Literature DB >> 33326411

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis.

Viktor von Wyl1,2, Marc Höglinger3, Chloé Sieber1, Marco Kaufmann1, André Moser1, Miquel Serra-Burriel1, Tala Ballouz1, Dominik Menges1, Anja Frei1, Milo Alan Puhan1.   

Abstract

BACKGROUND: Digital proximity tracing apps have been released to mitigate the transmission of SARS-CoV-2, the virus known to cause COVID-19. However, it remains unclear how the acceptance and uptake of these apps can be improved.
OBJECTIVE: This study aimed to investigate the coverage of the SwissCovid app and the reasons for its nonuse in Switzerland during a period of increasing incidence of COVID-19 cases.
METHODS: We collected data between September 28 and October 8, 2020, via a nationwide online panel survey (COVID-19 Social Monitor, N=1511). We examined sociodemographic and behavioral factors associated with app use by using multivariable logistic regression, whereas reasons for app nonuse were analyzed descriptively.
RESULTS: Overall, 46.5% (703/1511) of the survey participants reported they used the SwissCovid app, which was an increase from 43.9% (662/1508) reported in the previous study wave conducted in July 2020. A higher monthly household income (ie, income >CHF 10,000 or >US $11,000 vs income ≤CHF 6000 or <US $6600 [reference]: odds ratio [OR] 1.92, 95% CI 1.40-2.64), more frequent internet use (ie, daily [reference] vs less than weekly: OR 0.37, 95% CI 0.16-0.85), better adherence to recommendations for wearing masks (ie, always or most of the time [reference] vs rarely or never: OR 0.28, 95% CI 0.15-0.52), and nonsmoker status (OR 1.32, 95% CI 1.01-1.71) were associated with an increased likelihood for app uptake. Citizenship status (ie, non-Swiss citizenship vs. Swiss [reference]: OR 0.61, 95% CI 0.43-0.87), and language region (French vs Swiss German [reference]: OR 0.61, 95% CI 0.46-0.80) were associated with a lower likelihood for app uptake. Further analysis in a randomly selected subsample (n=712) with more detailed information showed that higher levels of trust in government and health authorities were also associated with a higher likelihood for app uptake (ie, high vs low [reference] trust: OR 3.13, 95% CI 1.58-6.22). The most frequent reasons for app nonuse were lack of perceived benefit of using the app (297/808, 36.8%), followed by the lack of a compatible phone (184/808, 22.8%), and privacy concerns (181/808, 22.4%).
CONCLUSIONS: Eliminating technical hurdles and communicating the benefits of digital proximity tracing apps are crucial to promote further uptake and adherence of such apps and, ultimately, enhance their effectiveness to aid pandemic mitigation strategies. ©Viktor von Wyl, Marc Höglinger, Chloé Sieber, Marco Kaufmann, André Moser, Miquel Serra-Burriel, Tala Ballouz, Dominik Menges, Anja Frei, Milo Alan Puhan. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 06.01.2021.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; acceptance; communication; compliance; digital contact tracing; digital proximity tracing; mHealth; tracing; uptake; usability

Year:  2021        PMID: 33326411     DOI: 10.2196/25701

Source DB:  PubMed          Journal:  JMIR Public Health Surveill        ISSN: 2369-2960


  19 in total

1.  Drivers of downloading and reasons for not downloading COVID-19 contact tracing and exposure notification apps: A national cross-sectional survey.

Authors:  Golden Gao; Raynell Lang; Robert J Oxoby; Mehdi Mourali; Hasan Sheikh; Madison M Fullerton; Theresa Tang; Braden J Manns; Deborah A Marshall; Jia Hu; Jamie L Benham
Journal:  PLoS One       Date:  2022-07-15       Impact factor: 3.752

2.  What Went Wrong with the IMMUNI Contact-Tracing App in Italy? A Cross-Sectional Survey on the Attitudes and Experiences among Healthcare University Students.

Authors:  Claudia Isonne; Maria Roberta De Blasiis; Federica Turatto; Elena Mazzalai; Carolina Marzuillo; Corrado De Vito; Paolo Villari; Valentina Baccolini
Journal:  Life (Basel)       Date:  2022-06-10

Review 3.  Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature.

Authors:  James O'Connell; Manzar Abbas; Sarah Beecham; Jim Buckley; Muslim Chochlov; Brian Fitzgerald; Liam Glynn; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; Michael O'Callaghan; Ian O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Andrew Simpkin; Cristiano Storni; Damyanka Tsvyatkova; Jane Walsh; Thomas Welsh; Derek O'Keeffe
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-07       Impact factor: 4.773

4.  Stochastic sampling effects favor manual over digital contact tracing.

Authors:  Marco Mancastroppa; Claudio Castellano; Alessandro Vezzani; Raffaella Burioni
Journal:  Nat Commun       Date:  2021-03-26       Impact factor: 14.919

5.  The Dutch COVID-19 Contact Tracing App (the CoronaMelder): Usability Study.

Authors:  Britt Elise Bente; Jan Willem Jaap Roderick van 't Klooster; Maud Annemarie Schreijer; Lea Berkemeier; Joris Elmar van Gend; Peter Jan Hendrik Slijkhuis; Saskia Marion Kelders; Julia Elisabeth Wilhelmina Cornelia van Gemert-Pijnen
Journal:  JMIR Form Res       Date:  2021-03-26

6.  Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis.

Authors:  Jan-Patrick Weiß; Moritz Esdar; Ursula Hübner
Journal:  JMIR Mhealth Uhealth       Date:  2021-03-26       Impact factor: 4.773

7.  Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study.

Authors:  Michel Walrave; Cato Waeterloos; Koen Ponnet
Journal:  JMIR Public Health Surveill       Date:  2022-01-14

8.  The case for wearable proximity devices to inform physical distancing among healthcare workers.

Authors:  Sara C Keller; Alejandra B Salinas; Opeyemi Oladapo-Shittu; Sara E Cosgrove; Robin Lewis-Cherry; Patience Osei; Ayse P Gurses; Ron Jacak; Kristina K Zudock; Kianna M Blount; Kenneth V Bowden; Clare Rock; Anna C Sick-Samuels; Briana Vecchio-Pagan
Journal:  JAMIA Open       Date:  2021-11-30

9.  Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan.

Authors:  Masahiro Shoji; Asei Ito; Susumu Cato; Takashi Iida; Kenji Ishida; Hiroto Katsumata; Kenneth Mori McElwain
Journal:  JMIR Mhealth Uhealth       Date:  2021-08-19       Impact factor: 4.947

10.  Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis.

Authors:  Paola Daniore; Vasileios Nittas; André Moser; Marc Höglinger; Viktor von Wyl
Journal:  JMIR Public Health Surveill       Date:  2021-12-06
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