Evidence map›Paper›PMID 36881578›Full record

ArticlePloS one2023

The impact of vaccine information and other factors on COVID-19 vaccine acceptance in the Thai population.

Hathairat Kosiyaporn, Chanikarn Netrpukdee, Nattanicha Pangkariya, Orana Chandrasiri, Viroj Tangcharoensathien

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. COVID-19 Vaccine Acceptance of Pregnant Women in Thailand.International journal of women's health · 2024
    Article
  6. Observational
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

5 authors at 1 institution in 1 country.

Hathairat KosiyapornInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0002-7203-8089
Chanikarn NetrpukdeeInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
Nattanicha PangkariyaInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0001-9393-6593
Orana ChandrasiriInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
Viroj TangcharoensathienInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
Ministry of Public Health · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased misinformation circulating among the population during the COVID-10 pandemic can trigger rejection to take up vaccines. This study assesses the influence of vaccine information and other factors on vaccine acceptance in the Thai population. Between March and August 2021, six rounds of cross-sectional surveys through village health volunteer networks and online channels were conducted; as well as qualitative interviews with frontline health workers, patients with chronic diseases, and religious believers and leaders. Descriptive and multiple logistic regression with 95% level of confidence were used for survey findings while deductive thematic analysis was used for in-depth interview findings. Among the total 193,744 respondents, the initial COVID-19 vaccine acceptance rate decreased from 60.3% in March 2021 to 44.0% in April 2021, then increased to 88.8% in August 2021. Participants who were able to differentiate true and false statements were 1.2 to 2.4 times more likely to accept vaccine than those who were not. Those who perceived a high risk of infection (Adjusted odds ratio; AOR = 2.6-4.7), perceived vaccine safety (AOR = 1.4-2.4), judged the importance of vaccination (AOR = 2.3-5.1), and had trust in vaccine manufacture (AOR = 1.9-3.2) were also more likely to accept the vaccine. Moreover, higher education (AOR = 1.6-4.1) and living in outbreak areas (AOR = 1.4-3.0) were significantly related to vaccine uptake, except in people with chronic diseases who tended not to accept the vaccine (AOR = 0.7-0.9). This study recommends effective infodemic management and comprehensive public communication, prioritising vulnerable groups such as those with a low level of education and people with chronic conditions. Communication through reliable channels can support higher vaccine acceptance and rapid vaccine rollout. Finally, regular monitoring of misinformation is important such as fact checking support, timely legal actions and specific debunking communication.

Indexed as

COVID-19COVID-19 VaccinesPatient Acceptance of Health CareVaccinationCross-Sectional StudiesHumansSoutheast Asian PeopleCOVID-19 Vaccines

Identifiers

PMID36881578
PMCPMC9990931
OpenAlexW4323347560

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.