Matthew J Spittal’s research while affiliated with University of Melbourne and other places

Background In Australia and internationally, it is men who predominately die by suicide. Men are less likely than women to seek help for their mental health difficulties and this may contribute to their higher suicide rates. We created a 4-minute music video encouraging Australian men to seek help for mental health difficulties (Boys Do Cry). We aimed to assess in a randomised controlled trial (RCT) whether the Boys Do Cry video increased men’s intentions to seek help for mental health difficulties from baseline (T1) to post-intervention (1 week = T2). Methods We conducted an online single-blind, two-arm RCT comparing the effects of Boys Do Cry against a control video. Analyses were undertaken on an intent-to-treat basis using linear mixed effects models with variables for trial arm, occasion of measurement and their interaction. Intervention effectiveness was assessed by comparing the mean difference between arms in change of the total score on the General Help-Seeking Questionnaire (GHSQ) from T1 to T2. Results 476 participants were randomised (intervention = 243; control = 233). At T1, GHSQ means were similar (intervention = 45.28; control = 45.70). After viewing the videos, GHSQ means increased in both arms (intervention = 47.33; control = 46.59), with no evidence of a difference in scores at T2 (modelled mean difference = 0.62, 95% CI -1.11 to 2.35, p = 0.485). Similar results were observed for all secondary outcomes. No adverse events were observed. Conclusions Boys Do Cry demonstrated some evidence of a positive effect on help-seeking intentions among Australian men; however, so too did the control video, and no significant difference was observed. Trial registration ANZCTR No. 2,621,001,008,819. Registered 30 July 2021.

Aims Restricting access to means by installing physical barriers has been shown to be the most effective intervention in preventing jumping suicides on bridges. However, little is known about the effectiveness of partial restriction with interventions that still allow jumping from the bridge. Methods This study used a quasi-experimental design. Public sites that met our inclusion criteria were identified using Google search and data on jumping suicides on Bridge A (South Korea), Bridges B and C (the United States) and Bridge D (Canada) were obtained from the relevant datasets. Incidence rate ratios (IRRs) were estimated using Poisson regressions comparing suicide numbers before and after the installation of physical structures at each site. Results Fences with sensor wires and spinning handrails installed above existing railings on the Bridge A, and fences at each side of the entrances and the midpoint of main suspension cables on the Bridge D were associated with significant reductions in suicides (IRR 0.37, 95% Confidence Interval (CI) 0.26 − 0.54; 0.26, 95% CI 0.09 − 0.76). Installation of bird spike on the parapet on the Bridge B, and fences at the front of seating alcoves on the Bridge C were not associated with changes in suicides (1.21, 95% CI 0.88 − 1.68; 1.49, 95% CI 0.56 − 3.98). Conclusions Partial means restriction (such as fences with sensor wires and spinning bars at the top, and partial fencing at selected points) on bridges appears to be helpful in preventing suicide. Although these interventions are unlikely to be as effective as interventions that fully secure the bridge and completely prevent jumping, they might best be thought of as temporary solutions before more complete or permanent structures are implemented.

Objectives and ApproachSurvey data suggests that children of incarcerated mothers are exposed to a range of risk factors that can have negative impacts on life-course outcomes. This retrospective cohort study uses a population sample to describe the extent and mix of risk factors to which children of incarcerated mothers are exposed. Administrative data from health, justice, child protective services, births, and deaths were merged for 9,380 children exposed to maternal incarceration and an unexposed comparison group of 22,716 children. Risk ratios and 95% confidence intervals were calculated for birth complications and adverse childhood experiences (ACEs) for children exposed to maternal incarceration compared to those not exposed, adjusted for sociodemographic risk factors. A multiple risk score summed the number of recorded risk factors (0-17) for children with and without maternal incarceration exposure. ResultsCompared to unexposed children, children of incarcerated mothers had a higher risk of preterm birth, low birthweight, and all ACEs, including a 15-times (95%CI 14.2, 16.3) higher risk of exposure to maternal substance use disorders and 18-times (95%CI 16.8, 20.7) higher risk of placement in out-of-home care. Only 1% of children of incarcerated mothers did not experience any of the included risk factors, compared to 26% of unexposed children (p<0.001). Conclusions Children of incarcerated mothers disproportionately experience multiple risks, especially maltreatment, placement in out-of-home care, and maternal substance use. ImplicationsThere is a significant public health opportunity to identify and address the needs of children of incarcerated mothers at the points of maternal arrest, sentencing, and incarceration.

