Usage of complementary medicine across Switzerland. Results of the Swiss Health Survey 2007

QUESTIONS UNDER STUDY: This study investigated the use among the Swiss adult population and regional dissemination of various methods of complementary medicine (CM) provided by physicians or therapists in Switzerland. METHODS: Data of the Swiss Health Survey 2007 were used, which comprised a telephone interview followed by a written questionnaire (18,760 and 14,432 respondents, respectively) and included questions about people's state of health, health insurance and usage of health services. Users and non-users of CM were compared using logistic regression models. RESULTS: The most popular CM methods were homeopathy, osteopathy, acupuncture and shiatsu/foot reflexology. 30.5% of women and 15.2% of men used at least one CM method in the 12 months preceding the survey. Lake Geneva region and central Switzerland had more CM users than the other regions. Women, people between 25 and 64 years of age and people with higher levels of education were more likely to use CM. 53.5% of the adult population had a supplemental health insurance for CM treatments. 32.9% of people with such an insurance used CM during the 12 months preceding the survey, and so did 12.0% of people without additional insurance. CONCLUSIONS: Almost one fourth of the Swiss adult population had used CM within the past 12 months. User profiles were comparable to those in other countries. Despite a generally lower self-perceived health status, elderly people were less likely to use CM.

Twenty-three per cent of the Swiss adult population are using complementary medicine

Aim of the study: This study investigated the use among the Swiss adult population and the regional dissemination in Switzerland of various methods of complementary medicine (CM). It focused on CM methods that required visiting a physician or therapist and excluded e.g. over-the-counter drugs. Data and Methods: Data of the Swiss Health Survey 2007 were obtained from the Swiss Federal Statistical Office. This survey is performed every 5 years in a sample and is representative of the Swiss resident population from the age of 15 on. It consists of a telephone interview followed by a written questionnaire (2007: 18'760 and 14'432 respondents, respectively) and includes questions about people's state of health, general living conditions, lifestyle, health insurance and usage of health services. Users and non-users of CM were compared using logistic regression models. Results: 23.0 % of the Swiss adult population (women: 30.5 %, men: 15.2 %) used CM during the 12 months before the survey. Homeopathy (6.4 %), osteopathy (5.4 %) and acupuncture (4.9 %) were the most popular methods. The average number of treatments within 12 months for these three methods was 3.1 ± 3.6, 3.5 ± 3.3 and 6.6 ± 5.8, respectively. For treatments with homeopathy and acupuncture, medical practitioners were more commonly consulted than non-medical practitioners, for treatments with osteopathy no difference was found. By means of logistic regression, CM users and non-users were compared. There were significant differences in the use of CM between genders, age groups, levels of education and areas of living. Women, people aged 25 to 64 years, and people with higher levels of education used CM more commonly than men, people below 25 or above 64 years of age, or those with poorer education. Lake Geneva region and central Switzerland had a higher proportion of CM users than the other regions. Discussion: Almost one fourth of the Swiss adult population had used CM within 12 months before the survey. User profiles were comparable to those in other countries. Despite a generally lower self-perceived health status, elderly people were less likely to use CM. Reference: Klein SD, Frei-Erb M, Wolf U. Usage of complementary medicine across Switzerland. Results of the Swiss Health Survey 2007. Swiss Med Wkly. 2012;142:w13666.

Keeping citizens, companies, and organizations informed by Web KnowARR

For the main part, electronic government (or e-government for short) aims to put digital public services at disposal for citizens, companies, and organizations. To that end, in particular, e-government comprises the application of Information and Communications Technology (ICT) to support government operations and provide better governmental services (Fraga, 2002) as possible with traditional means. Accordingly, e-government services go further as traditional governmental services and aim to fundamentally alter the processes in which public services are generated and delivered, after this manner transforming the entire spectrum of relationships of public bodies with its citizens, businesses and other government agencies (Leitner, 2003). To implement this transformation, one of the most important points is to inform the citizen, business, and/or other government agencies faithfully and in an accessible way. This allows all the partaking participants of governmental affairs for a transition from passive information access to active participation (Palvia and Sharma, 2007). In addition, by a corresponding handling of the participants' data, a personalization towards these participants may even be accomplished. For instance, by creating significant user profiles as a kind of participants' tailored knowledge structures, a better-quality governmental service may be provided (i.e., expressed by individualized governmental services). To create such knowledge structures, thus known information (e.g., a social security number) can be enriched by vague information that may be accurate to a certain degree only. Hence, fuzzy knowledge structures can be generated, which help improve governmental-participants relationship. The Web KnowARR framework (Portmann and Thiessen, 2013; Portmann and Pedrycz, 2014; Portmann and Kaltenrieder, 2014), which I introduce in my presentation, allows just all these participants to be automatically informed about changes of Web content regarding a- respective governmental action. The name Web KnowARR thereby stands for a self-acting entity (i.e. instantiated form the conceptual framework) that knows or apprehends the Web. In this talk, the frameworks respective three main components from artificial intelligence research (i.e. knowledge aggregation, representation, and reasoning), as well as its specific use in electronic government will be briefly introduced and discussed.

Digital multitext editions from scratch to electronic performance. Transcription and collation routines transformed in a flexible database system

The poster demonstrates the preparatory steps of a digital multi-text edition that are abstracted from the experiences made in the Parzival Project, based at the University of Bern, the Berlin-Brandenburg Academy of Sciences and the University of Erlangen. This edition of Wolfram von Eschenbach’s German Grail novel, written shortly after 1200 and transmitted during several centuries in ca. hundred witnesses, has now been completed by more than a half of the textual corpus. As the text is transmitted in medieval manuscripts the witnesses have to be transcribed according to specific encoding rules. The transcriptions then are collated following certain ideas and concepts of how the transmission process could have developed. The transcriptions and collations finally have to be transferred to a digital edition that allows the users to explore the characteristics of single witnesses as well as the history of a text, which is delivered in variants and in different versions. A dynamically organized database offering various components and adapted to the needs of diverse user-profiles is nowadays the right tool for this purpose.

Dynamic computer simulations of electrophoresis: a versatile research and teaching tool

Software is available, which simulates all basic electrophoretic systems, including moving boundary electrophoresis, zone electrophoresis, ITP, IEF and EKC, and their combinations under almost exactly the same conditions used in the laboratory. These dynamic models are based upon equations derived from the transport concepts such as electromigration, diffusion, electroosmosis and imposed hydrodynamic buffer flow that are applied to user-specified initial distributions of analytes and electrolytes. They are able to predict the evolution of electrolyte systems together with associated properties such as pH and conductivity profiles and are as such the most versatile tool to explore the fundamentals of electrokinetic separations and analyses. In addition to revealing the detailed mechanisms of fundamental phenomena that occur in electrophoretic separations, dynamic simulations are useful for educational purposes. This review includes a list of current high-resolution simulators, information on how a simulation is performed, simulation examples for zone electrophoresis, ITP, IEF and EKC and a comprehensive discussion of the applications and achievements.