Evidence map›Paper›PMID 37628532›Full record

ArticleHealthcare (Basel, Switzerland)2023

Analysis of Nursing Students' Nonverbal Communication Patterns during Simulation Practice: A Pilot Study.

Eunju Jin, Hyunju Kang, Kunyoung Lee, Seung Gun Lee, Eui Chul Lee

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Eunju JinDepartment of Nursing, Gangneung Yeongdong University, Gangneung-si 25521, Republic of Korea.ORCID 0000-0003-0765-8916
Hyunju KangCollege of Nursing, Kangwon National University, Chuncheon-si 24341, Republic of Korea.ORCID 0000-0002-2129-1658
Kunyoung LeeDepartment of Computer Science, Graduate School, Sangmyung University, Jongno-gu, Seoul 03016, Republic of Korea.ORCID 0000-0002-0634-1119
Seung Gun LeeDepartment of AI & Informatics, Graduate School, Sangmyung University, Jongno-gu, Seoul 03016, Republic of Korea.ORCID 0000-0002-5531-028X
Eui Chul LeeDepartment of Human-Centered Artificial Intelligence, Sangmyung University, Jongno-gu, Seoul 03016, Republic of Korea.ORCID 0000-0001-6504-3333
Sangmyung University · KRGangdong University · KRKangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic communication, of which nonverbal communication is a vital component, is an essential skill for professional nurses. The aim of this study is to assess the possibility of incorporating computer analysis programs into nursing education programs to improve the nonverbal communication skills of those preparing to become professional nurses. In this pilot observational study, the research team developed a computer program for nonverbal communication analysis including facial expressions and poses. The video clip data captured during nursing simulation practice by 10 3rd- and 4th-grade nursing students at a university in South Korea involved two scenarios of communication with a child's mother regarding the child's pre- and post-catheterization care. The dominant facial expressions varied, with sadness (30.73%), surprise (30.14%), and fear (24.11%) being the most prevalent, while happiness (7.96%) and disgust (6.79%) were less common. The participants generally made eye contact with the mother, but there were no instances of light touch by hand and the physical distance for nonverbal communication situations was outside the typical range. These results confirm the potential use of facial expression and pose analysis programs for communication education in nursing practice.

Indexed as

facial expressionnonverbal communicationnursing educationnursing studentspilot studysimulation training

Identifiers

PMID37628532
PMCPMC10454223
OpenAlexW4385986843

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.