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Social media may play a role in the "contagion" mechanism thought to underpin suicide clusters. Our pilot case-control study presented a novel methodological approach to examining whether Facebook activity following cluster and non-cluster suicides differed. We used a scan statistic to identify suicide cluster cases occurring in spatiotemporal clusters and matched each case to 10 non-cluster control suicides. We identified the Facebook accounts of 3/48 cluster cases and 20/480 non-cluster controls and their respective friends-lists and retrieved 48 posthumous posts and replies (text segments) referring to the deceased for the former and 606 for the latter. We examined text segments for "putatively harmful" and "putatively protective" content (e.g., discussion of the suicide method vs. messages discouraging suicidal acts). We also used concept mapping, word-emotion association, and sentiment analysis and gauged user reactions to posts using the reactions-to-posts ratio. We found no "putatively harmful" or "putatively protective" content following any suicides. However, "family" and "son" concepts were more common for cluster cases and "xx", "sorry" and "loss" concepts were more common for non-cluster controls, and there were twice as many surprise- and disgust-associated words for cluster cases. Posts pertaining to non-cluster controls were four times as receptive as those about cluster cases. We hope that the approach we have presented may help to guide future research to explain suicide clusters and social-media contagion.

Suicide and self-harm clusters exist in various forms, including point, mass, and echo clusters. The early identification of clusters is important to mitigate contagion and allocate timely interventions. A systematic review was conducted to synthesize existing evidence of quantitative analyses of suicide and self-harm clusters. Electronic databases including Medline, Embase, Web of Science, and Scopus were searched from date of inception to December 2020 for studies that statistically analyzed the presence of suicide or self-harm clusters. Extracted data were narratively synthesized due to heterogeneity among the statistical methods applied. Of 7268 identified studies, 79 were eligible for narrative synthesis. Most studies quantitatively verified the presence of suicide and self-harm clusters based on the scale of the data and type of cluster. A Poisson-based scan statistical model was found to be effective in accurately detecting point and echo clusters. Mass clusters are typically detected by a time-series regression model, although limitations exist. Recently, the statistical analysis of suicide and self-harm clusters has progressed due to advances in quantitative methods and geospatial analytical techniques, most notably spatial scanning software. The application of such techniques to real-time surveillance data could effectively detect emerging clusters and provide timely intervention.

Community coalitions have been recognised as an important vehicle to advance health promotion and address relevant local health issues in communities, yet little is known about their effectiveness in the field of suicide prevention. The Wesley Lifeforce Suicide Prevention Networks program consists of a national cohort of local community-led suicide prevention networks. This study drew on a nationally representative survey and the perspectives of coordinators of these networks to identify the key factors underpinning positive perceived network member and community outcomes. Survey data were analysed through descriptive statistics and linear regression analyses. Networks typically reported better outcomes for network members and communities if they had been in existence for longer, had a focus on the general community, and had conducted more network meetings and internal processes, as well as specific community-focused activities. Study findings strengthen the evidence base for effective network operations and lend further support to the merit of community coalitions in the field of suicide prevention, with implications for similar initiatives, policymakers, and wider sector stakeholders seeking to address suicide prevention issues at a local community level.

Workplace bullying adversely affects mental health, yet little is known about the outcomes for suicidal ideation. The current study used Australian population-based data to investigate the association between workplace bullying and suicidal ideation. The sample included 1488 employed participants aged 52–58 from wave 4 of the Personality and Total Health (PATH) Through Life Study. Workplace bullying was measured in two ways: (a) a single item asked about experiences of bullying ‘currently’, ‘previously in the current workplace’ and ‘in a past workplace’, and (b) 15 items asked about bullying behaviours experienced in the past 6 months. Suicidal ideation was measured using items from the Psychiatric Symptom Frequency Scale (PSF) and the Patient Health Questionnaire-9 (PHQ-9). Psychosocial job quality, both current and prior, was adjusted for. Current and past experiences of workplace bullying were associated with increased risk of suicidal ideation. Current experiences were no longer associated after adjusting for concurrent indicators of psychosocial job stress, although a tendency for increased ideation remained. Reported prior experience of workplace bullying in a past workplace remained associated with higher odds of suicidal ideation after adjusting for prior psychosocial job stressors and excluding individuals with prior suicidal ideation. Being bullied at work is associated with increased risk of suicidal thoughts, although this occurs within the broader influence of other psychologically stressful employment conditions.

