Rajae Touzani|Émilien Schultz|Seth M. Holmes|Stéphanie Vandentorren|Pierre Arwidson|Françis Guillemin|Dominique Rey|Alexandra Rouquette|Anne-Déborah Bouhnik|Julien Mancini
Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey
Economic & Social Sciences, Health Systems & Medical Informatics|Inserm|Institute Paoli-Calmettes|Population and Development Center|Université Paris Cité|Institut de Recherche pour le Développement|Inserm|Economic & Social Sciences, Health Systems & Medical Informatics|Berkeley Public Health Division|Berkeley College|University of California, Berkeley|Mediterranean Institute of Oceanography|Institute Paoli-Calmettes|Economic & Social Sciences, Health Systems & Medical Informatics|Santé Publique France|Santé Publique France|Université de Lorraine|Inserm|Economic & Social Sciences, Health Systems & Medical Informatics|Inserm|Bicêtre Hospital|Assistance Publique – Hôpitaux de Paris|University of Paris-Saclay|Inserm|Université de Versailles Saint-Quentin-en-Yvelines|Centre de recherche en Epidémiologie et Santé des Populations|University of Paris-Sud|Economic & Social Sciences, Health Systems & Medical Informatics|Inserm|Economic & Social Sciences, Health Systems & Medical Informatics|Inserm
several countries implemented mobile apps attempt trace close contacts patients covid19 turn reduce spread sarscov2 however effectiveness approach depends adherence large segment populationthe aims study evaluate acceptability covid19 contact tracing mobile app among french population investigate barriers usethe health literacy survey 2019 questioned 1003 people france covid19 pandemic basis quota sampling survey collected sociodemographic characteristics health literacy data well information participants communication caregivers trust institutions covid19 knowledge preventive behaviors acceptability mobile app contact tracing measured single question responses grouped three modalities appsupporting appwilling appreluctant multinomial logistic regression analysis performed identify factors associated acceptability mobile app covid19 pandemiconly 192 1931003 participants appsupporting whereas half 5041003 503 reluctant factors associated willingness support toward contact tracing app included lower financial deprivation appwilling adjusted odds ratio aor 08 95 ci 069093 appsupporting aor 07 95 ci 058084 higher perceived usefulness using mobile app send completed health questionnaires doctors appwilling aor 23 95 ci 170326 appsupporting aor 31 95 ci 204482 furthermore likelihood supporting mobile app increased age 60 years aor 19 95 ci 113322 trust political representatives aor 27 95 ci 172423 feeling concerned pandemic situation aor 22 95 ci 147332 knowledge transmission covid19 aor 20 95 ci 139296the socioeconomically precarious people higher risk sarscov2 infection also reluctant using contact tracing mobile app therefore optimal adherence effective targeted discourse public health benefits adopt app combined reduction inequalities acting structural determinants