探讨沙特护士严重离职意向的原因及显著影响因素。

IF 1.4 Q3 EDUCATION, SCIENTIFIC DISCIPLINES
Journal of Education and Health Promotion Pub Date : 2025-05-30 eCollection Date: 2025-01-01 DOI:10.4103/jehp.jehp_1227_24
Zyad T Saleh, Aziz Aslanoğlu, Rami A Elshatarat, Majed S Al-Za'areer, Wesam T Almagharbeh, Asim A Alhejaili, Bandar Naffaa Alhumaidi, Hekmat Y Al-Akash, Muwafaq M Al-Momani, Hazem A Alfanash, Amal Ali Alasmari
{"title":"探讨沙特护士严重离职意向的原因及显著影响因素。","authors":"Zyad T Saleh, Aziz Aslanoğlu, Rami A Elshatarat, Majed S Al-Za'areer, Wesam T Almagharbeh, Asim A Alhejaili, Bandar Naffaa Alhumaidi, Hekmat Y Al-Akash, Muwafaq M Al-Momani, Hazem A Alfanash, Amal Ali Alasmari","doi":"10.4103/jehp.jehp_1227_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Nursing turnover is a significant concern in healthcare systems. This study aimed to explore the influencing factors of nurses' turnover in Saudi Arabia.</p><p><strong>Materials and methods: </strong>This cross-sectional study was conducted between August 2023 and December 2023 at various hospitals in Saudi Arabia. A total of 397 nurses were enrolled using the convenience sampling method. Data on turnover intentions were collected through a structured questionnaire designed to capture various factors influencing nurses' decisions to leave their current positions. The questionnaire included items on demographics, work environment, job satisfaction, and potential reasons for turnover. Statistical analyses in SPSS included descriptive statistics, Chi-square tests, and multiple logistic regression to identify and predict factors influencing serious turnover intentions.</p><p><strong>Results: </strong>A significant proportion expressed their intention to leave their current hospital with 38.6% contemplated leaving. Notably, 53.7% intended to turnover, with 18.4% seriously considering it. Non-Saudi nurses were more inclined to cite excessive workload and poor management. Predictors of serious turnover intentions included non-Saudi nationality, lower salary, shorter experience as a registered nurse, and working in critical care. Dissatisfaction with salary, organizational communication, and lack of recognition also contributed.</p><p><strong>Conclusion: </strong>The study emphasizes the need for targeted interventions to address factors driving nurse turnover in Saudi Arabia. Health policymakers and managers should improve salary structures and managerial support to reduce turnover intentions. Implementing these measures will not only improve job satisfaction among nurses but also ensure a more stable and effective healthcare workforce, ultimately leading to better patient care and outcomes.</p>","PeriodicalId":15581,"journal":{"name":"Journal of Education and Health Promotion","volume":"14 ","pages":"206"},"PeriodicalIF":1.4000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12200021/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring the reasons and significant influencing factors of serious turnover intentions among nurses in Saudi Arabia.\",\"authors\":\"Zyad T Saleh, Aziz Aslanoğlu, Rami A Elshatarat, Majed S Al-Za'areer, Wesam T Almagharbeh, Asim A Alhejaili, Bandar Naffaa Alhumaidi, Hekmat Y Al-Akash, Muwafaq M Al-Momani, Hazem A Alfanash, Amal Ali Alasmari\",\"doi\":\"10.4103/jehp.jehp_1227_24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Nursing turnover is a significant concern in healthcare systems. This study aimed to explore the influencing factors of nurses' turnover in Saudi Arabia.</p><p><strong>Materials and methods: </strong>This cross-sectional study was conducted between August 2023 and December 2023 at various hospitals in Saudi Arabia. A total of 397 nurses were enrolled using the convenience sampling method. Data on turnover intentions were collected through a structured questionnaire designed to capture various factors influencing nurses' decisions to leave their current positions. The questionnaire included items on demographics, work environment, job satisfaction, and potential reasons for turnover. Statistical analyses in SPSS included descriptive statistics, Chi-square tests, and multiple logistic regression to identify and predict factors influencing serious turnover intentions.</p><p><strong>Results: </strong>A significant proportion expressed their intention to leave their current hospital with 38.6% contemplated leaving. Notably, 53.7% intended to turnover, with 18.4% seriously considering it. Non-Saudi nurses were more inclined to cite excessive workload and poor management. Predictors of serious turnover intentions included non-Saudi nationality, lower salary, shorter experience as a registered nurse, and working in critical care. Dissatisfaction with salary, organizational communication, and lack of recognition also contributed.</p><p><strong>Conclusion: </strong>The study emphasizes the need for targeted interventions to address factors driving nurse turnover in Saudi Arabia. Health policymakers and managers should improve salary structures and managerial support to reduce turnover intentions. Implementing these measures will not only improve job satisfaction among nurses but also ensure a more stable and effective healthcare workforce, ultimately leading to better patient care and outcomes.</p>\",\"PeriodicalId\":15581,\"journal\":{\"name\":\"Journal of Education and Health Promotion\",\"volume\":\"14 \",\"pages\":\"206\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12200021/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Education and Health Promotion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/jehp.jehp_1227_24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Education and Health Promotion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jehp.jehp_1227_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0

