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Objective: To examine the impact and cost associated with mental illness. Methods: A rapid review of the literature from Australia, New Zealand, UK and Canada was undertaken. The review included literature pertaining to the cost-of-illness and impact of mental illness as well as any modelling studies. Included studies were categorised according to impact on education, labour force engagement, earlier retirement or welfare dependency. The well-accepted Drummond 10-point economic appraisal checklist was used to assess the quality of the studies. Results: A total of 45 methodologically diverse studies were included. The studies highlight the significant burden mental illness places on all facets of society, including individuals, families, workplaces and the wider economy. Mental illness results in a greater chance of leaving school early, a lower probability of gaining full-time employment and a reduced quality of life. Research from Canada suggests that the total economic costs associated with mental illness will increase six-fold over the next 30 years with costs likely to exceed A$2.8 trillion (based on 2015 Australian dollars). Conclusions: Mental illness is associated with a high economic burden. Further research is required to develop a better understanding of the trajectory and burden of mental illness so that resources can be directed towards cost-effective interventions. What is known about the topic?: Although mental illness continues to be one of the leading contributors to the burden of disease, there is limited information on the economic impact that mental illness imposes on individuals, families, workplaces and the wider economy. What does this paper add?: This review provides a summary of the economic impact and cost of mental illness. The included literature highlights the significant burden mental illness places on individuals, families, workplaces, society and the economy in general. The review identified several areas for improvement. For example, only limited information is available on the impact of attention deficit hyperactivity disorder, anxiety, cognitive function, conduct disorder, eating disorder and psychological distress. There was also a dearth of evidence on the intangible elements of pain and suffering of people and their families with depressive disorders. More research is required to better understand the full extent of the impact of mental illness and strategies that may be implemented to minimise this harm. What are the implications for practitioners?: Knowing the current and future impact of mental illness highlights the imperative to develop an effective policy response. [ABSTRACT FROM AUTHOR]

Introduction: Quality of life is included in the economic evaluation of health services by measuring the preference for health states, i.e. health state utilities. However, most intervention studies include a disease-specific, not a utility, instrument. Consequently, there has been increasing use of statistical mapping algorithms which permit utilities to be estimated from a disease-specific instrument. The present paper provides such algorithms between the MacNew Heart Disease Quality of Life Questionnaire (MacNew) instrument and six multi-attribute utility (MAU) instruments, the Euroqol (EQ-5D), the Short Form 6D (SF-6D), the Health Utilities Index (HUI) 3, the Quality of Wellbeing (QWB), the 15D (15 Dimension) and the Assessment of Quality of Life (AQoL-8D). Methods: Heart disease patients and members of the healthy public were recruited from six countries. Non-parametric rank tests were used to compare subgroup utilities and MacNew scores. Mapping algorithms were estimated using three separate statistical techniques. Results: Mapping algorithms achieved a high degree of precision. Based on the mean absolute error and the intra class correlation the preferred mapping is MacNew into SF-6D or 15D. Using the R squared statistic the preferred mapping is MacNew into AQoL-8D. Implications for research: The algorithms reported in this paper enable MacNew data to be mapped into utilities predicted from any of six instruments. This permits studies which have included the MacNew to be used in cost utility analyses which, in turn, allows the comparison of services with interventions across the health system. [ABSTRACT FROM AUTHOR]