Back to Search
Start Over
Trust and transparency in times of crisis: Results from an online survey during the first wave (April 2020) of the COVID-19 epidemic in the UK
- Source :
- PLoS ONE, PLoS One, PLoS ONE, Vol 16, Iss 2, p e0239247 (2021)
- Publication Year :
- 2020
-
Abstract
- Background The success of a government’s COVID-19 control strategy relies on public trust and broad acceptance of response measures. We investigated public perceptions of the UK government’s COVID-19 response, focusing on the relationship between trust and perceived transparency, during the first wave (April 2020) of the COVID-19 pandemic in the United Kingdom. Methods Anonymous survey data were collected (2020-04-06 to 2020-04-22) from 9,322 respondents, aged 20+ using an online questionnaire shared primarily through Facebook. We took an embedded-mixed-methods approach to data analysis. Missing data were imputed via multiple imputation. Binomial & multinomial logistic regression were used to detect associations between demographic characteristics and perceptions or opinions of the UK government’s response to COVID-19. Structural topic modelling (STM), qualitative thematic coding of sub-sets of responses were then used to perform a thematic analysis of topics that were of interest to key demographic groups. Results Most respondents (95.1%) supported government enforcement of behaviour change. While 52.1% of respondents thought the government was making good decisions, differences were apparent across demographic groups, for example respondents from Scotland had lower odds of responding positively than respondents in London. Higher educational levels saw decreasing odds of having a positive opinion of the government response and decreasing household income associated with decreasing positive opinion. Of respondents who thought the government was not making good decisions 60% believed the economy was being prioritised over people and their health. Positive views on government decision-making were associated with positive views on government transparency about the COVID-19 response. Qualitative analysis about perceptions of government transparency highlighted five key themes: (1) the justification of opacity due to the condition of crisis, (2) generalised mistrust of politics, (3) concerns about the role of scientific evidence, (4) quality of government communication and (5) questions about political decision-making processes. Conclusion Our study suggests that trust is not homogenous across communities, and that generalised mistrust, concerns about the transparent use and communication of evidence and insights into decision-making processes can affect perceptions of the government’s pandemic response. We recommend targeted community engagement, tailored to the experiences of different groups and a new focus on accountability and openness around how decisions are made in the response to the UK COVID-19 pandemic.
- Subjects :
- Viral Diseases
Epidemiology
Social Sciences
Computer-assisted web interviewing
030204 cardiovascular system & hematology
Surveys
Geographical locations
Governments
0302 clinical medicine
Medical Conditions
Cognition
Psychological Attitudes
Surveys and Questionnaires
Medicine and Health Sciences
Psychology
030212 general & internal medicine
Multidisciplinary
Public relations
Europe
Infectious Diseases
England
Research Design
Accountability
Medicine
Thematic analysis
Research Article
Science
Political Science
Decision Making
Public Policy
Trust
Research and Analysis Methods
03 medical and health sciences
Humans
European Union
Pandemics
Government
Survey Research
business.industry
Cognitive Psychology
COVID-19
Biology and Life Sciences
Covid 19
Transparency (behavior)
United Kingdom
Attitude
Socioeconomic Factors
Scotland
Communicable Disease Control
Public trust
Household income
Survey data collection
Cognitive Science
People and places
business
Neuroscience
Subjects
Details
- ISSN :
- 19326203 and 14685833
- Volume :
- 16
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....6ec17294312cb385c244269f565d8508