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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]

Although we do know that out-of-pocket healthcare expenditure is relatively high in Australia, little is known about what health conditions are associated with the highest out-of-pocket expenditure, and whether the cost of healthcare acts as a barrier to care for people with different chronic conditions. Cross-sectional analysis using linear and logistic regression models applied to the Commonwealth Fund international health policy survey of adults aged 18 years and over was conducted in 2013. Adults with asthma, emphysema and chronic obstructive pulmonary disease (COPD) had 109% higher household out-of-pocket healthcare expenditure than did those with no health condition (95% CI: 50-193%); and adults with depression, anxiety and other mental health conditions had 95% higher household out-of-pocket expenditure (95% CI: 33-187%). People with a chronic condition were also more likely to forego care because of cost. People with depression, anxiety and other mental health conditions had 7.65 times higher odds of skipping healthcare (95% CI: 4.13-14.20), and people with asthma, emphysema and chronic obstructive pulmonary disease had 6.16 times higher odds of skipping healthcare (95% CI: 3.30-11.50) than did people with no health condition. People with chronic health conditions in Canada, the United Kingdom, Germany, France, Norway, Sweden and Switzerland were all significantly less likely to skip healthcare because of cost than were people with a condition in Australia. The out-of-pocket cost of healthcare in Australia acts as a barrier to accessing treatment for people with chronic health conditions, with people with mental health conditions being likely to skip care. Attention should be given to the accessibility and affordability of mental health services in Australia. [ABSTRACT FROM AUTHOR]