We draw from the Health Technology Assessment (HTA) literature to propose how hospitals and local health networks can prepare the key components of early economic evaluations to support the development and management of health service interventions.

Using the case example of a proposed intervention for older people in the Emergency Department (ED), a conceptual logic model of a new health service intervention is articulated to inform the structuring and population of a decision-analytic model using observed data on the existing care comparator and structured elicitation exercise of initial stakeholder expectations of intervention effects.

The elicited patient pathway probabilities and lengths of stay quantities profile which of the existing types of patients are expected to avoid the ED and how this impacts the lengths of stay across the system. The exercise also quantifies the stakeholders’ uncertainty and disagreement, with qualitative insights into why. The elicitation exercise participants draw upon the rationale for how the intervention is expected to affect a change within the local context, as captured within the logic model, together with the descriptive analyses of the characteristics and utilization of their target population. Feedback indicates the methods are acceptably robust yet pragmatic enough for healthcare delivery settings.

As proposed in this paper, HTA methods can be used to capture how key stakeholders initially expect a service intervention to affect a change within their local context. The example results can be used in a decision-analytic model to guide the development and management of an intervention.

Repetitive transcranial magnetic stimulation (TMS) is an evidenced based treatment for adults with treatment resistant depression (TRD). The standard clinical protocol for TMS is to stimulate the left dorsolateral prefrontal cortex (DLPFC). Although the DLPFC is a defining region in the cognitive control network of the brain and implicated in executive functions such as attention and working memory, we lack knowledge about whether TMS improves cognitive function independent of depression symptoms. This exploratory analysis sought to address this gap in knowledge by assessing changes in attention before and after completion of a standard treatment with TMS in Veterans with TRD.

Participants consisted of 7 Veterans (14.3% female; age M = 46.14, SD = 7.15; years education M = 16.86, SD = 3.02) who completed a full 30-session course of TMS treatment and had significant depressive symptoms at baseline (Patient Health Questionnaire-9; PHQ-9 score >5). Participants were given neurocognitive assessments measuring aspects of attention [Wechsler Adult Intelligence Scale 4th Edition (WAIS-IV) subtests: Digits Forward, Digits Backward, and Number Sequencing) at baseline and again after completion of TMS treatment. The relationship between pre and post scores were examined using paired-samples t-test for continuous variables and a linear regression to covary for depression and posttraumatic stress disorder (PTSD), which is often comorbid with depression in Veteran populations.

There was a significant improvement in Digit Span Forward (p=.01, d=-.53), but not Digit Span Backward (p=.06) and Number Sequencing (p=.54) post-TMS treatment. Depression severity was not a significant predictor of performance on Digit Span Forward (f(1,5)=.29, p=.61) after TMS treatment. PTSD severity was also not a significant predictor of performance on Digit Span Forward (f(1,5)=1.31, p=.32).

Findings suggested that a standard course of TMS improves less demanding measures of working memory after a full course of TMS, but possibly not the more demanding aspects of working memory. This improvement in cognitive function was independent of improvements in depression and PTSD symptoms. Further investigation in a larger sample and with direct neuroimaging measures of cognitive function is warranted.

Lifetime trajectories of mental ill-health are often established during adolescence. Effective interventions to prevent the emergence of mental health problems are needed. In the current study we assessed the efficacy of the cognitive behavioural therapy (CBT)-informed Climate Schools universal eHealth preventive mental health programme, relative to a control. We also explored whether the intervention had differential effects on students with varying degrees of social connectedness.

We evaluated the efficacy of the Climate Schools mental health programme (19 participating schools; average age at baseline was 13.6) v. a control group (18 participating schools; average age at baseline was 13.5) which formed part of a large cluster randomised controlled trial in Australian schools. Measures of internalising problems, depression and anxiety were collected at baseline, immediately following the intervention and at 6-, 12- and 18-months post intervention. Immediately following the intervention, 2539 students provided data on at least one outcome of interest (2065 students at 18 months post intervention).

Compared to controls, we found evidence that the standalone mental health intervention improved knowledge of mental health, however there was no evidence that the intervention improved other mental health outcomes, relative to a control. Student's social connectedness did not influence intervention outcomes.

These results are consistent with recent findings that universal school-based, CBT-informed, preventive interventions for mental health have limited efficacy in improving symptoms of anxiety and depression when delivered alone. We highlight the potential for combined intervention approaches, and more targeted interventions, to better improve mental health outcomes.

The burden of disease attributable to alcohol and other drug (AOD) use in young people is considerable. Prevention can be effective, yet few programs have demonstrated replicable effects. This study aimed to replicate research behind Climate Schools: Alcohol and Cannabis course among a large cohort of adolescents.

Seventy-one secondary schools across three States participated in a cluster-randomised controlled trial. Year 8 students received either the web-based Climate Schools: Alcohol and Cannabis course (Climate, n = 3236), or health education as usual (Control, n = 3150). Outcomes were measured via self-report and reported here for baseline, 6- and 12-months for alcohol and cannabis knowledge, alcohol, cannabis use and alcohol-related harms.

Compared to Controls, students in the Climate group showed greater increases in alcohol- [standardised mean difference (SMD) 0.51, p < 0.001] and cannabis-related knowledge (SMD 0.49, p < 0.001), less increases in the odds of drinking a full standard drink[(odds ratio (OR) 0.62, p = 0.014], and heavy episodic drinking (OR 0.49, p = 0.022). There was no evidence for differences in change over time in the odds of cannabis use (OR 0.57, p = 0.22) or alcohol harms (OR 0.73, p = 0.17).

The current study provides support for the effectiveness of the web-based Climate Schools: Alcohol and Cannabis course in increasing knowledge and reducing the uptake of alcohol. It represents one of the first trials of a web-based AOD prevention program to replicate alcohol effects in a large and diverse sample of students. Future research and/or adaptation of the program may be warranted with respect to prevention of cannabis use and alcohol harms.