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通过提升组织认同感和缓解医疗专业人员在数字领导力中的家庭-工作冲突来减轻焦虑和抑郁症状。

Relieving anxiety and depression symptoms through promoting organizational identity and mitigating family-work conflict among medical professionals in digital leadership.

作者信息

Zhou Xin, Yang Xiao-Jing, Chen Si-Yu, Wen Qing-Wen, Xie Feng-Zhe, Zhang Shu-E

机构信息

Department of Health Management, School of Health Management, Harbin Medical University, Harbin, 150081, China.

出版信息

BMC Public Health. 2024 Dec 23;24(1):3563. doi: 10.1186/s12889-024-20992-x.

DOI:10.1186/s12889-024-20992-x
PMID:39716125
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11664897/
Abstract

BACKGROUND

Digital leadership might be an innovative approach to decreasing the elevated rates of anxiety and depression symptoms among medical professionals, while also enhancing their psychological well-being. This emerging pathway may offer promising strategies to support the mental health of medical professionals. This study seeks to investigate the association among digital leadership, organizational identity, family-work conflict, and anxiety and depression symptoms, and further to uncover the underlying moderating mechanisms interplay.

METHODS

A cross-sectional online survey with 657 valid data were collected from four tertiary hospitals in Harbin, Heilongjiang Province, China, with a response rate of 69.3%. The statistical analysis was conducted employing IBM SPSS Statistics 22.0. Hierarchical regression analysis was performed to scrutinize the pertinent factors associated with anxiety and depression symptoms among medical professionals, while also evaluating the moderating influence of organizational identity and family-work conflict on the nexus among those.

RESULTS

The prevalence of anxiety and depression symptoms among medical professionals was 50.1%. Anxiety and depression symptoms were negatively correlated with digital leadership (r= -0.278, p < 0.01) and organizational identity (r = - 0.318, p < 0.01), and positively correlated with family-work conflict (r = 0.445, p < 0.01). Organizational identity (β = - 0.938, p < 0.05) and family-work conflict (β = 0.698, p < 0.05) moderate the relationship between digital leadership and anxiety and depression symptoms; The results of the simple slope analysis indicated that high organizational identity and low family-work conflict strengthened the effect of digital leadership on anxiety and depression symptoms among Chinese medical professionals.

CONCLUSIONS

The prevalence of anxiety and depression symptoms among medical professionals was noted to be high. This study posits that strengthening digital leadership could apparently improve anxiety and depression symptoms among medical professionals. Moreover, it highlights the moderating role of organizational identity and family-work conflict in the relationship between digital leadership and anxiety and depression symptoms. These discoveries underscore the significance of implementing support and interventions to enhance the mental well-being of medical professionals, encompassing the cultivation of organizational identity, reduction of family-work conflict, and acknowledgment of the potential role of digital leadership in addressing mental health challenges.

摘要

背景

数字领导力可能是一种创新方法,可降低医疗专业人员中焦虑和抑郁症状的高发病率,同时还能提升他们的心理健康水平。这一新兴途径可能会提供有前景的策略来支持医疗专业人员的心理健康。本研究旨在调查数字领导力、组织认同、家庭工作冲突与焦虑和抑郁症状之间的关联,并进一步揭示潜在的调节机制相互作用。

方法

在中国黑龙江省哈尔滨市的四家三级医院收集了657份有效数据的横断面在线调查,回复率为69.3%。使用IBM SPSS Statistics 22.0进行统计分析。进行分层回归分析,以审查与医疗专业人员焦虑和抑郁症状相关的相关因素,同时评估组织认同和家庭工作冲突对这些因素之间关系的调节影响。

结果

医疗专业人员中焦虑和抑郁症状的患病率为50.1%。焦虑和抑郁症状与数字领导力(r = -0.278,p < 0.01)和组织认同(r = -0.318,p < 0.01)呈负相关,与家庭工作冲突(r = 0.445,p < 0.01)呈正相关。组织认同(β = -0.938,p < 0.05)和家庭工作冲突(β = 0.698,p < 0.05)调节数字领导力与焦虑和抑郁症状之间的关系;简单斜率分析结果表明,高组织认同和低家庭工作冲突增强了数字领导力对中国医疗专业人员焦虑和抑郁症状的影响。

结论

注意到医疗专业人员中焦虑和抑郁症状的患病率很高。本研究认为,加强数字领导力显然可以改善医疗专业人员的焦虑和抑郁症状。此外,它突出了组织认同和家庭工作冲突在数字领导力与焦虑和抑郁症状之间关系中的调节作用。这些发现强调了实施支持和干预措施以提高医疗专业人员心理健康水平的重要性,包括培养组织认同、减少家庭工作冲突以及认识到数字领导力在应对心理健康挑战方面的潜在作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9a/11664897/43c89d834492/12889_2024_20992_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9a/11664897/4c7e2eceea47/12889_2024_20992_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9a/11664897/4c7e2eceea47/12889_2024_20992_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9a/11664897/2c73e0dc4539/12889_2024_20992_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b9a/11664897/1645ae269814/12889_2024_20992_Fig3_HTML.jpg
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