals should receive proper training to detect and manage older persons at risk. Actively promoting a culture of coping to different stages of life and to the changes imposed by the advancing of age should form the essential part of a process bringing to better successful aging avenues. CONCLUSIONS: Suicide prevention in older adults should broaden its focus and pay attention to the many socio-environmental conditions that may be relevant in older age, especially social isolation, financial security and physical health.

Digital Mental Health Challenges and the Horizon Ahead for Solutions.

The demand outstripping supply of mental health resources during the COVID-19 pandemic presents opportunities for digital technology tools to fill this new gap and, in the process, demonstrate capabilities to increase their effectiveness and efficiency. However, technology-enabled services have faced challenges in being sustainably implemented despite showing promising outcomes in efficacy trials since the early 2000s. The ongoing failure of these implementations has been addressed in reconceptualized models and frameworks, along with various efforts to branch out among disparate developers and clinical researchers to provide them with a key for furthering evaluative research. However, the limitations of traditional research methods in dealing with the complexities of mental health care warrant a diversified approach. The crux of the challenges of digital mental health implementation is the efficacy and evaluation of existing studies. Web-based interventions are increasingly used during the pandemic, allowing for affordable access to psychological therapies. However, a lagging infrastructure and skill base has limited the application of digital solutions in mental health care. Methodologies need to be converged owing to the rapid development of digital technologies that have outpaced the evaluation of rigorous digital mental health interventions and strategies to prevent mental illness. The functions and implications of human-computer interaction require a better understanding to overcome engagement barriers, especially with predictive technologies. Explainable artificial intelligence is being incorporated into digital mental health implementation to obtain positive and responsible outcomes. Investment in digital platforms and associated apps for real-time screening, tracking, and treatment offer the promise of cost-effectiveness in vulnerable populations. Although machine learning has been limited by study conduct and reporting methods, the increasing use of unstructured data has strengthened its potential. Early evidence suggests that the advantages outweigh the disadvantages of incrementing such technology. The limitations of an evidence-based approach require better integration of decision support tools to guide policymakers with digital mental health implementation. There is a complex range of issues with effectiveness, equity, access, and ethics (eg, privacy, confidentiality, fairness, transparency, reproducibility, and accountability), which warrant resolution. Evidence-informed policies, development of eminent digital products and services, and skills to use and maintain these solutions are required. Studies need to focus on developing digital platforms with explainable artificial intelligence-based apps to enhance resilience and guide the treatment decisions of mental health practitioners. Investments in digital mental health should ensure their safety and workability. End users should encourage the use of innovative methods to encourage developers to effectively evaluate their products and services and to render them a worthwhile investment. Technology-enabled services in a hybrid model of care are most likely to be effective (eg, specialists using these services among vulnerable, at-risk populations but not severe cases of mental ill health).

"Real-time suicide mortality data from police reports in Queensland, Australia, during the COVID-19 pandemic: An interrupted time-series analysis": Correction

