Evidence map›Paper›PMID 37946173›Full record

ArticleBMC palliative care2023

Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis.

Xian Chen, Mengyu Su, Anne Arber, Chengping Qiao, Jinfeng Wu, Cuihua Sun, Dan Wang, Hui Zhou, Zhu Zhu

Open access · goldAbstract read
In one paragraph

Article in BMC palliative care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 13 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

9 authors at 4 institutions in 2 countries.

Xian Chen *Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital), Nanjing, Nanjing, 210004, China.
Mengyu Su *School of Nursing, Nanjing Medical University, Nanjing, 211166, China.
Anne ArberSchool of Health and Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK.
Chengping QiaoWomen's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital), Nanjing, Nanjing, 210004, China.
Jinfeng WuGeriatrics Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Cuihua SunJiangsu Nursing Association, Nanjing, 210008, China.
Dan WangOncology Department, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, China.
Hui ZhouWomen's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital), Nanjing, Nanjing, 210004, China. 215146418@qq.com.
Zhu ZhuWomen's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital), Nanjing, Nanjing, 210004, China. hulibu001@163.com.
Nanjing Medical University · CNNanjing Maternity and Child Health Care Hospital · CNUniversity of Surrey · GBXuzhou Medical College · CN

Funding

Jiangsu Province Science and Technology Support Project Grant No. JSKXKT 2022034
6 · The paper itself

Abstract

backgroundVarious factors have been found to be associated with high levels of death anxiety experienced by oncology nurses. The aim of this study was to use a person-oriented approach to examine the death anxiety patterns of Chinese oncology nurses and to analyze the differences in anxiety characteristics and their associated influencing factors.

methodsA cross-sectional survey regarding palliative care among registered oncology nurses was conducted in Jiangsu Province, China.Latent class analyses was applied to identify their patterns of death anxiety. The score of PCQN-C (The Chinese version of the Palliative Care Quiz for Nursing) and FATCOD-B-C (The Chinese version of the Frommelt Attitude Toward Care of the Dying scale), the demographic and working characteristics were further analyzed through covariance analysis (ANCOVA) and multivariate (or logistic) regression across the subgroups.

resultsA two-potential-category model was selected based on the fit index. The results showed that 79% of oncology nurses belonged to the high pressure and pain group and 21% belonged to the low death anxiety group. The high pressure and pain group had significantly higher scores in the dimensions of emotion, stress and pain, time awareness, and cognition compared to the low death anxiety group. Factors influencing the high pressure and pain group included shorter working years, non-national or provincial oncology nursing specialists, non-national palliative care specialists, never discussing the topic of death with patients or family members, no palliative care related training, and PCQN and FATCOD scores.

conclusionsOur study suggests that oncology nurses' death anxiety can be divided into two categories: low death anxiety and high stress pain, and certain factors, such as being female, having a short work experience, and lacking palliative care-related training, increase the likelihood of death anxiety.

Indexed as

NursesTerminal CareAnxietyAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansLatent Class AnalysisMalePainPalliative CareSurveys and QuestionnairesChinaDeath anxietyLatent class analysisOncology nursesPalliative care

Identifiers

PMID37946173
PMCPMC10634125
OpenAlexW4388535948

What OpenQuestion holds

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LicenceCC BY
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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.