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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]

Background/aim The successful development and maintenance of professional identity is associated with professional development and retention in the health workforce. This paper explores students' perspectives on the ways pre-entry experiences and curricula content shape professional identity. Methods An online cross-sectional survey was sent to students enrolled in the final year of entry-level programmes in five countries. Descriptive statistical analyses of data were completed. Results The results reflect the perceptions of 319 respondents from five countries. Respondents identified professional education (98%) and professional socialisation during placement (92%) as curricula components with the greatest influence on professional identity formation. Discipline-specific knowledge such as, occupation-focussed models and occupational science were ranked lower than these aspects of practice. The students' length of programme and level of entry-level programme did not impact on these results. Conclusion When designing curricula educators need to be mindful that students perceive practice education and professional socialisation have the greatest affect on professional identity formation. The findings reinforce the need for curricula to provide students with a range of practice experiences, which allow the observation and application of occupation-based practices. It highlights a need for educators to provide university-based curricula activities, which better prepare students for a potential dissonance between explicit occupation-based curricula and observed practice education experiences. The study indicates the need for further research into the role curricula content, and in particular practice education, plays in the multidimensional formation of professional development within entry-level programmes. [ABSTRACT FROM AUTHOR]

Understanding users' individual differences may provide clues to help identify computer users who are prone to act insecurely. We examine factors that impact home users' reported computer security behaviour. We conducted two online surveys with a total of 650 participants to investigate the relationship between self-reported security behaviour and users' knowledge, motivation, confidence, risk propensity and sex-typed characteristics. We found that all of these factors impacted security behaviour, with knowledge as the most important predictor. We further show that a user's affinity to feminine or masculine characteristics is a better determinant of security behaviour than using binary male/female descriptors. Our study enabled us to confirm earlier results in the literature in a non-organisational setting, and to extend the literature by studying additional factors and by comparing the relative importance of each factor as a predictor of security behaviour. [ABSTRACT FROM AUTHOR]