Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice

The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Therapie 2023-11, Vol.78 (6), p.679-689
Hauptverfasser: de Germay, Sibylle, Conte, Cécile, Micallef, Joëlle, Bouquet, Emilie, Chouchana, Laurent, Lafaurie, Margaux, Pariente, Antoine
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 689
container_issue 6
container_start_page 679
container_title Therapie
container_volume 78
creator de Germay, Sibylle
Conte, Cécile
Micallef, Joëlle
Bouquet, Emilie
Chouchana, Laurent
Lafaurie, Margaux
Pariente, Antoine
description The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommendations have been thought to improve the quality of pharmacoepidemiological studies. These guidelines emphasize the importance of an accurate definition of the study population, outcome and exposure, especially for studies performed on medico-administrative databases. Compliance with certain guidelines, particularly those concerning the identification of a specific population or an outcome and the definition of risk periods or exposure periods, may be difficult when performing studies on the SNDS because of its structure and the nature of the data recorded. The objective of this article is to provide advice for the conduct of pharmacoepidemiological studies according to the recommendations when using the SNDS, given its specificities. The performing of reliable studies from this rich but complex data warehouse requires the expertise of researchers with deep knowledge both in the SNDS and in pharmacological reasoning.
doi_str_mv 10.1016/j.therap.2023.01.009
format Article
fullrecord <record><control><sourceid>elsevier_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04575719v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0040595723000264</els_id><sourcerecordid>S0040595723000264</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-26466532b586047c57ecb8e414744f51b241e727a57af611822ecba9d7700eb33</originalsourceid><addsrcrecordid>eNp9kc9u1DAQxi0EokvhDRDykR4SbMd_Eg5IVaEs0gqQCmfLcSYbr5I4sp1WPATvjFeBHjmNNPP75tPMh9BrSkpKqHx3KtMAwSwlI6wqCS0JaZ6gHW1EXQih6qdoRwgnhWiEukAvYjwRwqhq1HN0UcmaUynkDv3-DqH3YXLzES-DCZOxHhbXweT86I_OmhHHtHYOIl7jmcqu-DbAbAc8gBnTgN0c12BmC7gzyeAHE2DwawT89u7rx7ur93jvH3DyOGUojiYBPq7ZYXRzXurmPFmCsclZeIme9WaM8OpvvUQ_bz_9uNkXh2-fv9xcHwpbNTIVTHIpRcVaUUvClRUKbFsDp1xx3gvaMk5BMWWEMr2ktGYsA6bplCIE2qq6RFfb3sGMegluMuGX9sbp_fVBn3uECyUUbe5pZvnG2uBjDNA_CijR5yT0SW9J6HMSmlCdk8iyN5tsWdsJukfRv9dn4MMGQD703kHQ0br8VuhcAJt0593_Hf4Ayd-dWg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice</title><source>Alma/SFX Local Collection</source><creator>de Germay, Sibylle ; Conte, Cécile ; Micallef, Joëlle ; Bouquet, Emilie ; Chouchana, Laurent ; Lafaurie, Margaux ; Pariente, Antoine</creator><creatorcontrib>de Germay, Sibylle ; Conte, Cécile ; Micallef, Joëlle ; Bouquet, Emilie ; Chouchana, Laurent ; Lafaurie, Margaux ; Pariente, Antoine ; on behalf of the Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT) ; Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</creatorcontrib><description>The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommendations have been thought to improve the quality of pharmacoepidemiological studies. These guidelines emphasize the importance of an accurate definition of the study population, outcome and exposure, especially for studies performed on medico-administrative databases. Compliance with certain guidelines, particularly those concerning the identification of a specific population or an outcome and the definition of risk periods or exposure periods, may be difficult when performing studies on the SNDS because of its structure and the nature of the data recorded. The objective of this article is to provide advice for the conduct of pharmacoepidemiological studies according to the recommendations when using the SNDS, given its specificities. The performing of reliable studies from this rich but complex data warehouse requires the expertise of researchers with deep knowledge both in the SNDS and in pharmacological reasoning.