Predictors of the intentions to leave among nurses in an academic medical center
Abstract Aim Nurses are an essential human resource for the healthcare system. However, high turnover of nurses is a current issue. Reducing the high turnover of nurses is crucial for facilitating the sustainable provision of care in hospitals. The purpose of this study was to explore the factors af...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-12-01
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Series: | PCN Reports |
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Online Access: | https://doi.org/10.1002/pcn5.48 |
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author | Aoi Sato Yoshiteru Sato Norio Sugawara Masataka Shinozaki Hiroaki Okayasu Yasushi Kawamata Keita Tokumitsu Yumiko Uchibori Tomie Komatsu Norio Yasui‐Furukori Kazutaka Shimoda |
author_facet | Aoi Sato Yoshiteru Sato Norio Sugawara Masataka Shinozaki Hiroaki Okayasu Yasushi Kawamata Keita Tokumitsu Yumiko Uchibori Tomie Komatsu Norio Yasui‐Furukori Kazutaka Shimoda |
author_sort | Aoi Sato |
collection | DOAJ |
description | Abstract Aim Nurses are an essential human resource for the healthcare system. However, high turnover of nurses is a current issue. Reducing the high turnover of nurses is crucial for facilitating the sustainable provision of care in hospitals. The purpose of this study was to explore the factors affecting nurses' intentions to leave among nurses in an advanced medical center. Methods Using a cross‐sectional design, we conducted a questionnaire survey of nurses working at an academic medical center in August 2020. Of the 1063 distributed questionnaires, there were 821 (77.2%) valid responses. The questionnaire included items on the Kessler 6 (K6), New Brief Job Stress Questionnaire (New BJSQ), Organizational Justice Questionnaire (OJQ), and intention to leave a hospital job. Results Overall, the mean age of the nurses was 34.3 ± 10.1 years and 87.8% (721/821) of them were female. Among respondents, 19.5% (160/821) had a strong intention to leave. After adjusting for all the variables, a logistic regression analysis revealed that longer working hours, job rank (staff nurse), work–self‐balance positive (imbalance), workplace harassment (no bullying), and interactional justice (unfair supervisor) were determinants associated with strong intentions to leave. Conclusions Approximately one‐fifth of nurses working at advanced medical center had a strong intention to leave. However, our findings can help managers predict the turnover of nurses by understanding occupational characteristics. Managing work–self‐balance and treating staff fairly could improve work environments. Further research focusing on the outcome of actual turnover rather than intention to leave is needed. |
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format | Article |
id | doaj.art-0d1cb7bf278f4daeb3e3795e58c1d4ce |
institution | Directory Open Access Journal |
issn | 2769-2558 |
language | English |
last_indexed | 2024-04-11T05:24:34Z |
publishDate | 2022-12-01 |
publisher | Wiley |
record_format | Article |
series | PCN Reports |
spelling | doaj.art-0d1cb7bf278f4daeb3e3795e58c1d4ce2022-12-23T09:10:32ZengWileyPCN Reports2769-25582022-12-0114n/an/a10.1002/pcn5.48Predictors of the intentions to leave among nurses in an academic medical centerAoi Sato0Yoshiteru Sato1Norio Sugawara2Masataka Shinozaki3Hiroaki Okayasu4Yasushi Kawamata5Keita Tokumitsu6Yumiko Uchibori7Tomie Komatsu8Norio Yasui‐Furukori9Kazutaka Shimoda10Department of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Nursing Dokkyo Medical University Hospital Tochigi JapanDepartment of Nursing Dokkyo Medical University Hospital Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanDepartment of Psychiatry Dokkyo Medical University School of Medicine Tochigi JapanAbstract Aim Nurses are an essential human resource for the healthcare system. However, high turnover of nurses is a current issue. Reducing the high turnover of nurses is crucial for facilitating the sustainable provision of care in hospitals. The purpose of this study was to explore the factors affecting nurses' intentions to leave among nurses in an advanced medical center. Methods Using a cross‐sectional design, we conducted a questionnaire survey of nurses working at an academic medical center in August 2020. Of the 1063 distributed questionnaires, there were 821 (77.2%) valid responses. The questionnaire included items on the Kessler 6 (K6), New Brief Job Stress Questionnaire (New BJSQ), Organizational Justice Questionnaire (OJQ), and intention to leave a hospital job. Results Overall, the mean age of the nurses was 34.3 ± 10.1 years and 87.8% (721/821) of them were female. Among respondents, 19.5% (160/821) had a strong intention to leave. After adjusting for all the variables, a logistic regression analysis revealed that longer working hours, job rank (staff nurse), work–self‐balance positive (imbalance), workplace harassment (no bullying), and interactional justice (unfair supervisor) were determinants associated with strong intentions to leave. Conclusions Approximately one‐fifth of nurses working at advanced medical center had a strong intention to leave. However, our findings can help managers predict the turnover of nurses by understanding occupational characteristics. Managing work–self‐balance and treating staff fairly could improve work environments. Further research focusing on the outcome of actual turnover rather than intention to leave is needed.https://doi.org/10.1002/pcn5.48intentions to leavemanagementnursesuniversity hospitalwork environments |
spellingShingle | Aoi Sato Yoshiteru Sato Norio Sugawara Masataka Shinozaki Hiroaki Okayasu Yasushi Kawamata Keita Tokumitsu Yumiko Uchibori Tomie Komatsu Norio Yasui‐Furukori Kazutaka Shimoda Predictors of the intentions to leave among nurses in an academic medical center PCN Reports intentions to leave management nurses university hospital work environments |
title | Predictors of the intentions to leave among nurses in an academic medical center |
title_full | Predictors of the intentions to leave among nurses in an academic medical center |
title_fullStr | Predictors of the intentions to leave among nurses in an academic medical center |
title_full_unstemmed | Predictors of the intentions to leave among nurses in an academic medical center |
title_short | Predictors of the intentions to leave among nurses in an academic medical center |
title_sort | predictors of the intentions to leave among nurses in an academic medical center |
topic | intentions to leave management nurses university hospital work environments |
url | https://doi.org/10.1002/pcn5.48 |
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