The comparative mortality of an elite group in the long run of history: an observational analysis of politicians from 11 countries.

This study aims to compare the mortality rate and life expectancy of politicians with those of the age and gender-matched general populations. This was an observational analysis of mortality rates of politicians (i.e. members of national parliaments with available data on dates of birth, death and election, gender, and life tables) in 11 developed countries. Politicians were followed from date of first election until either death or the last available year with life table data. Relative mortality differences were estimated using standardised mortality ratios (SMRs). Absolute inequalities were quantified as the difference in survival by deducting a population's remaining life expectancy from politicians' remaining life expectancy at age 45, estimated using Gompertz parametric proportional hazards models. We included 57,561 politicians (with follow-up ranging from 1816-2016 for France to 1949-2017 for Germany). In almost all countries politicians had similar rates of mortality to the general population in the early part of the twentieth century. Relative mortality and survival differences (favouring politicians) increased considerably over the course of the twentieth century, with recent SMRs ranging from 0.45 (95%CI 0.41-0.50) in Italy to 0.82 (95%CI 0.69-0.95) in New Zealand. The peak life expectancy gaps ranged from 4.4 (95% CI, 3.5-5.4) years in the Netherlands to 7.8 (95% CI, 7.2-8.4) years in the US. Our results show large relative and absolute inequalities favouring politicians in every country. In some countries, such as the US, relative inequalities are at the greatest level in over 150 years.

Is disability exclusion associated with experiencing an unmet need for health care?

OBJECTIVE: To examine the association between disability exclusion and experiencing an unmet need for health care. METHODS: The 2015 Survey of Disability Ageing and Carers was used to measure the prevalence of unmet needs for health care stratified by measures of exclusion. Log-Poisson models were fitted to examine the association between discrimination, avoidance and unmet needs for health care. RESULTS: Approximately 10% of respondents reported an unmet need to attend a GP, specialist or hospital and 25% reported an unmet need to obtain dental treatment. For those reporting an instance of discrimination in the last 12 months, the rates of experiencing unmet needs for health care were significantly higher (GP 29%, specialist 26%, dental 46%, hospital 18%). With controls included, discrimination or avoidance significantly increased the probability of reporting an unmet need for health care regardless of the context of previous experiences of exclusion. CONCLUSION: Disability discrimination or avoidance is strongly associated with experiencing an unmet need for health care among older people with disabilities.

The cost-effectiveness of stepped care for the treatment of anxiety disorders in adults: A model-based economic analysis for the Australian setting.

OBJECTIVE: To evaluate the cost-effectiveness of stepped care compared to care as usual (CAU) for the treatment of adults with mild-to-moderate anxiety disorders from a health sector perspective in the Australian setting. METHOD: A decision tree model was constructed to estimate the cost per disability adjusted life year (DALY) averted over a 12-month time horizon. The model compared a three-step stepped care intervention to CAU. Stepped care included an initial phase of guided self-help, followed by face-to-face cognitive behavioural therapy, and pharmacotherapy as the final step. The model adopted a health sector perspective, used epidemiological parameters and disability weights obtained from the Global Burden of Disease Study 2013. Effect sizes were derived from a randomized trial of stepped care and a longitudinal cohort study. Costs were expressed in 2013 Australian dollars (A$). Multivariate probabilistic and univariate sensitivity analyses were performed. RESULTS: Stepped care was found to be cost-effective compared to CAU with an incremental cost-effective ratio of A$3093 per DALY averted. One-hundred percent of the uncertainty iterations fell below the A$50,000 per DALY averted willingness-to-pay threshold commonly used in Australia. The evaluation was most sensitive to changes in diagnosis rates and effect sizes. CONCLUSION: A three-step model of stepped care appears to be cost-effective for the treatment of adults with mild to moderate anxiety disorders from the Australian health sector perspective. These results can provide some assurance to decision-makers that stepped care represents an efficient use of health care resources.