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Background the mySupport advance care planning intervention was originally developed and evaluated in Northern Ireland (UK). Family caregivers of nursing home residents with dementia received an educational booklet and a family care conference with a trained facilitator to discuss their relative's future care. Objectives to investigate whether upscaling the intervention adapted to local context and complemented by a question prompt list impacts family caregivers' uncertainty in decision-making and their satisfaction with care across six countries. Second, to investigate whether mySupport affects residents' hospitalisations and documented advance decisions. Design a pretest–posttest design. Setting in Canada, the Czech Republic, Ireland, Italy, the Netherlands and the UK, two nursing homes participated. Participants in total, 88 family caregivers completed baseline, intervention and follow-up assessments. Methods family caregivers' scores on the Decisional Conflict Scale and Family Perceptions of Care Scale before and after the intervention were compared with linear mixed models. The number of documented advance decisions and residents' hospitalisations was obtained via chart review or reported by nursing home staff and compared between baseline and follow-up with McNemar tests. Results family caregivers reported less decision-making uncertainty (−9.6, 95% confidence interval: −13.3, −6.0, P  < 0.001) and more positive perceptions of care (+11.4, 95% confidence interval: 7.8, 15.0; P  < 0.001) after the intervention. The number of advance decisions to refuse treatment was significantly higher after the intervention (21 vs 16); the number of other advance decisions or hospitalisations was unchanged. Conclusions the mySupport intervention may be impactful in countries beyond the original setting. [ABSTRACT FROM AUTHOR]

Summary: We identified demographic, health and lifestyle factors associated with falls in adults aged 50–64 years from Australia, The Netherlands, Great Britain and Ireland. Nearly all factors were associated with falls, but there were differences between countries and between men and women. Existing falls prevention programs may also benefit middle-aged adults. Introduction: Between ages 40–44 and 60–64 years, the annual prevalence of falls triples suggesting that middle age may be a critical life stage for preventive interventions. We aimed to identify demographic, health and lifestyle factors associated with falls in adults aged 50–64 years. Methods: Harmonised data were used from four population-based cohort studies based in Australia (Australian Longitudinal Study on Women's Health, n = 10,641, 51–58 years in 2004), Ireland (The Irish Longitudinal Study on Ageing, n = 4663, 40–64 years in 2010), the Netherlands (Longitudinal Ageing Study Amsterdam, n = 862, 55–64 years in 2012–13) and Great Britain (MRC National Survey of Health and Development, n = 2987, 53 years in 1999). Cross-sectional and prospective associations of 42 potential risk factors with self-reported falls in the past year were examined separately by cohort and gender using logistic regression. In the absence of differences between cohorts, estimates were pooled using meta-analysis. Results: In cross-sectional models, nearly all risk factors were associated with fall risk in at least one cohort. Poor mobility (pooled OR = 1.71, CI = 1.34–2.07) and urinary incontinence (OR range = 1.53–2.09) were consistently associated with falls in all cohorts. Findings from prospective models were consistent. Statistically significant interactions with cohort and sex were found for some of the risk factors. Conclusion: Risk factors known to be associated with falls in older adults were also associated with falls in middle age. Compared with findings from previous studies of older adults, there is a suggestion that specific risk factors, for example musculoskeletal conditions, may be more important in middle age. These findings suggest that available preventive interventions for falls in older adults may also benefit middle-aged adults, but tailoring by age, sex and country is required. [ABSTRACT FROM AUTHOR]

Objectives To measure changes in prevalence and predictors of home smoking bans (HSBs) among smokers in four European countries after the implementation of national smoke-free legislation. Design Two waves of the International Tobacco Control Policy Evaluation Project Europe Surveys, which is a prospective panel study. Pre- and post-legislation data were used from Ireland, France, Germany and the Netherlands. Two pre-legislation waves from the UK were used as control. Participants 4634 respondents from the intervention countries and 1080 from the control country completed both baseline and follow-up and were included in the present analyses. Methods Multiple logistic regression models to identify predictors of having or of adopting a total HSB, and Generalised Estimating Equation models to compare patterns of change after implementation of smoke-free legislation to a control country without such legislation. Results Most smokers had at least partial smoking restrictions in their home, but the proportions varied significantly between countries. After implementation of national smoke-free legislation, the proportion of smokers with a total HSB increased significantly in all four countries. Among continuing smokers, the number of cigarettes smoked per day either remained stable or decreased significantly. Multiple logistic regression models indicated that having a young child in the household and supporting smoking bans in bars were important correlates of having a pre-legislation HSB. Prospective predictors of imposing a HSB between survey waves were planning to quit smoking, supporting a total smoking ban in bars and the birth of a child. Generalised Estimating Equation models indicated that the change in total HSB in the intervention countries was greater than that in the control country. Conclusions The findings suggest that smoke-free legislation does not lead to more smoking in smokers' homes. On the contrary, our findings demonstrate that smoke-free legislation may stimulate smokers to establish total smoking bans in their homes. [ABSTRACT FROM AUTHOR]