Knowledge and attitudes toward COVID-19 vaccination among student nurses from Saudi Arabia Article Swipe
Romeo Mostoles
,
Richard Maestrado
,
Joyce Buta
,
Salman Alsaqri
,
Evalynn Rondilla
,
Hamdan Albaqawi
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.20473/jn.v17i1.34223
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.20473/jn.v17i1.34223
Introduction: Insights into the knowledge and attitudes of students can be achieved by analyzing their general understanding and prevention of the coronavirus. Therefore, it is imperative to identify attributes that influence the development of healthy behaviors among students. This study aimed to determine the dynamics of knowledge and attitudes of student nurses concerning the COVID-19 vaccine. Methods: This descriptive-cross sectional study involved 250 student nurses from the University of Hail, Nursing College, selected by convenience sampling. The data were collected between August and September 2021 using questionnaires. The data were analysed using a t-test, one-way ANOVA, and Pearson’s correlation test with a significance level of 0.05. Results: The study results showed that participants have good knowledge (mean = 3.09; SD = 0.88) and attitudes (mean = 8.62; SD = 1.83). Gender(except for knowledge), marital status, and age were not relevant as explanatory factors of knowledge and attitude. There was a significant difference in both knowledge (F = 2.233; p < 0.005) and attitude (F = 3.918; p < 0.004) associated with the course year. There was no significant relationship between knowledge and attitude (r = -0.013; p-value = 0.834). Conclusions: This information is critical for educators as they design techniques to help students put their knowledge into practice. In this way, educators may help health students develop skills and encourage students to become accountable health professionals who can support current societal healthcare demands.
Related Topics
Concepts
Marital status
Test (biology)
Psychology
Coronavirus disease 2019 (COVID-19)
Health care
Medical education
Knowledge level
Statistical significance
Medicine
Nursing
Family medicine
Significant difference
Disease
Environmental health
Mathematics education
Internal medicine
Infectious disease (medical specialty)
Population
Paleontology
Economics
Biology
Economic growth
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.20473/jn.v17i1.34223
- https://e-journal.unair.ac.id/JNERS/article/download/34223/17541
- OA Status
- gold
- Cited By
- 1
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281918221
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281918221Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20473/jn.v17i1.34223Digital Object Identifier
- Title
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Knowledge and attitudes toward COVID-19 vaccination among student nurses from Saudi ArabiaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-04-22Full publication date if available
- Authors
-
Romeo Mostoles, Richard Maestrado, Joyce Buta, Salman Alsaqri, Evalynn Rondilla, Hamdan AlbaqawiList of authors in order
- Landing page
-
https://doi.org/10.20473/jn.v17i1.34223Publisher landing page
- PDF URL
-
https://e-journal.unair.ac.id/JNERS/article/download/34223/17541Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://e-journal.unair.ac.id/JNERS/article/download/34223/17541Direct OA link when available
- Concepts
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Marital status, Test (biology), Psychology, Coronavirus disease 2019 (COVID-19), Health care, Medical education, Knowledge level, Statistical significance, Medicine, Nursing, Family medicine, Significant difference, Disease, Environmental health, Mathematics education, Internal medicine, Infectious disease (medical specialty), Population, Paleontology, Economics, Biology, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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