First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort
Identifieur interne : 000000 ( Main/Exploration ); suivant : 000001First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort
Auteurs : Paul Loubet [France] ; Caroline Guerrisi [France] ; Clément Turbelin [France] ; Béatrice Blondel [France] ; Odile Launay [France] ; Marc Bardou [France] ; Thierry Blanchon [France] ; Isabelle Bonmarin [France] ; François Goffinet [France] ; Pierre-Yves Ancel [France] ; Vittoria Colizza [France] ; Thomas Hanslik [France] ; Solen Kernéis [France]Source :
- BMC Public Health [ 1471-2458 ] ; 2016-12.
Descripteurs français
- Wicri :
- topic : Garde à vue.
English descriptors
- mix :
Abstract
Background: Pregnancy is a risk factor for severe influenza resulting in increased risks of hospitalisation and death in mothers and their new-borns. Our objective was to assess the representativeness and participation of French women to a new web-based collaborative tool for data collection and monitoring of Influenza Like Illness (ILI) during pregnancy. Methods: During the 2014/2015 influenza season, pregnant women living in metropolitan France were enrolled through a web platform (https://www.grippenet.fr/). Then throughout the season, participants were asked to report, on a weekly basis, if they had experienced symptoms of ILI. Representativeness was assessed by comparing the characteristics of participants to those of the French National Perinatal Survey. For each participant, the participation rate was the number of weekly questionnaires completed, divided by the length of follow-up (in weeks). Predictors of active participation (participation rate >15 %) were assessed by multivariate logistic regression. Results: A total of 153 women were enrolled. Participants were older (mean age 34 years vs. 29 years) and more highly educated (high school level 89 % versus 52 %) than the general population of pregnant women in France, but the sample did not differ on pregnancy-related characteristics (parity, history of hospitalisation during a previous pregnancy). The median rate of participation was high (78 %, interquartile range: 34–96). Higher educational level and participation to a previous GrippeNet.fr season were associated with active participation. Conclusion: Despite small sample size and lack of representativeness, the retention rate was high, suggesting that pregnant women are prone to adhere to a longitudinal follow-up of their health status via the Internet.
Url:
DOI: 10.1186/s12889-016-2899-y
Affiliations:
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Le document en format XML
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CS 81393 - 75646 Paris Cedex 13</addrLine><country key="FR"></country></address><ref type="url">https://www.iplesp.upmc.fr/</ref></desc><listRelation><relation active="#struct-93591" type="direct"></relation><relation name="U1136" active="#struct-303623" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-93591" type="direct"><org type="institution" xml:id="struct-93591" status="VALID"><orgName>Université Pierre et Marie Curie - Paris 6</orgName><orgName type="acronym">UPMC</orgName><desc><address><addrLine>4 place Jussieu - 75005 Paris</addrLine><country key="FR"></country></address><ref type="url">http://www.upmc.fr/</ref></desc></org></tutelle><tutelle name="U1136" active="#struct-303623" type="direct"><org type="institution" xml:id="struct-303623" status="VALID"><idno type="IdRef">026388278</idno><orgName>Institut National de la Santé et de la Recherche Médicale</orgName><orgName type="acronym">INSERM</orgName><desc><address><addrLine>101, rue de Tolbiac, 75013 Paris </addrLine><country key="FR"></country></address><ref type="url">http://www.inserm.fr</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author><author><name sortKey="Hanslik, Thomas" sort="Hanslik, Thomas" uniqKey="Hanslik T" first="Thomas" last="Hanslik">Thomas Hanslik</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-267618" status="VALID"><idno type="RNSR">201420917E</idno><orgName>Institut Pierre Louis d'Epidémiologie et de Santé Publique</orgName><orgName type="acronym">iPLESP</orgName><desc><address><addrLine>56, boulevard Vincent Auriol - CS 81393 - 75646 Paris Cedex 13</addrLine><country key="FR"></country></address><ref type="url">https://www.iplesp.upmc.fr/</ref></desc><listRelation><relation active="#struct-93591" type="direct"></relation><relation name="U1136" active="#struct-303623" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-93591" type="direct"><org type="institution" xml:id="struct-93591" status="VALID"><orgName>Université Pierre et Marie Curie - Paris 6</orgName><orgName type="acronym">UPMC</orgName><desc><address><addrLine>4 place Jussieu - 75005 Paris</addrLine><country key="FR"></country></address><ref type="url">http://www.upmc.fr/</ref></desc></org></tutelle><tutelle name="U1136" active="#struct-303623" type="direct"><org type="institution" xml:id="struct-303623" status="VALID"><idno type="IdRef">026388278</idno><orgName>Institut National de la