Evidence map›Paper›PMID 37297578›Full record

ArticleInternational journal of environmental research and public health2023

Evolving Approaches to Meet Clinical Hours for Undergraduate Nursing Students during COVID-19.

Kimberly Rumsey, Shinu Joy, John Michael Leger

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kimberly RumseySchool of Nursing, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555-1132, USA.
Shinu JoySchool of Nursing, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555-1132, USA.ORCID 0000-0002-3592-4372
John Michael LegerSchool of Nursing, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555-1132, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic challenged all healthcare professionals to re-think how patient care is provided. Faculty in nursing schools faced similar challenges in offering adequate clinical hours to nursing students, because of the limited availability of clinical placements.

methodsA faculty in one school of nursing introduced virtual simulation resources to supplement in-person clinical hours. The faculty developed a revised clinical curriculum for students that included weekly objectives and deliverables for virtual simulations. The Simulation Effectiveness Tool-Modified (SET-M) was utilized to evaluate the effectiveness of the virtual simulations.

results130 students (88.4%) completed the post-implementation survey. After using the virtual simulations, 50% of the students reported feeling confident in providing interventions that foster patient safety. Furthermore, students reported a sound understanding of disease pathophysiology (60%) and medications (53.8%). The qualitative data indicated that students found the virtual simulations beneficial and a safe learning environment.

conclusionPre-pandemic virtual simulations were not used by this school of nursing to replace the traditional in-person clinical experiences. However, the pandemic demonstrated that the utilization of innovative virtual simulations are effective methods for student learning to augment traditional clinical experiences.

Indexed as

COVID-19Education, Nursing, BaccalaureateStudents, NursingHealth PersonnelHumansPandemicsclinical hoursCOVID-19nursing educationsimulation

Identifiers

PMID37297578
PMCPMC10253152

What OpenQuestion holds

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LicenceCC BY
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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.