Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps. Empirical Study

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dc.contributor.authorGroße Deters, Fenne
dc.contributor.authorMeier, Tabea
dc.contributor.authorMilek, Anne
dc.contributor.authorHorn, Andrea B.
dc.date.accessioned2023-08-30T14:18:50Z
dc.date.available2023-08-30T14:18:50Z
dc.date.issued2021
dc.description.abstract**Background:** Corona contact tracing apps are a novel and promising measure to reduce the spread of COVID-19. They can help to balance the need to maintain normal life and economic activities as much as possible while still avoiding exponentially growing case numbers. However, a majority of citizens need to be willing to install such an app for it to be effective. Hence, knowledge about drivers for app uptake is crucial. **Objective:** This study aimed to add to our understanding of underlying psychological factors motivating app uptake. More specifically, we investigated the role of concern for one’s own health and concern to unknowingly infect others. **Methods:** A two-wave survey with 346 German-speaking participants from Switzerland and Germany was conducted. We measured the uptake of two decentralized contact tracing apps officially launched by governments (Corona-Warn-App, Germany; SwissCovid, Switzerland), as well as concerns regarding COVID-19 and control variables. **Results:** Controlling for demographic variables and general attitudes toward the government and the pandemic, logistic regression analysis showed a significant effect of self-focused concerns (odds ratio [OR] 1.64, P=.002). Meanwhile, concern of unknowingly infecting others did not contribute significantly to the prediction of app uptake over and above concern for one’s own health (OR 1.01, P=.92). Longitudinal analyses replicated this pattern and showed no support for the possibility that app uptake provokes changes in levels of concern. Testing for a curvilinear relationship, there was no evidence that “too much” concern leads to defensive reactions and reduces app uptake. **Conclusions:** As one of the first studies to assess the installation of already launched corona tracing apps, this study extends our knowledge of the motivational landscape of app uptake. Based on this, practical implications for communication strategies and app design are discussed.en
dc.identifier.citationGroße Deters, F., Meier, T., Milek, A., & Horn, A. B. (2021). Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study. Journal of Medical Internet Research, 23(8), e29268. https://doi.org/10.2196/29268
dc.identifier.doihttps://doi.org/10.2196/29268
dc.identifier.eissn1438-8871
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/211
dc.identifier.zdb2028830-X
dc.language.isoeng
dc.relation.issupplementedbyhttps://www.weizenbaum-library.de/handle/id/822
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectcorona contact tracing app
dc.subjectdigital proximity tracing
dc.subjectpreventive behavior
dc.subjecthealth concern
dc.subjectprosocial motivation
dc.subjectpublic health
dc.subjectrisk perception
dc.subjecteHealth
dc.subjectCorona-Warn-App
dc.subjectSwissCovid
dc.subjectcontact tracing app
dc.subjectcontact tracing
dc.subject.ddc610 Medizin, Gesundheit
dc.subject.ddc004 Informatik
dc.titleSelf-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps. Empirical Study
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.articlenumbere29268
dcterms.bibliographicCitation.issue8
dcterms.bibliographicCitation.issue8
dcterms.bibliographicCitation.journaltitleJournal of Medical Internet Research
dcterms.bibliographicCitation.volume23
local.researchgroupDigitale Technologien und Wohlbefinden
local.researchtopicMensch – Arbeit – Wissen
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