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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]

The article presents a best practice model that can be utilized by food system actors to assist with (re) building trust in the food system, before, during and after a food incident defined as 'any situation within the food supply chain where there is a risk or potential risk of illness or confirmed illness or injury associated with the consumption of a food or foods' (Commonwealth of Australia. National Food Incident Response Protocol. Commonwealth of Australia, Canberra, 2012). Interviews were undertaken with 105 actors working within the media, food industry and food regulatory settings across Australia, New Zealand (NZ) and the United Kingdom(UK). Interview data produced strategy statements, which indicated participant views on how to (re)build consumer trust in the food system. These included: (i) be transparent, (ii) have protocols and procedures in place, (iii) be credible, (iv) be proactive, (v) put consumers first, (vi) collaborate with stakeholders, (vii) be consistent, (viii) educate stakeholders and consumers, (ix) build your reputation and (x) keep your promises. A survey was designed to enable participants to indicate their agreement/disagreement with the ideas, rate their importance and provide further comment. The five strategies considered key to (re)building consumer trust were used to develop a model demonstrating best practice strategies for (re)building consumer trust in the food system before, during and after a food incident. In a world where the food system is increasingly complex, strategies for (re)building and fostering consumer trust are important. This study offers a model to do so which is derived from the views and experiences of actors working across the food industry, food regulation and the media. [ABSTRACT FROM AUTHOR]

Binge drinking is associated with deleterious health, social and economic outcomes. This study explored the lay understanding of the causes of binge drinking in members of the general public in the United Kingdom and Australia. Participants in the United Kingdom (N = 133) and Australia (N = 102) completed a network diagram exercise requiring them to draw causal paths and provide path strength ratings between 12 candidate factors (24-h opening, age, alcohol advertizing, alcohol availability, boredom, drinking culture, income, low cost, parental influence, peer pressure, stress and supermarket discounts) and binge drinking. Results indicated good consistency in paths across samples, although differences in frequency and strength ratings for some paths were found. Drinking culture, peer pressure and low alcohol cost were perceived as direct causes of binge drinking in both samples. Low alcohol cost and drinking culture weremost frequently viewed as direct causes of binge drinking in UK and Australian participants, respectively. Supermarket discounts and low cost of alcohol were most frequently viewed as indirect causes of binge drinking by UK and Australian samples. Findings reflect general awareness and prominence of factors affecting binge drinking in both national groups. Findings may inform the development of campaigns to promote public support policies to curb binge drinking. [ABSTRACT FROM AUTHOR]