Santé et de la Recherche Médicale</orgName><orgName type="acronym">INSERM</orgName><desc><address><addrLine>101, rue de Tolbiac, 75013 Paris </addrLine><country key="FR"></country></address><ref type="url">http://www.inserm.fr</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author><author><name sortKey="Kerneis, Solen" sort="Kerneis, Solen" uniqKey="Kerneis S" first="Solen" last="Kernéis">Solen Kernéis</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-453318" status="INCOMING"><orgName>Service des Maladies Infectieuses</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-300123" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-300123" type="direct"><org type="institution" xml:id="struct-300123" status="VALID"><orgName>CHU Cochin [APHP]</orgName><desc><address><addrLine>27 Rue du Faubourg Saint-Jacques 75014 Paris</addrLine><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic><idno type="DOI">10.1186/s12889-016-2899-y</idno><series><title level="j">BMC Public Health</title><idno type="ISSN">1471-2458</idno><imprint><date type="datePub">2016-12</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Incidence</term><term>Influenza</term><term>Pregnancy</term><term>Surveillance</term><term>Web-based study</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Garde à vue</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Background: Pregnancy is a risk factor for severe influenza resulting in increased risks of hospitalisation and death in mothers and their new-borns. Our objective was to assess the representativeness and participation of French women to a new web-based collaborative tool for data collection and monitoring of Influenza Like Illness (ILI) during pregnancy. Methods: During the 2014/2015 influenza season, pregnant women living in metropolitan France were enrolled through a web platform (https://www.grippenet.fr/). Then throughout the season, participants were asked to report, on a weekly basis, if they had experienced symptoms of ILI. Representativeness was assessed by comparing the characteristics of participants to those of the French National Perinatal Survey. For each participant, the participation rate was the number of weekly questionnaires completed, divided by the length of follow-up (in weeks). Predictors of active participation (participation rate >15 %) were assessed by multivariate logistic regression. Results: A total of 153 women were enrolled. Participants were older (mean age 34 years vs. 29 years) and more highly educated (high school level 89 % versus 52 %) than the general population of pregnant women in France, but the sample did not differ on pregnancy-related characteristics (parity, history of hospitalisation during a previous pregnancy). The median rate of participation was high (78 %, interquartile range: 34–96). Higher educational level and participation to a previous GrippeNet.fr season were associated with active participation. Conclusion: Despite small sample size and lack of representativeness, the retention rate was high, suggesting that pregnant women are prone to adhere to a longitudinal follow-up of their health status via the Internet.</div></front></TEI><affiliations><list><country><li>France</li></country></list><tree><country name="France"><noRegion><name sortKey="Loubet, Paul" sort="Loubet, Paul" uniqKey="Loubet P" first="Paul" last="Loubet">Paul Loubet</name></noRegion><name sortKey="Ancel, Pierre Yves" sort="Ancel, Pierre Yves" uniqKey="Ancel P" first="Pierre-Yves" last="Ancel">Pierre-Yves Ancel</name><name sortKey="Bardou, Marc" sort="Bardou, Marc" uniqKey="Bardou M" first="Marc" last="Bardou">Marc Bardou</name><name sortKey="Blanchon, Thierry" sort="Blanchon, Thierry" uniqKey="Blanchon T" first="Thierry" last="Blanchon">Thierry Blanchon</name><name sortKey="Blondel, Beatrice" sort="Blondel, Beatrice" uniqKey="Blondel B" first="Béatrice" last="Blondel">Béatrice Blondel</name><name sortKey="Bonmarin, Isabelle" sort="Bonmarin, Isabelle" uniqKey="Bonmarin I" first="Isabelle" last="Bonmarin">Isabelle Bonmarin</name><name sortKey="Colizza, Vittoria" sort="Colizza, Vittoria" uniqKey="Colizza V" first="Vittoria" last="Colizza">Vittoria Colizza</name><name sortKey="Goffinet, Francois" sort="Goffinet, Francois" uniqKey="Goffinet F" first="François" last="Goffinet">François Goffinet</name><name sortKey="Guerrisi, Caroline" sort="Guerrisi, Caroline" uniqKey="Guerrisi C" first="Caroline" last="Guerrisi">Caroline Guerrisi</name><name sortKey="Hanslik, Thomas" sort="Hanslik, Thomas" uniqKey="Hanslik T" first="Thomas" last="Hanslik">Thomas Hanslik</name><name sortKey="Kerneis, Solen" sort="Kerneis, Solen" uniqKey="Kerneis S" first="Solen" last="Kernéis">Solen Kernéis</name><name sortKey="Launay, Odile" sort="Launay, Odile" uniqKey="Launay O" first="Odile" last="Launay">Odile Launay</name><name sortKey="Turbelin, Clement" sort="Turbelin, Clement" uniqKey="Turbelin C" first="Clément" last="Turbelin">Clément Turbelin</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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