A feasibility, randomised controlled trial of Club Connect: a group-based healthy brain ageing cognitive training program for older adults with major depression within an older people's mental health service.

BACKGROUND: Using the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, we outline steps taken to implement an evidence-based cognitive training program, Club Connect, in older adults with major depressive disorder in an Older People's Mental Health Service in Sydney, Australia. The primary aim was to explore feasibility (or 'reach'), tolerability (or 'implementation'), and acceptability (or 'adoption'). The secondary aim was to explore the most sensitive clinical outcomes and measurement tools (i.e. 'effectiveness') to inform a formal randomised controlled trial, and to explore the healthcare resources used (i.e. costs) to assist decision-making by health care managers and policy-makers in relation to future resource allocation. METHODS: Using a single blinded feasibility design, 40 participants (mean age: 76.13 years, SD: 7.45, range: 65-95 years) were randomised to either (a) Club Connect, a 10-week group-based multifaceted program, comprising psychoeducation and computer-based cognitive training, or (b) a waitlist control group. RESULTS: Implementing group-based cognitive training within a clinical setting was feasible, well tolerated and accepted by participants. Further, cognitive training, in comparison to the waiting list control, was associated with moderate to very large effect size improvements in depression, stress and inhibition (ηp2 = 0.115-0.209). We also found moderate effect size improvements on measures of daily functioning, wellbeing and cognitive flexibility. Small effect size improvements for other cognitive and psychosocial outcomes were also observed. The average cost per person participating in in the intervention was AU$607.50. CONCLUSIONS: Our findings support the feasibility of implementing group-based cognitive training into a specialised clinical (public health) setting. This trial was registered on the Australian and New Zealand Clinical Trial Registry (ACTRN12619000195156, 12/02/2019).

Application of next-generation sequencing to improve cancer management: A review of the clinical effectiveness and cost-effectiveness.

Uptake of next-generation sequencing (NGS) has increased dramatically due to significant cost reductions and broader community acceptance of NGS. To systematically review the evidence on both the clinical effectiveness and the cost-effectiveness of applying NGS to cancer care. A systematic search for full-length original research articles on the clinical effectiveness and cost-effectiveness of NGS in MEDLINE and EMBASE. Articles that focussed on cancer care and involved the application of NGS were included for the review of clinical effectiveness. For the cost-effectiveness review, we only included the articles with economic evaluations of NGS in cancer care. We report the rate of successfully detecting mutations from the clinical studies. The incremental cost-effectiveness ratio and sensitivity analysis outcomes are reported for the cost-effectiveness articles. Fifty-six articles reported that sequencing patient samples using targeted gene panels, and 83% of the successfully sequenced patients harboured at least 1 mutation. Only 6 studies reported on the cost-effectiveness of the application of NGS in cancer care. NGS is an effective tool for identifying mutation in cancer patients. However, more rigorous cost-effectiveness studies of NGS applied to cancer management are needed to determine whether NGS can improve patient outcomes cost-effectively.

Factors associated with the health care cost in older Australian women with arthritis: an application of the Andersen's Behavioural Model of Health Services Use.

OBJECTIVE: Factors associated with the utilisation of health care have not been rigorously examined in people with arthritis. The objective of this study was to examine the determinants of health care utilisation and costs in older women with arthritis using the Andersen's behavioural model as a framework. STUDY DESIGN: Longitudinal cohort study. METHODS: Participants of Surveys 3 to 5 of the Australian Longitudinal Study on Women's Health who reported arthritis were included in the study. Information about health care utilisation and unit prices were based on linked Medicare Australia data, which included prescription medicines and health services. Total health care costs of participants with arthritis were measured for the years 2002 to 2003, 2005 to 2006, and 2008 to 2009, which corresponded to the survey years. Potential explanatory variables of the health care cost and other characteristics of the participants were collected from the health surveys. Explanatory variables were grouped into predisposing characteristics, enabling factors and need variables conforming to the Andersen's Behavioural Model of Health Services Use. Longitudinal data analysis was conducted using generalized estimating equations. RESULTS: A total of 5834 observations were included for the three periods. Regression analysis results show that higher health care cost in older Australian women with arthritis was significantly associated with residing in an urban area, having supplementary health insurance coverage, more comorbid conditions, using complementary and alternative medicine, and worse physical functioning. It was also found that predisposing characteristics (such as the area of residence) and enabling factors (such as health insurance coverage) accounted for more variance in the health care cost than need variables (such as comorbid conditions). CONCLUSION: These results may indicate an inefficient and unfair allocation of subsidised health care among older Australian women with arthritis, where individuals with less enabling resources and more socio-economic disadvantages have a lower level of health care utilisation. Future research may focus on evaluating the effectiveness of policies designed to reduce excessive out-of-pocket costs and to improve equity in health care access in the older population.

Translating evidence-based treatment for digital health delivery: a protocol for family-based treatment for anorexia nervosa using telemedicine.

BACKGROUND: Family-based treatment (FBT) is an efficacious outpatient intervention for young people diagnosed with Anorexia Nervosa (AN). To date, treatment to protocol has relied on standard face-to-face delivery. Face-to-face therapy is subject to geographic, temporal and human factors, rendering it particularly susceptible to inequities and disruption. This has resulted in poorer service provision for rural and regional families, and recently a significant challenge to providing face-to-face services during the COVID-19 global pandemic. The present study examines whether FBT for AN can be successfully translated to a digital delivery platform to address these access issues. METHOD: Forty young people aged 12 to 18 years who meet DSM-5 diagnostic criteria for AN, and live in a rural or regional setting, will along with their family be recruited to the study. Trained therapists will provide 18 sessions of FBT over 9 months via telemedicine to the home of the young person and their family. The analysis will examine treatment effectiveness, feasibility, acceptability, and cost-effectiveness. DISCUSSION: The study addresses the treatment needs of families not able to attend face-to-face clinical services for evidence-based treatment for eating disorders. This might be due to several barriers, including a lack of local services or long travel distances to services. There has been a recent and unprecedented demand for telemedicine to facilitate the continuity of care during COVID-19 despite geographical circumstances. If delivering treatment in this modality is clinically and economically effective and feasible, it will facilitate access to potentially lifesaving, evidence-based treatments for families formerly unable to access such care and provide evidence for the continuity of services when and where face-to-face treatment is not feasible.