Evidence map›Paper›PMID 38483878›Full record

ArticlePloS one2024

Uptake of COVID-19 vaccine among high-risk urban populations in Southern Thailand using the COM-B model.

Charuai Suwanbamrung, Benchawan Srinam, Pakawan Promkool, Warissara Suwannakarn, Sangchom Siripanich, Md Siddikur Rahman, Muhammad Haroon Stanikzai

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

7 authors.

Charuai SuwanbamrungExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, Nakhon Si Thammarat, Thailand.ORCID 0000-0003-2318-4570
Benchawan SrinamPublic Health Research Program, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
Pakawan PromkoolPublic Health Research Program, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
Warissara SuwannakarnPublic Health Research Program, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand.
Sangchom SiripanichExcellent Center for Dengue and Community Public Health (EC for DACH), Walailak University, Nakhon Si Thammarat, Thailand.
Md Siddikur RahmanDepartment of Statistics, Begum Rokeya University, Rangpur, Bangladesh.ORCID 0000-0001-8925-6544
Muhammad Haroon StanikzaiDepartment of Public Health, Faculty of Medicine, Kandahar University, Kandahar, Afghanistan.ORCID 0000-0003-2757-1965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has imposed unprecedented suffering on social and individual levels worldwide. Vaccines against COVID-19 have been prioritized as a crucial strategy for ending the pandemic as well as minimizing its consequences.

objectivesThis study aimed to determine the uptake of COVID-19 vaccine among high-risk urban populations in Southern Thailand using the Capability, Opportunity, Motivation, and Behavior (COM-B) model.

methodsWe conducted a web-based cross-sectional study in the Hat Yai district, Songkhla province in Southern Thailand, in September and October 2021. The questionnaire was composed of sections on sociodemographic characteristics, COVID-19 vaccination status, and COM-B constructs. We employed a multivariable logistic regression analysis to determine factors associated with the uptake of the COVID-19 vaccine. We set statistical significance at p < 0.05.

resultsIn this study, females constituted 54.7% of the total participants (n = 358), and nearly half of the participants (45.8%) were in the younger age group (18-29). Of all the participants, 59.5% (95%CI: 54.2%-64.6%) received at least one dose of the COVID-19 vaccine. Factors associated with the uptake of COVID-19 vaccine and their adjusted OR (95% CI) were being married: 3.59 (2.06-6.24), having a graduate degree: 2.34 (1.38-3.96), gainfully employed: 3.30 (1.91-5.67), having a high level of opportunity: 2.90 (1.48-5.66), and having a high level of motivation: 2.87 (1.17-17.08).

conclusionThe uptake of COVID-19 vaccines was moderate in this population. Moreover, the results showed that the COM-B model is useful in predicting COVID-19 vaccine uptake. The findings of this study could be used to aid future public health interventions in any event of outbreaks similar to COVID-19 disease in Thailand and beyond.

Indexed as

COVID-19COVID-19 VaccinesCross-Sectional StudiesFemaleHumansMotivationPandemicsThailandUrban PopulationVaccinationCOVID-19 Vaccines

Identifiers

PMID38483878
PMCPMC10939195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.