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Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey.
Touzani, Rajae; Schultz, Emilien; Holmes, Seth M; Vandentorren, Stéphanie; Arwidson, Pierre; Guillemin, Francis; Rey, Dominique; Rouquette, Alexandra; Bouhnik, Anne-Déborah; Mancini, Julien.
  • Touzani R; 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, France.
  • Schultz E; Institut Paoli-Calmettes, SESSTIM U1252, Marseille, France.
  • Holmes SM; 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, France.
  • Vandentorren S; CEPED, Université de Paris, IRD, Paris, France.
  • Arwidson P; Institut Paoli-Calmettes, SESSTIM U1252, Marseille, France.
  • Guillemin F; IMERA Mediterranean Institute for Advanced Study, Marseille, France.
  • Rey D; Society and Environment, Rausser College of Natural Resources, University of California, Berkeley, Berkeley, CA, United States.
  • Rouquette A; Medical Anthropology, Department of Anthropology, University of California, Berkeley, Berkeley, CA, United States.
  • Bouhnik AD; School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
  • Mancini J; Santé Publique France, Saint-Maurice, France.
JMIR Mhealth Uhealth ; 9(7): e27768, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1317177
ABSTRACT

BACKGROUND:

Several countries have implemented mobile apps in an attempt to trace close contacts of patients with COVID-19 and, in turn, reduce the spread of SARS-CoV-2. However, the effectiveness of this approach depends on the adherence of a large segment of the population.

OBJECTIVE:

The aims of this study were to evaluate the acceptability of a COVID-19 contact tracing mobile app among the French population and to investigate the barriers to its use.

METHODS:

The Health Literacy Survey 2019 questioned 1003 people in France during the COVID-19 pandemic on the basis of quota sampling. The survey collected sociodemographic characteristics and health literacy data, as well as information on participants' communication with caregivers, trust in institutions, and COVID-19 knowledge and preventive behaviors. The acceptability of a mobile app for contact tracing was measured by a single question, the responses to which were grouped into three modalities app-supporting, app-willing, and app-reluctant. Multinomial logistic regression analysis was performed to identify the factors associated with the acceptability of a mobile app during the COVID-19 pandemic.

RESULTS:

Only 19.2% (193/1003) of all participants were app-supporting, whereas half of them (504/1003, 50.3%) were reluctant. The factors associated with willingness or support toward the contact tracing app included lower financial deprivation (app-willing adjusted odds ratio [aOR] 0.8, 95% CI 0.69-0.93; app-supporting aOR 0.7, 95% CI 0.58-0.84) and higher perceived usefulness of using a mobile app to send completed health questionnaires to doctors (app-willing aOR 2.3, 95% CI 1.70-3.26; app-supporting aOR 3.1, 95% CI 2.04-4.82). Furthermore, the likelihood of supporting the mobile app increased with age over 60 years (aOR 1.9, 95% CI 1.13-3.22), trust in political representatives (aOR 2.7, 95% CI 1.72-4.23), feeling concerned about the pandemic situation (aOR 2.2, 95% CI 1.47-3.32), and knowledge about the transmission of COVID-19 (aOR 2.0, 95% CI 1.39-2.96).

CONCLUSIONS:

The most socioeconomically precarious people, who are at a higher risk of SARS-CoV-2 infection, are also the most reluctant to using a contact tracing mobile 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mobile Applications / COVID-19 Type of study: Prognostic study Limits: Humans / Middle aged Country/Region as subject: Europa Language: English Journal: JMIR Mhealth Uhealth Year: 2021 Document Type: Article Affiliation country: 27768

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mobile Applications / COVID-19 Type of study: Prognostic study Limits: Humans / Middle aged Country/Region as subject: Europa Language: English Journal: JMIR Mhealth Uhealth Year: 2021 Document Type: Article Affiliation country: 27768