Evidence map›Paper›PMID 40082875›Full record

ArticleBMC palliative care2025

Latent class analysis of death coping ability among palliative care nurses and its association with their emotional labor.

Jie Li, Anne Arber, Xiaoyan Chen, Yanzi Chen, Cuihua Sun, Jinfeng Wu, Xian Chen

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Article in BMC palliative care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

7 authors.

Jie LiSchool of Nursing, Nanjing Medical University, Nanjing, 210000, China.
Anne ArberFaculty of Health and Medical Sciences, The University of Surrey, Guildford, GU2 7XH, UK.
Xiaoyan ChenSchool of Nursing, Soochow University, Suzhou, 215100, China.
Yanzi ChenSchool of Nursing, Soochow University, Suzhou, 215100, China.
Cuihua SunJiangsu Nursing Association, Nanjing, 210008, China.
Jinfeng Wu *Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. wujf64@163.com.
Xian Chen *Nanjing Women and Children's Hospital (Women's Hospital of Nanjing Medical University), Nanjign, 210004, China. xianchen@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDeath coping ability is a critical professional skill for palliative care nurses. This study aimed to identify subgroups of death coping ability among Chinese palliative care nurses based on their assessments using the Death Coping Ability Scale, and to analyze the relationship between these subgroups and their emotional labor.

methodConvenient sampling was employed to survey 868 palliative care nurses from medical institutions in Beijing, Jiangsu Province, Anhui Province, and Hunan Province. Data was collected using a general information questionnaire, the Chinese version of the Death Coping Ability Scale, and the Emotional Labor Scale. Latent profile analysis was conducted to categorize the nurses' death coping abilities, and differences in emotional labor among these categories were compared.

resultsThe death coping ability of palliative care nurses was categorized into three groups: "low death coping ability group" (11.5%), "medium death coping ability group" (52.0%), and "high death coping ability group" (36.5%). Factors influencing these categories included specialization in palliative care, opportunities for interaction with the bereaved, participation in grief counseling training, and personal bereavement experiences, all statistically significant (p < 0.05). Notably, there were significant differences in emotional labor scores among the three groups (F = 33.006, p < 0.001).

conclusionsThe death coping ability of palliative care nurses can be classified into three distinct categories, each associated with different levels of emotional labor. Nursing managers should recognize these differences and implement targeted, personalized interventions to enhance the death coping abilities of palliative care nurses.

Indexed as

Adaptation, PsychologicalAttitude to DeathEmotionsNursesPalliative CareAdultChinaFemaleHumansLatent Class AnalysisMaleMiddle AgedPsychometricsSurveys and QuestionnairesDeath coping abilityEmotional laborLatent category analysisNursePalliative care

Identifiers

PMID40082875
PMCPMC11905609

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LicenceCC BY-NC-ND
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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.