College of Management and Economics of Tianjin University, Tianjin City, China.
School of Public Health and Management of Wenzhou Medical University, Wenzhou City, China.
Inquiry. 2023 Jan-Dec;60:469580231183695. doi: 10.1177/00469580231183695.
As online health communities (OHCs) continue to proliferate, narrative reviews on doctors have become a vital reference source for patients when choosing online health services. However, the potential value of subjective information reflecting patient experiences in OHCs has not been fully explored. The present study seeks to investigate the impact of narrative reviews on patients' selection of e-doctors and the extent to which such reviews are moderated by doctors' specialties. This paper collected data from 747 doctors and 105 032 reviews from WeDoctor, one of China's most popular OHCs, in 2019. We employed Latent Dirichlet Allocation topic modeling to extract 3 topics and analyzed their effects on patient e-doctor choice using a multiple regression method. Our findings indicate that Topic 1, clinical skills and effects, had a positive impact on patient choice in OHCs ( = .243, < .001), as did Topic 2, service attitude and trust ( = .130, < .05). However, the impact of Topic 3, convenience, did not show a significant effect in this study. Moreover, our results suggest that the specialty of Internal Medicine can positively moderate the relationship between Topic 1 (clinical skills and effects) and patient e-doctor choice ( = .087, < .05). Based on the findings of this study, e-doctors are encouraged to enhance their technical competence to improve treatment effectiveness and adjust their communication methods to increase patient trust and sense of security. OHC platform managers should accurately understand the key factors that influence patient choice and take measures to improve their service quality accordingly.
随着在线健康社区(OHC)的不断发展,医生的叙事性评价已成为患者在选择在线健康服务时的重要参考来源。然而,OHC 中反映患者体验的主观信息的潜在价值尚未得到充分探索。本研究旨在探讨叙事性评价对患者选择电子医生的影响,以及评价受医生专业影响的程度。本研究于 2019 年从中国最受欢迎的 OHC 之一——微医(WeDoctor)中收集了 747 名医生和 105032 条评价数据。我们采用潜在狄利克雷分配主题模型(Latent Dirichlet Allocation topic modeling)提取了 3 个主题,并使用多元回归方法分析了它们对患者电子医生选择的影响。研究结果表明,主题 1(临床技能和效果)和主题 2(服务态度和信任)对 OHC 中的患者选择有积极影响(=0.243,<0.001;=0.130,<0.05)。然而,主题 3(便利性)的影响在本研究中没有显示出显著效果。此外,我们的研究结果表明,内科专业可以积极调节主题 1(临床技能和效果)与患者电子医生选择之间的关系(=0.087,<0.05)。基于本研究的发现,电子医生应努力提高技术能力以提高治疗效果,并调整沟通方式以增加患者的信任和安全感。OHC 平台管理者应准确了解影响患者选择的关键因素,并采取相应措施提高服务质量。