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Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study
AIM: This study aimed to calculate the total daily nursing workload and the optimal number of nurses per general unit based on the nursing intensity. DESIGN: This study was conducted using a cross‐sectional study. METHODS: Three units at one general hospital were investigated. Patient classification...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170926/ https://www.ncbi.nlm.nih.gov/pubmed/36852629 http://dx.doi.org/10.1002/nop2.1657 |
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author | Ko, Yukyung Park, Bohyun |
author_facet | Ko, Yukyung Park, Bohyun |
author_sort | Ko, Yukyung |
collection | PubMed |
description | AIM: This study aimed to calculate the total daily nursing workload and the optimal number of nurses per general unit based on the nursing intensity. DESIGN: This study was conducted using a cross‐sectional study. METHODS: Three units at one general hospital were investigated. Patient classification according to nursing needs was performed for over 10 days in each unit in September 2018. The direct and non‐direct nursing time and nursing intensity scores were analysed using descriptive statistics. RESULTS: For the internal medicine unit, the average direct nursing time per patient was 1.0, 1.5, 2.2 and 2.9 h for Groups 1, 2, 3 and 4, respectively. For the surgical unit, the average direct nursing time per patient was 0.9, 1.4, 2.1 and 2.6 h for Groups 1, 2, 3 and 4, respectively. 5 and 9 additional nurses were needed in the internal medicine and surgical nursing units. PATIENT CONTRIBUTION: This study confirmed that the optimal number of nurses was not achieved and that the nursing intensity was very high. Long‐term efforts, such as improving the nursing environment, should be made to ensure an optimal number of nurses in various nursing units. |
format | Online Article Text |
id | pubmed-10170926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101709262023-05-11 Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study Ko, Yukyung Park, Bohyun Nurs Open Empirical Research Quantitative AIM: This study aimed to calculate the total daily nursing workload and the optimal number of nurses per general unit based on the nursing intensity. DESIGN: This study was conducted using a cross‐sectional study. METHODS: Three units at one general hospital were investigated. Patient classification according to nursing needs was performed for over 10 days in each unit in September 2018. The direct and non‐direct nursing time and nursing intensity scores were analysed using descriptive statistics. RESULTS: For the internal medicine unit, the average direct nursing time per patient was 1.0, 1.5, 2.2 and 2.9 h for Groups 1, 2, 3 and 4, respectively. For the surgical unit, the average direct nursing time per patient was 0.9, 1.4, 2.1 and 2.6 h for Groups 1, 2, 3 and 4, respectively. 5 and 9 additional nurses were needed in the internal medicine and surgical nursing units. PATIENT CONTRIBUTION: This study confirmed that the optimal number of nurses was not achieved and that the nursing intensity was very high. Long‐term efforts, such as improving the nursing environment, should be made to ensure an optimal number of nurses in various nursing units. John Wiley and Sons Inc. 2023-02-28 /pmc/articles/PMC10170926/ /pubmed/36852629 http://dx.doi.org/10.1002/nop2.1657 Text en © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Empirical Research Quantitative Ko, Yukyung Park, Bohyun Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study |
title | Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study |
title_full | Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study |
title_fullStr | Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study |
title_full_unstemmed | Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study |
title_short | Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross‐sectional study |
title_sort | calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in south korea: a cross‐sectional study |
topic | Empirical Research Quantitative |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170926/ https://www.ncbi.nlm.nih.gov/pubmed/36852629 http://dx.doi.org/10.1002/nop2.1657 |
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