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Societal Effects Are a Major Factor for the Uptake of the Coronavirus Disease 2019 (COVID-19) Digital Contact Tracing App in The Netherlands
- Source :
- Value in Health, 24(5), 658-667. Elsevier Science, Value in health, Value in Health, 24(5), Value in Health, Value in Health, 24(5), 658-667
- Publication Year :
- 2021
-
Abstract
- ObjectivesOur study investigates the extent to which uptake of a COVID-19 digital contact-tracing (DCT) app among the Dutch population is affected by its configurations, its societal effects, and government policies toward such an app.MethodsWe performed a discrete choice experiment among Dutch adults including 7 attributes, that is, who gets a notification, waiting time for testing, possibility for shops to refuse customers who have not installed the app, stopping condition for contact tracing, number of people unjustifiably quarantined, number of deaths prevented, and number of households with financial problems prevented. The data were analyzed by means of panel mixed logit models.ResultsThe prevention of deaths and financial problems of households had a very strong influence on the uptake of the app. Predicted app uptake rates ranged from 24% to 78% for the worst and best possible app for these societal effects. We found a strong positive relationship between people’s trust in government and people’s propensity to install the DCT app.ConclusionsThe uptake levels we find are much more volatile than the uptake levels predicted in comparable studies that did not include societal effects in their discrete choice experiments. Our finding that the societal effects are a major factor in the uptake of the DCT app results in a chicken-or-the-egg causality dilemma. That is, the societal effects of the app are severely influenced by the uptake of the app, but the uptake of the app is severely influenced by its societal effects.
- Subjects :
- Waiting time
Coronavirus disease 2019 (COVID-19)
Economics
societal effects
digital contact tracing app
coronavirus
Discrete choice experiment
Article
03 medical and health sciences
0302 clinical medicine
Mixed logit
Environmental health
Surveys and Questionnaires
mental disorders
Humans
030212 general & internal medicine
Social Change
Health policy
preferences
Netherlands
Government
SARS-CoV-2
030503 health policy & services
Health Policy
discrete choice experiment
Public Health, Environmental and Occupational Health
COVID-19
Mobile Applications
BAYESIAN OPTIMAL DESIGNS
Positive relationship
Business
Public Health
Human medicine
Contact Tracing
0305 other medical science
Contact tracing
Subjects
Details
- Language :
- English
- ISSN :
- 10983015
- Database :
- OpenAIRE
- Journal :
- Value in Health, 24(5), 658-667. Elsevier Science, Value in health, Value in Health, 24(5), Value in Health, Value in Health, 24(5), 658-667
- Accession number :
- edsair.doi.dedup.....20fb7a06962ae8138b9e3eb36e1356f5