Evidence map›Paper›PMID 34909051›Full record

ArticleRegulation & governance2021

What drives compliance with COVID-19 measures over time? Explaining changing impacts with Goal Framing Theory.

Frédérique Six, Steven de Vadder, Monika Glavina, Koen Verhoest, Koen Pepermans

Open access · hybridAbstract read
In one paragraph

Article in Regulation & governance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
15.9field-weighted citation impact, top 1% 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

10 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evaluation of the US Definitions for Coronavirus Disease 2019 Community Risk Levels.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  6. Social Environment and Attitudes toward COVID-19 Anti-Contagious Measures: An Explorative Study from Italy.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
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

5 authors at 1 institution in 2 countries.

Frédérique SixResearch Group Politics and Public Governance University of Antwerp GOVTRUST Centre of Excellence Antwerp Belgium.ORCID https://orcid.org/0000-0003-0342-9622
Steven de VadderResearch Group Politics and Public Governance University of Antwerp GOVTRUST Centre of Excellence Antwerp Belgium.ORCID https://orcid.org/0000-0001-5101-622X
Monika GlavinaFaculty of Social Sciences, Research Group Politics and Public Governance University of Antwerp GOVTRUST Centre of Excellence Antwerp Belgium.
Koen VerhoestResearch Group Politics and Public Governance University of Antwerp GOVTRUST Centre of Excellence Antwerp Belgium.ORCID https://orcid.org/0000-0002-5467-3820
Koen PepermansUniversity of Antwerp Antwerp Belgium.ORCID https://orcid.org/0000-0001-7294-9491
University of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic provides a unique opportunity to study which factors drive compliance and how the evolving context in society -virus fluctuations and changing government measures - changes the impact of these factors. Extant literature lists many factors that drive compliance - notably enforcement, trust, legitimacy. Most of these studies, however, do not look across time: whether a changing context for citizens changes the impact of factors driving compliance. In this study, we use Lindenberg's Goal Framing Theory to explain the dynamics of these drivers of compliance during the COVID-19 pandemic. We formulate hypotheses for pro-socialness, trust in government, observed respect for rules, rule effectiveness, rule appropriateness, fear of COVID-19 (severity and proximity), opportunities for pleasure and happiness, as well as worsened income position. We test our hypotheses with data collected at three different moments during the beginning of the COVID-19 crisis in Flanders, Belgium. Findings show that over time the constellations of factors that drive compliance change and, later in the pandemic, more distinct groups of citizens with different motivations to comply are identified. The overall conclusion is that the voluntary basis for compliance becomes more fragile over time, with a more differentiated pattern of drivers of compliance emerging. Public policy and communication need to adapt to these changes over time and address different groups of citizens.

Indexed as

complianceCOVID‐19fearGoal Framing Theorysocial contagiontrust

Identifiers

PMID34909051
PMCPMC8661714
OpenAlexW3201762586

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.