Evidence map›Paper›PMID 37214163›Full record

ArticlePreventive medicine reports2023

Individualism, economic development, and democracy as determinants of COVID-19 risk information on 132 government websites.

Jiun-Yi Tsai, Tsung-Jen Shih, Tien-I Tsai, Shao-Man Lee, Chih-Ming Liang

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiun-Yi TsaiSchool of Communication, Northern Arizona University, United States.
Tsung-Jen ShihInternational Master's Program in International Communication Studies, Taiwan Institute for Governance and Communication Research, National Chengchi University, Taiwan.
Tien-I TsaiDepartment of Library and Information Science, National Taiwan University, Taiwan.
Shao-Man LeeMiin Wu School of Computing, National Cheng Kung University, Taiwan.
Chih-Ming LiangGraduate Institute of Health and Biotechnology Law, College of Humanities and Social Sciences, Taipei Medical University, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about how governments transparently communicate about COVID-19. This study conducted a content analysis of 132 government COVID-19 websites to identify the salience of health messages (i.e., perceived threat, perceived efficacy, and perceived resilience) and cross-national determinants of information provision. Multinomial logistic regression was used to estimate the relationship between country-level predictors (i.e., economic development, democracy scores, and individualism index) and information salience. The numbers of deaths, discharged patients, and daily new cases were prevalent on the main webpages. Subpages provided information about vulnerability statistics, government responses, and vaccination rates. Less than 10% of governments included messages that may instill self-efficacy. Democratic countries had higher chances of providing threat statistics on subpages, including daily new cases (Relative Risk Ratio, RRR = 1.66, 95% CI: 1.16-2.37), mortalities (RRR = 1.69, 95% CI: 1.23-2.33), hospitalizations (RRR = 1.63, 95% CI: 1.12-2.37), and positivity rates (RRR = 1.55, 95% CI: 1.07-2.23). On subpages, democratic governments emphasized information about perceived vulnerability (RRR = 2.36, 95% CI: 1.50-3.73), perceived response efficacy (RRR = 1.48, 95% CI: 1.06-2.06), recovery numbers (RRR = 1.84, 95% CI: 1.31-2.60), and vaccinations (RRR = 2.14, 95% CI: 1.39-3.30). Developed countries reported the number of daily new cases, perceived response efficacy, and vaccination rates on their COVID-19 main pages. Individualism scores predicted the salience of vaccination rates on main pages and the omission of information related to perceived severity and perceived vulnerability. Democracy levels were more predictive of reporting information about perceived severity, perceived response efficacy, and perceived resilience on subpages of dedicated websites. Improving public health agencies' communication about COVID-19 is warranted.

Indexed as

Content analysisCOVID-19Disease preventionGovernment communicationIndividualismPublic health messagesRisk communication

Identifiers

PMID37214163
PMCPMC10181946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.