Evidence map›Paper›PMID 39135083›Full record

ArticleBMC nursing2024

Decision fatigue experience of front-line nurses in the context of public health emergency: an interpretative phenomenological analysis.

Shan-Shan Dong, Kun Wang, Ke-Qiang Zhang, Xing-Hui Wang, Jian-Hang Wang, Subinur Turdi, Jia-Yu Yang, Li He, Rong Yan, Yue-Wei Li

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

10 authors.

Shan-Shan Dong *Hepatopancreatobiliary Surgery Department, General External Center, First Hospital of Jilin University, Changchun, Jilin Province, China.
Kun Wang *Pediatric Respiratory Department, Children's Hospital, First Hospital of Jilin University, Changchun, Jilin Province, China.
Ke-Qiang ZhangMedical Department, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Xing-Hui WangDepartment of Nursing, First Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China.
Jian-Hang WangOperating Room, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Subinur TurdiSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, 130021, China.
Jia-Yu YangSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, 130021, China.
Li HeSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, 130021, China.
Rong YanSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, 130021, China.
Yue-Wei LiSchool of Nursing, Jilin University, No. 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, 130021, China. yuewei@jlu.edu.cn.

Funding

Health Science and Technology ability improvement project of Jilin Province 2022GW015
6 · The paper itself

Abstract

backgroundDecision fatigue is a new concept in the field of psychology and refers to a state of fatigue alongside impaired cognitive processing and emotional regulation ability. Previous studies have confirmed that nurses are prone to decision fatigue, and nurses who experience decision fatigue may implement nursing measures that are inconsistent with clinical evidence, thus affecting patients' benefits. COVID-19, as a large-scale global public health emergency, increased the workload and burden of nurses and aggravated decision fatigue. However, the factors leading to decision fatigue among nurses have not yet been identified.

methodsThis study is guided by interpretative phenomenology. During the epidemic period of COVID-19: From November 2022 to February 2023, a one-to-one, semi-structured in-depth interview was conducted among nurses with decision fatigue experience who were participating in front-line work in Jilin Province using homogenous sampling. The interview recordings and related data were transcribed into text within 24 h, and data analysis was assisted by NVivo 12.0 software.

resultsAfter a total of 14 front-line nurses were analyzed in this study, The thematic level reaches saturation, the findings present a persuasive and coherent narrative, and the study is terminated, and finally extracted and formed three core themes: "Cognition, influence and attitude of decision fatigue", "Approaching factors of decision fatigue" and "Avoidant factors of decision fatigue".

conclusionThis study confirmed that decision fatigue was widespread in the work of front-line nurses, affecting the physical and psychological health of nurses, the quality of nursing work, the degree of benefit of patients and the clinical outcome. However, nursing staff do not know enough about decision fatigue, so the popularization and research of decision fatigue should be strengthened. Improve the attention of medical institutions, nursing managers and nursing staff.Some suggestions are put forward for the intervention of decision fatigue through personnel, task, tool and technology, organization and environment.

Indexed as

Decision fatigueNursePhenomenologyPublic health emergency

Identifiers

PMID39135083
PMCPMC11321180

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LicenceCC BY
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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.