• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

医生晋升对在线医疗社区的影响:采用双重差分法。

Impacts of physician promotion on the online healthcare community: Using a difference-in-difference approach.

作者信息

Hsu Yuan-Teng, Chiu Ya-Ling, Wang Jying-Nan, Liu Hung-Chun

机构信息

Research Center of Finance, Shanghai Business School, Shanghai, China.

College of International Business, Zhejiang Yuexiu University, Zhejiang, China.

出版信息

Digit Health. 2022 Jun 5;8:20552076221106319. doi: 10.1177/20552076221106319. eCollection 2022 Jan-Dec.

DOI:10.1177/20552076221106319
PMID:35694119
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9174568/
Abstract

In this study, we use a difference-in-difference approach to explore how physician promotion, the advancement of a physician's offline reputation, affects patient behavior toward physicians in online healthcare communities; this allows us to explore how patients interpret the signals created by physician promotion. The study sample was collected from over 140,000 physician online profiles after 25 months of continuous observation, with 280 physicians who were promoted at month 13 as the treatment group and a control group obtained by propensity score matching. Our results show that a physician's promotion causes more patients to choose that physician, makes patients willing to give more psychological rewards, and makes them tend to give that physician a higher online rating. This implies that patient behavior is susceptible to the signal of physician promotion because the quality of the physician is unlikely to have changed significantly in the short term. These findings extend prior research on reputation in online communities and have crucial implications for theory and practice.

摘要

在本研究中,我们采用双重差分法来探究医生晋升(即医生线下声誉的提升)如何影响患者在在线医疗社区中对医生的行为;这使我们能够探究患者如何解读医生晋升所产生的信号。研究样本是在连续观察25个月后从超过14万份医生在线档案中收集的,其中在第13个月晋升的280名医生作为治疗组,并通过倾向得分匹配获得一个对照组。我们的结果表明,医生的晋升会使更多患者选择该医生,使患者愿意给予更多心理奖励,并使他们倾向于给该医生更高的在线评分。这意味着患者行为容易受到医生晋升信号的影响,因为医生的质量在短期内不太可能发生显著变化。这些发现扩展了先前关于在线社区声誉的研究,对理论和实践具有至关重要的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/4474055d4223/10.1177_20552076221106319-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/65230ddc9eb7/10.1177_20552076221106319-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/190ccc7ae5e1/10.1177_20552076221106319-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/39309dce7ca1/10.1177_20552076221106319-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/7bbef4877846/10.1177_20552076221106319-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/4474055d4223/10.1177_20552076221106319-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/65230ddc9eb7/10.1177_20552076221106319-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/190ccc7ae5e1/10.1177_20552076221106319-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/39309dce7ca1/10.1177_20552076221106319-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/7bbef4877846/10.1177_20552076221106319-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f654/9174568/4474055d4223/10.1177_20552076221106319-fig5.jpg

相似文献

1
Impacts of physician promotion on the online healthcare community: Using a difference-in-difference approach.医生晋升对在线医疗社区的影响:采用双重差分法。
Digit Health. 2022 Jun 5;8:20552076221106319. doi: 10.1177/20552076221106319. eCollection 2022 Jan-Dec.
2
Understanding a Nonlinear Causal Relationship Between Rewards and Physicians' Contributions in Online Health Care Communities: Longitudinal Study.理解在线医疗社区中奖励与医生贡献之间的非线性因果关系:纵向研究
J Med Internet Res. 2017 Dec 21;19(12):e427. doi: 10.2196/jmir.9082.
3
Factors that determine a Patient's willingness to physician selection in online healthcare communities: A trust theory perspective.在线医疗社区中决定患者选择医生意愿的因素:信任理论视角
Technol Soc. 2021 Feb;64:101510. doi: 10.1016/j.techsoc.2020.101510. Epub 2021 Jan 7.
4
The Effect of Online Effort and Reputation of Physicians on Patients' Choice: 3-Wave Data Analysis of China's Good Doctor Website.医生的线上付出与声誉对患者选择的影响:基于中国好医生网站的三阶段数据分析
J Med Internet Res. 2019 Mar 8;21(3):e10170. doi: 10.2196/10170.
5
Patients need emotional support: Managing physician disclosure information to attract more patients.患者需要情感支持:管理医生披露信息以吸引更多患者。
Int J Med Inform. 2021 Dec 25;158:104674. doi: 10.1016/j.ijmedinf.2021.104674.
6
Exploring the Effects of Online Rating and the Activeness of Physicians on the Number of Patients in an Online Health Community.探究在线评价和医生活跃度对在线健康社区患者数量的影响。
Telemed J E Health. 2019 Nov;25(11):1090-1098. doi: 10.1089/tmj.2018.0192. Epub 2019 Jan 23.
7
Is physician online information sharing always beneficial to patient education? An attention perspective.医生在线信息共享总是有益于患者教育吗?从注意力的角度看。
Front Public Health. 2022 Aug 30;10:987766. doi: 10.3389/fpubh.2022.987766. eCollection 2022.
8
Influencing Factors of Continuous Use of Web-Based Diagnosis and Treatment by Patients With Diabetes: Model Development and Data Analysis.影响糖尿病患者持续使用网络诊疗的因素:模型开发与数据分析。
J Med Internet Res. 2020 Sep 28;22(9):e18737. doi: 10.2196/18737.
9
Do 360-degree feedback survey results relate to patient satisfaction measures?360度反馈调查结果与患者满意度指标有关吗?
Clin Orthop Relat Res. 2015 May;473(5):1590-7. doi: 10.1007/s11999-014-3981-3.
10
Online written consultation, telephone consultation and offline appointment: An examination of the channel effect in online health communities.在线书面咨询、电话咨询与线下预约:在线健康社区中的渠道效应考察
Int J Med Inform. 2017 Nov;107:107-119. doi: 10.1016/j.ijmedinf.2017.08.009. Epub 2017 Sep 2.

