Preregistration

Sociodemographic determinants of download and use of a mHealth application for Corona contact tracing (Corona Warn App) in Germany – results of the COSMO study

Author(s) / Creator(s)

Grill, Eva

Abstract / Description

This study aims to analyze the association of sociodemographic characteristics of users to download and use of the Corona tracing app launched in Germany in June 2020 (“Corona Warn App”, CWA). Also, we want to examine attitudes towards the app stratified by selected population characteristics to understand barriers to successful use. Data from the most recent waves of the COVID-19 Snapshot Monitoring (COSMO) that contain items referring to the CWA (waves 15-19) will be used. Sociodemographic characteristics include age, gender, education, federal state, migrant status, number of children, presence of chronic disease, work status, income, smart phone use. Variables concerning CWA include information on download, use and opinions about functionality of the CWA. Main outcome parameter for CWA use will be the question “have you already downloaded the app”. Attitudes towards CWA will be analysed exploratively. Multiple logistic regression analyses will be used to assess the association of sets of potential sociodemographic predictors as independent variables.
Dataset for: Grill, E., Eitze, S., De Bock, F., Dragano, N., Huebl, L., Schmich, P., Wieler, L. H. & Betsch, C. (2021). Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany—Results of the COSMO surveys. PloS one, 16(9). https://doi.org/10.1371/journal.pone.0256660

Persistent Identifier

PsychArchives acquisition timestamp

2020-10-27 16:16:58 UTC

Publisher

PsychArchives

Citation

Grill, E. (2020). Sociodemographic determinants of download and use of a mHealth application for Corona contact tracing (Corona Warn App) in Germany – results of the COSMO study. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4279
  • Author(s) / Creator(s)
    Grill, Eva
  • PsychArchives acquisition timestamp
    2020-10-27T16:16:58Z
  • Made available on
    2020-10-27T16:16:58Z
  • Date of first publication
    2020-10-27
  • Abstract / Description
    This study aims to analyze the association of sociodemographic characteristics of users to download and use of the Corona tracing app launched in Germany in June 2020 (“Corona Warn App”, CWA). Also, we want to examine attitudes towards the app stratified by selected population characteristics to understand barriers to successful use. Data from the most recent waves of the COVID-19 Snapshot Monitoring (COSMO) that contain items referring to the CWA (waves 15-19) will be used. Sociodemographic characteristics include age, gender, education, federal state, migrant status, number of children, presence of chronic disease, work status, income, smart phone use. Variables concerning CWA include information on download, use and opinions about functionality of the CWA. Main outcome parameter for CWA use will be the question “have you already downloaded the app”. Attitudes towards CWA will be analysed exploratively. Multiple logistic regression analyses will be used to assess the association of sets of potential sociodemographic predictors as independent variables.
    en
  • Abstract / Description
    Dataset for: Grill, E., Eitze, S., De Bock, F., Dragano, N., Huebl, L., Schmich, P., Wieler, L. H. & Betsch, C. (2021). Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany—Results of the COSMO surveys. PloS one, 16(9). https://doi.org/10.1371/journal.pone.0256660
    en
  • Publication status
    other
    en
  • Review status
    unknown
    en
  • Sponsorship
    This work was supported by the German Research Foundation (BE3970/11-1, BE3970/12-1), Federal Centre for Health Education, Robert Koch Institute, Leibniz Institute of Psychology, Klaus Tschira Stiftung, Thüringer Ministerium für Wirtschaft, Wissenschaft und digitale Gesellschaft and University of Erfurt (no award/grant numbers).
    en
  • Citation
    Grill, E. (2020). Sociodemographic determinants of download and use of a mHealth application for Corona contact tracing (Corona Warn App) in Germany – results of the COSMO study. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.4279
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/3890
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.4279
  • Language of content
    eng
  • Publisher
    PsychArchives
    en
  • Is referenced by
    https://doi.org/10.1371/journal.pone.0256660
  • Is related to
    https://doi.org/10.23668/psycharchives.4218
  • Is related to
    https://doi.org/10.23668/psycharchives.4219
  • Is related to
    https://doi.org/10.23668/psycharchives.4220
  • Is related to
    https://doi.org/10.23668/psycharchives.4221
  • Is related to
    https://doi.org/10.23668/psycharchives.4222
  • Is related to
    https://doi.org/10.23668/psycharchives.2776
  • Is related to
    https://doi.org/10.23668/psycharchives.4713
  • Is related to
    https://doi.org/10.1371/journal.pone.0256660
  • Dewey Decimal Classification number(s)
    150
  • Title
    Sociodemographic determinants of download and use of a mHealth application for Corona contact tracing (Corona Warn App) in Germany – results of the COSMO study
    en
  • DRO type
    preregistration
    en
  • Visible tag(s)
    COSMO
    en
  • Visible tag(s)
    COSMO-DE
    en