Evidence map›Paper›PMID 39005704›Full record

ArticleInfectious diseases & clinical microbiology2024

The COVID-19 Vaccine Hesitancy Among Healthcare Workers: An Exploration of Hesitancy Reasons and Suggestions to Improve Vaccination Rates.

Bahar Madran, İlker Kayı, Ayşe Beşer, Önder Ergönül

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Article in Infectious diseases & clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

4 authors.

Bahar MadranDepartment of Public Health, Koç University School of Medicine, İstanbul, Türkiye.ORCID https://orcid.org/0000-0002-3417-5998
İlker KayıDepartment of Public Health, Koç University School of Medicine, İstanbul, Türkiye.ORCID https://orcid.org/0000-0002-4115-6613
Ayşe BeşerPublic Health Nursing, Koç University School of Nursing, İstanbul, Türkiye.ORCID https://orcid.org/0000-0003-4039-7439
Önder ErgönülKoç University İşbank Center for Infectious Diseases, İstanbul, Türkiye.ORCID https://orcid.org/0000-0003-1935-9235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Vaccine hesitancy among healthcare workers (HCWs) represents a significant challenge and threat in pandemics. This study aims to identify the predictive factors influencing COVID-19 vaccine hesitancy among HCWs and offer strategies to increase the COVID-19 vaccination rate in healthcare settings. Materials and Methods: This study constitutes the qualitative portion (second part) of a mixed-methods doctoral thesis employing an explanatory design. It was conducted in two distinct pandemic hospitals and involved 23 vaccine-hesitant HCWs. To conduct the interviews, the researchers developed a semi-structured interview form based on the Health Belief Model (HBM). Results: Upon analyzing the in-depth interviews, we identified six primary reasons for vaccine hesitancy and four different sub-reasons that reinforce vaccine hesitancy. We also collected four key suggestions from vaccine-hesitant HCWs that could potentially persuade them to receive the COVID-19 vaccine. Conclusion: This study's findings, which encompass the identification of reasons for COVID-19 vaccine hesitancy, clarification of underlying factors contributing to hesitancy towards the COVID-19 vaccines, and gathering suggestions from HCWs on how to persuade them to get vaccinated, hold significant value for guiding vaccination campaigns during potential future pandemics.

Indexed as

COVID-19COVID-19 pandemichealthcare workersvaccinationvaccine hesitancy

Identifiers

PMID39005704
PMCPMC11243779

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.