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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]

Background/Aims We aimed to assess differences in patient management, and outcomes, of Australian and New Zealand patients admitted with a suspected or confirmed acute coronary syndrome ( ACS). Methods We used comprehensive data from the binational Australia and New Zealand ACS ' SNAPSHOT' audit, acquired on individual patients admitted between 00.00 h on 14 May 2012 to 24.00 h on 27 May 2012. Results There were 4387 patient admissions, 3381 (77%) in Australia and 1006 (23%) in New Zealand; Australian patients were slightly younger (67 vs 69 years, P = 0.0044). Of the 2356 patients with confirmed ACS, Australian patients were at a lower cardiovascular risk with a lower median Global Registry Acute Coronary Events score (147 vs 154 P = 0.0008), but as likely to receive an invasive coronary angiogram (58% vs 54%, P = 0.082), or revascularisation with percutaneous coronary intervention (32% vs 31%, P = 0.92) or coronary artery bypass graft surgery (7.0% vs 5.6%, P = 0.32). Of the 1937 non-segment elevation myocardial infarction/unstable angina pectoris ( NSTEMI/ UAP) patients, Australian patients had a shorter time to angiography (46 h vs 67 h, P < 0.0001). However, at discharge, Australian NSTEMI/ UAP survivors were less likely to receive aspirin (84% vs 89%, P = 0.0079, a second anti-platelet agent (57% vs 63%, P = 0.050) or a beta blocker (67% vs 77%, P = 0.0002). In-hospital death rates were not different (2.7% vs 3.2%, P = 0.55) between Australia and New Zealand. Conclusions Overall more similarities were seen, than differences, in the management of suspected or confirmed ACS patients between Australia and New Zealand. However, in several management areas, both countries could improve the service delivery to this high-risk patient group. [ABSTRACT FROM AUTHOR]

Background Myelodysplastic syndrome ( MDS), a haematological disorder of the elderly, has been formally classified as a neoplastic disease for 10 years. Aims Our aim was to collate national cancer registry incidence data to describe the epidemiology of MDS in New Zealand. Methods The New Zealand Cancer Registry has now reported five complete years of incidence data, the last three of which were used for analysis. For the years 2005-2007, age-sex specific and age-standardised MDS incidence rates from New Zealand were compared with those from Australia. Age-standardised incidence rates were calculated by the direct standardisation method and standardised rate ratios were compared at the 5, 1 and 0.1% levels. Results Diagnoses of MDS represented 1.3% of total cancer registrations in New Zealand and 1.0% in Australia. In both New Zealand and Australia, 86-87% of MDS cases were diagnosed in individuals ≥60 years of age, the incidence increased significantly with age, and males had a significantly higher age-standardised incidence rate ( P < 0.001) than females. The incidence rate for New Zealand males was significantly higher ( P < 0.001) than Australian males. In both New Zealand males and females, the age-standardised incidence rate of MDS was significantly higher ( P < 0.05) than most other haematological neoplasms. Conclusions In New Zealand and Australia, MDS is a common haematological neoplasm. The marked difference between male and female incidence rates, especially with advancing age, may provide insights into the causes of this disease. [ABSTRACT FROM AUTHOR]

Objective: Evidence indicates that medical graduates with a rural background are more likely to become rural doctors than those with an urban background (the rural background effect (RBE)). Exactly why this is so has rarely been studied. This study sought to identify the role of social, environmental and economic factors in addition to isolation characterising rural environments that either explain or modify the association between rural background and becoming a rural doctorrural practice intention. Design and setting: Secondary analysis of linked databases from the Medical Schools Outcomes Database (MSOD), Australian Bureau of Statistics and other government sources. Participants: Seven thousand four hundred twenty-two commencing medical students who took part in the MSOD survey and for whom external data could be linked. Results: No social, environmental or economic factor studied or isolation significantly contributed to explaining the RBE, although there is some evidence that areas of more attractive climate strengthen the RBE. However, even when the RBE is at its weakest, it remains a strong, positive predictor of attraction to rural practice. Conclusion: Why the RBE occurs remains unexplained. Evidence was found of a reduced RBE under certain climatic conditions and personal circumstances, but further work is required to better understand why rural background is so strongly related with rural medical intention and practice. [ABSTRACT FROM AUTHOR]

Time series analysis has seen limited application in the biomedical Literature. The utility of conventional and advanced time series estimators was explored for intensive care unit (ICU) outcome series. Monthly mean time series, 1993-2006, for hospital mortality, severity-of-illness score (APACHE III), ventilation fraction and patient type (medical and surgical), were generated from the Australia and New Zealand Intensive Care Society adult patient database. Analyses encompassed geographical seasonal mortality patterns, series structural time changes, mortality series volatility using autoregressive moving average and Generalized Autoregressive Conditional Heteroscedasticity models in which predicted variances are updated adaptively, and bivariate and multivariate (vector error correction models) cointegrating relationships between series. The mortality series exhibited marked seasonality, declining mortality trend and substantial autocorrelation beyond 24 lags. Mortality increased in winter months (July-August); the medical series featured annual cycling, whereas the surgical demonstrated long and short (3-4 months) cycling. Series structural breaks were apparent in January 1995 and December 2002. The covariance stationary first-differenced mortality series was consistent with a seasonal autoregressive moving average process; the observed conditional-variance volatility (1993-1995) and residual Autoregressive Conditional Heteroscedasticity effects entailed a Generalized Autoregressive Conditional Heteroscedasticity model, preferred by information criterion and mean model forecast performance. Bivariate cointegration, indicating long-term equilibrium relationships, was established between mortality and severity-of-illness scores at the database level and for categories of ICUs. Multivariate cointegration was demonstrated for {log APACHE III score, log ICU length of stay, ICU mortality and ventilation fraction}. A system approach to understanding series time-dependence may be established using conventional and advanced econometric time series estimators. [ABSTRACT FROM AUTHOR]