Introduction: Deliberate self-harm and suicide attempts share common risk factors but are associated with different epidemiological features. While the rate of suicide after deliberate self-harm has been evaluated in meta-analyses, the specific rate of death by suicide after a previous suicide attempt has never been assessed. The aim of our study was to estimate the incidence of death by suicide after a nonfatal suicide attempt.
Method: We developed and followed a standard meta-analysis protocol (systematic review registration-PROSPERO 2021: CRD42021221111). Randomized controlled trials and cohort studies published between 1970 and 2020 focusing on the rate of suicide after suicide attempt were identified in PubMed, PsycInfo and Scopus and qualitatively described. The rates of deaths by suicide at 1, 5 and 10 years after a nonfatal suicide attempt were pooled in a meta-analysis using a random-effects model. Subgroup analysis and meta-regressions were also performed.
Results: Our meta-analysis is based on 41 studies. The suicide rate after a nonfatal suicide attempt was 2.8% (2.2-3.5) at 1 year, 5.6% (3.9-7.9) at 5 years and 7.4% (5.2-10.4) at 10 years. Estimates of the suicide rate vary widely depending on the psychiatric diagnosis, the method used for the suicide attempt, the type of study and the age group considered.
Conclusion: The evidence of a high rate of suicide deaths in the year following nonfatal suicide attempts should prompt prevention systems to be particularly vigilant during this period.
Objective: There is a lack of a systematic, coordinated approach to reducing the occurrence and impact of adverse childhood experiences. Hence, identifying feasible intervention priorities in this field will help inform policy and reformation of ongoing service delivery. The objective of this study was to identify expert consensus-driven priority interventions for reducing the occurrence and impact of adverse childhood experiences in children under 8 years of age in the Australian context.
Methods: A three-round online Delphi survey was conducted to establish consensus on 34 interventions for adverse childhood experiences identified through a literature search. Six were general categories of interventions, 6 were broad intervention programmes and 22 were specific interventions. Participants were 17 health practitioners, 15 researchers, 9 policy experts, 7 educators and 3 consumer advocates with expertise in adverse childhood experiences or child mental health. Consensus was defined as an intervention being rated as 'very high priority' or 'high priority' according to its importance and feasibility by ⩾75% of all experts.
Results: Seven of the 34 interventions were endorsed as priority interventions for adverse childhood experiences. These included four general categories of intervention: community-wide interventions, parenting programmes, home-visiting programmes and psychological interventions. Two broad intervention programmes were also endorsed: school-based anti-bullying interventions and psychological therapies for children exposed to trauma. Positive Parenting Program was the only specific intervention that achieved consensus.
Conclusion: This is the first study to identify stakeholder perspectives on intervention priorities to prevent the occurrence and impact of adverse childhood experiences. Prioritisation of effective, feasible and implementable intervention programmes is an important step towards better integration and coordination of ongoing service delivery to effectively prevent and respond to adverse childhood experiences.
Objective: To assess the impact, in the Australian setting, of the COVID-19 lockdown on antipsychotic supplies for patients with schizophrenia following a prescription from a new medical consultation when compared to the same periods in the previous 4 years. A secondary objective was to assess the volume of all antipsychotic supplies, from new and repeat prescriptions, over these same periods.
Methods: A retrospective pharmaceutical claims database study was undertaken, using the Department of Human Services Pharmaceutical Benefits Scheme 10% sample. The study population included all adult patients with three or more supplies of oral or long-acting injectable antipsychotics for the treatment of schizophrenia at any time between 1 June 2015 and 31 May 2020. The primary outcome compared volumes of dispensed antipsychotics from new prescriptions (which require a medical consultation) between 1 April and 31 May each year from 2016 to 2020. This was to analyse the period during which the Australian Government imposed a lockdown due to COVID-19 (April to May 2020) when compared the same periods in previous years.
Results: There was a small (5.7%) reduction in the number of antipsychotics dispensed from new prescriptions requiring a consultation, from 15,244 to 14,372, between April and May 2019 and the same period in 2020, respectively. However, this reduction was not statistically significant (p = 0.75) after adjusting for treatment class, age, gender, location and provider type.
