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Forecasts predict a growing shortage of skilled nursing staff in countries worldwide. Nurse migration is already a common strategy used to address nursing workforce needs. Germany, the UK, and Australia are reviewed here as examples of destination countries for nurse migrants. Agreements exist between countries to facilitate nurse migration; however, it is not evident how nurse migrants have contributed to data on which these arrangements are based. We examined existing primary research on nurse migration, including educational needs and initiatives to support policymakers', stakeholders', and health professions educators' decisions on measures for ethical and sustainable nurse migration. We conducted a rapid evidence assessment to review available empirical research data which involved, was developed with, or considered migrant nurses to address the research question: what are the findings of research that directly involves migrant nurses in producing primary research data? A total of 56 papers were included. Four main themes were identified in this research data: Research does not clearly define what is meant by the term migrant nurses; discrimination is often reported by migrant nurses; language and communication competencies are important; and structured integration programs are highly valued by migrant nurses and destination healthcare employers. Migrant nurses continue to experience discrimination and reduced career opportunities and therefore should be included in research about them to better inform policy. Structured integration programs can improve the experience of migrant nurses by providing language support (if necessary), a country-specific bridging program and help with organisational hurdles. Not only researching migrant nurses but making them active partners in research is of great importance for successful, ethical, and sustainable migration policies. A broader evidence base, especially with regard to the views and experiences of migrant nurses and their educational support needs, should be promoted to make future immigration policy more needs-based, sustainable and ethically acceptable. [ABSTRACT FROM AUTHOR]

Aims To report a systematic review of the psychometric properties of self-report instruments to identify the symptoms of anxiety in pregnancy to help clinicians and researchers select the most suitable instrument. Background Excessive anxiety in pregnancy is associated with adverse birth outcomes, developmental and behavioural problems in infants and postnatal depression. Despite recommendations for routine psychological assessment in pregnancy, the optimal methods to identify anxiety in pregnancy have not been confirmed. Design Psychometric systematic review. Data sources A systematic literature search of the multiple databases (1990-September 2014). Review methods Identification of self-report instruments to measure anxiety in pregnancy using COSMIN guidelines to assess studies reporting a psychometric evaluation of validity and reliability. Results Thirty-two studies were included. Studies took place in the UK, Australia, Belgium, Canada, Germany, Italy, Scandinavia, Spain and the Netherlands. Seventeen different instruments were identified. Measures of validity were reported in 19 papers and reliability in 16. The overall quality of the papers was rated as fair to excellent using the COSMIN checklist. Only one paper scored excellent in more than one category. Conclusion Many instruments have been adapted for use in different populations to those for which they were designed. The State Trait Anxiety Inventory, Edinburgh Postnatal Depression Scale and the Hospital Anxiety and Depression Scale have been tested more frequently than other instruments, yet require further assessment to confirm their value for use in pregnancy. [ABSTRACT FROM AUTHOR]

In many developed countries lone parent families face high rates of child poverty. Among those lone parents who do get child maintenance there is a hidden problem. States may retain all, or a proportion, of the maintenance that is paid in order to offset other fiscal costs. Thus, the potential of child maintenance to alleviate poverty among lone parent families may not be fully realized, especially if the families are also in receipt of social assistance benefits. This paper provides an original comparative analysis exploring the effectiveness of child maintenance to reduce child poverty among lone parent families in receipt of social assistance. It addresses the question of whether effectiveness is compromised once interaction effects (such as the operation of a child maintenance disregard) are taken into account in four countries Australia, Finland, Germany and the UK using the LIS dataset (2013). It raises important policy considerations and provides evidence to show that if policy makers are serious about reducing child poverty, they must understand how hidden mechanisms within interactions between child maintenance and social security systems can work as effective cost recovery tools for the state, but have no poverty reduction impact. [ABSTRACT FROM AUTHOR]

Introduction: Quality of life is included in the economic evaluation of health services by measuring the preference for health states, i.e. health state utilities. However, most intervention studies include a disease-specific, not a utility, instrument. Consequently, there has been increasing use of statistical mapping algorithms which permit utilities to be estimated from a disease-specific instrument. The present paper provides such algorithms between the MacNew Heart Disease Quality of Life Questionnaire (MacNew) instrument and six multi-attribute utility (MAU) instruments, the Euroqol (EQ-5D), the Short Form 6D (SF-6D), the Health Utilities Index (HUI) 3, the Quality of Wellbeing (QWB), the 15D (15 Dimension) and the Assessment of Quality of Life (AQoL-8D). Methods: Heart disease patients and members of the healthy public were recruited from six countries. Non-parametric rank tests were used to compare subgroup utilities and MacNew scores. Mapping algorithms were estimated using three separate statistical techniques. Results: Mapping algorithms achieved a high degree of precision. Based on the mean absolute error and the intra class correlation the preferred mapping is MacNew into SF-6D or 15D. Using the R squared statistic the preferred mapping is MacNew into AQoL-8D. Implications for research: The algorithms reported in this paper enable MacNew data to be mapped into utilities predicted from any of six instruments. This permits studies which have included the MacNew to be used in cost utility analyses which, in turn, allows the comparison of services with interventions across the health system. [ABSTRACT FROM AUTHOR]

