Evidence map›Paper›PMID 42669657›Full record

ArticleBMC nursing2026

Association of communication competence and nursing professionalism with burnout among nurses working at coronavirus residential treatment centers.

Hyunjung Moon, Ogcheol Lee, Sunghee Kim

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Hyunjung MoonRed Cross College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, South Korea.
Ogcheol LeeRed Cross College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, South Korea.ORCID http://orcid.org/0000-0001-9257-4420
Sunghee KimRed Cross College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, South Korea. sung1024@cau.ac.kr.ORCID http://orcid.org/0000-0001-6964-6158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOwing to the increasing number of cases of the coronavirus disease, treatment facilities and nursing services were diversifying, necessitating appropriate hiring and operating guidelines. This study aimed to identify the association of communication skills and nursing professionalism with burnout among nurses who have worked at coronavirus residential treatment centers since March 2020.

methodsThis study followed a cross-sectional design. An online survey was conducted in November 2021 using a self-report questionnaire covering sociodemographic characteristics, communication competence, nursing professionalism, and burnout.

resultsThe data of 145 nurses were analyzed. The average scores for communication competence, nursing professionalism, and burnout were 3.70, 3.25, and 2.98, respectively. Nursing professionalism was positively correlated with communication competence and negatively correlated with burnout. Factors associated with burnout were the length of residential treatment center service, prior experience in responding to infectious diseases, and nursing professionalism, with an explanatory power of 24.0%.

conclusionsHigher nursing professionalism, greater experience in responding to infectious diseases, and longer residential treatment center service period were associated with lower burnout. This study provides evidence to frame guidelines for hiring priorities and working conditions in an unfamiliar clinical nursing setting in the context of future infectious disease outbreaks to reduce nurses' burnout.

Indexed as

BurnoutCommunicationCOVID-19NursesProfessionalism

Identifiers

PMID42669657
PMCPMC13528087

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.