Reports an error in "Real-time suicide mortality data from police reports in Queensland, Australia, during the COVID-19 pandemic: An interrupted time-series analysis" by Stuart Leske, Kairi Kolves, David Crompton, Ella Arensman and Diego de Leo (The Lancet Psychiatry, 2021[Jan], Vol 8[1], 58-63). In the original article, there were some errors in the Summary. The updated Summary is provided. (The following abstract of the original article appeared in record 2021-00076-024). Background: Deaths by suicide can increase during infectious disease outbreaks. This study analysed suspected suicide rates in 2020 relative to 2015-19 to assess any early effects of the COVID-19 pandemic in Queensland, Australia. Methods: We analysed data from the interim Queensland Suicide Register (iQSR), a state-wide real-time suicide surveillance system, using an interrupted time-series design. The data source for the iQSR is the Form 1 police report of a death to a coroner. Two QSR staff independently classed the probability of a death by suicide as possible, probable, or beyond reasonable doubt. The analysis included the probable or beyond reasonable doubt categories as suspected suicides. The primary outcome was the monthly suspected suicide rate. We applied Poisson and negative binomial regressions to assess whether Queensland's Public Health Emergency Declaration on Jan 29, 2020, affected suspected suicides from Feb 1 to Aug 31, 2020. Secondary outcomes included absolute or relative changes in police-reported motives of recent unemployment, financial problems, domestic violence, and relationship breakdown. Findings: 3793 suspected suicides were recorded with an unadjusted monthly rate of 14.85 deaths per 100 000 people (from Jan 1, 2015, to Jan 31, 2020) before the declaration, and 443 suspected suicides were recorded with an unadjusted monthly rate of 14.07 deaths per 100 000 people (Feb 1, 2020, onwards) after the declaration. An interrupted time-series Poisson regression model unadjusted (rate ratio [RR] 0.94, 95% CI 0.82-1.06) and adjusted for overdispersion, seasonality, and pre-exposure trends (RR 1.02, 95% CI 0.83-1.25) indicated no evidence of a change in suspected suicide rates. We found no absolute or relative increases in the motives for suspected suicides, including recent unemployment, financial problems, relationship breakdown, or domestic violence from February to August, 2020, compared with the pre-exposure period. Interpretation: There does not yet appear to be an overall change in the suspected suicide rate in the 7 months since Queensland declared a public health emergency. Despite this, COVID-19 has contributed to some suspected suicides in Queensland. Ongoing community spread and increasing death rates of COVID-19, and its impact on national economies and mental health, reinforces the need for governments to maintain the monitoring and reporting of suicide mortality in real time. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review.

BACKGROUND: There is a persistent need for mental ill-health prevention and intervention among at-risk and vulnerable subpopulations. Major disruptions to life, such as the COVID-19 pandemic, present an opportunity for a better understanding of the experience of stressors and vulnerability. Faster and better ways of psychological screening and tracking are more generally required in response to the increased demand upon mental health care services. The argument that mental and physical health should be considered together as part of a biopsychosocial approach is garnering acceptance in elite athlete literature. However, the sporting population are unique in that there is an existing stigma of mental health, an underrecognition of mental ill-health, and engagement difficulties that have hindered research, prevention, and intervention efforts. OBJECTIVE: The aims of this paper are to summarize and evaluate the literature on athletes' increased vulnerability to mental ill-health and digital mental health solutions as a complement to prevention and intervention, and to show relationships between athlete mental health problems and resilience as well as digital mental health screening and tracking, and faster and better treatment algorithms. METHODS: This mini review shapes literature in the fields of athlete mental health and digital mental health by summarizing and evaluating journal and review articles drawn from PubMed Central and the Directory of Open Access Journals. RESULTS: Consensus statements and systematic reviews indicated that elite athletes have comparable rates of mental ill-health prevalence to the general population. However, peculiar subgroups require disentangling. Innovative expansion of data collection and analytics is required to respond to engagement issues and advance research and treatment programs in the process. Digital platforms, machine learning, deep learning, and artificial intelligence are useful for mental health screening and tracking in various subpopulations. It is necessary to determine appropriate conditions for algorithms for use in recommendations. Partnered with real-time automation and machine learning models, valid and reliable behavior sensing, digital mental health screening, and tracking tools have the potential to drive a consolidated, measurable, and balanced risk assessment and management strategy for the prevention and intervention of the sequelae of mental ill-health. CONCLUSIONS: Athletes are an at-risk subpopulation for mental health problems. However, a subgroup of high-level athletes displayed a resilience that helped them to positively adjust after a period of overwhelming stress. Further consideration of stress and adjustments in brief screening tools is recommended to validate this finding. There is an unrealized potential for broadening the scope of mental health, especially symptom and disorder interpretation. Digital platforms for psychological screening and tracking have been widely used among general populations, but there is yet to be an eminent athlete version. Sports in combination with mental health education should address the barriers to help-seeking by increasing awareness, from mental ill-health to positive functioning. A hybrid model of care is recommended, combining traditional face-to-face approaches along with innovative and evaluated digital technologies, that may be used in prevention and early intervention strategies.

