Rajae Touzani1,2, Emilien Schultz1,3, Seth M Holmes2,4,5, Stéphanie Vandentorren6, Pierre Arwidson6, Francis Guillemin7, Dominique Rey1, Alexandra Rouquette8,9, Anne-Déborah Bouhnik1, Julien Mancini1,10. 1. Aix Marseille Univ, INSERM, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Equipe CANBIOS Labellisée Ligue Contre le Cancer, Marseille, FR. 2. Institut Paoli-Calmettes, SESSTIM U1252, 232 Boulevard de Sainte-Marguerite, Marseille, FR. 3. CEPED, Université de Paris, IRD, Paris, FR. 4. University of California Berkeley and San Francisco, CA, US. 5. IMERA Mediterranean Institute for Advanced Study, Marseille, FR. 6. Santé Publique France, Saint-Maurice, FR. 7. CIC 1433 Clinical Epidemiology, Inserm, CHRU, University of Lorraine, Nancy, FR. 8. Public Health and Epidemiology Department, AP-HP, Bicêtre Hôpitaux Universitaires Paris Sud, Le Kremlin-Bicêtre, FR. 9. Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP, INSERM U1018, Villejuif, FR. 10. APHM, Hop Timone, BioSTIC, Biostatistique et Technologies de l'Information et de la Communication, Marseille, FR.
Abstract
BACKGROUND: Several countries have implemented mobile apps in an attempt to try to trace the contacts of cases of COVID-19 and therefore reduce the number of people infected with SARS-CoV-2. However, the effectiveness of this approach depends on the adherence of a large segment of the population. OBJECTIVE: Our aims were to estimate, the acceptability in France of a contact tracing app using mobile phones, and to investigate the barriers to its use. METHODS: The Health Literacy Survey 2019 survey questioned 1 003 people in France during the COVID-19 pandemic on the basis of quota sampling. It collected sociodemographic characteristics and health literacy but also information on communication with caregivers, trust in institutions, and COVID-19 knowledge and preventive behaviours. The acceptability of a mobile app for contact tracing was measured by a single question, the responses of which were grouped into three modalities: App-supporting, App-willing and App-reluctant. Multinomial logistic regression was used to identify the factors associated with the acceptability of a mobile app in the COVID-19 pandemic. RESULTS: Only 19.2% (193 out of 1 003) were App-supporting while half of the participants (n=504, 50.3%) were reluctant. The factors associated with willing or supporting the tracking app were: lower financial deprivation (respectively adjusted Odds Ratio=0.8, 95% Confidence Interval [0.69 - 0.93] and adjusted Odds Ratio=0.7, 95% Confidence Interval [0.58 - 0.84]) and higher perceived usefulness of using a mobile app to send health questionnaires to doctors (respectively adjusted Odds Ratio=2.3, 95% Confidence Interval [1.70 - 3.26] and adjusted Odds Ratio=3.1, 95% Confidence Interval [2.04 - 4.82]). Age over 60 (adjusted Odds Ratio=1.9, 95% Confidence Interval [1.13 - 3.22]), trust in political representatives (adjusted Odds Ratio=2.7, 95% Confidence Interval [1.72 - 4.23]), feeling concerned about the pandemic situation (adjusted Odds Ratio=2.2, 95% Confidence Interval [1.47 - 3.32]), and knowledge about the transmission of COVID-19 (adjusted Odds Ratio=2.0, 95% Confidence Interval [1.39 - 2.96]) increased the likelihood of supporting the tracking app. CONCLUSIONS: The most economically precarious people, who are more at risk of SARS-CoV-2, are also the most reluctant to use a contact tracing app. Therefore, optimal adherence can only be effective with a targeted discourse on public health benefits to adopt such an app which should be combined with a reduction in inequalities by acting on structural determinants.
BACKGROUND: Several countries have implemented mobile apps in an attempt to try to trace the contacts of cases of COVID-19 and therefore reduce the number of peopleinfected with SARS-CoV-2. However, the effectiveness of this approach depends on the adherence of a large segment of the population. OBJECTIVE: Our aims were to estimate, the acceptability in France of a contact tracing app using mobile phones, and to investigate the barriers to its use. METHODS: The Health Literacy Survey 2019 survey questioned 1 003 people in France during the COVID-19 pandemic on the basis of quota sampling. It collected sociodemographic characteristics and health literacy but also information on communication with caregivers, trust in institutions, and COVID-19 knowledge and preventive behaviours. The acceptability of a mobile app for contact tracing was measured by a single question, the responses of which were grouped into three modalities: App-supporting, App-willing and App-reluctant. Multinomial logistic regression was used to identify the factors associated with the acceptability of a mobile app in the COVID-19 pandemic. RESULTS: Only 19.2% (193 out of 1 003) were App-supporting while half of the participants (n=504, 50.3%) were reluctant. The factors associated with willing or supporting the tracking app were: lower financial deprivation (respectively adjusted Odds Ratio=0.8, 95% Confidence Interval [0.69 - 0.93] and adjusted Odds Ratio=0.7, 95% Confidence Interval [0.58 - 0.84]) and higher perceived usefulness of using a mobile app to send health questionnaires to doctors (respectively adjusted Odds Ratio=2.3, 95% Confidence Interval [1.70 - 3.26] and adjusted Odds Ratio=3.1, 95% Confidence Interval [2.04 - 4.82]). Age over 60 (adjusted Odds Ratio=1.9, 95% Confidence Interval [1.13 - 3.22]), trust in political representatives (adjusted Odds Ratio=2.7, 95% Confidence Interval [1.72 - 4.23]), feeling concerned about the pandemic situation (adjusted Odds Ratio=2.2, 95% Confidence Interval [1.47 - 3.32]), and knowledge about the transmission of COVID-19 (adjusted Odds Ratio=2.0, 95% Confidence Interval [1.39 - 2.96]) increased the likelihood of supporting the tracking app. CONCLUSIONS: The most economically precarious people, who are more at risk of SARS-CoV-2, are also the most reluctant to use a contact tracing app. Therefore, optimal adherence can only be effective with a targeted discourse on public health benefits to adopt such an app which should be combined with a reduction in inequalities by acting on structural determinants.
Authors: Miguel Ribeiro; Nuno Nunes; Greta Adamo; Bruna R Gouveia; Elvio Rubio Gouveia; Pedro Teixeira; Valentina Nisi Journal: JMIR Hum Factors Date: 2022-09-14