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Recent theoretical models suggest that repetitive negative thinking might be a key mechanism explaining the negative effects of maternal psychopathology on mother–infant relations. While an emerging body of research largely supports this idea, the relative importance of differences in the trajectory of repetitive negative thinking during and after pregnancy for mother–infant bonding as well as maternal depressive symptoms is currently unknown. Therefore, we investigated associations between the course of maternal repetitive negative thinking during pregnancy and after birth and mother–infant-bonding and maternal depressive symptoms in a longitudinal study. The overall level of repetitive negative thinking was a significant predictor of mother–infant bonding, maternal anxiety and rejection in dealing with her infant four months after birth. Furthermore, differences in the trajectory of repetitive negative thinking predicted bonding, but not anxiety or rejection. The overall levels of repetitive negative thinking as well as the differences in the trajectory of repetitive negative thinking were significant predictors of maternal depressive symptoms. These findings indicate that changes of repetitive negative thinking during and after pregnancy can increase the risk of postpartum depressive symptoms.
Background and purpose:
Clinical information logistics is a construct that aims to describe and explain various phenomena of information provision to drive clinical processes. It can be measured by the workflow composite score, an aggregated indicator of the degree of IT support in clinical processes. This study primarily aimed to investigate the yet unknown empirical patterns constituting this construct. The second goal was to derive a data-driven weighting scheme for the constituents of the workflow composite score and to contrast this scheme with a literature based, top-down procedure. This approach should finally test the validity and robustness of the workflow composite score.
Methods:
Based on secondary data from 183 German hospitals, a tiered factor analytic approach (confirmatory and subsequent exploratory factor analysis) was pursued. A weighting scheme, which was based on factor loadings obtained in the analyses, was put into practice.
Results:
We were able to identify five statistically significant factors of clinical information logistics that accounted for 63% of the overall variance. These factors were “flow of data and information”, “mobility”, “clinical decision support and patient safety”, “electronic patient record” and “integration and distribution”. The system of weights derived from the factor loadings resulted in values for the workflow composite score that differed only slightly from the score values that had been previously published based on a top-down approach.
Conclusion:
Our findings give insight into the internal composition of clinical information logistics both in terms of factors and weights. They also allowed us to propose a coherent model of clinical information logistics from a technical perspective that joins empirical findings with theoretical knowledge. Despite the new scheme of weights applied to the calculation of the workflow composite score, the score behaved robustly, which is yet another hint of its validity and therefore its usefulness.
Information Technology (IT) continues to evolve and develop with electronic devices and systems becoming integral to healthcare in every country. This has led to an urgent need for all professions working in healthcare to be knowledgeable and skilled in informatics. The Technology Informatics Guiding Education Reform (TIGER) Initiative was established in 2006 in the United States to develop key areas of informatics in nursing. One of these was to integrate informatics competencies into nursing curricula and life-long learning. In 2009, TIGER developed an informatics competency framework which outlines numerous IT competencies required for professional practice and this work helped increase the emphasis of informatics in nursing education standards in the United States. In 2012, TIGER expanded to the international community to help synthesise informatics competencies for nurses and pool educational resources in health IT. This transition led to a new interprofessional, interdisciplinary approach, as health informatics education needs to expand to other clinical fields and beyond.
In tandem, a European Union (EU) - United States (US) Collaboration on eHealth began a strand of work which focuses on developing the IT skills of the health workforce to ensure technology can be adopted and applied in healthcare. One initiative within this is the EU*US eHealth Work Project, which started in 2016 and is mapping the current structure and gaps in health IT skills and training needs globally. It aims to increase educational opportunities by developing a model for open and scalable access to eHealth training programmes. With this renewed initiative to incorporate informatics into the education and training of nurses and other health professionals globally, it is time for educators, researchers, practitioners and policy makers to join in and ROAR with TIGER.
Die Fairness von Personalauswahlverfahren kann in vielfältiger Weise eingeschränkt sein: Bewerber werden „aus dem Bauch heraus“ ausgewählt, ohne dass die Entscheidungsträger dabei bemerken, dass sie in systematischer Weise bestimmte Personengruppen diskriminieren. An sich aussagekräftige Personalauswahlmethoden werden nicht professionell umgesetzt, wodurch die Validität der getroffenen Entscheidungen sinkt. Methoden, die in starkem Maße sprachgebunden sind, setzen Zuwanderer in einen Nachteil gegenüber Muttersprachlern. Darüber hinaus können manche Bevölkerungsgruppen bei auswahlrelevanten Merkmalen niedrigere Werte aufweisen, wodurch sie mit geringerer Erfolgswahrscheinlichkeit bestimmte Auswahlverfahren positiv durchlaufen. Die Akzeptanz der Personalauswahlverfahren hängt nur bedingt von ihrer diagnostischen Qualität ab. Grundsätzlich bevorzugen Bewerber Auswahlmethoden, die einen offensichtlichen Bezug zur Arbeitsplatzrealität aufweisen. Die Diskussion verschiedener Lösungsstrategien zeigt, dass insbesondere eine Orientierung an den wissenschaftlichen Prinzipien guter Personalauswahl zu einer Reduktion entsprechender Probleme beitragen kann.
Soziale Kompetenzen
(2017)