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Background: cross-national comparisons can be used to explore therapeutic areas and identify potential medication issues. Methods: we used cross-sectional pharmacy supply data to explore medication use for nursing home residents in Australia (AU n = 26 homes, 1,560 residents) and the Netherlands (NL n = 6 homes, 2,037 residents). Binary logistic regression analysis was used to calculate the sex and aged adjusted odds ratios (OR) and associated 95% confidence intervals with a flexible Bonferroni-Holm procedure used to adjust for multiple hypothesis testing. Results: total use of antipsychotics (AU: 37.7%, NL: 40.3%; OR 0.91 (0.79-1.04, P = 0.16) and antibacterials (66.8% AU, 62.4% NL, OR 1.08 (0.93-1.24, P = 0.31) was similar, but choice of individual agents differed between the two countries. Differences were observed in the use of antithrombotics (46.7% AU, 64.7% NL, OR 0.48 (0.42-0.56, P > 0.01), ophthal-mologicals (44.3% AU, 22.1% NL, OR 2.80 (2.42-3.24, P < 0.001), laxatives (77.1% AU, 65.8% NL, OR 1.65 (1.41-1.92, P< 0.001). Conclusion: while the general prevalence of medication use in nursing home residents was similar across the two countries, distinct differences existed in the choice of agent among therapeutic groups. Comparing use between countries identified a number of potential medication related problem areas that need further exploration. [ABSTRACT FROM AUTHOR]

Purpose: This study tested the milk flow rates and variability in flow of currently available nipples used for bottle-feeding infants who are hospitalized. Method: Clinicians in 3 countries were surveyed regarding nipples available to them for feeding infants who are hospitalized. Twenty-nine nipple types were identified, and 10 nipples of each type were tested by measuring the amount of infant formula expressed in 1 min using a breast pump. Mean milk flow rate (mL/min) and coefficient of variation were used to compare nipples within brand and within category (i.e., Slow, Standard, Premature). Results: Flow rates varied widely between nipples, ranging from 2.10 mL/min for the Enfamil Cross-Cut to 85.34 mL/min for the Dr. Brown’s Y-Cut Standard Neck. Variability of flow rates among nipples of the same type ranged from a coefficient of variation of 0.05 for Dr. Brown’s Level 1 Standard- and Wide-Neck to 0.42 for the Enfamil CrossCut. Mean coefficient of variation by brand ranged from 0.08 for Dr. Brown’s to 0.36 for Bionix. Conclusions: Milk flow is an easily manipulated variable that may contribute to the degree of physiologic instability experienced by infants who are medically fragile during oral feeding. This study provides clinicians with information to guide appropriate selection of bottle nipples for feeding infants who are hospitalized [ABSTRACT FROM AUTHOR]

To investigate the cross-national relevance of community health promotion, this paper compared community variation in alcohol use and risk and protective factors for adolescents in Australia (State of Victoria, 2009) and the Netherlands (2007/2008). Multi-level analyses examined community variation in heavy episodic (binge) alcohol use [≥5 drinks in a session ≥once in the prior fortnight (>63 ml of ethanol)] and associations with predictors. Representative community samples of adolescents (12–17 years) were recruited. The participants were 7812 students from 36 Australian communities and 15 082 adolescents from 124 Dutch communities. Predictors included adolescent reports of family, school, peer and neighbourhood environments and community predictors (rural, disadvantage). The overall prevalence of alcohol use prevalence was similar in both nations. Australia had higher use at younger ages and no difference between genders. In the Netherlands older adolescents and males used alcohol at significantly higher rates. Although individual predictors were mostly similar, binge drinking was more strongly associated with poor family management, friends' use of drugs and community disorganization in Australia. Significant community variation in adolescent heavy alcohol use was observed in both countries, but was higher in the Netherlands [inter class correlation 6.1%, (95% CI: 4.5–8.3%)] than Australia (ICC 2.4%, 1.3–4.5%). Youth from rural areas drank at a higher level, especially in the Netherlands. Targeting community level adolescent alcohol use appears feasible in both countries. Although behavioural patterns and risk and protective influences are similar in the Netherlands and Australia, important differences should be taken into account in tailoring community interventions. [ABSTRACT FROM AUTHOR]

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]