A number of studies have demonstrated elevated risk of suicide in certain occupational groups. We seek to understand a possible new risk factor: suicide contagion, as demonstrated through a suicide cluster analysis. National-level coronial data and census population data were used for the study. We calculated suicide rates to identify "risky" occupations. SaTScan v9.4.1 was used to perform Poisson discrete scan statistic. Suicides occurring in arts and media professionals, construction, manufacturing, and skilled animal and horticultural workers seemed to cluster in time and/or space. Those working in construction settings were at risk of being in both time and space clusters.

AIMS: There is currently no gold-standard definition or method for identifying suicide clusters, resulting in considerable heterogeneity in the types of suicide clusters that are detected. This study sought to identify the characteristics, mechanisms and parameters of suicide clusters using three cluster detection methods. Specifically, the study aimed to: (1) determine the overlap in suicide clusters among each method, (2) compare the spatial and temporal parameters associated with different suicide clusters and (3) identify the demographic characteristics and rates of exposure to suicide among cluster and non-cluster members. METHODS: Suicide data were obtained from the National Coronial Information System. N = 3027 Australians, aged 10-24 who died by suicide in 2006-2015 were included. Suicide clusters were determined using: (1) poisson scan statistics, (2) a systematic search of coronial inquests and (3) descriptive network analysis. These methods were chosen to operationalise three different definitions of suicide clusters, namely clusters that are: (1) statistically significant, (2) perceived to be significant and (3) characterised by social links among three or more suicide descendants. For each method, the demographic characteristics and rates of exposure to suicide were identified, in addition to the maximum duration of suicide clusters, the geospatial overlap between suicide clusters, and the overlap of individual cluster members. RESULTS: Eight suicide clusters (69 suicides) were identified from the scan statistic, seven (40 suicides) from coronial inquests; and 11 (37 suicides) from the descriptive network analysis. Of the eight clusters detected using the scan statistic, two overlapped with clusters detected using the descriptive network analysis and one with clusters identified from coronial inquests. Of the seven clusters from coronial inquests, four overlapped with clusters from the descriptive network analysis and one with clusters from the scan sta

Background: Mental health support and interventions are increasingly delivered on the web, and stepped care systems of mental health services are embracing the notion of a digital gateway through which individuals can have access to information, assessment, and services and can be connected with more intensive services if needed. Although concerns have been raised over whether people with mental health problems are disadvantaged in terms of their access to the internet, there is a lack of representative data on this topic. Objective: This study aimed to examine the relationship between mental health and internet access, particularly lack of access because of affordability issues. Methods: Data from wave 14 of the Household, Income, and Labour Dynamics in Australia survey were used (n=15,596) in the analyses. Sample weights available in the survey were used to calculate the proportion of those with or without internet access for those with and without mental health problems and more severe long-term mental health conditions. These proportions were also calculated for those with and without internet access due, specifically, to affordability issues. Multinomial logistic regression analyses assessed the relationship between mental health status and internet access/affordability issues, adjusting for a range of covariates. Results: Access to the internet was poorer for those with mental health problems (87.8%) than those without mental health problems (92.2%), and the difference was greater when a measure of more severe mental health conditions was used (81.3% vs 92.2%). The regression models showed that even after adjusting for a broad range of covariates, people with mental ill health were significantly more likely to have no internet access because of unaffordability than those without mental ill health (mental health problems: relative risk ratio [RRR] 1.68; 95% CI 1.11-2.53 and severe mental health conditions: RRR 1.92; 95% CI 1.16-3.19). Conclusions: As Australia

