Evidence map›Paper›PMID 34922216›Full record

ArticleDiabetes & metabolic syndrome2022

Evaluating COVID-19 vaccine hesitancy: A qualitative study from Vietnam.

Minh Cuong Duong, Hong Trang Nguyen, Mai Duong

Abstract read
In one paragraph

Article in Diabetes & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Minh Cuong DuongUniversity of New South Wales, New South Wales, Australia. Electronic address: minh.duong@unsw.edu.au.
Hong Trang NguyenPhenikaa University, Hanoi, Viet Nam.
Mai DuongIndependent Researcher, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsVaccine hesitancy is a major threat to COVID-19 vaccination programs. This study aimed to examine the public attitudes towards COVID-19 vaccines, the variance of these attitudes, and associated determinants within a large COVID-19 outbreak in Vietnam.

methodsTwo focus group discussions were conducted online with 20 people from different socio-economic and profession backgrounds. Purposive sampling was used to recruit participants. Discussions were recorded and transcribed verbatim. Key themes were extracted using reflexive thematic analysis method.

resultsFour distinct, non-static attitudes including acceptance, conditional acceptance, hesitancy, and anti-vaccination were found. Themes identified as determinants of these attitudes were external factors, internal factors, and risk-benefit self-assessment regarding COVID-19 vaccination.

conclusionsWe found mixed, non-static COVID-19 vaccination attitudes. People's vaccination risk-benefit self-assessment greatly determines the variance of their attitudes over time. Given high public trust in the authorities, the government should take the lead to counter COVID-19 vaccine misinformation. To increase acceptance, vaccine advertising campaigns should focus on providing information about the dangers of COVID-19, the ability to manage side-effects at the vaccination centers, and updated, precise information on both the outbreak and vaccines. Future research is needed to identify the public most common COVID-19 information channels to enable effective community education.

Indexed as

AdultAgedAttitude to HealthCOVID-19COVID-19 VaccinesEducational StatusEmploymentFemaleFocus GroupsHumansMaleMiddle AgedQualitative ResearchSocioeconomic FactorsSurveys and QuestionnairesVaccinationCOVID-19 VaccinesCOVID-19 vaccineHesitancyVietnam

Identifiers

PMID34922216
PMCPMC8656146

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.