工作投入
心理学
心理干预
心理健康
萧条(经济学)
劳动力
工作(物理)
医疗保健
脆弱性(计算)
社会心理学
抑郁症状
临床心理学
倦怠
员工敬业度
工作量
职业安全与健康
应用心理学
工作满意度
护理部
测量数据收集
职业紧张
失调家庭
心理健康
精神科
幸福
功能(生物学)
作者
K.L. Howard,Stefanie Sliger,Yejun (John) Zhang,Stephanie Layne Dailey,Jérémy E. Lemoine
出处
期刊:Journal of Health Organisation and Management
[Emerald Publishing Limited]
日期:2026-05-18
卷期号:40 (9): 345-363
标识
DOI:10.1108/jhom-10-2025-0670
摘要
Purpose Depression is a prevalent mental health challenge that impairs employees’ ability to function at work and may shorten how long they stay with an organization. Healthcare workers (HCWs) face heightened vulnerability due to emotional strain, long hours and job demands. Drawing on the job demands-resources model, this study examined whether psychological ownership and work engagement could help lessen the negative impact of depression on HCWs’ plans to remain with their employer. Design/methodology/approach We collected data from 199 US HCWs, measuring depressive symptoms, psychological ownership, work engagement and the likelihood of staying at their organization for five years. Findings About one in five participants (22.1%) screened positive for major depressive disorder (MDD) and were less likely to intend to stay with their work organization long term. However, when psychological ownership and work engagement were included, depression was no longer a significant predictor of turnover intention. Practical implications These findings suggest that interventions that foster a sense of ownership and engagement may help healthcare organizations retain valuable staff, even among those experiencing depressive symptoms. Originality/value This study is among the first to show that depression does not inevitably undermine healthcare workers’ retention intentions when psychological ownership and work engagement are present. By integrating the job demands-resources framework with positive psychological resources, the study advances theory and offers actionable pathways for organizations to support workforce stability despite mental health challenges.
科研通智能强力驱动
Strongly Powered by AbleSci AI