Literature DB >> 28844426

[The REDSIAM network].

M Goldberg1, M Carton2, A Doussin3, A Fagot-Campagna4, E Heyndrickx2, M Lemaitre5, J Nicolau3, C Quantin6.   

Abstract

The French national health database (SNIIRAM) proved to be very useful for epidemiology, health economics, evaluation, surveillance or public health. However, it is a complex database requiring important resources and expertise for being used. The REDSIAM network has been set up for promoting the collaboration of teams working on the Sniiram. The main aim of REDSIAM is to develop and validate methods for analyzing the Sniiram database for research, surveillance, evaluation and public health purposes by sharing the knowledge and experience of specialized teams in the fields of diseases identification from the Sniiram data. The work conducted within the network is devoted to the development and the validation of algorithms using Sniiram data for identifying specific diseases. The REDSIAM governance includes the Steering Committee composed of the main organizations in charge of producing and using the Sniiram data, the Bureau and the Technical Committee. The network is organized in thematic working groups focused on specific pathological domains, and a charter defines the rules for participation in the network, the functioning of the thematic working groups, the rules for publishing and making available algorithms. The articles in this special issue of the journal present the first results of some of the thematic working groups.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Keywords:  Administrative databases; Bases de données médico-administratives; Network; Réseau; Sniiram

Mesh:

Year:  2017        PMID: 28844426     DOI: 10.1016/j.respe.2017.06.001

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN: 0398-7620            Impact factor:   1.019


  3 in total

1.  Using healthcare claims data to analyze the prevalence of BCR-ABL-positive chronic myeloid leukemia in France: A nationwide population-based study.

Authors:  Stéphanie Foulon; Pascale Cony-Makhoul; Agnès Guerci-Bresler; Marc Delord; Eric Solary; Alain Monnereau; Julia Bonastre; Pascale Tubert-Bitter
Journal:  Cancer Med       Date:  2019-04-30       Impact factor: 4.452

2.  TRANSCOV cohort protocol: an epidemiological study assessing the impact of critically ill COVID-19 patients long distance transfers between intensive care units.

Authors:  Olivier Grimaud; Sahar Bayat; Anne Renault; Eric Maury; Julien Pottecher; Manuel Dolz; François Braun; Christophe Fermanian; Agnès Ricard-Hibon; Nathalie Prieto; Jean-Marc Philippe; Emmanuelle Leray
Journal:  BMJ Open       Date:  2021-10-21       Impact factor: 2.692

3.  The Economic Burden of Disease in France From the National Health Insurance Perspective: The Healthcare Expenditures and Conditions Mapping Used to Prepare the French Social Security Funding Act and the Public Health Act.

Authors:  Antoine Rachas; Christelle Gastaldi-Ménager; Pierre Denis; Pauline Barthélémy; Panayotis Constantinou; Jérôme Drouin; Dimitri Lastier; Thomas Lesuffleur; Corinne Mette; Muriel Nicolas; Laurence Pestel; Sébastien Rivière; Ayden Tajahmady; Claude Gissot; Anne Fagot-Campagna
Journal:  Med Care       Date:  2022-07-26       Impact factor: 3.178

  3 in total

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