Search

Purpose: Use of alcohol and other substances is a multifaceted issue impacting young people across multiple life domains. This paper aims to elucidate patterns of substance use and associated demographic and clinical factors among young people seeking treatment for their mental health. Methods: Young people (12–25 years old) were recruited from five youth-specific primary mental health ("headspace") services in Australia. Self-reported substance use and harms in the past 3 months were measured using WHO-ASSIST. Network analyses were conducted to evaluate interrelationships between use and harms associated with different substances. Subgroups were then identified based on whether participants reported using high centrality substances, and associated demographic and clinical factors were assessed with multinomial logistic regression. Results: 1107 youth participated. 70% reported use of at least one substance in the past 3 months, with around 30% of those reporting related health, social, legal or financial problems. Network analysis highlighted substantial interconnections between use and harm indicators for all substances, with amphetamine-type stimulants (ATS) and cannabis being high central substances. Higher levels of substance use and harms were reported in subgroups with ATS or cannabis use and different risk factors were associated with these subgroups. Conclusions: Findings highlight the importance of screening for substance use in youth primary mental healthcare settings, offering a key opportunity for early intervention. Clinicians should be aware of the inner connections of use and harms of different drugs and the role of cannabis and amphetamine use as a marker for more substance use profiles. [ABSTRACT FROM AUTHOR]

Purpose: In Australia and elsewhere, suicide rates among construction workers remain high. Construction workplaces are thus an important setting for targeted suicide prevention programs. This study aimed to compare suicide prevention literacy and help-seeking intentions among participants receiving face-to-face suicide prevention training, with those receiving face-to-face training augmented by a smartphone application. Methods: A two-arm randomised controlled trial of a smartphone suicide prevention intervention was conducted among construction workers in four Australian states (trial registration number: ACTRN12619000625178). All participants received face-to-face training and were randomised to the control condition (face-to-face only, n = 575), or MATESmobile condition (face-to-face + smartphone application,n = 509). Surveys administered at baseline and 3-month follow-up measured suicide prevention literacy and help-seeking intentions for personal/emotional problems and suicidal thoughts. A mixed-model repeated measures (MMRM) analysis included all 1084 randomised participants. Results: Outcomes did not differ significantly for suicide prevention literacy, nor help-seeking intentions from formal sources, informal sources outside the workplace, or no one (did not intend to seek help from anyone). However, relative to those in the control condition, those in the MATESmobile group showed greater increase in help-seeking intentions for emotional problems from a MATES worker/Connector (mean difference 0.54, 95% CI 0.22–0.87) and help-seeking intentions for suicidal thoughts from a workmate (mean difference 0.47, 95% CI 0.10–0.83) or MATES worker/Connector (mean difference 0.47, 95% CI 0.09–0.85). Conclusion: Results indicate that the MATESmobile application, together with face-to-face training, is beneficial in enhancing help-seeking intentions from MATES workers/Connectors and workmates to a greater extent than face-to-face training only. While this research provides some evidence that smartphone applications may support suicide prevention training, further research is needed. [ABSTRACT FROM AUTHOR]

Background: Despite recent substantial mental healthcare reforms to increase the supply of healthcare, mental health inequality in Australia is rising. Understanding of the level of inequity (unmet need gap) in psychiatric service use in Australia's mixed public–private health care system is lacking. Objective: To present a novel method to measure inequity in the delivery of psychiatric care. Methods: Data came from wave 9 (year 2009, n = 11,563) and wave 17 (year 2017, n = 16,194) of the Household, Income and Labour Dynamics in Australia (HILDA) survey. Multiple logistic regression was employed to estimate the psychiatric care utilisation compared to its need and the Gini index was used to estimate the standardised distribution of utilisation to measure the extent of inequity. Results: The results show the inequity indices (need-standardised Gini) in psychiatric care utilisation were significant and found to be 0.066 and 0.096 in 2009 and 2017, respectively, for all individuals. In 2009, the inequity indices were found to be 0.051 and 0.078 for males and females, respectively, and 0.045 and 0.068 for rural and urban residents, respectively. In 2017, the indices were calculated to be 0.081 and 0.109 for males and females, respectively, and 0.086 and 0.097 for rural and urban residents, respectively. Conclusions: This study showed a marked increase in unmet needs in psychiatric care utilisation since 2009. There is a greater need to develop policies to improve equity in psychiatric care utilisation in Australia. [ABSTRACT FROM AUTHOR]

Purpose: People with mental illness are a vulnerable and stigmatised group with poor health outcomes including greater premature mortality. This study aimed to investigate trends and rates of change in unintentional drug-related deaths for people with mental illness, describe types of medicines involved, and identify populations at risk in a cohort from New South Wales, Australia. Methods: Features of unintentional drug-related deaths for people with mental illness between 2012 and 2016 were identified in a retrospective review of data from the National Coronial Information System. Results: A total of 495 unintentional drug-related deaths were identified (1.6 deaths/100,000 population), showing an upward trend (p < 0.01). The most common substance involved was diazepam in both genders (males 135/319, 42%, female 76/176, 43%) and more than one contributory drug was included in 80% of cases. Between 2012 and 2016, amphetamine-related deaths showed the highest increase (3.2-fold), followed by codeine (2.5-fold) and quetiapine (2.5-fold). Males (RR 1.8, 95% CI 1.5–2.2) and people aged 35–44 (RR 1.7, CI 1.3–2.2) were more likely to die from unintentional drug-related deaths compared with the reference (females and people aged 25–34). Conclusion: This study found that the drugs commonly involved in deaths are also the drugs commonly used by and prescribed to people with mental illness. There were also significant differences between gender, age group, and marital status in the trend and rate of unintentional drug-related deaths for people with mental illness. A multifaceted approach encompassing both pharmaceutical prescribing and targeted public health messaging is required to inform intervention and prevention strategies. [ABSTRACT FROM AUTHOR]