The Cost-Effectiveness of Psychosocial Interventions Following Self-Harm in Australia.

Background: Psychosocial interventions following self-harm in adults, in particular cognitive behavioral therapy (CBT), can be effective in lowering the risk of repeated self-harm. Aims: To evaluate the cost-effectiveness of CBT for reducing repeated self-harm in the Australian context. Method: The current study adopted the accessing cost-effectiveness (ACE) approach using return-on-investment (ROI) analysis. Uncertainty and sensitivity analyses (Sas) tested the robustness of the model outputs to changes in three assumptions: general practitioner referral pathway (SA1), private setting intervention delivery (SA2), and training costs (SA3). Results: The intervention produced cost savings of A$ 46M (95% UI -223.7 to 73.3) and A$ 18.3M (95% UI -86.2 to 24.6), subject to the effect of intervention lasting 2- or 1-year follow-up. The ROI ratio reduced to 5.22 in SA1 (95% UI -10.1 to 27.9), 2.5 in SA2 (95% UI -4.8 to 13.3), and 5.1 in SA3 (95% UI -9.8 to 27.8). Limitations: We assumed that the effectiveness would reduce 50% within 5 years in the base case, and we used Australian data and a partial social perspective. Conclusions: The current study demonstrated cost-effectiveness of CBT for adults who have self-harmed with the return-on-investment ratio of A$ 2.3 to $6.0 for every A$ 1 invested.

Modeled health economic and equity impact on dental caries and health outcomes from a 20% sugar sweetened beverages tax in Australia.

Dental caries is the most prevalent oral disease across the life course. This study modeled the population health and economic impact of a 20% sugar sweetened beverages tax (SSB) for preventing dental caries compared to no intervention (societal and healthcare perspective). A cost-effectiveness analysis according to quintiles of area-level socioeconomic disadvantage was performed for the 2020 Australian population (0-100 years old) using a closed cohort Markov model. A qualitative assessment of implementation considerations (e.g., acceptability, equity, sustainability) was undertaken. Health outcomes were modeled as decayed teeth prevented and disability-adjusted life years (DALYs) averted. The 10-year and lifetime scenarios were modeled with probabilistic sensitivity analysis (Monte Carlo simulation, 2000 cycles). The 10-year scenario from a societal perspective yielded cost-savings of AUD$63.5M, healthcare cost-savings of AUD$42.2M, 510,977 decayed teeth averted and 98.1 DALYs averted. The lifetime scenario resulted in societal cost savings of AUD$176.6M, healthcare cost-savings of AUD$122.5M, 1,309,211 decayed teeth averted and 254.9 DALYs averted. Modeling indicated 71.5% and 74.5% cost-effectiveness for the 10-year and lifetime scenarios, respectively. A three-fold health benefit for the least advantaged was found compared to the most advantaged. A 20% SSB tax in Australia is cost-effective and promotes health equity.

Mental health systems modelling for evidence-informed service reform in Australia.

Australia's Fifth National Mental Health Plan required governments to report, not only on the progress of changes to mental health service delivery, but to also plan for services that should be provided. Future population demand for treatment and care is challenging to predict and one solution involves modelling the uncertain demands on the system. Modelling can help decision-makers understand likely future changes in mental health service demand and more intelligently choose appropriate responses. It can also support greater scrutiny, accountability and transparency of these processes. Australia has an emerging national capacity for systems modelling in mental health which can enhance the next phase of mental health reform. This paper introduces concepts useful for understanding mental health modelling and identifies where modelling approaches can support health service planners to make evidence-informed decisions regarding planning and investment for the Australian population.

Critical measurement issues in the assessment of social media influence on body image.

Progress towards understanding how social media impacts body image hinges on the use of appropriate measurement tools and methodologies. This review provides an overview of common (qualitative, self-report survey, lab-based experiments) and emerging (momentary assessment, computational) methodological approaches to the exploration of the impact of social media on body image. The potential of these methodologies is detailed, with examples illustrating current use as well as opportunities for expansion. A key theme from our review is that each methodology has provided insights for the body image research field, yet is insufficient in isolation to fully capture the nuance and complexity of social media experiences. Thus, in consideration of gaps in methodology, we emphasise the need for big picture thinking that leverages and combines the strengths of each of these methodologies to yield a more comprehensive, nuanced, and robust picture of the positive and negative impacts of social media.