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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]

Objective This paper examines how negative experiences with the health-care system create a lack of confidence in receiving medical care in seven countries: Australia, Canada, Germany, the Netherlands, New Zealand, the United Kingdom, and the United States. Methods The empirical analysis is based on data from the Commonwealth Fund International Health Policy Survey 2007, with nationally representative samples of adults aged 18 and over. For the analysis of the experience of cost barriers and confidence in receiving medical care, we conducted pairwise comparisons of group percentages as well as country-wise multivariate logistic regression models. Results Individuals who have experienced cost barriers show a significantly lower level of confidence in receiving safe and quality medical care than those who have not. This effect is most pronounced in the United States, where people who have foregone necessary treatment because of costs are four times as likely to lack confidence as individuals without the experience of cost barriers (adjusted odds ratio 4.00). In New Zealand, Germany, and Canada, individuals with the experience of cost barriers are twice as likely to report low confidence compared with those without this experience (adjusted odds ratios of 1.95, 2.19 and 2.24, respectively). In the Netherlands and UK, cost barriers are only a marginal phenomenon. Conclusions The fact that the experience of financial barriers considerably lowers confidence indicates that financial incentives, such as private co-payments, have a negative effect on overall public support and therefore on the legitimacy of health-care systems. [ABSTRACT FROM AUTHOR]