Literature DB >> 33577466

Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study.

Annelies G Blom1,2, Alexander Wenz1,2, Carina Cornesse1, Tobias Rettig1, Marina Fikel1, Sabine Friedel1, Katja Möhring1,2, Elias Naumann1, Maximiliane Reifenscheid1, Ulrich Krieger1.   

Abstract

BACKGROUND: During the COVID-19 pandemic, one way to reduce further transmissions of SARS-CoV-2 is the widespread use of contact tracing apps. Such apps keep track of proximity contacts and warn contacts of persons who tested positive for an infection.
OBJECTIVE: In this study, we analyzed potential barriers to the large-scale adoption of the official contact tracing app that was introduced in Germany on June 16, 2020.
METHODS: Survey data were collected from 3276 adults during the week the app was introduced using an offline-recruited, probability-based online panel of the general adult population in Germany.
RESULTS: We estimate that 81% of the population aged 18 to 77 years possess the devices and ability to install the official app and that 35% are also willing to install and use it. Potential spreaders show high access to devices required to install the app (92%) and high ability to install the app (91%) but low willingness (31%) to correctly adopt the app, whereas for vulnerable groups, the main barrier is access (62%).
CONCLUSIONS: The findings suggest a pessimistic view on the effectiveness of app-based contact tracing to contain the COVID-19 pandemic. We recommend targeting information campaigns at groups with a high potential to spread the virus but who are unwilling to install and correctly use the app, in particular men and those aged between 30 and 59 years. In addition, vulnerable groups, in particular older individuals and those in lower-income households, may be provided with equipment and support to overcome their barriers to app adoption. ©Annelies G Blom, Alexander Wenz, Carina Cornesse, Tobias Rettig, Marina Fikel, Sabine Friedel, Katja Möhring, Elias Naumann, Maximiliane Reifenscheid, Ulrich Krieger. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.03.2021.

Entities:  

Keywords:  COVID-19; app; contact tracing; coronavirus; digital health; digital technology; mobile health; mobile phone; smartphone; survey

Year:  2021        PMID: 33577466      PMCID: PMC7927947          DOI: 10.2196/23362

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  7 in total

Review 1.  Mobile Health Apps That Help With COVID-19 Management: Scoping Review.

Authors:  Hanson John Leon Singh; Danielle Couch; Kevin Yap
Journal:  JMIR Nurs       Date:  2020-08-06

2.  Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers.

Authors:  Guy Fagherazzi; Catherine Goetzinger; Mohammed Ally Rashid; Gloria A Aguayo; Laetitia Huiart
Journal:  J Med Internet Res       Date:  2020-06-16       Impact factor: 5.428

3.  Willingness to Participate in Passive Mobile Data Collection.

Authors:  Florian Keusch; Bella Struminskaya; Christopher Antoun; Mick P Couper; Frauke Kreuter
Journal:  Public Opin Q       Date:  2019-06-06

4.  Investigation of a COVID-19 outbreak in Germany resulting from a single travel-associated primary case: a case series.

Authors:  Merle M Böhmer; Udo Buchholz; Victor M Corman; Martin Hoch; Katharina Katz; Durdica V Marosevic; Stefanie Böhm; Tom Woudenberg; Nikolaus Ackermann; Regina Konrad; Ute Eberle; Bianca Treis; Alexandra Dangel; Katja Bengs; Volker Fingerle; Anja Berger; Stefan Hörmansdorfer; Siegfried Ippisch; Bernd Wicklein; Andreas Grahl; Kirsten Pörtner; Nadine Muller; Nadine Zeitlmann; T Sonia Boender; Wei Cai; Andreas Reich; Maria An der Heiden; Ute Rexroth; Osamah Hamouda; Julia Schneider; Talitha Veith; Barbara Mühlemann; Roman Wölfel; Markus Antwerpen; Mathias Walter; Ulrike Protzer; Bernhard Liebl; Walter Haas; Andreas Sing; Christian Drosten; Andreas Zapf
Journal:  Lancet Infect Dis       Date:  2020-05-15       Impact factor: 25.071

5.  Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES).

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2004-09-29       Impact factor: 5.428

6.  Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study.

Authors:  Samuel Altmann; Luke Milsom; Hannah Zillessen; Raffaele Blasone; Frederic Gerdon; Ruben Bach; Frauke Kreuter; Daniele Nosenzo; Séverine Toussaert; Johannes Abeler
Journal:  JMIR Mhealth Uhealth       Date:  2020-08-28       Impact factor: 4.773

7.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

Authors:  Luca Ferretti; Chris Wymant; David Bonsall; Christophe Fraser; Michelle Kendall; Lele Zhao; Anel Nurtay; Lucie Abeler-Dörner; Michael Parker
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

  7 in total
  15 in total

1.  Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps.

Authors:  Vahid Garousi; David Cutting; Michael Felderer
Journal:  J Syst Softw       Date:  2021-11-04       Impact factor: 2.829

2.  "Immuni" and the National Health System: Lessons Learnt from the COVID-19 Digital Contact Tracing in Italy.

Authors:  Silvia Ussai; Marco Pistis; Eduardo Missoni; Beatrice Formenti; Benedetta Armocida; Tatiana Pedrazzi; Francesco Castelli; Lorenzo Monasta; Baldassare Lauria; Ilaria Mariani
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

3.  Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator.

Authors:  Prasanta Kr Chopdar
Journal:  Health Policy Technol       Date:  2022-07-15       Impact factor: 5.211

4.  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

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.  Sensing pedestrian flows for real-time assessment of non-pharmaceutical policy interventions during the COVID-19 pandemic.

Authors:  Jonas Klingwort; Sofie Mmg De Broe; Sven A Brocker
Journal:  Int J Popul Data Sci       Date:  2022-01-12

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.  Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens.

Authors:  Stephanie Jansen-Kosterink; Marian Hurmuz; Marjolein den Ouden; Lex van Velsen
Journal:  JMIR Form Res       Date:  2021-12-20

9.  How Identification With the Social Environment and With the Government Guide the Use of the Official COVID-19 Contact Tracing App: Three Quantitative Survey Studies.

Authors:  Annika Scholl; Kai Sassenberg
Journal:  JMIR Mhealth Uhealth       Date:  2021-11-24       Impact factor: 4.773

10.  Hybrid harmony search algorithm for social network contact tracing of COVID-19.

Authors:  Ala'a Al-Shaikh; Basel A Mahafzah; Mohammad Alshraideh
Journal:  Soft comput       Date:  2021-06-28       Impact factor: 3.732

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