Einsatz von Simulationspatienten im Kommunikations- und Interaktionstraining für Medizinerinnen und Mediziner (Medi-KIT): Bedarfsanalyse — Training — Perspektiven

Communication skills are of central importance within daily medical life providing effective treatment. In the modern high-tech field of medicine, trustful conversations play a prominent role. In order to help students of the Heidelberg Medical Faculty to be ready for their highly responsible role as communication partner, training is carried out in the framework of HeiCuMed (short for Heidelberger Curriculum Medicinale) using specially trained simulation patients. The communication and interaction training program (referred to as Medi-KIT) enables to practice conducting conversations with challenging communication partners and grave conversational content in difficult situations. Feedback from the standardized patients, as well as from peers and tutors represents a central didactic element.In order to secure knowledge transfer into daily clinic life and as well to build a relation to cognitive knowledge transfer, all medical students are assigned, alongside Medi-KIT lessons, to a ward, and training units are coordinated in terms of content to correspond with symptom-oriented lectures and parallel POL-groups (problem-oriented learning groups). In addition, communication learning objectives are examined at the end of the semester in the form of a clinical practical exam (OSCE: Objective Structured Clinical Examination) and at patient’s bedside (Mini-CEX: Mini Clinical Examination). The goal in imparting communication skills within medical education is that the longitudinal communication curriculum be maintained and continued in subsequent medical specialization studies.     

Supervision und Gruppendynamik

In continuing education and in counselling the application of supervision and group dynamics, which go back to different origins, meet and, with a view to the problems that have to be solved in the various fields of work, produce considerable synergy effects. Starting out from the possible reasons for a cooperation between supervision and group dynamics, the lines of intersection, the problem solving capacities as well as the limits of both methods are described. It is only when you look at the distinction between the structural characteristics and the intervention concepts of group training and team supervision as important work settings that the differences as well as the things they have in common are highlighted. The author is advocating an integration of both methods because they can solve both interaction as well as organisational problems.     

Introduction: Quality of Life in Countries Undergoing Rapid Social Change

Social Indicators Research -     

In memoriam Karl Otto Hondrich (1937–2007)

Ohne Zusammenfassung     

Information, information systems, information society: interpretations and implications

The term “information” has become a universal and omnipresent keyword in almost all areas of our modern world—be it in science or society in general. This is not only obvious from the naming of whole scientific branches like Information Theory, Information Science or Informatics but even more from common speaking—characterising our present time and society as information age viz. information society. However, what “information” might mean, is by no means clear and there is a wide range of interpretations covering, among others, its technical, communicational, educational, mental, and scientific aspects. But is the use of the same term justified when adopted in Biology, Physics, Archaeology, Law, Communication Technology, and Informatics (to list just a few of the involved scientific branches) or do its different uses at least have some common characteristics—some sort of common denominator? Is information natural, e.g. manifesting itself as a material phenomenon residing in organisms, stars, atoms, or genes, or is it just a cultural product of human communication, thinking, and interpretation? In this article, we try to clarify some of the most important interpretations, discuss and contrast them with the Informatics point of view. Interpretations range from taking information as material, transferable signals (following Shannon’s Information Theory or the genetic approaches), treating it as a sign (following a semiotic approach), as a commercial product (now common in Web-based Information Business) to considering it a pure mental phenomenon bound to humans or human-like individuals or even to groups and societies. Based on these interpretations, we shall throw a critical glance on current trends in human science and society—focusing on the now popular concept of “information society”—and then derive some theses and guidelines for further research escorting the growth and dispersal of information technology. As it will turn out, an information society which defines itself through the number of computers, internet connections and network links is based on a very narrow, techno-centric concept of information. However, a reflection on the educational and cultural aspects of information might lead to a better-qualified society consisting of responsible and critical citizens.     

Likelihood analysis for a class of beta mixed models

Beta regression is a suitable choice for modelling continuous response variables taking values on the unit interval. Data structures such as hierarchical, repeated measures and longitudinal typically induce extra variability and/or dependence and can be accounted for by the inclusion of random effects. In this sense, Statistical inference typically requires numerical methods, possibly combined with sampling algorithms. A class of Beta mixed models is adopted for the analysis of two real problems with grouped data structures. We focus on likelihood inference and describe the implemented algorithms. The first is a study on the life quality index of industry workers with data collected according to an hierarchical sampling scheme. The second is a study assessing the impact of hydroelectric power plants upon measures of water quality indexes up, downstream and at the reservoirs of the dammed rivers, with a nested and longitudinal data structure. Results from different algorithms are reported for comparison including from data-cloning, an alternative to numerical approximations which also allows assessing identifiability. Confidence intervals based on profiled likelihoods are compared with those obtained by asymptotic quadratic approximations, showing relevant differences for parameters related to the random effects. In both cases, the scientific hypothesis of interest was investigated by comparing alternative models, leading to relevant interpretations of the results within each context.     

A macroeconomic potential describing structural change of the economy

For the purpose of describing change in an economy's structure, and addressing issues of transformation, the notion of a time-dependent macroeconomic potential function is introduced. It penalizes deviations from equilibrium (entrepreneurial error) and induces moves toward equilibrium. Thus, from the concept of a potential function is derived the concept of short-term and long-term change forces. We focus here on the long-term structural changes of an economy as distinct from short-term cyclical variations, and we represent economic transformations as phase-transitions between monostable and ambiguous bistable states of the economy. One important feature of the potential function approach is that the parameter of the potential can be determined from empirical data. In particular, the parameters can be regressed for input variables. Hence, a relationship has been established between the structural change force and a set of input variables, some of which are controlled in part by either public or private sector agents. The method has been applied to West German and United States industry data for 1950–1980.