Abstract:

The online healthcare community has abundant doctors and multiple sources of doctor online evaluation information, where patients will face choice overload problems and are not sure how to choose the appropriate doctor based on various information. In this paper, based on the configuration perspective of holism, the second-hand data in the haodf. com was collected, and the fsQCA method was utilized to investigate how the coordination of information from multiple sources affects patients’ choices for online consultations. The research results show that the doctors’ online evaluation information cannot separately constitute a necessary condition for the online consultation choice of high or non-high patients. there are four driving modes that generate high patient online consultation choices and four driving modes that generate non-high patient online consultation choices, with an asymmetric relationship. This paper, for the first time, analyzes the driving factors of patients’ online consultation choice from the perspective of holistic configuration, expanding the research scope of patients’ online consultation choice, and providing important practical value for online matching of doctors and patients and improving doctors’ online influence.

Key words:

online healthcare community, doctor online evaluation information, patient online consultation choice, fuzzy-set qualitative comparative analysis (fsQCA)

摘要：

在线健康社区拥有大量医生及多种来源的医生在线评价信息，患者面临选择过载问题并不确定如何根据各种信息选择合适的医生。基于整体论的组态视角，采集好大夫在线平台中的二手数据，利用fsQCA方法，探究多种来源信息的协同对患者在线问诊选择的影响。研究结果表明：各种医生在线评价信息均无法单独构成高或非高患者在线问诊选择的必要条件；存在4种产生高患者在线问诊选择的驱动模式以及4种产生非高患者在线问诊选择的驱动模式，两者存在非对称关系。首次从整体论的组态视角对患者在线问诊选择的驱动因素进行分析，拓展了患者在线问诊选择的研究范畴，为医患在线匹配以及提高医生在线影响力提供了重要的实践价值。

关键词:

在线健康社区, 医生在线评价信息, 患者在线问诊选择, 模糊集定性比较分析