Migrant workers may experience higher burdens of occupational injury and illness compared to native-born workers, which may be due to the differential exposure to occupational hazards, differential vulnerability to exposure-associated health impacts, or both. This study aims to assess if the relationships between psychosocial job characteristics and mental health vary by migrant status in Australia (differential vulnerability). A total of 8969 persons from wave 14 (2014-2015) of the Household Income and Labour Dynamics in Australia Survey were included in the analysis. Psychosocial job characteristics included skill discretion, decision authority and job insecurity. Mental health was assessed via a Mental Health Inventory-5 score (MHI-5), with a higher score indicating better mental health. Migrant status was defined by (i) country of birth (COB), (ii) the combination of COB and English/Non-English dominant language of COB and (iii) the combination of COB and years since arrival in Australia. Data were analysed using linear regression, adjusting for gender, age and educational attainment. Migrant status was analysed as an effect modifier of the relationships between psychosocial job characteristics and mental health. Skill discretion and decision authority were positively associated with the MHI-5 score while job insecurity was negatively associated with the MHI-5 score. We found no statistical evidence of migrant status acting as an effect modifier of the psychosocial job characteristic-MHI-5 relationships. With respect to psychosocial job characteristic-mental health relationships, these results suggest that differential exposure to job stressors is a more important mechanism than differential vulnerability for generating occupational health inequities between migrants and native-born workers in Australia.

OBJECTIVE: In the United States, there was an increase in calls to helplines following media reporting of Robin Williams' suicide. We aimed to determine whether this was the case in Australia. METHOD: The helpline services Lifeline and Beyond Blue provided us with weekly data on calls received for 2013-2015. We conducted interrupted time series regression analyses to determine whether there was an increase in the average weekly number of calls received by each helpline in two periods after the story about Williams' suicide broke (1 week and 4 weeks). RESULTS: We found strong evidence of an increase in calls to Lifeline (incidence rate ratio [IRR] =1.13; 95% confidence interval [CI] =1.02-1.25; p = 0.016) and Beyond Blue (IRR = 1.32; 95% CI = 1.09-1.59; p = 0.004) in the week after Williams' suicide was first reported. We found no evidence of higher than normal call volumes for Lifeline (IRR = 1.04; 95% CI = 0.99-1.10; p = 0.104) or Beyond Blue (IRR = 1.10; 95% CI = 1.00-1.22; p = 0.058) over the four weeks following Williams' death, however, suggesting that calls leveled out over this period. CONCLUSION: Suicide prevention experts and media professionals must work together to minimize the negative impacts of reports on suicide and maximize their positive ones. In cases where the story is likely to receive extensive international coverage, it may be important for local media to encourage help-seeking.

Suicide is a significant concern for the Australian population, claiming the lives of 3128 men and women in 2017. Wesley Mission, through its Wesley LifeForce Suicide Prevention Networks program (Wesley LifeForce program) has been working with the community to support the development of local community suicide prevention networks since 2007. Wesley Mission defines a network as ‘A union of people and organisations, working together to change the outcome relating to a specific problem.’ Networks are further described as being community based and as being ‘for the people, by the people’. In this report, we refer to this notion as ‘community led’. While the aims and objectives of each network vary, reflecting the unique identity of each community, there is a common thread: a focus on interagency cooperation and raising community awareness. Wesley LifeForce network functions typically include activities that seek to: • identify and bring together community participants with an interest or responsibility in suicide prevention, mental health issues and/or mental health promotion • facilitate the exchange of information • co-ordinate suicide prevention activities to maximise impact • encourage sharing of skills and learning • raise community awareness of suicide risk and protective factors and help create pathways

