Evidence map›Paper›PMID 37498835›Full record

ArticlePloS one2023

Understanding factors influencing healthcare workers' intention towards the COVID-19 vaccine.

Zhuyun Xie, Sikandar Ali Qalati, Mónica Lorena Sánchez Limón, Mohammad Ali Bait Ali Sulaiman, Naveed Akhtar Qureshi

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Zhuyun XieSchool of Finance and Economics, Jiangsu University, Zhenjiang, China.
Sikandar Ali QalatiSchool of Business, Liaocheng University, Liaochengm Shandong, China.ORCID 0000-0002-3941-0934
Mónica Lorena Sánchez LimónFaculty of Commerce and Administration, Autonomous University of Tamaulipas, Ciudad Victoria, Mexico.
Mohammad Ali Bait Ali SulaimanDepartment of Marketing and Entrepreneurship, Dhofar University, Salalah, Oman.
Naveed Akhtar QureshiDepartment of Business Administration, Sukkur IBA University, Sukkur, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, healthcare workers (HCWs) are at high risk of acquiring Coronavirus infection. In addition, they are role models for the general public concerning attitudes towards the COVID-19 vaccine. In addition, they play a critical role in successfully promoting practices aiming to reduce the transmission of COVID-19 infection. Therefore, this study broadly based on the theory of planned behavior (TPB) explores the factors influencing HCWs' intention to be vaccinated. An online survey was administered using Google Form to collect data from HCWs working in the public health sector of Pakistan. The sample included 813 participants, two-thirds were female, and one-third were male. In addition, 41.5% of them were aged between 26-35 years, 32.6% had master's level education, 25% were nurses, and 57.7% of them were living in urban areas. Data analysis was run using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research findings reveal the positive and significant effect of the TPB factors (attitude, subjective norms, and perceived behavioral control) and the extended factor of vaccine confidence on HCWs' intention to be vaccinated. This study's model explains 66.4% of variations in HCWs' intention to be vaccinated.

Indexed as

COVID-19COVID-19 VaccinesAdultAttitudeFemaleHealth PersonnelHumansIntentionMaleSurveys and QuestionnairesCOVID-19 Vaccines

Identifiers

PMID37498835
PMCPMC10374054

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.