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T U Baehring

Publications and source records attributed to T U Baehring.

2 recordsLinked to original sources

[Model trial: use and evaluation of a problem-oriented learning program in internal medicine].

BACKGROUND: Problem-based training is a new approach in medical education. It is in particular essential that students work actively with authentic medical cases. Modern software is appropriate for developing interactive case-based training systems and the use in teaching environments. This method is still rarely integrated within medical curricula. METHOD: In an educational trial with 287 students the conceptual background, feasibility and evaluation are discussed. The learning program CASUS was used to present the case of a macroprolactinoma for interactive training. A questionnaire with a return rate of 78% was used for evaluation. RESULTS: 96% of the students had no problems in learning how to handle and use the program. A major problem was to focus the contents of the program exactly to the students' needs. The students' judgement was independent of the individual computer skills. 82% of the students would like to use the program in the future. CONCLUSION: Case-based and computer-assisted learning increases motivation and probably improves the quality in medical education. Controlled trials have to be implemented in future to show the effectiveness and the long-term output of these learning systems.

Computer-Assisted Instruction↗

Using the World Wide Web--a new approach to risk identification of diabetes mellitus.

Diabetes mellitus is a major health problem with a rising tendency world-wide. A new strategy for risk evaluation and data collection of undiagnosed non-insulin-dependent diabetes mellitus (NIDDM) using the World Wide Web (WWW) is presented. An easy-to-handle questionnaire on typical risk factors was converted into an interactive WWW document. The Internet provides the suitable platform for the net-based distribution of the questionnaire form as well as the computer-assisted entering and interpretation of the data (http:(/)/www.uni-leipzig.de/-diabetes). The analysis program, installed on our WWW server, interprets the information and sends the assessment on-line back to the inquiring user PC. The data are also collected anonymously in a database for epidemiological studies. In the test period, 744 world-wide accesses were registered: 433 men, mean age 39.8 +/- 14.4 years (range 10-83) and 311 women, mean age 36.7 +/- 12.7 years (range 11-77). An increased risk for undiagnosed diabetes was identified to 43.6%. The risk profile of male and female users showed no significant gender-related differences. Using the WWW technology can support early detection and adequate treatment of undiagnosed diabetes. This innovative strategy to screen for a high risk profile is an useful, cost-effective and up-to-date tool for broad community health education and epidemiological studies world-wide.

Adolescent↗