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社交网络对中国农村高血压管理团队中个体工作绩效的影响。

Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China.

作者信息

Xia Qingyun, Xu Yanyun, Liu Xiang, Liu Yingzi, Wu Jian, Zhang Meng

机构信息

School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.

College of Public Health, Zhengzhou University, Zhengzhou 450001, China.

出版信息

Healthcare (Basel). 2023 Aug 7;11(15):2218. doi: 10.3390/healthcare11152218.

DOI:10.3390/healthcare11152218
PMID:37570458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10419314/
Abstract

BACKGROUND

Limited studies have explored the relationship among cross-organizational and multidisciplinary medical staff.

AIM

The present study conducted an in-depth examination and validation of the influence of complex cross-organization and multidisciplinary social networks on the job performance of team members.

METHOD

Multi-level hierarchical regression analysis was used to assess the impact of the centrality and the characteristics of structural holes in social networks (i.e., advice network, information network, friendship network, and trust network) on job performance.

RESULTS

The in-closeness centrality of the advice network (β = 0.176, < 0.05) and the betweenness centrality of the trust network (β = 0.126, < 0.05) had positive effects on task performance. The in-closeness centrality of the advice network (β = 0.226, < 0.05; β = 0.213, < 0.05) and the CI (1 - constraint index) of the friendship network (β = 0.130, < 0.05; β = 0.132, < 0.05) had positive effects on contextual performance and overall job performance. Meanwhile, the out-closeness centrality of the information network (β = -0.368, < 0.01; β = -0.334, < 0.05) had a negative effect on contextual performance and overall job performance.

CONCLUSIONS

This study investigates the relationship between healthcare professionals' job performance and their social networks, taking into account the perspectives of cross-organizational and multidisciplinary teams. The study contributes to the effort of breaking down barriers between different disciplines and organizations, and ultimately, improving the quality of healthcare delivery.

摘要

背景

仅有有限的研究探讨了跨组织和多学科医务人员之间的关系。

目的

本研究对复杂的跨组织和多学科社会网络对团队成员工作绩效的影响进行了深入研究和验证。

方法

采用多层次分层回归分析来评估社会网络(即建议网络、信息网络、友谊网络和信任网络)中中心性和结构洞特征对工作绩效的影响。

结果

建议网络的内向中心性(β = 0.176,<0.05)和信任网络的中介中心性(β = 0.126,<0.05)对任务绩效有积极影响。建议网络的内向中心性(β = 0.226,<0.05;β = 0.213,<0.05)和友谊网络的CI(1 - 约束指数)(β = 0.130,<0.05;β = 0.132,<0.05)对情境绩效和总体工作绩效有积极影响。同时,信息网络的外向中心性(β = -0.368,<0.01;β = -0.334,<0.05)对情境绩效和总体工作绩效有负面影响。

结论

本研究从跨组织和多学科团队的角度调查了医疗专业人员工作绩效与其社会网络之间的关系。该研究有助于打破不同学科和组织之间的障碍,最终提高医疗服务质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/f01d9c9e9468/healthcare-11-02218-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/449234fb39bf/healthcare-11-02218-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/170abbc188e8/healthcare-11-02218-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/f01d9c9e9468/healthcare-11-02218-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/449234fb39bf/healthcare-11-02218-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/170abbc188e8/healthcare-11-02218-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f56b/10419314/f01d9c9e9468/healthcare-11-02218-g003.jpg

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J Gen Intern Med. 2020 Apr;35(4):1021-1028. doi: 10.1007/s11606-019-05509-2. Epub 2020 Jan 6.
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