Evidence map›Paper›PMID 36325914›Full record

ArticleJournal of nursing management2022

Critical role of information and communication technology in nursing during the COVID-19 pandemic: A qualitative study.

Hye Jin Yoo, Hyeongsuk Lee

Abstract read
In one paragraph

Article in Journal of nursing management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Mobile robots for isolation-room hospital settings: A scenario-based preliminary study.Computational and structural biotechnology journal · 2024
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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

2 authors.

Hye Jin YooCollege of Nursing, Dankook University, Cheonan, South Korea.
Hyeongsuk LeeCollege of Nursing, Gachon University, Incheon, South Korea.ORCID https://orcid.org/0000-0001-7597-3163

Funding

Gachon University GCU-202002130001Korea government (MSIT) 2021R1F1A1045487National Research Foundation of Korea
6 · The paper itself

Abstract

aimTo examine the need for information and communication technology (ICT)-based nursing care in improving patient management during the pandemic.

backgroundMaintaining traditional approaches to nursing in the ongoing coronavirus disease (COVID-19) pandemic predisposes health care systems to a risk of diminished quality of care. Using ICT (real-time videoconferencing, mobile robots and artificial intelligence) could reduce burnout and infection risks by minimizing face-to-face contact.

methodQualitative descriptive design with content analysis.

resultsOverall, 24 participants (14 nurses, six medical/nursing informatics experts and four technology experts) were interviewed. Three main themes were extracted: emerging challenges for nurses due to COVID-19, impact of new technology on patient and nurse experiences and concerns with implementation of technology.

conclusionA significant portion of nurses' work was unrelated to professional nursing, causing burnout. ICT could help reduce nurses' burden by facilitating environmental management and non-contact communication and providing emotional support for patients. IMPLICATIONS FOR NURSING MANAGEMENT: Establishing an ICT-based nursing care system that considers the physical environment and communication infrastructure of health care institutions, user's digital health literacy and user safety to effectively manage non-nursing care-related activities and undertake tasks that can be delegated may improve the quality of care for quarantined patients and reduce risk of cross-infection.

Indexed as

COVID-19PandemicsArtificial IntelligenceCommunicationHumansQualitative ResearchTechnologyartificial intelligenceCOVID-19information technologynursing carepatient isolation

Identifiers

PMID36325914
PMCPMC9877660

What OpenQuestion holds

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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.