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Level and predictors of caring behaviours of critical care nurses
BACKGROUND: Advanced technologies in intensive care units, including artificial intelligence and digitization, has implications for psycho-emotional aspects of caring in terms of communication, involvement, and holistic provision in a safe, effective, and efficient manner. Critical care nurses must...
Autores principales: | , , , , , |
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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/PMC9720932/ https://www.ncbi.nlm.nih.gov/pubmed/36464687 http://dx.doi.org/10.1186/s12912-022-01125-4 |
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author | Ahmed, Fatma Refaat Saifan, Ahmad Rajeh Dias, Jacqueline Maria Subu, Muhammad Arsyad Masadeh, Rami AbuRuz, Mohannad Eid |
author_facet | Ahmed, Fatma Refaat Saifan, Ahmad Rajeh Dias, Jacqueline Maria Subu, Muhammad Arsyad Masadeh, Rami AbuRuz, Mohannad Eid |
author_sort | Ahmed, Fatma Refaat |
collection | PubMed |
description | BACKGROUND: Advanced technologies in intensive care units, including artificial intelligence and digitization, has implications for psycho-emotional aspects of caring in terms of communication, involvement, and holistic provision in a safe, effective, and efficient manner. Critical care nurses must maintain a balance between their technological and humanistic caring behaviours during the provision of individualized holistic patient care. Therefore, this study was conducted to examine level and predictors of caring behaviours among critical care nurses in two Arab countries. METHODS: A cross-sectional design was used to achieve the objective of this study, whereby a quantitative online questionnaire survey was administered to 210 adult intensive care unit nurses at two government hospitals in Sharjah (United Arab Emirates), and two university hospitals in Amman (Jordan). Based on G* Power analysis, 200 participants were adequate to run the analysis. RESULTS: On average, 49% of the whole sample had ‘good’ caring behaviours. Among nurses who were working in Emirati intensive care units, 48.5% had good caring behaviours, compared to 47.4% of Jordanian intensive care unit nurses. Additionally, the results showed that predictors of caring behaviours among nurses include female gender, holding a master’s degree, interest in nursing profession, and a 1:1 nurse-to-patient ratio. CONCLUSIONS: About half of the ICU nurses in this study had low levels of caring behaviours. The present study highlights the requirement for integrating the concept of holistic and patient-centred care as the essence of the nursing profession in nursing curricula to improve the level of care provided by all nurses working in intensive care units. Continuing education programs and specific interventional programs should be directed toward predictors of caring behaviours among each specific group of nurses. Future research is needed using qualitative methods to understand what the perception of intensive care unit nurses is about caring. |
format | Online Article Text |
id | pubmed-9720932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97209322022-12-06 Level and predictors of caring behaviours of critical care nurses Ahmed, Fatma Refaat Saifan, Ahmad Rajeh Dias, Jacqueline Maria Subu, Muhammad Arsyad Masadeh, Rami AbuRuz, Mohannad Eid BMC Nurs Research BACKGROUND: Advanced technologies in intensive care units, including artificial intelligence and digitization, has implications for psycho-emotional aspects of caring in terms of communication, involvement, and holistic provision in a safe, effective, and efficient manner. Critical care nurses must maintain a balance between their technological and humanistic caring behaviours during the provision of individualized holistic patient care. Therefore, this study was conducted to examine level and predictors of caring behaviours among critical care nurses in two Arab countries. METHODS: A cross-sectional design was used to achieve the objective of this study, whereby a quantitative online questionnaire survey was administered to 210 adult intensive care unit nurses at two government hospitals in Sharjah (United Arab Emirates), and two university hospitals in Amman (Jordan). Based on G* Power analysis, 200 participants were adequate to run the analysis. RESULTS: On average, 49% of the whole sample had ‘good’ caring behaviours. Among nurses who were working in Emirati intensive care units, 48.5% had good caring behaviours, compared to 47.4% of Jordanian intensive care unit nurses. Additionally, the results showed that predictors of caring behaviours among nurses include female gender, holding a master’s degree, interest in nursing profession, and a 1:1 nurse-to-patient ratio. CONCLUSIONS: About half of the ICU nurses in this study had low levels of caring behaviours. The present study highlights the requirement for integrating the concept of holistic and patient-centred care as the essence of the nursing profession in nursing curricula to improve the level of care provided by all nurses working in intensive care units. Continuing education programs and specific interventional programs should be directed toward predictors of caring behaviours among each specific group of nurses. Future research is needed using qualitative methods to understand what the perception of intensive care unit nurses is about caring. BioMed Central 2022-12-05 /pmc/articles/PMC9720932/ /pubmed/36464687 http://dx.doi.org/10.1186/s12912-022-01125-4 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 Ahmed, Fatma Refaat Saifan, Ahmad Rajeh Dias, Jacqueline Maria Subu, Muhammad Arsyad Masadeh, Rami AbuRuz, Mohannad Eid Level and predictors of caring behaviours of critical care nurses |
title | Level and predictors of caring behaviours of critical care nurses |
title_full | Level and predictors of caring behaviours of critical care nurses |
title_fullStr | Level and predictors of caring behaviours of critical care nurses |
title_full_unstemmed | Level and predictors of caring behaviours of critical care nurses |
title_short | Level and predictors of caring behaviours of critical care nurses |
title_sort | level and predictors of caring behaviours of critical care nurses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720932/ https://www.ncbi.nlm.nih.gov/pubmed/36464687 http://dx.doi.org/10.1186/s12912-022-01125-4 |
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