Evidence map›Paper›PMID 38384553›Full record

ArticleHeliyon2024

Prevalence and determinants of COVID-19 vaccine acceptance among vulnerable populations in Thailand: An application of the health belief model.

Navarat Rukchart, Kanit Hnuploy, Sameh Eltaybani, Kittipong Sonlom, Nirachon Chutipattana, Cua Ngoc Le, Patthanasak Khammaneechan, Wajinee Jongjit, Suttakarn Supaviboolas

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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
0.5field-weighted citation impact, top 37% 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, 1 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

9 authors at 5 institutions in 2 countries.

Navarat RukchartSchool of Nursing, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Kanit HnuploySuratthani Rajabhat University, Suratthani, 84100, Thailand.
Sameh EltaybaniGlobal Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
Kittipong SonlomKhon Kaen University, Khon Kean, 40002, Thailand.
Nirachon ChutipattanaDepartment of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Cua Ngoc LeDepartment of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Patthanasak KhammaneechanDepartment of Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Wajinee JongjitDepartment of Public Health Strategy Development, Nakhon Si Thammarat Provincial Public Health Office, Nakhon Si Thammarat, 80000, Thailand.
Suttakarn SupaviboolasSouthern Border Regional Center for Primary Health Care Development, Nakhon Si Thammarat, 80000, Thailand.
Walailak University · THKhon Kaen University · THNakhon Si Thammarat Rajabhat University · THSuratthani Rajabhat University · THThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessing the acceptance of vaccinations among vulnerable populations is essential to ensure proper coronavirus disease 2019 (COVID-19) control. This study used the Health Belief Model to examine the intention to vaccinate against COVID-19 among vulnerable populations in Thailand. Methods: This analytical cross-sectional study was conducted in Thailand between October and November 2021. Using multistage random sampling, 945 individuals from vulnerable populations (i.e., older adults, pregnant women, market or street vendors, and individuals with chronic diseases) were selected and invited to complete a self-reported questionnaire. The questionnaire assessed participants' socioeconomic characteristics, COVID-19 preventive measures, knowledge, preventative health beliefs, and vaccine intention. A generalized linear mixed model was used to identify factors associated with the intention to receive the vaccine. Results: The prevalence of intent to accept the COVID-19 vaccine was 75.03% (95% confidence interval [CI]: 72.16-77.68). The Health Belief Model factors associated with vaccine acceptance were cue to action (adjusted odds ratio [AOR] = 3.13; 95% CI: 2.07-4.71), perceived benefits (AOR = 2.04; 95% CI: 1.38-3.01), and perceived severity (AOR = 1.77; 95% CI: 1.18-2.65). Significant other covariates were wearing a face mask in the previous month (AOR = 2.62; 95% CI: 1.59-4.31), being 1-2 m away from other people (AOR = 1.58; 95% CI: 1.11-2.24), trust in government (AOR = 1.44; 95% CI: 1.03-2.02). Additionally, women were more likely to accept the COVID-19 vaccine compared to men (AOR = 1.43; 95% CI: 1.02-2.01). Conclusions: Approximately one quarter of vulnerable individuals do not intend to be vaccinated. Health Belief Models can explain vaccine acceptance, and aid the Ministry of Public Health in planning future efforts to increase vaccine uptake. Healthcare professionals' advice, village health volunteers' information, and partnership collaborations are critical. Facilitating mobile community units, launching educational campaigns, maintaining a distance of 1-2 m from others, and wearing masks may increase COVID-19 vaccine acceptability. This research can help prepare for future pandemics.

Indexed as

COVID-19Health belief modelPrevalenceVaccine hesitancyVulnerable population

Identifiers

PMID38384553
PMCPMC10878938
OpenAlexW4391756431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.