Conducting Trial-Based Economic Evaluations Using R: A Tutorial.

Trial-based economic evaluations are increasingly being conducted to support healthcare decision-making. When analysing trial-based economic evaluation data, different methodological challenges may be encountered, including (i) missing data, (ii) correlated costs and effects, (iii) baseline imbalances and (iv) skewness of costs and/or effects. Despite the broad range of methods available to account for these methodological challenges in effectiveness studies, they may not always be directly applicable in trial-based economic evaluations where costs and effects are analysed jointly, and more than one methodological challenge typically needs to be addressed simultaneously. The use of inappropriate methods can bias results and conclusions regarding the cost-effectiveness of healthcare interventions. Eventually, such low-quality evidence can hamper healthcare decision-making, which may in turn result in a waste of already scarce healthcare resources. Therefore, this tutorial aims to provide step-by-step guidance on how to combine appropriate statistical methods for handling the abovementioned methodological challenges using a ready-to-use R script. The theoretical background of the described methods is provided, and their application is illustrated using a simulated trial-based economic evaluation.

Cost-effectiveness of care for people with psychosis in the community and psychiatric hospitals in the Czech Republic: an economic analysis.

BACKGROUND: The absence of economic evidence hinders current reforms of hospital-based mental health systems in central and eastern Europe. We aimed to assess the cost-effectiveness of discharge to community care for people with chronic psychoses compared with care in psychiatric hospitals in the Czech Republic. METHODS: We did a prospective study of people aged 18-64 years with chronic psychotic disorders in the Czech Republic who had been discharged into community services or were receiving inpatient psychiatric care for at least 3 months at baseline. We measured health-related quality of life with the EuroQol five-dimension five-level questionnaire. Adjusting for baseline differences between the two groups, we assessed differences in societal costs in 2016 and quality-adjusted life-years (QALYs) during a 12-month follow-up, which we then used to estimate the incremental cost-effectiveness ratio (ICER). We did multiple sensitivity analyses to assess the robustness of our results. FINDINGS: In our baseline case scenario, we included 115 patients who were either community service users (n=35) or inpatients (n=80) at baseline. The two groups were similar in terms of baseline characteristics. The annual QALY was 0·77 in patients receiving community care at baseline compared with 0·80 in patients in hospital at baseline (difference 0·03, 95% CI -0·04 to 0·10), but the costs of discharge to the community were €8503 compared with €16 425 for no discharge (difference €7922, 95% CI 4497-11 346), such that the ICER reached more than €250 000 per QALY. This ICER is substantially higher than levels that are conventionally considered to be cost-effective and the estimated probability that discharge to the community was cost-effective was very high (≥97%). None of the sensitivity analyses changed these results qualitatively. INTERPRETATION: This study provides economic evidence for deinstitutionalisation by showing that discharge to community care is cost-effective compared with care in psychiatric hospitals in the Czech Republic. These findings add to the human rights and clinical-based arguments for mental health-care reforms in central and eastern Europe. FUNDING: Ministry of Education, Youth and Sports of the Czech Republic; EEA and Norway Grants.

Value of schizophrenia treatment II: Decision modelling for developing early detection and early intervention services in the Czech Republic.

BACKGROUND: Positive findings on early detection and early intervention services have been consistently reported from many different countries. The aim of this study, conducted within the European Brain Council project "The Value of Treatment", was to estimate costs and the potential cost- savings associated with adopting these services within the context of the Czech mental health care reform. METHODS: Czech epidemiological data, probabilities derived from meta-analyses, and data on costs of mental health services in the Czech Republic were used to populate a decision analytical model. From the health care and societal perspectives, costs associated with health care services and productivity lost were taken into account. One-way sensitivity analyses were conducted to explore the uncertainty around the key parameters. RESULTS: It was estimated that annual costs associated with care as usual for people with the first episode of psychosis were as high as 46 million Euro in the Czech Republic 2016. These annual costs could be reduced by 25% if ED services were adopted, 33% if EI services were adopted, and 40% if both, ED and EI services, were adopted in the country. Cost-savings would be generated due to decreased hospitalisations and better employment outcomes in people with psychoses. CONCLUSIONS: Adopting early detection and early intervention services in mental health systems based on psychiatric hospitals and with limited access to acute and community care could generate considerable cost- savings. Although the results of this modelling study needs to be taken with caution, early detection and early intervention services are recommended for multi-centre pilot testing accompanied by full economic evaluation in the region of Central and Eastern Europe.