确定影响预期更替率的护士特征。

Mohammad Suliman, Mean Aljezawi, Shaheerha Almansi, Ahmad Musa, Manar Alazam, Wafa'a F Ta'an
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引用次数: 0

摘要

背景:在约旦,护士流失是一个普遍而严重的问题,许多护士离职到国外寻找更好的机会。因此,评估预期护士流失率及其影响因素,以防止代价高昂且不必要的人员流失非常重要。目的:评估预期护士流失率及其预测因素,并在公立医院和大学附属(教学)医院之间进行比较:方法:采用描述性、横断面和比较设计。该量表由 12 个与护士离职意向相关的项目组成,采用李克特七分量表评分。我们向约旦北部三家公立医院和一家大学附属医院的 280 名护士发放了调查问卷。采用描述性统计、多元回归和独立 t 检验对数据进行分析:共收到 250 名护士的问卷回复,回复率为 89%。研究发现,68% 的受访者打算离职。年龄越大、经验越丰富、学历越高,护士离职的可能性越大。与在公立医院工作的护士相比,在大学附属医院工作的护士离职意愿更高:本研究发现,在约旦北部医院工作的大部分护士都在考虑离职,而护士的特点在决定预期离职率方面起着重要作用。这项研究的结果可以为约旦的政策制定者和利益相关者提供指导,帮助他们制定政策和留住人才计划,从而改善护士的工作环境,降低离职率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying the nurse characteristics that affect anticipated turnover.

Background: Nurse turnover is a prevalent and serious issue in Jordan, with many nurses leaving their jobs to search for better opportunities outside the country. It is therefore important to assess anticipated nurse turnover and the factors that may affect this, to prevent the costly and unnecessary loss of staff.

Aim: To assess anticipated nurse turnover and its predictors, and to compare these between public and university-affiliated (teaching) hospitals.

Method: A descriptive, cross-sectional and comparative design was used. Anticipated nurse turnover was measured using the Anticipated Turnover Scale, which consists of 12 items related to a nurse's intention to leave their job that are rated using a seven-point Likert-scale. Questionnaires were distributed to 280 nurses from three public hospitals and one university-affiliated hospital in the north of Jordan. Data were analysed using descriptive statistics, multiple regression and independent t-tests.

Results: Questionnaire responses were received from 250 nurses, yielding a response rate of 89%. This study identified that 68% of respondents intended to leave their job. Being older, more experienced and with a higher level of education increased the likelihood of nurse turnover. Nurses working in the university-affiliated hospital had a higher intent to leave compared with those working in public hospitals.

Conclusion: This study found that a high proportion of nurses working in hospitals in the north of Jordan were considering leaving their jobs, and nurses' characteristics had a significant role in determining anticipated turnover. The results of this study could provide policymakers and stakeholders in Jordan with guidance to develop policies and retention programmes that could improve nurses' work environment and reduce turnover.

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