Evidence map›Paper›PMID 37366521›Full record

ArticleHeliyon2023

Utilizing the theory of planned behavior to predict COVID-19 vaccination intention: A structural equational modeling approach.

Huy Nhuong Bui, Cong Doanh Duong, Van Quang Nguyen, Ngoc Xuan Vu, Son Tung Ha, Trung Thanh Le, Trong Nghia Vu

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Huy Nhuong BuiNational Economics University, Hanoi, Viet Nam.
Cong Doanh DuongNational Economics University, Hanoi, Viet Nam.
Van Quang NguyenCollege of Economics, Technology and Fisheries, Viet Nam.
Ngoc Xuan VuNational Economics University, Hanoi, Viet Nam.
Son Tung HaNational Economics University, Hanoi, Viet Nam.
Trung Thanh LeNational Economics University, Hanoi, Viet Nam.
Trong Nghia VuNational Economics University, Hanoi, Viet Nam.
National Economics University · VNNha Trang University · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is essential to achieve herd immunity in order to control the COVID-19 pandemic, and this requires a high level of vaccination rate. Despite the importance of vaccination, hesitancy and unwillingness in receiving the COVID-19 vaccine still exists. It is therefore crucial to comprehend the intentions of adults regarding COVID-19 vaccination, which is beneficial for establishing community immunity and an efficient future pandemic response. An online survey was administered to 2722 adults in Vietnam. Cronbach's alpha, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) were used to test the reliability and validity of the developed scales. Then, structural equational modeling (SEM) was employed to test correlations. This study found that favorable attitudes toward COVID-19 vaccines played the most important role in shaping adults' intention to receive these vaccines, followed by perceived behavioral control, perceived benefits of COVID-19 vaccines, and subjective norms. Concurrently, all three core dimensions of the theory of planned behavior mediated the link between the perceived benefits of COVID-19 vaccines and the intention to receive them. Also, there were significant differences between males and females in the way they formed this intention. The findings of this study offer valuable guidance for practitioners on how to encourage adults to receive COVID-19 vaccinations, as well as how to limit the transmission of the COVID-19 virus.

Indexed as

COVID-19 vaccination intentionPerceived benefits of COVID-19 vaccinesTheory of planned behavior

Identifiers

PMID37366521
PMCPMC10275777
OpenAlexW4381095254

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.