Background: Real-time suicide registers are being established in many countries and enable regular monitoring of suspected suicides over time. The use of these data to monitor for suicide clusters is in its infancy. Aims: We sought to test the feasibility of using real-time suicide register data to detect spatiotemporal suicide clusters. Method: Using the Victorian Suicide Register and SaTScan’s spatiotemporal scan statistic, we simulated a monthly search for clusters from January 2015 to June 2022 using rolling 2-year windows of data in each search. Monthly scans were performed at three different levels of geographic granularity and for all-ages and under-25 populations. Results: Our results indicated the rapid identification of possible suicide clusters and demonstrated a practical approach to combining real-time suicide data and scanning algorithms. We developed new model outputs that showed cluster timelines. Limitations: The main limitations are that the computational burden of fitting multiple models meant we were unable to scan for ellipses and other irregular shapes and we were unable to consider space–time permutation models. Conclusions: Using data from a real-time suicide register, we were able to scan for space–time suicide clusters simulating the situation where the data are updated monthly with new updates.

Background Suicide rates have been increasing in Australia since the mid-2000s, especially for women aged ≤25 years. We conducted an age-period-cohort study to investigate these recent trends in the context of historical Australian suicide rates. Methods Data on annual suicides in Australia from 1907 to 2020 were extracted from the General Record of Incidence of Mortality. We modelled age-specific effects for a reference cohort, after adjustment for period effects. Findings We found evidence of age, cohort and period effects. For males, compared to the cohort born in 1946–1950, rates were higher for all cohorts born after this year. The period effect showed peaks in the risk of male suicide in the mid 1960s and the early 1990s, followed by a decline in risk until early 2010, after which the risk began to rise again. For females, compared to the cohort born in 1946–1950, the risk of suicide was higher for all cohorts born after this, with the highest risk for those born in 2006–2010. The period effect for females showed an elevated risk of suicide in the mid 1960s followed by a sharp decline, and an increase in risk after 2009. Interpretation Suicide rates in Australia have fluctuated substantially over time and appear to be related to age trends as well as period and cohort trends. Advocacy and policy making tends to focus on contemporaneous changes in suicide rates. However, this study shows that focusing only on year-on-year changes in suicide rates ignores underlying trends for specific population birth-cohorts. Funding None.

Purpose To investigate whether two novel interventions on a bridge – a Video Incident Detection System (VIDS) and spinning bar barriers – have an impact on suicidal behaviour on the bridge. Methods A total of 146 suicidal acts were retrieved for analyses; 108 interventions before suicidal acts, 35 suicide deaths and 3 suicide attempts. Incident rate ratios (IRR) were calculated to estimate the change in incident rate associated with implementation of the two interventions: VIDS and the spinning bar 2-metre high barrier. Results The results of the Poisson regression showed that the rate of suicide deaths, after installation the VIDS, did not change significantly (IRR: 1.23, 95% Confidence Interval [95% CI]: 0.59–2.56), although the rate of intervened suicidal acts increased (IRR: 2.40, 95% CI: 1.65–3.47). The results showed that subsequent spinning bar installation resulted in a decrease in the incident rate of intervened suicidal acts (IRR: 0.37, 95% CI: 0.25–0.57) as well as suicide deaths (IRR: 0.23, 95% CI: 0.07–0.71). Comparison of the period when both interventions were in place with the period with no interventions indicated a reduction in suicide deaths (IRR: 0.28, 95% CI: 0.10–0.82), but no change in intervened suicidal acts (IRR: 0.90, 95% CI: 0.59–1.38). Conclusion The rate of suicide death decreased after the installation of the spinning bar barrier but not after the implementation of VIDS alone. Our findings reinforce that restricting access to means is a highly effective way of preventing suicide on bridges and that spinning bars may be a helpful way to design barriers.

