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Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis
BACKGROUND: Various 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 charac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634125/ https://www.ncbi.nlm.nih.gov/pubmed/37946173 http://dx.doi.org/10.1186/s12904-023-01282-6 |
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author | Chen, Xian Su, Mengyu Arber, Anne Qiao, Chengping Wu, Jinfeng Sun, Cuihua Wang, Dan Zhou, Hui Zhu, Zhu |
author_facet | Chen, Xian Su, Mengyu Arber, Anne Qiao, Chengping Wu, Jinfeng Sun, Cuihua Wang, Dan Zhou, Hui Zhu, Zhu |
author_sort | Chen, Xian |
collection | PubMed |
description | BACKGROUND: Various 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. METHODS: A 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. RESULTS: A 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. CONCLUSIONS: Our 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. |
format | Online Article Text |
id | pubmed-10634125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106341252023-11-10 Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis Chen, Xian Su, Mengyu Arber, Anne Qiao, Chengping Wu, Jinfeng Sun, Cuihua Wang, Dan Zhou, Hui Zhu, Zhu BMC Palliat Care Research BACKGROUND: Various 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. METHODS: A 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. RESULTS: A 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. CONCLUSIONS: Our 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. BioMed Central 2023-11-09 /pmc/articles/PMC10634125/ /pubmed/37946173 http://dx.doi.org/10.1186/s12904-023-01282-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Xian Su, Mengyu Arber, Anne Qiao, Chengping Wu, Jinfeng Sun, Cuihua Wang, Dan Zhou, Hui Zhu, Zhu Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis |
title | Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis |
title_full | Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis |
title_fullStr | Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis |
title_full_unstemmed | Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis |
title_short | Exploring the variations in death anxiety among oncology nurses in China: a latent class analysis |
title_sort | exploring the variations in death anxiety among oncology nurses in china: a latent class analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634125/ https://www.ncbi.nlm.nih.gov/pubmed/37946173 http://dx.doi.org/10.1186/s12904-023-01282-6 |
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