ORCID Profile
0000-0002-8313-7883
Current Organisations
University of Sydney
,
Black Dog Institute
,
University of Wollongong
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Publisher: Royal College of Psychiatrists
Date: 17-03-2023
DOI: 10.1192/BJP.2023.22
Abstract: Previous research showed that the Global Financial Crisis (GFC) was associated with a widening disparity in suicide rates between lower-class occupations and the highest-class occupations in Australia. There has been no research investigating whether this trend continued post-GFC. This study aimed to investigate suicide rates by occupational class among employed Australians aged 15 years and over, between 2007 and 2018. A population-level retrospective mortality study was conducted using data from the National Coronial Information System. Adjusted suicide rates were calculated over the period 2007 to 2018. Negative binomial regression models were used to assess the relationship between occupational class, gender and time, comparing post-GFC years (2010–2012, 2013–2015 and 2016–2018) with GFC years (2007–2009). Relative to the GFC period of 2007–2009, a significant reduction in suicide disparity between managers and other occupation groups was only observed among male labourers (rate ratios (RR) = 0.65, 95% CI 0.49–0.86) and male technicians/trades workers (RR = 0.73, 95% CI 0.56–0.96) for the period 2013–2015. Skilled manual and lower-skilled occupational classes remain at elevated risk of suicide in Australia. While a decreasing ergence in suicide rates was only observed between labourer and manager occupational classes post-GFC, this trend was not maintained over the later part of the study period (2016–2018). There is a need to further understand the relationship between contextual factors associated with suicide among the employed population, especially during periods of economic downturn.
Publisher: BMJ
Date: 27-04-2018
Publisher: JMIR Publications Inc.
Date: 22-10-2020
DOI: 10.2196/18762
Abstract: Researchers are increasingly using social media advertisements to recruit participants because of their many advantages over traditional methods. Although there is growing evidence for the effectiveness and cost-effectiveness of social media recruitment in the health sciences, no studies have yet examined this in the context of suicide prevention, which remains to be a highly stigmatized and sensitive topic. This study aims to recruit a general community s le to complete a survey on suicide literacy, stigma, and risk via Facebook advertisements. Specifically, we aim to establish the performance of the advertisements, cost-effectiveness, s le representativeness, and the impact of gender-specific advertising on recruiting men into the study. From June 2017 to March 2019, we released Facebook advertisements targeted at adults 18 years or older, residing in the New South Wales (NSW) trial or control regions, and involved in the LifeSpan suicide prevention trial. Cost-effectiveness was examined descriptively using metrics provided by Facebook. Chi-square analyses were conducted to determine demographic differences between our s le and the general NSW population as well as the impact of gender-specific advertisements on gender engagement. The 14 Facebook advertisement c aigns reached a total of 675,199 people, yielding 25,993 link clicks and resulting in 9603 in iduals initiating the survey (7487 completions) at an overall cost of Aus $2.81 (US $2.01) per participant. There was an overrepresentation of younger (P=.003), female (P=.003), highly educated (P .001) participants and mental health conditions (P .001) compared with the total NSW population. The use of male-specific advertisements resulted in a significantly higher proportion of men completing the survey relative to gender-neutral advertisements (38.2% vs 24.6% P .001). This study demonstrates the potential of Facebook to be an effective, low-cost strategy for recruiting a large s le of general community participants for suicide prevention research. Strategies to improve s le representativeness warrant further investigation in future research.
Publisher: Springer Science and Business Media LLC
Date: 13-01-2022
Publisher: Elsevier BV
Date: 05-2022
DOI: 10.1016/J.IJMEDINF.2022.104734
Abstract: There is increasing interest in suicide surveillance solutions to identify non-fatal suicidal and self-harming behaviours in the Australian community not currently captured through national administrative datasets. The aim of the present study was to develop machine learning models to classify self-harm related behaviours using unstructured clinical note text from New South Wales (NSW) Ambulance data and compare their performance via traditional methods. Primary data were derived from NSW Ambulance electronic medical records (eMRs) for potential self-harm related NSW Ambulance attendances for the period 2013-2019. Data included paramedic clinical notes detailing the nature of the attendance, clinical outcome, and narrative information. We assessed sensitivity, specificity, positive predictive value, negative predictive value, F-score, and the Matthews correlation coefficient (MCC) for four algorithms (Support Vector Machine, random forest, decision tree, and logistic regression). The performance of these algorithms was compared using the MCC measure. In a test s le of 3157 ambulance attendances (1349 self-harm related behaviours and 1808 unrelated), the MCC for classification of self-harm related behaviour ranged from +0.681 to +0.730. The Support Vector Machine (sensitivity = 82.7%, specificity = 89.6%, MCC = 0.730) and the logistic regression (sensitivity = 83.1%, specificity = 89.3%, MCC = 0.727) models performed best. This study demonstrates that machine learning models can be applied to paramedic notes within unstructured medical records to classify self-harm related behaviours. The resulting model could be used to compliment current manual abstraction of self-harm behaviours and provide more timely approximations to be used for self-harm surveillance.
Publisher: JMIR Publications Inc.
Date: 17-03-2020
Abstract: esearchers are increasingly using social media advertisements to recruit participants because of their many advantages over traditional methods. Although there is growing evidence for the effectiveness and cost-effectiveness of social media recruitment in the health sciences, no studies have yet examined this in the context of suicide prevention, which remains to be a highly stigmatized and sensitive topic. his study aims to recruit a general community s le to complete a survey on suicide literacy, stigma, and risk via Facebook advertisements. Specifically, we aim to establish the performance of the advertisements, cost-effectiveness, s le representativeness, and the impact of gender-specific advertising on recruiting men into the study. rom June 2017 to March 2019, we released Facebook advertisements targeted at adults 18 years or older, residing in the New South Wales (NSW) trial or control regions, and involved in the LifeSpan suicide prevention trial. Cost-effectiveness was examined descriptively using metrics provided by Facebook. Chi-square analyses were conducted to determine demographic differences between our s le and the general NSW population as well as the impact of gender-specific advertisements on gender engagement. he 14 Facebook advertisement c aigns reached a total of 675,199 people, yielding 25,993 link clicks and resulting in 9603 in iduals initiating the survey (7487 completions) at an overall cost of Aus $2.81 (US $2.01) per participant. There was an overrepresentation of younger ( i P /i =.003), female ( i P /i =.003), highly educated ( i P /i & .001) participants and mental health conditions ( i P /i & .001) compared with the total NSW population. The use of male-specific advertisements resulted in a significantly higher proportion of men completing the survey relative to gender-neutral advertisements (38.2% vs 24.6% i P /i & .001). his study demonstrates the potential of Facebook to be an effective, low-cost strategy for recruiting a large s le of general community participants for suicide prevention research. Strategies to improve s le representativeness warrant further investigation in future research.
No related grants have been discovered for Alexander Burnett.