Job insecurity is a modifiable risk factor for poor health outcomes, and exposure to job insecurity varies by population groups. This study assessed if job insecurity exposure varied by migrant status and if the differences varied by gender, age, educational attainment, and occupational skill level. Data were from wave 14 of the Household Income and Labour Dynamics in Australia Survey. The outcome was job insecurity. Exposure was migrant status defined by (1) the country of birth (COB), (2) the dominant language of the COB, and (3) the number of years since arrival in Australia. Data were analysed using linear regression, adjusting for gender, age, educational attainment, and occupational skill level. These covariates were also analysed as effect modifiers for the migrant status-job insecurity relationships. Migrant workers, especially those from non-English speaking countries (non-ESC-born), experienced higher job insecurity than Australia-born workers; however, these disparities disappeared after 11+ years post-arrival. The migrant status-job insecurity relationships were modified by educational attainment. Unexpectedly, the disparities in job insecurity between non-ESC-born migrants and Australia-born workers increased with increasing educational attainment, and for those most highly educated, the disparities persisted beyond 11 years post-arrival. Our findings suggested that continuing language skill support and discrimination prevention could facilitate migrant integration into the Australian labour market.

Background: There has long been debate about the extent to which mental disorders contribute to suicide. We aimed to examine the evidence on the contribution of mental disorders to suicide among record linkage studies. Methods: We performed a systematic search using eight major health databases for English-language studies published between 1 January 2000 and 11 June 2018 that linked collected data on mental disorders and suicide. We then conducted a meta-analysis to assess risk of suicide conferred by mental disorders. Results: Our search identified 20 articles representing 13 unique studies. The pooled rate ratio (RR) was 13.2 (95% CI 8.6–20.3) for psychotic disorders, 12.3 (95% CI 8.9–17.1) for mood disorders, 8.1 (95% CI 4.6–14.2) for personality disorders, 4.4 (95% CI 2.9–6.8) for substance use disorders, and 4.1 (95% CI 2.4–6.9) for anxiety disorders in the general population. The overall pooled RR for these mental disorders was 7.5 (95% CI 6.6–8.6). The population attributable risk of mental disorders was up to 21%. Limitations: The overall heterogeneity between studies was very high. Conclusions: Our findings underline the important role of mental disorders in suicide. This suggests that ongoing efforts are required to improve access to and quality of mental health care to prevent suicide by people with mental disorders.

OBJECTIVE: To assess the impact of the "Pause. Call. Be Heard" campaign on help-seeking and suicidal behaviors within rail environment in Victoria, Australia. METHODS: An anonymous online survey was conducted to measure noticeability of and engagement with the campaign and help-seeking intentions and behaviors among rail commuters at 10 rail stations. We generated descriptive statistics to report these data and used logistic regression models to examine the association between campaign-related factors and help-seeking. Changes in Lifeline crisis calls and rail suicide behaviors from precampaign to campaign periods were examined using proportion tests. RESULTS: About 25% of rail commuters noticed the campaign and rated the materials as "moderately noticeable." Over half of these individuals correctly identified the campaign intentions and 75% engaged with the materials. Approximately 80% indicated that the materials increased their help-seeking intentions and about half indicated that they had engaged with help-seeking and/or self-caring behaviors. Engaging with the campaign was positively associated with help-seeking. A significant increase in crisis calls but not in suicide-related calls, and a nonsignificant decrease in rail suicidal behaviors were found during the campaign period. CONCLUSIONS: Continued implementation of the campaign is warranted as it showed some desirable effects on help-seeking among rail commuters.

BACKGROUND: Previous research has found dental practitioners at elevated risk of complaint compared with other health professions. This study aimed to describe the frequency, nature and risk factors for complaints involving dental practitioners. METHODS: We assembled a national dataset of complaints about registered health practitioners in Australia between January 2011 and December 2016. We classified complaints into 23 issues across three domains: health, performance and conduct. We compared rates of complaints about dental practitioners and other health practitioners. We used negative binomial regression analysis to identify factors associated with complaints. RESULTS: Dental practitioners made up 3.5% of health practitioners, yet accounted for approximately 10% of complaints. Dental practitioners had the highest rate of complaints among fourteen health professions (42.7 per 1000 practitioners per year) with higher rates among dentists and dental prosthetists than allied dental practitioners. Male practitioners were at a higher risk of complaints. Most complaints about dentists related to treatments and procedures (59%). Around 4% of dentists received more than one complaint, accounting for 49% of complaints about dentists. In 60% of closed cases no regulatory action was required. Around 13% of complaints resulted in restrictive actions, such as conditions on practice. CONCLUSION: Improved understanding of patterns may assist regulatory boards and professional associations to ensure competent practice and protect patient safety.

