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49. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds)
19. Jahrestagung der Schweizerischen Gesellschaft für Medizinische Informatik (SGMI)
Jahrestagung 2004 des Arbeitskreises Medizinische Informatik (ÖAKMI)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie
Schweizerische Gesellschaft für Medizinische Informatik (SGMI)

26. bis 30.09.2004, Innsbruck/Tirol

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Multicentre Clinical registries: a necessary element in health care research !? Example: The Berlin Myocardial Infarction Registry

Meeting Abstract (gmds2004)

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  • corresponding author presenting/speaker Gerd Kallischnigg - Institut für Gesundheitswissenschaften, Technische Universität Berlin, Berlin, Deutschland
  • Peter Martus - Institit für Medizinische Informatik, Biometrie und Epidemiologie, Charité Standort Benjamin Franklin, Berlin, Deutschland
  • Walter Thimme - Berliner Herzinfarktregister e.V., Berlin, Deutschland

Kooperative Versorgung - Vernetzte Forschung - Ubiquitäre Information. 49. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 19. Jahrestagung der Schweizerischen Gesellschaft für Medizinische Informatik (SGMI) und Jahrestagung 2004 des Arbeitskreises Medizinische Informatik (ÖAKMI) der Österreichischen Computer Gesellschaft (OCG) und der Österreichischen Gesellschaft für Biomedizinische Technik (ÖGBMT). Innsbruck, 26.-30.09.2004. Düsseldorf, Köln: German Medical Science; 2004. Doc04gmds355

The electronic version of this article is the complete one and can be found online at: http://www.egms.de/en/meetings/gmds2004/04gmds355.shtml

Published: September 14, 2004

© 2004 Kallischnigg et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.

Outline

Text

Introduction

The study of diseases, wheter in the framework of controlled clinical trials or observational studies, faces the problem of heterogeneity of subjects. Heterogeneity usually is tackled by the application of statistical methods which lead to general results valid for populations but not for single individuals. In statistical models, the true heterogeneity is viewed as a random variation produced by a stochastic mechanism. However, apart from systematic errors the statistical error produced by random variation of results may be considerable, especially for the analysis of subgroups. For specific problems, especially in the multifactorial settings, sample sizes of thousands of patient will be necessary to obtain sufficient results. This is true for controlled clinical trials but also for clinical epidemiology working with data from hospital based registries.

Methods

With the use of the Berlin Myocardial Infarction Registry (informations: www.herzinfarktregister.de) it will be shown how the cooperation between different hospitals can be organized, which kind of documentation and follow up data are necessary, how the quality assurance could be organized in a regional multicentre registry, which efficiency a remote data entry system should have, what is neccessary to fulfill the demands of the data protection agencies and which biometrical considerations and medical implications can be made.

Results

It will be shown that we need well designed and properly prospective registries continuing for several years [1] to improve the quality of care and the outcome of the patients.

Outline

References

1.
Zeymer U, Senges J. Why do we need prospective registries in patients with acute myocardial infarction? European Heart Journal 2003, 24: 1611-12.