引用本文的文献

1
The impacts on population health by China's regional health data centers and the potential mechanism of influence.中国区域卫生数据中心对人群健康的影响及潜在影响机制。
Digit Health. 2025 Jan 17;11:20552076251314102. doi: 10.1177/20552076251314102. eCollection 2025 Jan-Dec.
2
Exploring Client Preferences for Psychological Counselors in a Chinese Online Health Community: Longitudinal Study.探索中国在线健康社区中客户对心理辅导员的偏好:纵向研究。
J Med Internet Res. 2024 Oct 10;26:e58428. doi: 10.2196/58428.
3
Two cities, two stages in transforming society-a mixed methods study comparing doctors' adoption of mobile apps for communication with patients in Hangzhou and Yancheng, China.

本文引用的文献

1
Causal Effect of Honorary Titles on Physicians' Service Volumes in Online Health Communities: Retrospective Study.荣誉称号对在线健康社区医生服务量的因果效应:回顾性研究。
J Med Internet Res. 2020 Jul 9;22(7):e18527. doi: 10.2196/18527.
2
The Effect of Online Effort and Reputation of Physicians on Patients' Choice: 3-Wave Data Analysis of China's Good Doctor Website.医生的线上付出与声誉对患者选择的影响:基于中国好医生网站的三阶段数据分析
J Med Internet Res. 2019 Mar 8;21(3):e10170. doi: 10.2196/10170.
3
Designing Difference in Difference Studies: Best Practices for Public Health Policy Research.
两个城市,社会转型的两个阶段——一项混合方法研究,比较中国杭州和盐城医生采用移动应用与患者沟通的情况。
Front Public Health. 2024 Feb 5;12:1320949. doi: 10.3389/fpubh.2024.1320949. eCollection 2024.
4
Understanding Physicians' Motivation to Provide Healthcare Service Online in the Digital Age.理解数字时代医生提供在线医疗服务的动机。
Int J Environ Res Public Health. 2022 Nov 16;19(22):15135. doi: 10.3390/ijerph192215135.
设计双重差分研究:公共卫生政策研究的最佳实践。
Annu Rev Public Health. 2018 Apr 1;39:453-469. doi: 10.1146/annurev-publhealth-040617-013507. Epub 2018 Jan 12.
4
Understanding a Nonlinear Causal Relationship Between Rewards and Physicians' Contributions in Online Health Care Communities: Longitudinal Study.理解在线医疗社区中奖励与医生贡献之间的非线性因果关系:纵向研究
J Med Internet Res. 2017 Dec 21;19(12):e427. doi: 10.2196/jmir.9082.
5
Toward Predicting Social Support Needs in Online Health Social Networks.迈向预测在线健康社交网络中的社会支持需求
J Med Internet Res. 2017 Aug 2;19(8):e272. doi: 10.2196/jmir.7660.
6
Association Between Physician Online Rating and Quality of Care.医生在线评分与医疗质量之间的关联
J Med Internet Res. 2016 Dec 13;18(12):e324. doi: 10.2196/jmir.6612.
7
The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews.中国医疗消费者之声:一种基于网络医生评价的文本挖掘方法。
J Med Internet Res. 2016 May 10;18(5):e108. doi: 10.2196/jmir.4430.
8
The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes.在估计治疗对生存结局的影响时,存在模型误设情况下治疗权重逆概率法和倾向得分完全匹配法的表现。
Stat Methods Med Res. 2017 Aug;26(4):1654-1670. doi: 10.1177/0962280215584401. Epub 2015 Apr 30.
9
Using propensity scores in difference-in-differences models to estimate the effects of a policy change.在双重差分模型中使用倾向得分来估计政策变化的影响。
Health Serv Outcomes Res Methodol. 2014 Dec 1;14(4):166-182. doi: 10.1007/s10742-014-0123-z.
10
Matching methods for causal inference: A review and a look forward.因果推断的匹配方法:综述与展望
Stat Sci. 2010 Feb 1;25(1):1-21. doi: 10.1214/09-STS313.