PDF(Pubmed)
Abstract：
OBJECTIVE: The family physician team has become the core carrier for delivery primary health care in China. This study aimed to measure the effect of the network structural characteristics of family physician team processes on health performance. Strategic recommendations for optimizing the family physician team processes with a view to improving performance were presented.
METHODS: A cross-sectional survey was conducted from October to December 2021 in Qianjiang in Hubei Province and Changsha in Hunan Province. Task performance, contextual performance, social networks, and sociodemographic characteristics were collected. Social network analysis was conducted to calculate density and centralization, then hierarchical linear regression analysis was employed to explore the relationship between the network structural characteristics of family physician team processes and performance.
RESULTS: In total, 88 family physician teams attended in this investigation. The transition processes of family physician team showed a distinctive low density (0.272 ± 0.112), high centralization (0.866 ± 0.197) network structure. For family physician team, the density of action processes significantly and positively affected task performance (B = 0.600, P < 0.05); the centralization of action processes positively affected task performance (B = 0.604, P < 0.01); the density of action processes positively affected contextual performance (B = 0.545, P < 0.01); the density of interpersonal processes significantly and positively affected contextual performance (B = 0.326, P < 0.05).
CONCLUSIONS: The network density and centralization of family physician team processes have positive effects on chronic disease management performance. The results from this study help to enhance our conceptual understanding of social network and its implications for team-dynamics. Optimizing family physician team processes is an effective way to strengthen the construction of family physician team and promote the quality and efficiency of family physician-contracted service. It is recommended to strengthen the management of team processes, enhance the internal collaboration mechanism, and optimize the centralized network structure of family physician team.
METHODS: A cross-sectional survey was conducted from October to December 2021 in Qianjiang in Hubei Province and Changsha in Hunan Province. Task performance, contextual performance, social networks, and sociodemographic characteristics were collected. Social network analysis was conducted to calculate density and centralization, then hierarchical linear regression analysis was employed to explore the relationship between the network structural characteristics of family physician team processes and performance.
RESULTS: In total, 88 family physician teams attended in this investigation. The transition processes of family physician team showed a distinctive low density (0.272 ± 0.112), high centralization (0.866 ± 0.197) network structure. For family physician team, the density of action processes significantly and positively affected task performance (B = 0.600, P < 0.05); the centralization of action processes positively affected task performance (B = 0.604, P < 0.01); the density of action processes positively affected contextual performance (B = 0.545, P < 0.01); the density of interpersonal processes significantly and positively affected contextual performance (B = 0.326, P < 0.05).
CONCLUSIONS: The network density and centralization of family physician team processes have positive effects on chronic disease management performance. The results from this study help to enhance our conceptual understanding of social network and its implications for team-dynamics. Optimizing family physician team processes is an effective way to strengthen the construction of family physician team and promote the quality and efficiency of family physician-contracted service. It is recommended to strengthen the management of team processes, enhance the internal collaboration mechanism, and optimize the centralized network structure of family physician team.
摘要：
目的：家庭医生队伍已成为我国开展初级卫生保健的核心载体。本研究旨在测量家庭医生团队过程的网络结构特征对健康绩效的影响。提出了优化家庭医生团队流程以提高绩效的战略建议。
方法：于2021年10月至12月在湖北潜江和湖南长沙进行了横断面调查。任务性能,上下文性能，社交网络,并收集了社会人口统计学特征。进行了社会网络分析来计算密度和集中化，然后采用层次线性回归分析探讨了家庭医生团队过程网络结构特征与绩效之间的关系。
结果：总计，88个家庭医生团队参加了这项调查。家庭医生团队的过渡过程表现出独特的低密度（0.272±0.112），高度集中(0.866±0.197)的网络结构。对于家庭医生团队来说，行动过程的密度对任务绩效有显著的正向影响(B=0.600,P<0.05);行动过程的集中化对任务绩效有正向影响(B=0.604,P<0.01);行动过程的密度对情境绩效有正向影响(B=0.545,P<0.01);人际过程的密度对情境绩效有显著的正向影响(B=0.326,P<0.05)。
结论：家庭医生团队流程的网络密度和集中化对慢性病管理绩效有积极影响。这项研究的结果有助于增强我们对社交网络的概念理解及其对团队动力学的影响。优化家庭医生队伍流程是加强家庭医生队伍建设,促进家庭医生签约服务质量和效率的有效途径。建议加强对团队流程的管理,加强内部协作机制，优化家庭医生队伍的集中网络结构。
方法：于2021年10月至12月在湖北潜江和湖南长沙进行了横断面调查。任务性能,上下文性能，社交网络,并收集了社会人口统计学特征。进行了社会网络分析来计算密度和集中化，然后采用层次线性回归分析探讨了家庭医生团队过程网络结构特征与绩效之间的关系。
结果：总计，88个家庭医生团队参加了这项调查。家庭医生团队的过渡过程表现出独特的低密度（0.272±0.112），高度集中(0.866±0.197)的网络结构。对于家庭医生团队来说，行动过程的密度对任务绩效有显著的正向影响(B=0.600,P<0.05);行动过程的集中化对任务绩效有正向影响(B=0.604,P<0.01);行动过程的密度对情境绩效有正向影响(B=0.545,P<0.01);人际过程的密度对情境绩效有显著的正向影响(B=0.326,P<0.05)。
结论：家庭医生团队流程的网络密度和集中化对慢性病管理绩效有积极影响。这项研究的结果有助于增强我们对社交网络的概念理解及其对团队动力学的影响。优化家庭医生队伍流程是加强家庭医生队伍建设,促进家庭医生签约服务质量和效率的有效途径。建议加强对团队流程的管理,加强内部协作机制，优化家庭医生队伍的集中网络结构。
