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Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study
BACKGROUND: Prolonging the end-of-life process means that the duration of health care work increases and the management of death is delegated to health care providers by patients’ families. Thus, it is important to explore measures to enhance the quality of end-of-life care by identifying the predic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110935/ https://www.ncbi.nlm.nih.gov/pubmed/35581576 http://dx.doi.org/10.1186/s12904-022-00961-0 |
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author | Kim, Ji-Young Choi, Eun-Hi |
author_facet | Kim, Ji-Young Choi, Eun-Hi |
author_sort | Kim, Ji-Young |
collection | PubMed |
description | BACKGROUND: Prolonging the end-of-life process means that the duration of health care work increases and the management of death is delegated to health care providers by patients’ families. Thus, it is important to explore measures to enhance the quality of end-of-life care by identifying the predictors thereof. End-of-life care should be people-centred, relieving serious health-related suffering, be it physical, psychological, social, or spiritual. Nurses who provide end-of-life care usually spend the most time with dying patients, administering care to help patients who wish to die with dignity; therefore, end-of-life nursing care is highly significant. METHODS: This study was conducted on nurses of 500-bed or larger university hospitals in city D and province C in South Korea from 20 August to 10 September 2020 using a structured questionnaire. A total of 213 nurses with a minimum clinical career of one year and at least one EOLC experience participated. The final analysis sample consisted of 206 nurses. Descriptive analysis, Pearson’s correlation coefficients, ANOVA, t-test, and multiple-regression analysis were used to analyse the data. RESULTS: This study found that end-of-life care performance was significantly positively correlated with end-of-life care stress [r = .253, p < .001], sense of calling [r = .424, p < .001], and resilience [r = .397, p < .001]. End-of-life care stress [β = .185, p = .003], sense of calling [β = .259, p < .001], resilience [β = .252, p < .001], and working in a hospice ward [β = .140, p = .041] or intensive care unit [β = .218, p = .008], as opposed to the emergency department, were identified as predictors of end-of-life care performance. These factors explained 28.3% of the variance in the end-of-life care performance in this study. CONCLUSIONS: Boosting the sense of calling and resilience among nurses providing palliative care can improve overall end-of-life care performances. Subsequent studies should develop and evaluate interventions and programs that could improve these factors to ensure a positive change in health care and enhance the quality of end-of-life care in hospitals. |
format | Online Article Text |
id | pubmed-9110935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91109352022-05-17 Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study Kim, Ji-Young Choi, Eun-Hi BMC Palliat Care Research BACKGROUND: Prolonging the end-of-life process means that the duration of health care work increases and the management of death is delegated to health care providers by patients’ families. Thus, it is important to explore measures to enhance the quality of end-of-life care by identifying the predictors thereof. End-of-life care should be people-centred, relieving serious health-related suffering, be it physical, psychological, social, or spiritual. Nurses who provide end-of-life care usually spend the most time with dying patients, administering care to help patients who wish to die with dignity; therefore, end-of-life nursing care is highly significant. METHODS: This study was conducted on nurses of 500-bed or larger university hospitals in city D and province C in South Korea from 20 August to 10 September 2020 using a structured questionnaire. A total of 213 nurses with a minimum clinical career of one year and at least one EOLC experience participated. The final analysis sample consisted of 206 nurses. Descriptive analysis, Pearson’s correlation coefficients, ANOVA, t-test, and multiple-regression analysis were used to analyse the data. RESULTS: This study found that end-of-life care performance was significantly positively correlated with end-of-life care stress [r = .253, p < .001], sense of calling [r = .424, p < .001], and resilience [r = .397, p < .001]. End-of-life care stress [β = .185, p = .003], sense of calling [β = .259, p < .001], resilience [β = .252, p < .001], and working in a hospice ward [β = .140, p = .041] or intensive care unit [β = .218, p = .008], as opposed to the emergency department, were identified as predictors of end-of-life care performance. These factors explained 28.3% of the variance in the end-of-life care performance in this study. CONCLUSIONS: Boosting the sense of calling and resilience among nurses providing palliative care can improve overall end-of-life care performances. Subsequent studies should develop and evaluate interventions and programs that could improve these factors to ensure a positive change in health care and enhance the quality of end-of-life care in hospitals. BioMed Central 2022-05-17 /pmc/articles/PMC9110935/ /pubmed/35581576 http://dx.doi.org/10.1186/s12904-022-00961-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Kim, Ji-Young Choi, Eun-Hi Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
title | Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
title_full | Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
title_fullStr | Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
title_full_unstemmed | Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
title_short | Predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
title_sort | predictors of end-of-life care stress, calling, and resilience on end-of-life care performance: a descriptive correlational study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110935/ https://www.ncbi.nlm.nih.gov/pubmed/35581576 http://dx.doi.org/10.1186/s12904-022-00961-0 |
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