Evidence map›Paper›PMID 38117841›Full record

ArticlePloS one2023

Integrating health belief model and theory of planned behavior to assess COVID-19 vaccine acceptance among urban slum people in Bangladesh.

Muhammad Mainuddin Patwary, Asma Safia Disha, Mahadi Hasan, Mondira Bardhan, Mehedi Hasan, Faiza Imam Tuhi, Sama Jamila Rahim, Md Navid Newaz, Sardar Al Imran, Md Zahidul Haque and 3 more

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
2.8field-weighted citation impact, top 9% 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, 10 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Muhammad Mainuddin PatwaryEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.ORCID 0000-0001-8895-9723
Asma Safia DishaEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Mahadi HasanEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Mondira BardhanEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Mehedi HasanEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Faiza Imam TuhiEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Sama Jamila RahimEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Md Navid NewazEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Sardar Al ImranEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Md Zahidul HaqueEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Md Riad HossainInstitute of Disaster Management, Khulna University of Engineering & Technology, Khulna, Bangladesh.
Md Pervez KabirEnvironment and Sustainability Research Initiative, Khulna, Bangladesh.
Sarya SwedFaculty of Medicine, Aleppo University, Aleppo, Syria.
Khulna University · BDUniversity of Dhaka · BDKhulna University of Engineering and Technology · BDNorth South University · BDUniversity of Aleppo · SY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe vaccination against coronavirus disease 2019 (COVID-19) has been identified as a promising strategy to reduce the severity of the pandemic. Despite the safe and effective COVID-19 vaccines, bringing socioeconomically disadvantaged people under vaccination coverage has been challenging for developing countries like Bangladesh. Therefore, this study explored the determinants of vaccine acceptance among urban slum residents of Bangladesh using the Health Belief Model (HBM) and Theory of Planned Behavior (TPB).

methodsA face-to-face survey of 400 urban slum dwellers in two large cities in Bangladesh was conducted between July 5 to August 5, 2021. The questionnaire included vaccine acceptance, socio-demographics, health-related characteristics, trust in health authorities, reasons for vaccine hesitancy, and dimensions of HBM and TPB frameworks. Hierarchical logistic regression was performed to evaluate the association between these characteristics and vaccination acceptance.

resultsAround 82% (n = 327) of respondents were willing to accept the COVID-19 vaccine. In a fully adjusted model, respondents with secondary level education had higher intention (OR = 46.93, 95%CI = 1.21-1807.90, p < 0. 05) to accept COVID-19 vaccine. Respondents with bad (OR = 0.11, 95%CI = 0.01-0.35, p<0.05) or very bad (OR = 0.01, 95%CI = 0.01-0.35, p<0.05) health conditions were less interested in the COVID-19 vaccination. In regard to HBM dimensions, greater perceived susceptibility (OR = 1.75, 95% CI = 1.12-2.75, p < 0.05), and perceived benefits (OR = 3.28, 95% CI = 1.17-6.00, p < 0.001) were associated with a greater willingness to get vaccinated. In regard to TPB, higher self-efficacy in preventing illness without the vaccine increased the desire to get vaccinated (OR = 1.55, 95% CI = 1.02-2.37, p < 0.05). Fear of unknown side effects, religious beliefs, contraindications to vaccination, and insufficient information on the vaccine were the main reasons for vaccine hesitancy.

conclusionsThese findings offer valuable insights for policymakers in Bangladesh to design targeted interventions that address vaccine hesitancy and increase vaccination acceptability among socially disadvantaged individuals in urban areas. Strategies should focus on providing accurate and accessible information about the vaccine, communicating its positive impact effectively, engaging with religious leaders to address misconceptions, and tailoring vaccination campaigns to meet the unique needs of different demographic groups.

Indexed as

COVID-19COVID-19 VaccinesBangladeshHealth Belief ModelHumansPoverty AreasTheory of Planned BehaviorCOVID-19 Vaccines

Identifiers

PMID38117841
PMCPMC10732453
OpenAlexW4390034660

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.