This review evaluates the evidence on what interventions are effective in reducing public stigma towards people with severe mental illness, defined as schizophrenia, psychosis or bipolar disorder. We included 62 randomised controlled trials of contact interventions, educational interventions, mixed contact and education, family psychoeducation programs, and hallucination simulations. Contact interventions led to small-to-medium reductions in stigmatising attitudes (d = 0.39, 95% CI: 0.22 to 0.55) and desire for social distance (d = 0.59, 95% CI: 0.37 to 0.80) post-intervention, but these were reduced after adjusting for publication bias (d = 0.24 and d = 0.40, respectively). Effects did not vary by type or length of contact. Effects at follow-up were smaller and not significant. Education interventions led to small-to-medium reductions in stigmatising attitudes (d = 0.30, 95% CI: 0.14 to 0.47) and desire for social distance (d = 0.27, 95% CI: 0.08 to 0.46) post-intervention. Small improvements in social distance persisted up to 6 months later (d = 0.27, 95% CI: 0.05 to 0.49), but not attitudes (d = 0.03, 95% CI: -0.12 to 0.18). The combination of contact and education showed similar effects to those that presented either intervention alone, and head-to-head comparisons did not show a clear advantage for either kind of intervention. Family psychoeducation programs showed reductions in stigma post-intervention (d = 0.41, 95% CI: 0.11 to 0.70). The effectiveness of hallucination simulations was mixed. In conclusion, contact interventions and educational interventions have small-to-medium immediate effects upon stigma, but further research is required to investigate how to sustain benefits in the longer-term, and to understand the active ingredients of interventions to maximise their effectiveness.

BACKGROUND: A growing number of studies have sought to detect clusters of all suicides, but few have sought to identify clusters of method-specific suicides. METHODS: Data on railway suicides occurring in Victoria, Australia, between 2001 and 2012 were obtained from the National Coronial Information System. We used the Poisson discrete scan statistic to identify railway suicides that occurred close together in space and/or time. We then used a case-control design to compare clustered railway suicides with non-clustered railway suicides on a range of individual and neighbourhood factors. RESULTS: We detected four spatial clusters that accounted for 35% of all railway suicides. Railway suicides by individuals who were hospitalised for mental illness had nearly double the odds of being in a cluster compared with those individuals who had never been hospitalised (OR 1.80, 95% CI 1.02 to 3.18). Higher frequency train services were associated with increased odds of being in a cluster (OR 1.11, 95% CI 1.03 to 1.19). No other predictors were associated with being in a cluster. CONCLUSIONS: Railway suicides that occur in clusters warrant particular attention because of the ripple effect they can have for communities and the risk that they may lead to copycat acts. Railway suicide prevention strategies should consider the fact that these suicides can occur in clusters, particularly among individuals who had previous hospitalisations for mental illness or live in areas with high-frequency train services.