Real-time suicide mortality data from police reports in Queensland, Australia, during the COVID-19 pandemic: an interrupted time-series analysis.

BACKGROUND: Deaths by suicide can increase during infectious disease outbreaks. This study analysed suspected suicide rates in 2020 relative to 2015-19 to assess any early effects of the COVID-19 pandemic in Queensland, Australia. METHODS: We analysed data from the interim Queensland Suicide Register (iQSR), a state-wide real-time suicide surveillance system, using an interrupted time-series design. The data source for the iQSR is the Form 1 police report of a death to a coroner. Two QSR staff independently classed the probability of a death by suicide as possible, probable, or beyond reasonable doubt. The analysis included the probable or beyond reasonable doubt categories as suspected suicides. The primary outcome was the monthly suspected suicide rate. We applied Poisson and negative binomial regressions to assess whether Queensland's Public Health Emergency Declaration on Jan 29, 2020, affected suspected suicides from Feb 1 to Aug 31, 2020. Secondary outcomes included absolute or relative changes in police-reported motives of recent unemployment, financial problems, domestic violence, and relationship breakdown. FINDINGS: 3793 suspected suicides were recorded with an unadjusted monthly rate of 14·85 deaths per 100 000 people (from Jan 1, 2015, to Jan 31, 2020) before the declaration, and 443 suspected suicides were recorded with an unadjusted monthly rate of 14·07 deaths per 100 000 people (Feb 1, 2020, onwards) after the declaration. An interrupted time-series Poisson regression model unadjusted (rate ratio [RR] 0·94, 95% CI 0·82-1·06) and adjusted for overdispersion, seasonality, and pre-exposure trends (RR 1·02, 95% CI 0·83-1·25) indicated no evidence of a change in suspected suicide rates. We found no absolute or relative increases in the motives for suspected suicides, including recent unemployment, financial problems, relationship breakdown, or domestic violence from February to August, 2020, compared with the pre-exposure period. INTERPRETATION: There does not yet appear to be an overall change in the suspected suicide rate in the 7 months since Queensland declared a public health emergency. Despite this, COVID-19 has contributed to some suspected suicides in Queensland. Ongoing community spread and increasing death rates of COVID-19, and its impact on national economies and mental health, reinforces the need for governments to maintain the monitoring and reporting of suicide mortality in real time. FUNDING: None.

An Integrated Blueprint for Digital Mental Health Services Amidst COVID-19.

In-person traditional approaches to mental health care services are facing difficulties amidst the coronavirus disease (COVID-19) crisis. The recent implementation of social distancing has redirected attention to nontraditional mental health care delivery to overcome hindrances to essential services. Telehealth has been established for several decades but has only been able to play a small role in health service delivery. Mobile and teledigital health solutions for mental health are well poised to respond to the upsurge in COVID-19 cases. Screening and tracking with real-time automation and machine learning are useful for both assisting psychological first-aid resources and targeting interventions. However, rigorous evaluation of these new opportunities is needed in terms of quality of interventions, effectiveness, and confidentiality. Service delivery could be broadened to include trained, unlicensed professionals, who may help health care services in delivering evidence-based strategies. Digital mental health services emerged during the pandemic as complementary ways of assisting community members with stress and transitioning to new ways of living and working. As part of a hybrid model of care, technologies (mobile and online platforms) require consolidated and consistent guidelines as well as consensus, expert, and position statements on the screening and tracking (with real-time automation and machine learning) of mental health in general populations as well as considerations and initiatives for underserved and vulnerable subpopulations.

COVID-19 and the Fears of Italian Senior Citizens.

Italy has been hit very hard by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic. This brief report highlights some of the peculiarities manifested by its older adult population, with particular reference to those living in nursing institutions and at home. Mortality data (as of 26 April) are reported, together with reactions to forced isolation, loneliness, and fear of contracting the disease, which represent big challenges for all, especially for frail elderly people.