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长期精神病护理机构护理人员自愿离职的因果模型。

A causal model of voluntary turnover among nursing personnel in long-term psychiatric settings.

作者信息

Alexander J A, Lichtenstein R, Oh H J, Ullman E

机构信息

University of Michigan, School of Public Health, Department of Health Management and Policy, Ann Arbor 48109, USA.

出版信息

Res Nurs Health. 1998 Oct;21(5):415-27. doi: 10.1002/(sici)1098-240x(199810)21:5<415::aid-nur5>3.0.co;2-q.

Abstract

Causal modeling was used to explore the processes by which individual characteristics, job satisfaction, and intention to quit explain turnover among nursing personnel in 29 Department of Veterans Affairs (VA) long-term psychiatric settings. The sample consisted of 1,106 registered nurses (RNs), licensed practical nurses (LPNs), and nurses' aides. We conceptualized turnover as a multistage process linking social and experiential orientations, attitudes toward the job, the decision to quit, and the behavior of actually quitting. Intention to quit was the strongest direct predictor of turnover. Professional growth opportunities and workload were important indirect predictors of turnover. Dissatisfaction with work hazards and relationships with coworkers were both indirect and direct predictors of turnover. Attitudes towards the job varied by nursing group. LPNs and aides were less satisfied than RNs with autonomy and work hazards. RNs were more dissatisfied with workload. We conclude that strategies to promote retention need to address aspects of jobs tailored to specific nursing groups.

摘要

因果模型被用于探究个体特征、工作满意度和离职意愿在29个退伍军人事务部(VA)长期精神病护理机构中对护理人员离职率的解释过程。样本包括1106名注册护士(RN)、执业护士(LPN)和护理助理。我们将离职概念化为一个多阶段过程,该过程将社会和经验取向、对工作的态度、离职决定以及实际离职行为联系起来。离职意愿是离职率最强的直接预测因素。职业发展机会和工作量是离职率重要的间接预测因素。对工作风险的不满以及与同事的关系既是离职率的间接预测因素,也是直接预测因素。不同护理群体对工作的态度各不相同。执业护士和护理助理对自主权和工作风险的满意度低于注册护士。注册护士对工作量更为不满。我们得出结论,促进留用的策略需要针对特定护理群体的工作方面加以解决。

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