BACKGROUND: A suicide cluster is defined as a higher number of observed cases occurring in space and/or time than would typically be expected. Previous research has largely focused on identifying clusters of suicides, while there has been comparatively limited research on clusters of suicide attempts. We sought to identify clusters of both types of behaviour, and having done that, identify the factors that distinguish suicide attempts inside a cluster from those that were outside a cluster. METHODS: We used data from Western Australia from 2000 to 2011. We defined suicide attempts as admissions to hospital for deliberate self-harm and suicides as deaths due to deliberate self-harm. Using an analytic strategy that accounted for the repetition of attempted suicide within a cluster, we performed spatial-temporal analysis using Poisson discrete scan statistics to detect clusters of suicide attempts and clusters of suicides. Logistic regression was then used to compare clustered attempts with non-clustered attempts to identify risk factors for an attempt being in a cluster. RESULTS: We detected 350 (1%) suicide attempts occurring within seven spatial-temporal clusters and 12 (0.6%) suicides occurring within two spatial-temporal clusters. Both of the suicide clusters were located within a larger but later suicide attempt cluster. In multivariate analysis, suicide attempts by individuals who lived in areas of low socioeconomic status had higher odds of being in a cluster than those living in areas of high socioeconomic status [odds ratio (OR) = 29.1, 95% confidence interval (CI) = 6.3-135.5]. A one percentage-point increase in the proportion of people who had changed address in the last year was associated with a 60% increase in the odds of the attempt being within a cluster (OR = 1.60, 95% CI = 1.29-1.98) and a one percentage-point increase in the proportion of Indigenous people in the area was associated with a 7% increase in the suicide being within a cluster (OR = 1.07

This study aimed to investigate the factors associated with the choice of trains over other means of suicide. We performed a case-control study using data on all suicides in Victoria, Australia between 2009 and 2012. Cases were those who died by rail suicide and controls were those who died by suicide by any other means. A logistic regression model was used to estimate the association between the choice of trains and a range of individual-level and neighbourhood-level factors. Individuals who were never married had double odds of using trains compared to individuals who were married. Those from areas with a higher proportion of people who travel to work by train also had greater odds of dying by railway suicide compared to those from areas with a relatively lower proportion of people who travel to work by train. Prevention efforts should consider limiting access to the railways and other evidence-based suicide prevention activities.

The aim of this study was to establish mental health and suicide research priorities for people from immigrant and refugee background in Australia. This article focuses on the data relevant to the development of the suicide research agenda. This study was conducted using Delphi consensus method with two rounds of online questionnaires. A total of 138 and 86 participants, respectively, completed the first and second rounds of survey. Participants were policy makers, service providers, academics, service users, and carer advocates in Australia with expertise in mental health and/or suicide among people from immigrant and refugee backgrounds. Of the total 268 research questions included in the questionnaires, 70 questions about suicide were ranked as essential by over 50% respondents (i.e., the set level of consensus). In particular, research questions regarded as the greatest priority related to access and engagement with suicide prevention services, suicide protective and risk factors compared to populations not from immigrant and refugee backgrounds, and culturally appropriate assessment of suicide risk.

PURPOSE: This study aims to simultaneously examine individual- and community-level factors associated with railway suicide. METHODS: We performed a case-control study in Victoria, Australia between 2001 and 2012. Data on cases of railway suicide were obtained from the National Coronial Information System (a database of coronial investigations). Controls were living individuals randomly selected from the Household, Income and Labour Dynamics in Australia study, matching to cases on age groups, sex and year of exposures. A conditional logistic regression model was used to assess the individual-level and community-level influences on individual odds of railway suicide, controlling for socioeconomic status. RESULTS: Individual-level diagnosed mental illness increased railway suicide odds by six times [95 % confidence interval (CI) 4.5, 9.2]. Community-level factors such as living in an area with a presence of railway tracks [odds ratio (OR) 1.8, 95 % CI 1.2, 2.8], within a city (OR 3.2, 95 % CI 1.9, 5.4), and with a higher overall suicide rate (OR 1.02, 95 % CI 1.01, 1.04) were independently associated with greater individual odds of railway suicide compared to living in an area without a presence of railway tracks, outside a city, and with a relatively lower overall suicide rate. CONCLUSIONS: The effects of mental illness and high incidence of overall suicides are prominent, but not specific on railway suicide. The effects of presence of railway tracks and city residence suggest the importance of accessibility to the railways for individual risk of railway suicide. Prevention efforts should focus on vulnerable people live in areas with easy access to the railways.

