在一个网络中结合多个关系来源,以进一步了解医生对同行影响的信念
Yifan Zhao1, Carly A Bobak2,3, Megan A Murphy4
1Program in Quantitative Biomedical Sciences, Geisel School of Medicine at Dartmouth, Dartmouth Hitchcock Medical Center, Lebanon, 03766, NH, USA.
Health services & outcomes research methodology
|August 29, 2025
概括
基于索赔数据的患者共享网络是基于调查的医生网络的可靠替代方案,以了解医疗保健研究中的同行影响. 这些网络提供了超越直接调查的独特见解.
科学领域:
- 医疗保健研究
- 社会网络分析
- 医学社会学
背景情况:
- 医生关系在医疗研究中至关重要.
- 人们越来越多地使用患者共享网络,
- 直接测量医生关系为网络可靠性提供了基准.
研究的目的:
- 评估患者共享网络与基于调查的网络之间的一致性.
- 评估网络措施与医生对同行影响的信念之间的关联.
- 确定患者共享网络是否是调查数据的可靠替代方案.
主要方法:
- 通过调查得出的网络与来自索赔数据的患者共享网络进行比较.
- 分析了网络措施 (中心性) 和医生信仰之间的关联.
- 使用具有层次和多成员结构的统计模型.
主要成果:
- 调查提名和患者共享网络的中心性 (eigenvector,betweenness) 与医生对同行影响的信念有显著的相关性.
- 患者共享网络提供了不仅仅是调查数据所能捕捉到的独特信息.
- 与单个数据来源相比,结合的网络数据改善了医生信仰的预测.
结论:
- 患者共享网络是健康服务研究中基于调查的名称生成器问题的有价值和可靠的替代方案.
- 这些网络为医生关系和同行影响提供了独特的洞察力.
- 多种来源的网络数据增强了对医生的行为和信仰的理解.
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