Conclusion: The COVID-19 restrictions during April and May 2020 had no significant impact on the volume of antipsychotics dispensed from new prescriptions for patients with schizophrenia when compared to the volume of antipsychotics dispensed from new prescriptions during the same period in previous years.
Context: Studies of child and adolescent internalizing symptoms and dietary pattern have produced mixed results.
Objectives: To quantify the association between dietary patterns and internalizing symptoms, including depression, in children and adolescents.
Data sources: Embase, PsycINFO, MEDLINE, Web of Science and Cochrane up to March 2021.
Study selection: Observational studies and randomized controlled trials with mean age ⩽ 18 years, reporting associations between diet patterns and internalizing symptoms.
Data extraction: Mean effect sizes and 95% confidence intervals were determined under a random-effects model.
Results: Twenty-six studies were cross-sectional, 12 were prospective, and 1 used a case-control design. The total number of participants enrolled ranged from 73,726 to 116,546. Healthy dietary patterns were negatively associated with internalizing (r = -0.07, p < 0.001, 95% confidence interval [-0.12, 0.06]) and depressive symptoms (r = -0.10, p < 0.001, 95% confidence interval [-0.18, -0.08]). Effect sizes were larger for studies of healthy dietary patterns and internalizing and depressive symptoms using self-report versus parent-report measures, as well as in cross-sectional studies of healthy dietary patterns and depression compared to prospective studies. Unhealthy dietary patterns were positively associated with internalizing (r = 0.09, p < 0.001, 95% confidence interval [0.06, 0.14]) and depressive symptoms (r = 0.10, p < 0.01, 95% CI [0.05, 0.17]). Larger effect sizes were observed for studies of unhealthy dietary patterns and internalizing and depressive symptoms using self-report versus parent-report measures.
Limitations: A lack of studies including clinical samples and/or physician diagnosis, and a paucity of studies in which anxiety symptoms were the primary mental health outcome.
Conclusion: Greater depression and internalizing symptoms are associated with greater unhealthy dietary patterns and with lower healthy dietary intake among children and adolescents.
Objective: This study aimed to evaluate whether the Therapist-assisted Online Parenting Strategies programme increased parenting behaviours known to be supportive of adolescents experiencing anxiety and/or depression. Secondary parenting outcomes of parental self-efficacy, parental accommodation, carer burden, parent-adolescent attachment, family functioning and parent distress were also examined, along with adolescent outcomes of anxiety and depression symptoms, suicidal ideation and sleep.
Method: Seventy-one parents (94.4% females) and their adolescents (73.2% females) aged 12-18 years (Mean = 15.02, SD = 1.56) being treated for depression and/or anxiety in Australia were recruited into a single-arm double-baseline open-label trial. Parents received Therapist-assisted Online Parenting Strategies, which comprised up to nine web-based modules each supplemented with coaching sessions via videoconferencing. Outcomes were analysed using latent growth curve modelling to determine if changes to outcomes at post-intervention (4 month post-second baseline) exceeded changes between two baselines measured 1 month apart.
Results: Sixty-five parents (91.6%) completed at least one module of the online parenting intervention and on average received nine coaching sessions (SD = 2). Parenting behaviours targeted by Therapist-assisted Online Parenting Strategies improved at post-intervention (Cohen's d = 1.16, 95% confidence interval [0.78, 1.51]). Parent-reported parental self-efficacy and parent-adolescent attachment increased (Cohen's d = 1.44 [1.05, 1.82] and 0.39 [0.05, 0.74], respectively), while impairments to family functioning and parent distress decreased (Cohen's d = -0.51 [-0.86, -0.16] and -0.84 [-1.23, -0.44], respectively). Changes to adolescent anxiety, depression and sleep were not significant.
Conclusion: The Therapist-assisted Online Parenting Strategies intervention improved self-reported parenting behaviours, parental self-efficacy, parent levels of distress, parent-adolescent attachment, and family functioning in parents with adolescents being treated for anxiety and/or depression. However, significant changes in adolescent mental health and sleep outcomes at post-intervention were not observed. The usefulness of a therapist-supported online parenting programme in addressing a service gap for parents seeking professional help is indicated.
Trial registration: Australian New Zealand Clinical Trials Registry Number (ACTRN) 12618000290291, prospectively registered on 26 February 2018; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368031.

