Evidence map›Paper›PMID 40474137›Full record

ArticleBMC nursing2025

A multicenter cross-sectional study on nurses' attitudes toward end-of-life care and influencing factors: a latent profile analysis.

Hongling Zheng, Rui Li, Hongli Ma, Qinqin Cheng, Yuxia Zhang, Youwen Gong, Lei Luo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

7 authors.

Hongling ZhengBreast Surgery Department, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Rui LiNursing Department, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Hongli MaBreast Surgery Department, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Qinqin ChengBreast cancer surgical ward, Hunan Cancer Hospital, The Affliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Yuxia ZhangPhase 1 Clinical Trial Ward, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Youwen GongNursing Department, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.
Lei LuoGeneral Affairs Department, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. luolei@scszlyy.org.cn.

Funding

the Cadre Healthcare Research Programme of Sichuan Province, China No. 2023-806
6 · The paper itself

Abstract

backgroundNurses' attitudes and beliefs regarding end-of-life issues significantly impact the quality of care provided to dying patients. While several studies have explored medical students' attitudes toward end-of-life care, there is a lack of in-depth analysis of the internal variations and factors influencing clinical nurses' attitudes toward death. This study aimed to identify different profiles of attitude toward care for dying patients and explore the factors influencing each profile.

methodsThis multicenter cross-sectional study recruited 1698 participants using convenience sampling from 60 hospitals across Sichuan Province, China. Data were collected from February 1 to April 30, 2024. The study utilized a self-designed General Information Questionnaire, Frommelt Attitudes Toward Care of the Dying Scale Form B (FATCOD-B), Templer-Death Anxiety Scale (T-DAS), and Meaning in Life Questionnaire (MLQ). Binary regression analysis and Latent Profile Analysis (LPA) are used to identify the latent classes and factors impacting the classes of attitudes toward caring for the dying patients.

resultsNurses' attitudes toward caring for dying patients were categorized into two distinct profiles: the positive attitude group (40.9%, N = 673) and the negative attitude group (59.1%, N = 971). The mean scores for these profiles were 103.67 ± 0.40 and 94.10 ± 0.22, respectively, with a significant difference between them (F = 480.282, P <0.001). The key factors contributing to these differences included bereavement experience within 1-year, prior death education training, sense of meaning in life, and death anxiety (P < 0.05).

conclusionNurses' attitudes toward caring for dying patients can be classified into positive and negative attitude profiles, with key influencing factors including bereavement experience, death education training, sense of meaning in life, and death anxiety. Healthcare administrators, educators, and policymakers should develop targeted interventions based on the specific features of each category and influencing factors to enhance end-of-life care practices.

Indexed as

Attitude to deathCross-sectional studiesLatent profile analysisNursesValue of life

Identifiers

PMID40474137
PMCPMC12142887

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.