</description><identifier>ISSN: 0040-5957</identifier><identifier>EISSN: 1958-5578</identifier><identifier>DOI: 10.1016/j.therap.2023.01.009</identifier><identifier>PMID: 36841656</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>French National Health Data System ; Guidelines ; Life Sciences ; Pharmacoepidemiology ; Santé publique et épidémiologie</subject><ispartof>Therapie, 2023-11, Vol.78 (6), p.679-689</ispartof><rights>2023 Société française de pharmacologie et de thérapeutique</rights><rights>Copyright © 2023 Société française de pharmacologie et de thérapeutique. Published by Elsevier Masson SAS. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-26466532b586047c57ecb8e414744f51b241e727a57af611822ecba9d7700eb33</citedby><cites>FETCH-LOGICAL-c396t-26466532b586047c57ecb8e414744f51b241e727a57af611822ecba9d7700eb33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36841656$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04575719$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>de Germay, Sibylle</creatorcontrib><creatorcontrib>Conte, Cécile</creatorcontrib><creatorcontrib>Micallef, Joëlle</creatorcontrib><creatorcontrib>Bouquet, Emilie</creatorcontrib><creatorcontrib>Chouchana, Laurent</creatorcontrib><creatorcontrib>Lafaurie, Margaux</creatorcontrib><creatorcontrib>Pariente, Antoine</creatorcontrib><creatorcontrib>on behalf of the Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</creatorcontrib><creatorcontrib>Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</creatorcontrib><title>Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice</title><title>Therapie</title><addtitle>Therapie</addtitle><description>The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommendations have been thought to improve the quality of pharmacoepidemiological studies. These guidelines emphasize the importance of an accurate definition of the study population, outcome and exposure, especially for studies performed on medico-administrative databases. Compliance with certain guidelines, particularly those concerning the identification of a specific population or an outcome and the definition of risk periods or exposure periods, may be difficult when performing studies on the SNDS because of its structure and the nature of the data recorded. The objective of this article is to provide advice for the conduct of pharmacoepidemiological studies according to the recommendations when using the SNDS, given its specificities. The performing of reliable studies from this rich but complex data warehouse requires the expertise of researchers with deep knowledge both in the SNDS and in pharmacological reasoning.</description><subject>French National Health Data System</subject><subject>Guidelines</subject><subject>Life Sciences</subject><subject>Pharmacoepidemiology</subject><subject>Santé publique et épidémiologie</subject><issn>0040-5957</issn><issn>1958-5578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kc9u1DAQxi0EokvhDRDykR4SbMd_Eg5IVaEs0gqQCmfLcSYbr5I4sp1WPATvjFeBHjmNNPP75tPMh9BrSkpKqHx3KtMAwSwlI6wqCS0JaZ6gHW1EXQih6qdoRwgnhWiEukAvYjwRwqhq1HN0UcmaUynkDv3-DqH3YXLzES-DCZOxHhbXweT86I_OmhHHtHYOIl7jmcqu-DbAbAc8gBnTgN0c12BmC7gzyeAHE2DwawT89u7rx7ur93jvH3DyOGUojiYBPq7ZYXRzXurmPFmCsclZeIme9WaM8OpvvUQ_bz_9uNkXh2-fv9xcHwpbNTIVTHIpRcVaUUvClRUKbFsDp1xx3gvaMk5BMWWEMr2ktGYsA6bplCIE2qq6RFfb3sGMegluMuGX9sbp_fVBn3uECyUUbe5pZvnG2uBjDNA_CijR5yT0SW9J6HMSmlCdk8iyN5tsWdsJukfRv9dn4MMGQD703kHQ0br8VuhcAJt0593_Hf4Ayd-dWg</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>de Germay, Sibylle</creator><creator>Conte, Cécile</creator><creator>Micallef, Joëlle</creator><creator>Bouquet, Emilie</creator><creator>Chouchana, Laurent</creator><creator>Lafaurie, Margaux</creator><creator>Pariente, Antoine</creator><general>Elsevier Masson SAS</general><general>Elsevier Masson</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope></search><sort><creationdate>20231101</creationdate><title>Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice</title><author>de Germay, Sibylle ; Conte, Cécile ; Micallef, Joëlle ; Bouquet, Emilie ; Chouchana, Laurent ; Lafaurie, Margaux ; Pariente, Antoine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-26466532b586047c57ecb8e414744f51b241e727a57af611822ecba9d7700eb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>French