Evidence map›Paper›PMID 36279793›Full record

ArticleSocial science & medicine (1982)2022

Stepping into the shoes of the policy maker: Results of a Participatory Value Evaluation for the Dutch long term COVID-19 strategy.

Niek Mouter, Karen Trujillo Jara, Jose Ignacio Hernandez, Maarten Kroesen, Martijn de Vries, Tom Geijsen, Floor Kroese, Ellen Uiters, Marijn de Bruin

Open access · hybridAbstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Who Talks About Flood Risks and Climate Change Adaptation? Analysis of Social Interactions in Three Countries.Risk analysis : an official publication of the Society for Risk Analysis · 2026
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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

9 authors at 6 institutions in 2 countries.

Niek MouterDelft University of Technology, Faculty of Technology, Policy and Management, Transport and Logistics Group, Jaffalaan 5, 2628 BX. Delft, the Netherlands; Populytics, Research Agency, Frambozenweg, 136 2321, KA, Leiden, the Netherlands. Electronic address: n.mouter@tudelft.nl.
Karen Trujillo JaraErasmus University Rotterdam Erasmus School of Health Policy & Management, the Netherlands.
Jose Ignacio HernandezDelft University of Technology, Faculty of Technology, Policy and Management, Transport and Logistics Group, Jaffalaan 5, 2628 BX. Delft, the Netherlands.
Maarten KroesenDelft University of Technology, Faculty of Technology, Policy and Management, Transport and Logistics Group, Jaffalaan 5, 2628 BX. Delft, the Netherlands.
Martijn de VriesDelft University of Technology, Faculty of Technology, Policy and Management, Transport and Logistics Group, Jaffalaan 5, 2628 BX. Delft, the Netherlands; Populytics, Research Agency, Frambozenweg, 136 2321, KA, Leiden, the Netherlands.
Tom GeijsenPopulytics, Research Agency, Frambozenweg, 136 2321, KA, Leiden, the Netherlands.
Floor KroeseNational Institute of Public Health and the Environment, Bilthoven, the Netherlands; Utrecht University, Faculty of Social Sciences, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.
Ellen UitersNational Institute of Public Health and the Environment, Bilthoven, the Netherlands.
Marijn de BruinNational Institute of Public Health and the Environment, Bilthoven, the Netherlands; Institute of Health Sciences, IQ Healthcare, Radboud University Medical Center Nijmegen, the Netherlands.
Centre for Human Drug Research · NLDelft University of Technology · NLErasmus University Rotterdam · NLNational Institute for Public Health and the Environment · NLRadboud University Nijmegen · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 outbreak early 2020 was followed by an unprecedented package of measures. The relative calmness of the pandemic early 2022 provides a momentum to prepare for various scenarios.

objectivesAs acceptance of COVID-19 measures is key for public support we investigated citizens' preferences towards imposing measures in four scenarios: 1) spring/summer scenario with few hospitalizations; 2) autumn/winter scenario with many hospitalizations; 3) a new contagious variant, the impact on hospitalizations is unclear; 4) a new contagious variant, hospitalizations will substantially increase.

methodsStudy 1 comprised a Participatory Value Evaluation (PVE) in which 2011 respondents advised their government on which measures to impose in the four scenarios. Respondents received information regarding the impact of each measure on the risk that the health system would be overloaded. To triangulate the results, 2958 respondents in Study 2 evaluated the acceptability of the measures in each scenario.

resultsMeasures were ranked similarly by respondents in Study 1 and 2: 1) the majority of respondents thought that hygiene measures should be upheld, even in the spring/summer; 2) the majority supported booster vaccination, working from home, encouraging self-testing, and mandatory face masks from scenario 2 onwards; 3) even in scenario 4, lockdown measures were not supported by the majority. Young respondents were willing to accept more risks for the health system than older respondents.

conclusionThe results suggest that policies that focus on prevention (through advising low-impact hygiene measures) and early response to moderate threats (by scaling up to moderately restrictive measures and boostering) can count on substantial support. There is low support for lockdown measures even under high-risk conditions, which further emphasizes the importance of prevention and a timely response to new threats. Our results imply that young citizens' concerns, in particular, should be addressed when restrictive COVID-19 measures are to be implemented.

Indexed as

Communicable Disease ControlCOVID-19Administrative PersonnelHumansSARS-CoV-2Choice experimentCOVID-19Health policyParticipatory value evaluationPublic participationPublic preferencesSARS-CoV-2Scenarios

Identifiers

PMID36279793
PMCPMC9556804
OpenAlexW4304890946

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.