Evidence map›Paper›PMID 35721100›Full record

ArticleFrontiers in medicine2022

Using the Health Belief Model to Predict Vaccination Intention Among COVID-19 Unvaccinated People in Thai Communities.

Katekaew Seangpraw, Tharadon Pothisa, Sorawit Boonyathee, Parichat Ong-Artborirak, Prakasit Tonchoy, Supakan Kantow, Nisarat Auttama, Monchanok Choowanthanapakorn

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
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

8 authors at 2 institutions in 1 country.

Katekaew SeangprawSchool of Public Health, University of Phayao, Phayao, Thailand.
Tharadon PothisaSchool of Medicine, University of Phayao, Phayao, Thailand.
Sorawit BoonyatheeSchool of Medicine, University of Phayao, Phayao, Thailand.
Parichat Ong-ArtborirakFaculty of Public Health, Chiang Mai University, Chiang Mai, Thailand.
Prakasit TonchoySchool of Public Health, University of Phayao, Phayao, Thailand.
Supakan KantowSchool of Public Health, University of Phayao, Phayao, Thailand.
Nisarat AuttamaSchool of Public Health, University of Phayao, Phayao, Thailand.
Monchanok ChoowanthanapakornSchool of Public Health, University of Phayao, Phayao, Thailand.
University of Phayao · THChiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic has become one of the biggest challenges to individual health and the public health system worldwide. COVID-19 morbidity and mortality are increasing, impacting almost every country including Thailand. This study used the Health Belief Model (HBM) as a framework to examine the intention of unvaccinated people living in northern Thailand to receive COVID-19 vaccines. Methods: This cross-sectional study was conducted during October and November 2021. A total of 1,024 participants who are currently living in four northern provinces of Thailand, Chiang Mai, Chiang Rai, Lamphun, and Phayao, were recruited to participate in the study. The questionnaire was developed using an HBM structure to obtain information about the perceived severity, perceived susceptibility, self-efficacy, perceived benefits and barriers, cues to action, and preventive behaviors relating to COVID-19 vaccination and the decision to become vaccinated. Multiple linear regression was used to analyze the data. Results: The unvaccinated participants were an average of 44.45 ± 16.63 years of age and more than half were women (54.5%). The COVID-19 preventive behavior score used perceived severity (B = 0.26), self-efficacy (B = 0.51), perceived benefits and barriers (B = 0.11), and cues to action (B = 0.18) after adjusting for age, underlying disease, and body mass index ( Discussion: The results demonstrated the usefulness of using the HBM structure to understand individual intention to receive a COVID-19 vaccine. Communities should consider a COVID-19 health campaign and programs that use the HBM model as a framework for altering perceptions and beliefs about the COVID-19 vaccine and improving vaccination rates among unvaccinated people in rural northern Thailand.

Indexed as

communityCOVID-19 vaccineHealth Belief ModelintentionThai people

Identifiers

PMID35721100
PMCPMC9204032
OpenAlexW4281618911

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.