National Health Data System</topic><topic>Guidelines</topic><topic>Life Sciences</topic><topic>Pharmacoepidemiology</topic><topic>Santé publique et épidémiologie</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Germay, Sibylle</creatorcontrib><creatorcontrib>Conte, Cécile</creatorcontrib><creatorcontrib>Micallef, Joëlle</creatorcontrib><creatorcontrib>Bouquet, Emilie</creatorcontrib><creatorcontrib>Chouchana, Laurent</creatorcontrib><creatorcontrib>Lafaurie, Margaux</creatorcontrib><creatorcontrib>Pariente, Antoine</creatorcontrib><creatorcontrib>on behalf of the Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</creatorcontrib><creatorcontrib>Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Therapie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Germay, Sibylle</au><au>Conte, Cécile</au><au>Micallef, Joëlle</au><au>Bouquet, Emilie</au><au>Chouchana, Laurent</au><au>Lafaurie, Margaux</au><au>Pariente, Antoine</au><aucorp>on behalf of the Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</aucorp><aucorp>Pharmacoepidemiological group of the French Society of Pharmacology and Therapeutics (SFPT)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice</atitle><jtitle>Therapie</jtitle><addtitle>Therapie</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>78</volume><issue>6</issue><spage>679</spage><epage>689</epage><pages>679-689</pages><issn>0040-5957</issn><eissn>1958-5578</eissn><abstract>The French health insurance data warehouse named SNDS is one of the largest medico-administrative in the world allowing for powerful pharmacoepidemiological studies, based on real-life data collected prospectively. In addition to the absolute necessity of a strong pharmacological rationale, recommendations have been thought to improve the quality of pharmacoepidemiological studies. These guidelines emphasize the importance of an accurate definition of the study population, outcome and exposure, especially for studies performed on medico-administrative databases. Compliance with certain guidelines, particularly those concerning the identification of a specific population or an outcome and the definition of risk periods or exposure periods, may be difficult when performing studies on the SNDS because of its structure and the nature of the data recorded. The objective of this article is to provide advice for the conduct of pharmacoepidemiological studies according to the recommendations when using the SNDS, given its specificities. The performing of reliable studies from this rich but complex data warehouse requires the expertise of researchers with deep knowledge both in the SNDS and in pharmacological reasoning.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>36841656</pmid><doi>10.1016/j.therap.2023.01.009</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0040-5957
ispartof Therapie, 2023-11, Vol.78 (6), p.679-689
issn 0040-5957
1958-5578
language eng
recordid cdi_hal_primary_oai_HAL_hal_04575719v1
source Alma/SFX Local Collection
subjects French National Health Data System
Guidelines
Life Sciences
Pharmacoepidemiology
Santé publique et épidémiologie
title Performing pharmacoepidemiological studies using the French health insurance data warehouse (SNDS): How to translate guidelines into practice
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T19%3A17%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Performing%20pharmacoepidemiological%20studies%20using%20the%20French%20health%20insurance%20data%20warehouse%20(SNDS):%20How%20to%20translate%20guidelines%20into%20practice&rft.jtitle=Therapie&rft.au=de%20Germay,%20Sibylle&rft.aucorp=on%20behalf%20of%20the%20Pharmacoepidemiological%20group%20of%20the%20French%20Society%20of%20Pharmacology%20and%20Therapeutics%20(SFPT)&rft.date=2023-11-01&rft.volume=78&rft.issue=6&rft.spage=679&rft.epage=689&rft.pages=679-689&rft.issn=0040-5957&rft.eissn=1958-5578&rft_id=info:doi/10.1016/j.therap.2023.01.009&rft_dat=%3Celsevier_hal_p%3ES0040595723000264%3C/elsevier_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/36841656&rft_els_id=S0040595723000264&rfr_iscdi=true