Importance Although several interventions have been shown to be effective in preventing suicide at high-risk locations, the potential for these interventions to be deployed is limited by a lack of knowledge about where high-risk locations are and the factors associated with choosing these locations. Objective To identify high-risk suicide locations in Australia and the factors associated with choosing these locations. Design, Setting, and Participants This case-control study included data on individuals who died by suicide in Australia between January 2001 and December 2017, obtained from the National Coronial Information System. Data analysis was conducted from February to December 2021. Exposures Sociodemographic, residential, incident time, and incident location variables. Main Outcomes and Measures The scan statistic was used to detect spatial clusters of suicides in public locations. Suicide locations within significant clusters with at least 0.5 suicides per year were defined as high-risk locations. Multivariable logistic regression analyses were performed to examine the factors associated with choosing a high-risk location. Results Over the study period, 10 701 suicides took place in public places. The individuals who died of suicide in public places included 8602 (80.4%) male individuals, and most were aged 25 to 49 years (5825 [54.5%]). A total of 17 high-risk suicide locations in Australia were detected. These involved 495 suicides, which accounted for 4.6% of suicides in public locations. For suicides at high-risk locations, 82.2% (407 of 495) occurred at cliffs and bridges. Being female (adjusted odds ratio [aOR], 1.73; 95% CI, 1.41-2.13), employed (aOR, 1.57; 95% CI, 1.20-2.04), never married (aOR, 1.64; 95% CI, 1.26-2.13), and from a major city (aOR, 3.94; 95% CI, 2.94-5.28) were associated with the choice of a high- over low-risk suicide location. High-risk locations tended to be in major cities. Conclusions and Relevance This case-control study found 17 high-risk suicide locations in Australia and the factors associated with the choice of these locations. Actions should be taken to prevent suicide at these locations where possible.

Evaluations of interventions targeting the population level are an essential component of the policy development cycle. Pre–post designs are widespread in suicide prevention research but have several significant limitations. To inform future evaluations, our aim is to explore the three most frequently used approaches for assessing the association between population-level interventions or exposures and suicide – the pre–post design, the difference-in-difference design, and Poisson regression approaches. The pre–post design and the difference-in-difference design will only produce unbiased estimates of an association if there are no underlying time trends in the data and there is no additional confounding from other sources. Poisson regression approaches with covariates for time can control for underlying time trends as well as the effects of other confounding factors. Our recommendation is that the default position should be to model the effects of population-level interventions or exposures using regression methods that account for time effects. The other designs should be seen as fall-back positions when insufficient data are available to use methods that control for time effects.

Workers’ compensation systems aim to financially support injured workers. However, seeking compensation often leads to poorer physical and mental health outcomes. This review examines previous studies to investigate the relationship between workers’ compensation and mental health and self-harm outcomes. A three-tiered search strategy across five databases identified studies that examined workers’ compensation claims as an exposure or risk factor, with outcomes related to mental health, self-harm and suicidality. Nine full-text studies were included; however, heterogeneity limited generalizability. Most studies supported an association between pursuing compensation and poorer mental health and self-harm outcomes. Some studies attributed this to specific aspects of the system such as justice perception and navigation of the claims system. Findings suggest an association between workers’ compensation and mental health or self-harm outcomes. Inconclusive findings highlight the need for further research. Understanding the psychiatric impacts of pursuing compensation is crucial to help formulate a more accessible compensation system.