Influencing Factors of Physician Performance in Online Health Communities
-- Take the Good Doctor Online Website as an Example
Keywords:
Online Health Community; Physician Performance; Two-way Fixed Effects Model.Abstract
Introduction: With the rapid development of the Internet, online health communities are booming, which can effectively solve the practical problems of "difficulty in registration" and "difficulty of receiving medical treatment", while doctors can get remuneration and reputation from it, achieving mutual benefit of both doctors and patients. Methods: This paper used a two-way fixed effects model, and the number of online inquiries was taken as the first-level index of physician performance, the number of online consultations and post-treat management were the second-level indicators. Online comments, online satisfaction, and articles were selected to construct an influencing factor system. Results: It is found that the number of online comments and online satisfaction have a significant impact on physician performance, while articles have not, and there are different influence mechanisms on physician performance in hospitals and doctors with different characteristics. Conclusion: Doctors need to continuously improve their service level and quality, increase the number of online comments and online satisfaction, provide better medical services, reduce doctor-patient disputes, and meet the patients' health needs.
Downloads
References
Information on: www.gov.cn.
Information on: www.cnnic.net.cn.
Information on: www.gov.cn.
Changqing Li: Research on Influencing Factors of User Satisfaction in Online Healthy Communities Based on Kano Model. (MA thesis, Zhengzhou University, China 2020). p. 1.
Information on: www.gov.cn.
Zhiwei Chen, Jiyang Zhang, Jianying Gu. Connotation of Internet Medical Services and the Remodeling of Medical Service Process. Chinese Hospital Management. Vol. 41(2021) No. 02, p. 70-73.
Mo Hu, Yunchao Zhang. Research on Identifying the Architecture and Key Influencing Elements of the Online Health Community Ecosystem. Library and Information Service. Vol. 67 (2023) No.02, p. 33-43.
Xiaofei. Zhang, Xitong. Guo, Yi Wu, et al. Exploring the inhibitors of online health service use intention: A status quo bias perspective. Information & Management. Vol. 54 (2017) No.08, p. 987-997.
G. Umefjord, G. Petersson, K. Hamberg. Reasons for consulting a doctor on the internet: Web survey of users of an ask the doctor service. Journal of Medical Internet Research. Vol. 5(2003) No.04, p. 1-8.
C. Perron, R.G. Bachur, A.M. Stack. Development, implementation, and use of an emergency physician performance dashboard. Clinical Pediatric Emergency Medicine. Vol. 18(2017) No. 02, p. 115-123.
Susan Feng Lu, Huaxia Rui. Can we trust online physician ratings? Evidence from cardiac surgeons in Florida. Management Science. Vol. 64(2017) No.06, p. 2557-2573.
Hong Wu, Naiji Lu. How your colleagues’ reputation impacts your patients’ odds of posting experiences: Evidence from an online health community. Electronic Commerce Research and Applications. Vol. 16(2016) No. C, p. 7-17.
M. Kelly, L.K. Freeman, T. Dornan. Family physicians’ experiences of physical examination. Annals of Family Medicine. Vol. 17(2019) No.04, p. 304-310.
Han Yang, Zhijun Yan, Lin Jia, et al. The impact of team diversity on physician teams' performance in online health communities. Information. Process& Management. Vol. 58 (2021) No.01, p. 102421.
Guangsen Ye, Shan Liu, Yike Wu. Effect of the Diversity of Physician Team on Service Performance on Online Health Platform. Chinese Journal of Management. Vol.20(2023) No.03, p. 422-431.
Downloads
Published
Conference Proceedings Volume
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.