BACKGROUND: A suicide cluster has been defined as a group of suicides that occur closer together in time and space than would normally be expected. We aimed to examine the extent to which suicide clusters exist among young people and adults in Australia and to determine whether differences exist between cluster and non-cluster suicides. METHODS: Suicide data were obtained from the National Coronial Information System for the period 2010 and 2012. Data on date of death, postcode, age at the time of death, sex, suicide method, ICD-10 code for cause of death, marital status, employment status, and aboriginality were retrieved. We examined the presence of spatial clusters separately for youth suicides and adult suicides using the Scan statistic. Pearson's chi-square was used to compare the characteristics of cluster suicides with non-cluster suicides. RESULTS: We identified 12 spatial clusters between 2010 and 2012. Five occurred among young people (n = 53, representing 5.6% [53/940] of youth suicides) and seven occurred among adults (n = 137, representing 2.3% [137/5939] of adult suicides). Clusters ranged in size from three to 21 for youth and from three to 31 for adults. When compared to adults, suicides by young people were significantly more likely to occur as part of a cluster (difference = 3.3%, 95% confidence interval [CI] = 1.8 to 4.8, p < 0.0001). Suicides by people with an Indigenous background were also significantly more likely to occur in a cluster than suicide by non-Indigenous people and this was the case among both young people and adults. CONCLUSIONS: Suicide clusters have a significant negative impact on the communities in which they occur. As a result it is important to find effective ways of managing and containing suicide clusters. To date there is limited evidence for the effectiveness of those strategies typically employed, in particular in Indigenous settings, and developing this evidence base needs to be a future priority. Future research that

Community beliefs related to intentional injury inflicted by others were examined in a population-based telephone survey (n = 1032) in Queensland, Australia. Young adults 18 to 24 years old were nominated as the most likely to be intentionally injured. It was found that 89.1% of respondents nominating this group believed that the injury incidents occur in alcohol environments. Though respondents from this age group also identified 18- to 24-year-olds as most likely to be intentionally injured, this was at a significantly lower level when compared with parents or 25- to 64-year-olds respondents. Responsibility for preventing injuries was placed on proprietors of licensed premises, schools, and parents/family of the victim for alcohol, school, and home environments, respectively. Beliefs were aligned with prevalence data on intentional injury, demonstrating a high level of awareness in the community about likely victims and situations where intentional injuries occur. Interventions could target families of young adults to capitalize on high levels of awareness about young adult vulnerability.

BACKGROUND: This study investigates the associations between railway suicide and neighborhood social, economic, and physical determinants using postcode-level data. It also examines whether the associations are influenced by having high concentration of high-risk individuals in a neighborhood area. METHODS: Railway suicide cases from Victoria, Australia for the period of 2001-2012, their age, sex, year of death, usual residential address and suicide location were obtained from the National Coronial Information System. Univariate negative binomial regression models were used to estimate the association between railway suicide and neighborhood-level social, economic and physical factors. Variables which were significant in these univariate models were then assessed in a multivariate model, controlling for age and sex of the deceased and other known confounders. RESULTS: Findings from the multivariate analysis indicate that an elevated rate of railway suicide was strongly associated with neighborhood exposure of higher number of railway stations (IRR=1.30 95% CI=1.16-1.46). Other significant neighborhood risk factors included patronage volume (IRR=1.06, 95% CI=1.02-1.11) and train frequency (IRR=1.02, 95% CI=1.01-1.04). An increased number of video surveillance systems at railway stations and carparks was significantly associated with a modest reduction in railway suicide risk (IRR=0.93, 95% CI=0.88-0.98). These associations were independent of concentration of high-risk individuals. LIMITATIONS: Railway suicide may be under-reported in Australia. CONCLUSIONS: Interventions to prevent railway suicide should target vulnerable individuals residing in areas characterized by high station density, patronage volume and train frequency.