We identify individuals who set daily intake budgets and examine if an intervention making people estimate their calorie intake up to a certain point in the day helps those setting daily budgets to regulate their calorie intake for the remainder of the day, after high prior consumption. We conducted an online experiment in five countries: Australia, China, Germany, India, and the UK (n = 3,032) using a 2 (setting calorie budget: yes vs. no, measured) x 2 (intervention: intake reminder vs. control, manipulated) between-subjects design, with the amount of prior consumption measured. Participants were contacted in the afternoon. Those in the intervention condition were asked to estimate their prior calorie intake on that day. We measured the individual characteristics of those who set daily calorie budgets and the intended calorie intake for the remainder of the day. Among people who set daily calorie budgets, the intervention reduced intended calorie intake for the remainder of the day by 176 calories if they had already consumed a high amount of calories that day. A timely intervention to estimate one's calorie intake can lower additional intended calorie intake among those who set daily calorie budget. [ABSTRACT FROM AUTHOR]

An online survey of 691 clinicians who use hypnosis was conducted in 31 countries to gain a broad real-world picture of current practices, views, and experiences in clinical hypnosis. Among 36 common clinical uses, stress reduction, wellbeing and self-esteem-enhancement, surgery preparations, anxiety interventions, mindfulness facilitation, and labor and childbirth applications were the most frequently rated as highly effective (each by ≥70% of raters) in the clinicians' own experience. Adverse hypnosis-associated effects had been encountered by 55% of clinicians but were generally short-lived and very rarely judged as serious. The most common hypnosis approaches used were Ericksonian (71%), hypnotic relaxation therapy (55%), and traditional hypnosis (50%). Almost all respondents reported regularly using other therapeutic modalities alongside hypnosis. Among a range of client variables potentially affecting therapy, most clinicians rated hypnotist-client rapport (88%) and client motivation (75%) as very or extremely important factors for successful hypnotherapy. The majority of respondents had conducted hypnosis treatment via teletherapy, and 54% of those estimated it to be as effective as in-person treatment. [ABSTRACT FROM AUTHOR]

Rapid digital transformation is taking place due to the COVID-19 pandemic, forcing organisations and higher educational institutions to change their working and learning culture. This study explores the challenges of rapid digital transformation arising during the pandemic in the higher education context. This research used the Q-methodology to understand the nine challenges that higher education encountered, perceived differently as four main patterns: (1) Digital-nomad enterprise; (2) Corporate-collectivism; (3) Well-being-oriented; and (4) Pluralistic. This study broadens the current understanding of digital transformation, especially in higher education. The nine challenges and four patterns of transformation actors serve as a starting point for organisations in supporting technological choice and strategic interventions, based on individual, group, and organisational behavioural levels. Moreover, five propositions, based on the competing concerns of these challenges, establish a framework for comprehending the ecosystem that enables rapid digital transformation. Strategies, prerequisites, and key factors during the (digital) technology development process benefit the cyber-society ecosystem. As a practical contribution, Q-methodology was used to investigate perspectives on digitalisation challenges during the pandemic. [ABSTRACT FROM AUTHOR]

When investigating the association between brain tumors and use of mobile telephones, accurate data on tumor position are essential, due to the highly localized absorption of energy in the human brain from the radio-frequency fields emitted. We used a point process model to investigate this association using information that included tumor localization data from the INTERPHONE Study (Australia, Canada, Denmark, Finland, France, Germany, Israel, Italy, Japan, New Zealand, Norway, Sweden, and the United Kingdom). Our main analysis included 792 regular mobile phone users diagnosed with a glioma between 2000 and 2004. Similar to earlier results, we found a statistically significant association between the intracranial distribution of gliomas and the self-reported location of the phone. When we accounted for the preferred side of the head not being exclusively used for all mobile phone calls, the results were similar. The association was independent of the cumulative call time and cumulative number of calls. However, our model used reported side of mobile phone use, which is potentially influenced by recall bias. The point process method provides an alternative to previously used epidemiologic research designs when one is including localization in the investigation of brain tumors and mobile phone use. [ABSTRACT FROM AUTHOR]