Evidence map›Paper›PMID 34960138›Full record

ArticleVaccines2021

Determinants of COVID-19 Vaccine Acceptance among the Adult Population of Bangladesh Using the Health Belief Model and the Theory of Planned Behavior Model.

Muhammad Mainuddin Patwary, Mondira Bardhan, Asma Safia Disha, Mehedi Hasan, Md Zahidul Haque, Rabeya Sultana, Md Riad Hossain, Matthew H E M Browning, Md Ashraful Alam, Malik Sallam

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
13.4field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 130 citations in OpenAlex.

  1. Implications for COVID-19 vaccine uptake: A systematic review.Journal of infection and public health · 2023
    Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

10 authors at 7 institutions in 5 countries.

Muhammad Mainuddin PatwaryEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.ORCID 0000-0001-8895-9723
Mondira BardhanEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.ORCID 0000-0003-4642-1815
Asma Safia DishaEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.
Mehedi HasanDepartment of Environmental Science and Disaster Management, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.
Md Zahidul HaqueEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.ORCID 0000-0002-8658-8962
Rabeya SultanaEnvironmental Science Discipline, Life Science School, Khulna University, Khulna 9208, Bangladesh.
Md Riad HossainInstitute of Disaster Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh.ORCID 0000-0003-0676-3458
Matthew H E M BrowningDepartment of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0003-2296-7602
Md Ashraful AlamDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0002-7562-477X
Malik SallamDepartment of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0002-0165-9670
Khulna University · BDClemson University · USGopalganj Science and Technology University · BDKhulna University of Engineering and Technology · BDThe University of Tokyo · JPUniversity of Chemistry and Technology, Prague · CZUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination is undoubtedly one of the most effective strategies to halt the COVID-19 pandemic. The current study aimed to investigate the acceptance of COVID-19 vaccination and its associated factors using two health behavior change frameworks: the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB). A total of 639 Bangladeshi adults (mean age: 24 years) participated in a cross-sectional online study between July and August 2021. The questionnaire covered questions regarding vaccine intentions, sociodemographic features, health status, perceived trust in/satisfaction with health authorities, reasons for vaccine hesitancy, and factors related to the health behavior change frameworks. Hierarchical logistic regression was employed to determine associations between these predictors and vaccine acceptance. The intention to get a COVID-19 vaccination was expressed among 85% of the participants. In fully adjusted models, students and respondents with more normal body weights reported higher intentions to get vaccinated. Respondents were also more likely to seek vaccination if they reported greater levels of perceived susceptibility, benefits, and cues to action, as well as lower levels of barriers and self-efficacy. Fear of future vaccine side effects was the most common reason for COVID-19 vaccine hesitancy and was expressed by 94% of the vaccine-hesitant respondents. These factors should be considered by health authorities in Bangladesh and perhaps other countries when addressing the plateauing COVID-19 vaccination rates in many populations.

Indexed as

BangladeshcoronavirusHealth Belief ModelTheory of Planned Behaviorvaccine acceptance

Identifiers

PMID34960138
PMCPMC8707510
OpenAlexW3217165687

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.