This new algorithm will enable the Australian community values to be reflected in future economic evaluations.

DCEs are a feasible approach to the estimation of utility weights for more complex multi-attribute utility instruments such as the EQ-5D-5L.

Differences in methods may obscure true differences in values between countries. Nevertheless, population-specific valuation sets for countries engaging in economic evaluation would better reflect cultural differences and are therefore more likely to accurately represent societal attitudes.

Conventionally, generic quality-of-life health states, defined within multi-attribute utility instruments, have been valued using a Standard Gamble or a Time Trade-Off. Both are grounded in expected utility theory but impose strong assumptions about the form of the utility function. Preference elicitation tasks for both are complicated, limiting the number of health states that each respondent can value and, therefore, that can be valued overall. The usual approach has been to value a set of the possible health states and impute values for the remainder. Discrete Choice Experiments (DCEs) offer an attractive alternative, allowing investigation of more flexible specifications of the utility function and greater coverage of the response surface. We designed a DCE to obtain values for EQ-5D health states and implemented it in an Australia-representative online panel (n = 1,031). A range of specifications investigating non-linear preferences with respect to time and interactions between EQ-5D levels were estimated using a random-effects probit model. The results provide empirical support for a flexible utility function, including at least some two-factor interactions. We then constructed a preference index such that full health and death were valued at 1 and 0, respectively, to provide a DCE-based algorithm for Australian cost-utility analyses.

s. DCEs can be used to investigate preferences for health profiles and to estimate utility weights for multi-attribute utility instruments. Australian cost-utility analyses can now use domestic SF-6D weights. The comparability of DCE results to those using other elicitation methods for estimating utility weights for quality-adjusted life-year calculations should be further investigated.

This comparison demonstrates that variability arising from mode of administration needs to be considered in developing health state valuations. While electronic administration has considerable cost advantages, particular attention to the design of the task is required. This has wider implications, as all modes of administration may have mode-specific impacts on the distribution of valuation responses.

Background All countries experienced social and economic disruption and threats to health security from the COVID-19 pandemic in 2020, but the responses in terms of control measures varied considerably. While control measures, such as quarantine, lockdown and social distancing, reduce infections and infection-related deaths, they have severe negative economic and social consequences. Objectives The objective of this study was to explore the acceptability of different infectious disease control measures, and examine how respondents trade off between economic and health outcomes. Methods A discrete choice experiment was developed, with attributes covering: control restrictions, duration of restrictions, tracking, number of infections and of deaths, unemployment, government expenditure and additional personal tax. A representative sample of Australians ( n = 1046) completed the survey, which included eight choice tasks. Data were analysed using mixed logit regression to identify heterogeneity and latent class models to examine heterogeneity. Results In general, respondents had strong preferences for policies that avoided high infection-related deaths, although lower unemployment and government expenditure were also considered important. Respondents preferred a shorter duration for restrictions, but their preferences did not vary significantly for the differing levels of control measures. In terms of tracking, respondents preferred mobile phone tracking or bracelets when compared to no tracking. Significant differences in preferences was identified, with two distinct classes: Class 1 (57%) preferred the economy to remain open with some control measures, whereas Class 2 (43%), had stronger preferences for policies that reduced avoidable deaths. Conclusions This study found that the Australian population is willing to relinquish some freedom, in the short term, and trade off the negative social and economic impacts of the pandemic, to avoid the negative health consequences. Supplementary Information The online version contains supplementary material available at 10.1007/s40271-021-00503-5.

This study examined the types of goals set, the degree to which goals were achieved, and the factors influencing goal attainment for participants in a Recovery College, a recovery-based mental health education program that uses peer learning advisors to facilitate individual student learning plans. Method: Students of the Recovery College set baseline goals that were rated in terms of importance and difficulty in line with the Goal Attainment Scale (GAS) framework and reviewed at follow-up points. Goals were reviewed to determine areas of priority and an analysis of goal attainment was conducted using multinomial logit regression analysis. Results: Sixty-four students recorded their goals. The most common goal areas identified related to education, socialization, physical health, mental health, and employment. Seventy percent of goals were fully or partially achieved with goals rated as having a lower difficulty more likely to be achieved. Conclusion and Implications for Practice: Recovery College is a program model that can effectively support personal goal achievement, a recommended indicator of personal recovery and program success. The GAS proved to be a useful instrument for measuring goal setting and attainment in students' recovery journeys and peer learning advisors were effective in facilitating this process. The setting and achievement of physical health goals is of clinical significance. Impact and ImplicationsThis study builds on limited published evidence demonstrating the important role that Recovery Colleges play in supporting participants to identify and achieve their personal goals. Further, it highlights the contribution that peer workers can make to this process, in keeping with the coproduction philosophy of the Recovery College model.