BACKGROUND: Various interventions have been introduced to try to prevent suicides at suicide hotspots, but evidence of their effectiveness needs to be strengthened. METHODS: We did a systematic search of Medline, PsycINFO, and Scopus for studies of interventions, delivered in combination with others or in isolation, to prevent suicide at suicide hotspots. We did a meta-analysis to assess the effect of interventions that restrict access to means, encourage help-seeking, or increase the likelihood of intervention by a third party. FINDINGS: We identified 23 articles representing 18 unique studies. After we removed one outlier, interventions that restricted access to means were associated with a reduction in the number of suicides per year (incidence rate ratio 0.09, 95% CI 0.03-0.27; p<0.0001), as were interventions that encourage help-seeking (0.49, 95% CI 0.29-0.83; p=0.0086), and interventions that increase the likelihood of intervention by a third party (0.53, 95% CI 0.31-0.89; p=0.0155). When we included only those studies that assessed a particular intervention in isolation, restricting access to means was associated with a reduction in the risk of suicide (0.07, 95% CI 0.02-0.19; p<0.0001), as was encouraging help-seeking (0.39, 95% CI 0.19-0.80; p=0.0101); no studies assessed increasing the likelihood of intervention by a third party as a lone intervention. INTERPRETATION: The key approaches that are currently used as interventions at suicide hotspots seem to be effective. Priority should be given to ongoing implementation and assessment of initiatives at suicide hotspots, not only to prevent so-called copycat events, but also because of the effect that suicides at these sites have on people who work at them, live near them, or frequent them for other reasons. FUNDING: National Health and Medical Research Council, Commonwealth Department of Health.

BACKGROUND: Railway suicide has significant adverse impacts for the victims, their family and friends, witnesses to the incident, general public and train network. There is no previous review on the socio-environmental factors and railway suicide. The research question asked in this review was: 'What socio-environmental risk and protective predictors are significantly associated with railway suicide?' METHODS: The review searched Medline, PsycINFO, Web of Science and Scopus for English-language studies that assessed the associations between socio-environmental (i.e. geographical, physical, economic and social) factors and railway suicide from their inception to June 2013. It was reported based on the PRISMA Statement. RESULTS: Eleven studies met the inclusion criteria. They were categorised into railway environments (availability of railways and trains, accessibility to railways and familiarity with trains), population characteristics and impact of media reporting. Findings from ecological studies using population level railway suicide data suggested weak and inconsistent evidence for the first two categories. The evidence on the impact of media reporting was moderately strong, with irresponsible media reporting being associated with an increased risk of railway suicide. CONCLUSIONS: There is a need for further research activity to strengthen evidence about socio-environmental risk factors for railway suicide. The focus of this research should be on the factors that determine individuals' decisions of using the railway as a method of suicide, with the consideration of a range of geographical, physical, social, and economic factors.

INTRODUCTION: Cultural and linguistic diversity is a core feature of the Australian population and a valued element of national identity. The proportion of the population that will be overseas-born is projected to be 32% by 2050. While a very active process of mental health system reform has been occurring for more than two decades - at national and state and territory levels - the challenges presented by cultural and linguistic diversity have not been effectively met. A key area in which this is particularly an issue is in the collection, analysis and reporting of mental health data that reflect the reality of population diversity. The purpose of this study was to examine: what is known about the mental health of immigrant and refugee communities in Australia; whether Australian mental health research pays adequate attention to the fact of cultural and linguistic diversity in the Australian population; and whether national mental health data collections support evidence-informed mental health policy and practice and mental health reform in multicultural Australia. METHODS: The study consisted of three components - a brief review of what is known about mental health in, and mental health service use by, immigrant and refugee communities; an examination of national data collections to determine the extent to which relevant cultural variables are included in the collections; and an examination of Australian research to determine the extent to which immigrant and refugee communities are included as participants in such research. RESULTS: The review of Australian research on mental health of immigrant and refugee communities and their patterns of mental health service use generated findings that are highly variable. The work is fragmented and usually small-scale. There are multiple studies of some immigrant and refugee communities and there are no studies of others. Although there is a broadly consistent pattern of lower rates of utilisation of specialist public mental