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Aim: To investigate nursing/midwifery students, Clinical Mentors, Link Teachers and Head Nurses experiences within "Dedicated Education Unit" model in 6 European clinical placements and analyse the necessary elements for a powerful clinical learning environment. Design: A multi‐country, phenomenological, qualitative study. Methods: Focus group interviews were performed to identify the personal and organizational factors of importance for students and nurses/midwives. Results: Data analysis produced 4 main themes (1) Clinical placement organization, (2) students' clinical knowledge and skill acquisition, (3) students, and nurses/midwives' experiences within the DEU model and (4) factors for creating an effective learning environment. Conclusions: A close educational‐service collaboration, a realistic clinical placement planning, a focus on student learning process and an investment in professionals' education and development among others, are elements to set up a powerful clinical learning environment. Implications for the profession: It is considered advisable and urgent to improve the working conditions of nurses/midwives and the learning environments of students as a strategy to alleviate the global shortage of nurses and respond to the increasingly demanding health needs of the population. Impact: Due to the close relationship between students' learning and features of the clinical environment nurse educators seek innovative models which allow students to manage patient care and their transition to professional practice. To implement new learning strategies, identifying students, nurses and midwives perceptions and suggestions is a powerful information to evaluate implementation process and outcomes. Public Contribution: Our findings could help academic and clinical managers to meet the human and organizational requirements to create a successful learning environment in every student placement. [ABSTRACT FROM AUTHOR]

Background The European Union has used Healthy Life Years (HLY) as an indicator to monitor the health of its aging populations. Scholarly and popular interest in HLY across countries has grown, particularly regarding the ranking of countries. It is important to note that HLY is based on self-assessments of activity limitations, raising the possibility that it might be influenced by differences in health reporting behaviours between populations, a phenomenon known as differential item functioning (DIF). Methods We estimated DIF-adjusted HLY at age 50 for Belgium, France, Germany, Greece, Italy, the Netherlands, Spain, and Sweden to determine the extent to which differences in HLY might be influenced by reporting heterogeneity across countries. We used anchoring vignettes, taken from the 2004 Survey of Health, Ageing and Retirement in Europe, to estimate DIF-adjusted prevalence rates of activity limitations measured by the Global Activity Limitations Indicator (GALI). The Sullivan method was used to calculate DIF-adjusted HLY. Results Changes in HLY before and after adjustment ranged from a 1.20-year decrease for men in Italy to a 1.61-year increase for women in Spain. Adjustment for DIF produced changes in the rankings of the countries by HLY, with upward and downward movements of up to three positions. Conclusion Our results show that DIF is likely to affect HLY estimates, thereby posing a challenge to the validity of comparisons of HLY across European countries. The findings suggest that HLY should be used to monitor population health status within a country, rather than to make comparisons across countries. [ABSTRACT FROM AUTHOR]

Background: The databases of children's anthropometric parameters are often outdated, rarely representative and are not always available at an international level. Objectives: To present children's anthropometric parameters in six European countries that contributed to the Feel4Diabetes project and find country-specific differences. Design/Setting: The Feel4Diabetes study was performed between 2016 and 2018, targeting children in Belgium, Bulgaria, Finland, Greece, Hungary and Spain. The current study presents data from the baseline and the yearly follow-up anthropometric measurements. Subjects: In total, 20,832 measurements of children (48.7% boys) between 6 and 10 years of age were conducted. Main outcome measure: weight, height, BMI. Results: Belgian boys had the lowest body weight and height, while Greek boys had the highest body weight, and Finnish had the highest body height. The highest proportion of overweight (percentile above 85%) and obese boys (percentile above 95%) was in Greece, followed by Hungarian, Spanish, Bulgarian and Finnish boys. In contrast, Belgian boys had the lowest ratio in both categories. Among girls, Greece had the highest; Belgium had the lowest body weight; Finland was the highest in all age categories. The ratio in the overweight range was the highest in Greece, followed by Spanish, Bulgarian and Hungarian girls, who were second in the obese category. Finnish girls had lower and Belgian girls had the lowest ratio in both BMI categories. All the detailed data are presented in tables, and the trends are figures. Conclusions: Our study presents fresh and comparable anthropometric data of children between 6 and 10 years of age in six European countries, supporting the need for appropriate obesity prevention. [ABSTRACT FROM AUTHOR]

Background: The objective of this work was to analyse the prevalence trends of multimorbidity among European community-dwelling adults.Methods: A temporal series study based on waves 1, 2, 4, 5, 6 and 7 of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted, and community-dwelling participants aged 50+ (n = 274,614) from 15 European countries were selected for the period 2004-2017. Prevalence, adjusted by age, Average Annual Percentage Change (APC) and 95% confidence interval (95% CI) were all calculated. Trend analyses were realised by period, age groups and groups of diseases.Results: The results showed a large variability in the prevalence of multimorbidity in adults aged 50 and over among European countries. Increase in the prevalence of multimorbidity in the countries of central Europe (Austria, Belgium, Czech Republic, France, Germany and Switzerland) and Spain in both sexes, and in the Netherlands among men. Stability was observed in northern and eastern European countries. Musculoskeletal and neurodegenerative groups showed more significant changes in the trend analyses.Conclusions: This information can be useful for policy makers when planning health promotion and prevention policies addressing modifiable risk factors in health. [ABSTRACT FROM AUTHOR]