Digital contact tracing during the COVID-19 pandemic in France: Associated factors and reasons for non-use.


Journal

International journal of medical informatics
ISSN: 1872-8243
Titre abrégé: Int J Med Inform
Pays: Ireland
ID NLM: 9711057

Informations de publication

Date de publication:
03 2023
Historique:
received: 11 05 2022
revised: 26 12 2022
accepted: 09 01 2023
pubmed: 20 1 2023
medline: 7 2 2023
entrez: 19 1 2023
Statut: ppublish

Résumé

To estimate the proportion of users of the TousAntiCovid app(lication) and identify factors associated with its non-use for contact tracing. We conducted an online survey of a quota sample of French adults between 8 and 18 January 2021. Three categories of TousAntiCovid use were considered: contact tracing, other or temporary usage, and no use. A weighted multiple logistic regression was performed to analyze the factors associated with these different uses. Among the 1000 respondents, 63.3% declared they had never downloaded the TousAntiCovid app, 23.5% used it for contact tracing. The remaining 13.2% did not enable contact tracing, mainly because of excessive battery consumption and fear of misuse of personal data. Trust in political representatives, financial deprivation and other factors were associated with never downloading the app. This study confirms the previously suggested links between trust in political representatives, financial deprivation and the use of contact tracing apps in France.

Identifiants

pubmed: 36657257
pii: S1386-5056(23)00011-4
doi: 10.1016/j.ijmedinf.2023.104994
pmc: PMC9838029
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104994

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Rajae Touzani (R)

Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Equipe CANBIOS Labellisée Ligue 2019, Marseille, France; Institut Paoli-Calmettes, SESSTIM U1252, Marseille, France. Electronic address: rajae.touzani@inserm.fr.

Emilien Schultz (E)

Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Equipe CANBIOS Labellisée Ligue 2019, Marseille, France; CEPED, Université de Paris, IRD, 75006 Paris, France.

Stéphanie Vandentorren (S)

Santé Publique France, Saint-Maurice, France.

Pierre Arwidson (P)

Santé Publique France, Saint-Maurice, France.

Francis Guillemin (F)

CIC 1433 Clinical Epidemiology, Inserm, CHRU, University of Lorraine, Nancy, France.

Anne-Déborah Bouhnik (AD)

Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Equipe CANBIOS Labellisée Ligue 2019, Marseille, France.

Alexandra Rouquette (A)

Public Health and Epidemiology Department, AP-HP, Bicêtre Hôpitaux Universitaires Paris Sud, Le Kremlin-Bicêtre, France; Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP, INSERM U1018, Villejuif, France.

Julien Mancini (J)

Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Equipe CANBIOS Labellisée Ligue 2019, Marseille, France; APHM, Hop Timone, BioSTIC, Biostatistique et Technologies de l'Information et de la Communication, Marseille, France.

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Classifications MeSH