@article{fdi:010082770, title = {{E}arly acceptability of a mobile app for contact tracing during the {COVID}-19 pandemic in {F}rance : national web-based survey}, author = {{T}ouzani, {R}. and {S}chultz, {E}milien and {H}olmes, {S}. {M}. and {V}andentorren, {S}. and {A}rwidson, {P}. and {G}uillemin, {F}. and {R}ey, {D}. and {R}ouquette, {A}. and {B}ouhnik, {A}. {D}. and {M}ancini, {J}.}, editor = {}, language = {{ENG}}, abstract = {{B}ackground: {S}everal 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}-{C}o{V}-2. {H}owever, the effectiveness of this approach depends on the adherence of a large segment of the population. {O}bjective: {T}he aims of this study were to evaluate the acceptability of a {COVID}-19 contact tracing mobile app among the {F}rench population and to investigate the barriers to its use. {M}ethods: {T}he {H}ealth {L}iteracy {S}urvey 2019 questioned 1003 people in {F}rance during the {COVID}-19 pandemic on the basis of quota sampling. {T}he 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. {T}he 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. {M}ultinomial logistic regression analysis was performed to identify the factors associated with the acceptability of a mobile app during the {COVID}-19 pandemic. {R}esults: {O}nly 19.2% (193/1003) of all participants were app-supporting, whereas half of them (504/1003, 50.3%) were reluctant. {T}he factors associated with willingness or support toward the contact tracing app included lower financial deprivation (app-willing: adjusted odds ratio [a{OR}] 0.8, 95% {CI} 0.69-0.93; app-supporting: a{OR} 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: a{OR} 2.3, 95% {CI} 1.70-3.26; app-supporting: a{OR} 3.1, 95% {CI} 2.04-4.82). {F}urthermore, the likelihood of supporting the mobile app increased with age over 60 years (a{OR} 1.9, 95% {CI} 1.13-3.22), trust in political representatives (a{OR} 2.7, 95% {CI} 1.72-4.23), feeling concerned about the pandemic situation (a{OR} 2.2, 95% {CI} 1.47-3.32), and knowledge about the transmission of {COVID}-19 (a{OR} 2.0, 95% {CI} 1.39-2.96). {C}onclusions: {T}he most socioeconomically precarious people, who are at a higher risk of {SARS}-{C}o{V}-2 infection, are also the most reluctant to using a contact tracing mobile app. {T}herefore, 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.}, keywords = {{COVID}-19 ; mobile app ; contact tracing ; {HLS}19 ; health care disparities ; public health ; {FRANCE}}, booktitle = {}, journal = {{JMIR} m{H}ealth and u{H}ealth}, volume = {9}, numero = {7}, pages = {e27768 [13 ]}, ISSN = {2291-5222}, year = {2021}, DOI = {10.2196/27768}, URL = {https://www.documentation.ird.fr/hor/fdi:010082770}, }