Evidence map›Paper›PMID 38359849›Full record

ArticleHealthcare informatics research2024

Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey.

Eunjoo Jeon, Laura-Maria Peltonen, Lorraine J Block, Charlene Ronquillo, Jude L Tayaben, Raji Nibber, Lisiane Pruinelli, Erika Lozada Perezmitre, Janine Sommer, Maxim Topaz and 11 more

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In one paragraph

Article in Healthcare informatics 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. 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

21 authors.

Eunjoo JeonTechnology Research, Samsung SDS, Seoul, Korea.
Laura-Maria PeltonenDepartment of Nursing Science, University of Turku, Turku, Finland.
Lorraine J BlockSchool of Nursing, University of British Columbia, Vancouver, Canada.
Charlene RonquilloSchool of Nursing, University of British Columbia Okanagan, Okanagan Valley, Canada.
Jude L TayabenCollege of Nursing, Benguet State University, La Trinidad, Philippines.
Raji NibberCancer Care, Fraser Health Authority, British Columbia, Canada.
Lisiane PruinelliCollege of Nursing, University of Florida, Gainesville, FL, USA.
Erika Lozada PerezmitreNursing Faculty, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico.
Janine SommerHealth Informatics Department, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Maxim TopazSchool of Nursing, Columbia University Data Science Institution, New York, NY, USA.
Gabrielle Jacklin ElerCollegiate of Nursing, Federal Institute of Paraná, Paranavaí, Brazil.
Henrique Yoshikazu ShishidoDepartment of Computing, Federal University of Technology-Paraná, Curitiba, Brazil.
Shanti WardaningsihSchool of Nursing, Universitas Muhammadiyah Yogyakarta, Kasihan, Indonesia.
Sutantri SutantriSchool of Nursing, Universitas Muhammadiyah Yogyakarta, Kasihan, Indonesia.
Samira AliDepartment of Nursing, Wilkes University, Wilkes-Barre, PA, USA.
Dari AlhuwailInformation Science Department, Kuwait University, Kuwait, Kuwait.
Alaa Abd-AlrazaqCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Laila Akhu-ZaheyaSchool of Nursing, Jordan University of Science and Technology, Irbid, Jordan.
Ying-Li LeeNursing department, Chi Mei Medical Center, Tainan, Taiwan.
Shao-Hui ShuCollege of Nursing, Tzu University of Science and Technology, Hualien, Taiwan.
Jisan LeeDepartment of Nursing, Gangneung-Wonju National University, Wonju, Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2021R1C1C1004505
6 · The paper itself

Abstract

objectivesWith the sudden global shift to online learning modalities, this study aimed to understand the unique challenges and experiences of emergency remote teaching (ERT) in nursing education.

methodsWe conducted a comprehensive online international cross-sectional survey to capture the current state and firsthand experiences of ERT in the nursing discipline. Our analytical methods included a combination of traditional statistical analysis, advanced natural language processing techniques, latent Dirichlet allocation using Python, and a thorough qualitative assessment of feedback from open-ended questions.

resultsWe received responses from 328 nursing educators from 18 different countries. The data revealed generally positive satisfaction levels, strong technological self-efficacy, and significant support from their institutions. Notably, the characteristics of professors, such as age (p = 0.02) and position (p = 0.03), influenced satisfaction levels. The ERT experience varied significantly by country, as evidenced by satisfaction (p = 0.05), delivery (p = 0.001), teacher-student interaction (p = 0.04), and willingness to use ERT in the future (p = 0.04). However, concerns were raised about the depth of content, the transition to online delivery, teacher-student interaction, and the technology gap.

conclusionsOur findings can help advance nursing education. Nevertheless, collaborative efforts from all stakeholders are essential to address current challenges, achieve digital equity, and develop a standardized curriculum for nursing education.

Indexed as

Cross-Sectional StudiesDigital DivideDistance EducationNatural Language ProcessingNursing Education

Identifiers

PMID38359849
PMCPMC10879829

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.