Evidence map›Paper›PMID 33933234›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2021

Societal Effects Are a Major Factor for the Uptake of the Coronavirus Disease 2019 (COVID-19) Digital Contact Tracing App in The Netherlands.

Niek Mouter, Marion Collewet, G Ardine de Wit, Adrienne Rotteveel, Mattijs S Lambooij, Roselinde Kessels

Open access · hybridAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  11. Health Economics of Interventions to Tackle the Coronavirus 2019 Pandemic.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Niek MouterDelft University of Technology, Faculty of Technology, Policy and Management, Transport and Logistics Group, Delft, The Netherlands. Electronic address: n.mouter@tudelft.nl.
Marion CollewetMaastricht University, Department of Data Analytics and Digitalization, Maastricht, The Netherlands.
G Ardine de WitNational Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands; Utrecht University, University Medical Center Utrecht, Juliuscenter for Health Sciences and Primary Care, Utrecht, The Netherlands.
Adrienne RotteveelNational Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.
Mattijs S LambooijNational Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.
Roselinde KesselsLeiden University, Department of Economics, Institute of Tax Law and Economics, Leiden Law School, The Netherlands; University of Antwerp, Department of Economics, Antwerp, Belgium.
National Institute for Public Health and the Environment · NLDelft University of Technology · NLLeiden University · NLMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Social ChangeContact TracingCOVID-19Health PolicyHumansMobile ApplicationsNetherlandsPublic HealthSurveys and QuestionnairescoronavirusCOVID-19digital contact tracing appdiscrete choice experimentpreferencesSARS-CoV-2societal effects

Identifiers

PMID33933234
PMCPMC7943373
OpenAlexW3135053627

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.