ArticleJournal of medical Internet research2020
Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 5 of them syntheses that pooled it.
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Who cites it
59 citing papers in PubMed, 5 syntheses or guidelines pooled it, 131 citations in OpenAlex.
- Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis.BMC medical informatics and decision making · 2023Pooled it
- Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations.Frontiers in digital health · 2022Pooled it
- Characteristics and determinants of population acceptance of COVID-19 digital contact tracing: a systematic review.Acta bio-medica : Atenei Parmensis · 2021Pooled it
- Pooled it
- State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Discrimination and technology-based disease control.PloS one · 2026Article
- Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19.International journal of disaster risk reduction : IJDRR · 2023Review
- The Impact of Individuals' Social Environments on Contact Tracing App Use: Survey Study.JMIR human factors · 2023Article
- Observational study of organisational responses of 17 US hospitals over the first year of the COVID-19 pandemic.BMJ open · 2023Observational
- Factors associated with non-pharmaceutical interventions compliance during COVID-19 pandemic: a Portuguese cross-sectional survey.Journal of public health (Oxford, England) · 2023Article
- Antecedent, behaviour, and consequence (a-b-c) of deploying the contact tracing app in response to COVID-19: Evidence from Europe.Technological forecasting and social change · 2023Article
- Self-care for coronavirus disease through electronic health technologies: A scoping review.Health science reports · 2023Article
- The role of e-health on the public knowledge and behavior in preventing COVID-19.Informatics in medicine unlocked · 2023Article
- Personal protective behaviors in response to COVID-19: a longitudinal application of protection motivation theory.Frontiers in psychology · 2023Article
- Continued Use of Contact-Tracing Apps in the United States and the United Kingdom: Insights From a Comparative Study Through the Lens of the Health Belief Model.JMIR formative research · 2022Article
- Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study.Journal of medical Internet research · 2022Article
- The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert.JMIR formative research · 2022Article
- Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator.Health policy and technology · 2022Article
- Fantastic perspectives and where to find them: involving patients and citizens in digital health research.Research involvement and engagement · 2022Article
- Factors impacting the use of the NZ COVID Tracer application in New Zealand".Smart health (Amsterdam, Netherlands) · 2022Review
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe current COVID-19 pandemic is showing negative effects on human health as well as on social and economic life. It is a critical and challenging task to revive public life while minimizing the risk of infection. Reducing interactions between people by social distancing is an effective and prevalent measure to reduce the risk of infection and spread of the virus within a community. Current developments in several countries show that this measure can be technologically accompanied by mobile apps; meanwhile, privacy concerns are being intensively discussed.
objectiveThe aim of this study was to examine central cognitive variables that may constitute people's motivations for social distancing, using an app, and providing health-related data requested by two apps that differ in their direct utility for the individual user. The results may increase our understanding of people's concerns and convictions, which can then be specifically addressed by public-oriented communication strategies and appropriate political decisions.
methodsThis study refers to the protection motivation theory, which is adaptable to both health-related and technology-related motivations. The concept of social trust was added. The quantitative survey included answers from 406 German-speaking participants who provided assessments of data security issues, trust components, and the processes of threat and coping appraisal related to the prevention of SARS-CoV-2 infection by social distancing. With respect to apps, one central focus was on the difference between a contact tracing app and a data donation app.
resultsMultiple regression analyses showed that the present model could explain 55% of the interindividual variance in the participants' motivation for social distancing, 46% for using a contact tracing app, 42% for providing their own infection status to a contact tracing app, and 34% for using a data donation app. Several cognitive components of threat and coping appraisal were related to motivation measurements. Trust in other people's social distancing behavior and general trust in official app providers also played important roles; however, the participants' age and gender did not. Motivations for using and accepting a contact tracing app were higher than those for using and accepting a data donation app.
conclusionsThis study revealed some important cognitive factors that constitute people's motivation for social distancing and using apps to combat the COVID-19 pandemic. Concrete implications for future research, public-oriented communication strategies, and appropriate political decisions were identified and are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.