Користење на “мета – анализата” во наставата од областа на медицината

Zisovska, Elizabeta (2011) Користење на “мета – анализата” во наставата од областа на медицината. Образованието во 21 век. ISSN 978-608-4616-24-5

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The rapid development of the medical sciences requires changes and improvement of the teaching methods. The spectrum of different statistical and computer applications is additional method for upgrading the education of all students, especially for those in the field of medicine and allied sciences. Meta analysis is a statistical method widely used within the professional and scientific research, in Guidelines development implemented within the clinical practice, in the textbooks for the clinical medical disciplines, but very rarely is explained in details to the students, and is almost neglected in practical training to perform it while doing their research, writing and publishing papers. Particularly they are not familiar to use it in interpretation of the Clinical guidelines’ recommendations. The aim of this presentation should be to explain the importance of the inclusion of the Meta analysis within the education curricula for explanation of the therapeutic effect of different therapeutic algorithms, to present its advantages, weaknesses and limitations. The understanding of the Meta analysis very clearly describes the differences between different drug effects, methods, and combines the results of many studies conducted in almost the same conditions, working out the same problem, using the same methods, and thus approving/rejecting the same hypothesis. The highest weakness is the fact that sometimes it is impossible to detect the bias within the included studies. As a conclusion, it could be stated that is desirable to use this method because of its simplicity in describing the therapeutic effect and it is wise to refer the students to computer skills use in performing meta analysis following conduced studies during their research within the medical sciences and clinical questions. The understanding of the results summarized by meta analysis are precondition for successful long life continuous learning.

Item Type: Article
Subjects: Medical and Health Sciences > Clinical medicine
Divisions: Faculty of Medical Science
Depositing User: Elizabeta Zisovska
Date Deposited: 08 Jul 2015 12:17
Last Modified: 08 Jul 2015 12:24
URI: http://eprints.ugd.edu.mk/id/eprint/13596

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