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  5. La déclaration RECORD-PE (Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement for Pharmacoepdemiology) : directives pour la communication des études realisées à partir de données de santé observationelles collectées en routine en pharmacoépidémiologie

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Article
fr
2019

La déclaration RECORD-PE (Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement for Pharmacoepdemiology) : directives pour la communication des études realisées à partir de données de santé observationelles collectées en routine en pharmacoépidémiologie

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fr
2019
Vol 191 (25)
Vol. 191
DOI: 10.1503/cmaj.190347

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David Moher
David Moher

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Sinéad Langan
Sigrún Alba Jóhannesdóttir Schmidt
Kevin Wing
+17 more

Abstract

porte, revues systmatiques), la clart du libell du titre et du rsum facilitera la rutilisation approprie des rsultats de la recherche, rduisant ainsi le gaspillage de ressources. En dcrivant la conduite d'une tude utilisant des donnes de sant collectes en routine, les directives RECORD recommandent de rapporter le type de donnes utilis et le nom de la (ou des) base(s) de donnes, en indiquant notamment si les donnes couples ont t utilises ; ces spcifications sont aussi directement pertinentes pour les tudes pharmacopidmiologiques 1 .

How to cite this publication

Sinéad Langan, Sigrún Alba Jóhannesdóttir Schmidt, Kevin Wing, Véra Ehrenstein, Stuart G. Nicholls, Kristian B. Filion, Olaf H. Klungel, Irene Petersen, Henrik Toft Sørensen, William G Dixon, Astrid Guttmann, Katie Harron, Lars G. Hemkens, David Moher, Sebastian Schneeweiß, Liam Smeeth, Miriam Sturkenboom, Erik von Elm, Shirley Wang, Eric I. Benchimol (2019). La déclaration RECORD-PE (Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement for Pharmacoepdemiology) : directives pour la communication des études realisées à partir de données de santé observationelles collectées en routine en pharmacoépidémiologie. , 191(25), DOI: https://doi.org/10.1503/cmaj.190347.

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Publication Details

Type

Article

Year

2019

Authors

20

Datasets

0

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0

Language

fr

DOI

https://doi.org/10.1503/cmaj.190347

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