Evidence map›Paper›PMID 38318811›Full record

ArticleWestern journal of nursing research2024

Examination of Nursing Staffs' Perceptions of the COVID-19 Vaccine Using the Health Belief Model.

Aidan Cossio, Wilson Cobb, Addison Fugitt, Sandra Nielsen, Matthew Hesson-McInnis, Marilyn A Prasun

Abstract read
In one paragraph

Article in Western journal of nursing research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Aidan CossioMennonite College of Nursing, Illinois State University, Normal, IL, USA.
Wilson CobbMennonite College of Nursing, Illinois State University, Normal, IL, USA.
Addison FugittMennonite College of Nursing, Illinois State University, Normal, IL, USA.
Sandra NielsenMennonite College of Nursing, Illinois State University, Normal, IL, USA.
Matthew Hesson-McInnisQuantitative Psychology, Illinois State University, Normal, IL, USA.
Marilyn A PrasunCarle BroMenn Medical Center, Mennonite College of Nursing, Illinois State University, Normal, IL, USA.ORCID 0000-0002-3601-0695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus (COVID-19) pandemic profoundly impacted patient care across the United States.

objectiveTo examine nursing staffs' perceptions of the COVID-19 vaccine using the Health Belief Model (HBM) as a theoretical framework.

methodsA cross-sectional, anonymous, web-based survey was completed by practicing nursing staffs throughout the United States. Analyses involved descriptive and comparative statistics.

resultsOf the 294 nursing staff who completed surveys, 50% were between 18 and 37 years of age, and 73.1% were registered nurses, with 49.3% employed in a hospital setting. Nursing staff reported their primary reason for vaccination was concern for others (mean: 84.44; SD: 28.26), vaccine prevents spread (mean: 81.85; SD: 28.94), and own health (mean: 79.63; SD: 30.0). Influencing factors that predicted vaccination included age, Wilks' Λ = 0.76,

conclusionNursing staffs' perceptions using the HBM as a theoretical framework provided insight into their decisions to receive the COVID-19 vaccine. Further research is warranted to examine nurses' attitudes and factors that influence their decision-making regarding vaccination.

Indexed as

COVID-19Nursing StaffAgedCOVID-19 VaccinesCross-Sectional StudiesHealth Belief ModelHumansUnited StatesCOVID-19 VaccinesCOVID-19 vaccineHealth Belief Modelmandatory vaccinationnursesperceptionsvaccination hesitancy

Identifiers

PMID38318811
PMCPMC10903133

What OpenQuestion holds

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LicenceCC BY-NC
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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.