摘要

背景:护理人员流动是医疗保健系统的一个重要问题。本研究旨在探讨沙特阿拉伯护士离职的影响因素。材料和方法:本横断面研究于2023年8月至2023年12月在沙特阿拉伯的多家医院进行。采用方便抽样法,共纳入397名护士。关于离职意向的数据通过结构化问卷收集,旨在捕捉影响护士决定离开当前职位的各种因素。问卷内容包括人口统计、工作环境、工作满意度和潜在离职原因。SPSS的统计分析包括描述性统计、卡方检验和多元逻辑回归,以识别和预测影响严重离职意向的因素。结果:相当大比例的人表示他们打算离开目前的医院,38.6%的人考虑离开。值得注意的是,53.7%的人打算离职,18.4%的人正在认真考虑。非沙特护士更倾向于认为工作量过大和管理不善。严重离职意向的预测因素包括非沙特国籍、较低的工资、较短的注册护士经验和从事危重病护理工作。对薪酬的不满、组织沟通和缺乏认可也是原因之一。结论:该研究强调需要有针对性的干预措施来解决导致沙特阿拉伯护士流失的因素。卫生政策制定者和管理人员应改善薪酬结构和管理支持,以减少离职意向。实施这些措施不仅可以提高护士的工作满意度,还可以确保医疗保健队伍更加稳定和有效,最终带来更好的患者护理和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the reasons and significant influencing factors of serious turnover intentions among nurses in Saudi Arabia.

Background: Nursing turnover is a significant concern in healthcare systems. This study aimed to explore the influencing factors of nurses' turnover in Saudi Arabia.

Materials and methods: This cross-sectional study was conducted between August 2023 and December 2023 at various hospitals in Saudi Arabia. A total of 397 nurses were enrolled using the convenience sampling method. Data on turnover intentions were collected through a structured questionnaire designed to capture various factors influencing nurses' decisions to leave their current positions. The questionnaire included items on demographics, work environment, job satisfaction, and potential reasons for turnover. Statistical analyses in SPSS included descriptive statistics, Chi-square tests, and multiple logistic regression to identify and predict factors influencing serious turnover intentions.

Results: A significant proportion expressed their intention to leave their current hospital with 38.6% contemplated leaving. Notably, 53.7% intended to turnover, with 18.4% seriously considering it. Non-Saudi nurses were more inclined to cite excessive workload and poor management. Predictors of serious turnover intentions included non-Saudi nationality, lower salary, shorter experience as a registered nurse, and working in critical care. Dissatisfaction with salary, organizational communication, and lack of recognition also contributed.

Conclusion: The study emphasizes the need for targeted interventions to address factors driving nurse turnover in Saudi Arabia. Health policymakers and managers should improve salary structures and managerial support to reduce turnover intentions. Implementing these measures will not only improve job satisfaction among nurses but also ensure a more stable and effective healthcare workforce, ultimately leading to better patient care and outcomes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.60
自引率
21.40%
发文量
218
审稿时长
34 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信