Evidence map›Paper›PMID 35282929›Full record

ArticleVaccine2022

Political attitudes and efficacy of health expert communication on the support for COVID-19 vaccination program: Findings from a survey in Hong Kong.

Vera Wing Han Yuen

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Vera Wing Han YuenFaculty of Business and Economics, University of Hong Kong, 13/F KK Leung Bldg, HKU, Pok Fu Lam, Hong Kong. Electronic address: yuenvera@hku.hk.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite evidence suggesting that vaccines offer protection against COVID-19, the uptake rates of COVID-19 vaccines have been low in some high-income regions. Support for vaccination program is important to fight the pandemic. This study aimed at exploring two research questions: first, to what extent political attitudes are associated with support for COVID-19 vaccination program; and second, whether health expert communication is effective in increasing the support. An online survey was undertaken by 1079 Hong Kong residents aged 18-77 years from May 26 to June 3, 2021. The survey found higher support in pro-government respondents, and lower support in political opposition. A strategy of positive communication by health experts could increase support in the opposition and politically attentive respondents. Other variables that were positively related to program support were quarantine experience, trust in government, preference for pandemic control over freedom, political attentiveness, and disagreement with China's influence on Hong Kong's COVID-19 policymaking. This study contributes to understanding the relationship between political attitudes and support for vaccination program and provides empirical evidence of the efficacy of health expert communication strategy in improving support for vaccination program for people with certain political attitudes.

Indexed as

COVID-19Health CommunicationAdolescentAdultAgedAttitudeCOVID-19 VaccinesCross-Sectional StudiesHong KongHumansMiddle AgedSARS-CoV-2Surveys and QuestionnairesVaccinationYoung AdultCOVID-19 VaccinesCOVID-19Health expert communicationHong KongPolitical attitudePublic health programVaccination

Identifiers

PMID35282929
PMCPMC8898665
OpenAlexW4221075980

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.