Influential Factors and Heterogeneity on Physician Performance in Online Health Communities Based on Patients’ Psychology: Take the Good Physician Online as an Example
DOI: https://doi.org/10.62517/jmsd.202512209
Author(s)
Nan Ding*, Xiaoya Ding
Affiliation(s)
School of Public Administration, Sichuan University, Sichuan, China
*Corresponding Author
Abstract
With the rapid development of Internet healthcare, online health communities in China have flourished and become an effective means of solving the major practical problems of residents, such as "difficult to register" and "difficult to see a physician". By taking part in online health communities, physicians may reap the advantages for themselves and their patients as well as gain recognition and money simultaneously. This paper selects the data of 7872 physicians on the Good physician Online as the research sample, and find that online and offline evaluation, online and offline satisfaction and gift numbers all have a significant effect on the amount of online inquiries, and articles has a non-significant effect, while there is a heterogeneity in the effect of different traits of hospitals and physicians on physician performance. This paper concludes that when choosing a physician online, patients typically favor physicians with more evaluations, higher satisfaction and title, indicating a preference for specialized treatment during the consultation stage and thorough, methodical integrated healing during the recovery stage. With the goal to meet patients' health needs and improve their own performance, physicians must be patient-focused, combine the psychological tendencies of patients, continuously offer patients higher-quality medical services.
Keywords
Online Health Communities; Physician Performance; Two-way Fixed Effects Modeling; Patients’ Psychology
References
[1]Fu XQ, Li CH, Wan J et al. Influence of Internet Healthcare on Offline Medical Treatment Mode of a Grade-A Tertiary Hospital in Wuhan. Medicine and Society, 2022, 35(9):133-137.
[2]China Internet Research Center. “China Internet Development Statistics Report”.(2023-03-02) [2024-01-20]. https://www.cnnic.net.cn/n4/2023/0303/c88-10757.html
[3]Wu JQ, Qian DF. Hot Spots and Future Prospects of Internet Healthcare Research——Based on the Bibliometric Perspective of the Web of Science. Journal of Nanjing Medical University (Social Sciences), 2023, 23(6): 539-545.
[4]National Internet Information Office. “Digital China Development Report 2022”.(2023-05-23) [2024-01-20]. http://www.cac.gov.cn/2023-05/22/c_1686402318492248.htm
[5]Guo HN, Liu BY, Xu WX et al. Overseas Experience of “Online Health Community” and Its Enlightenment to China. Chinese Medical Ethics, 2021, 34(10): 1338-1341.
[6]Li CQ. Research on Influencing Factors of User Satisfaction in Online Healthy Communities Based on Kano Model. Zhengzhou University 2020.
[7]Cao ZL, Cai J, Liu RJ. The Research on the Development of Online Health Communities in China Based on SWOT Analysis. Soft Science of Health, 2022, 36(1): 32-35.
[8]Yuan QR. Construction of User Portrait Model of Online Health Community Based on K-MEANS. Scientific Information Research, 2021, 3(4): 95-106.
[9]Chen ZW, Zhang JY, Gu JY. Connotation of Internet Medical Services and the Remodeling of Medical Service Process. Chinese Hospital Management, 2021, 41(2): 70-73.
[10]Zhou ZL. The Current Situation, Problems and Development Path of "Internet + Medical". People's Tribune, 2021, (22): 88-91.
[11]Zhang ZH, Xiong JJ, Zhang C. Perceived Risk of Online Diagnosis and Treatment, and Prevention and Control Based on Technology Integration. Journal of Public Management, 2022, 19(4): 79-89+170.
[12]Hu M, Zhang YC. Research on Identifying the Architecture and Key Influencing Elements of the Online Health Community Ecosystem. Library and Information Service, 2023, 67(2): 33-43.
[13]Wang YH. Research on Epidemic Risk Identification Model Based on Users Information Behavior in Online Health Community: Case Study of “Covid-19”. Information Research, 2022, (06): 26-36.
[14]An CY. Research on the Development Status and Future Prospects of Online Health Community. Industrial Innovation, 2020, (14): 32-33.
[15]Zhang S, Wang WT, Xie YQ. Evolutionary Regularity and Dynamic Mechanism of Online Health Community Users’ Continuous Participation Behavior. Journal of Modern Information, 2021, 41(05): 59-66.
[16]Wang YC. Research on the Influencing Factors of Users’ Health Information Disclosure Intention in Online Medical Community. Journal of Information Resources Management, 2018, 8(01): 93-103+113.
[17]Wang YC, Zhou Y, Liao ZY. Health Privacy Information Self-Disclosure in Online Health Community. Front Public Health, 2021, 8: 602792.
[18]Yuan J, Guo LY. Influencing Factors Analysis of Discontinuous Use Behaviors of Users on Online Health Communities. Journal of Modern Information, 2022, 42(02): 81-93.
[19]Zhang XF, Guo, XY, Wu Y, Lai KH, Vogel D. Exploring the Inhibitors of Online Health Service Use Intention: A Status Quo Bias Perspective. Information & Management, 2017, 54(8): 987-997.
[20]Wu ZT, Wu TL. Study on the Influencing Factors of Patients’ Trust in Physicians in Online Health Community. Journal of Medical Informatics, 2022, 43(01): 23-29.
[21]Pan TT, Lv YJ. Research on Influencing Factors of User Participation Behavior Based on SOR Model in Online Health Community. Information and Documentation Services, 2022, 43(02): 76-83.
[22]Chen, Q et al. Understanding Physicians' Motivations for Community Participation and Content Contribution in Online Health Communities. Online Inf. Rev, 2022, (47): 604-629.
[23]Chen JJ, Liu YM, Xie YQ. Reputation Incentive Model of Online Health Community Diagnosis and Treatment Service. Journal of Huaibei Normal University (Natural Sciences), 2022, 43(01): 61-67.
[24]G. Umefjord, G. Petersson, K. Hamberg. Reasons for Consulting a Physician on the Internet: Web Survey of Users of an Ask the Physician Service. Journal of Medical Internet Research, 2003, 5(4).
[25]C. Perron, R.G. Bachur, A.M. Stack. Development, Implementation, and Use of an Emergency Physician Performance Dashboard. Clinical Pediatric Emergency Medicine, 2017, 18(2): 115-123.
[26]S.F. Lu, H Rui. Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida. Management Science, 2017, (64): 2557-2573.
[27]H. Wu, N. Lu. How Your Colleagues’ Reputation Impact Your Patients’ Odds of Posting Experiences: Evidence from an Online Health Community. Electronic Commerce Research & Applications, 2016, 16(C): 7-17.
[28]M. Kelly, L.K. Freeman, T. Dornan. Family Physicians’ Experiences of Physical Examination. Annals of Family Medicine, 2019, 17(4): 304-310.
[29]Xu XT, Yang MQ, Song XK. Exploring the Impact of Physicians’ Word of Mouth on Patients’ Selection in Online Health Community. Journal of Modern Information, 2019, 39(08): 20-28+36.
[30]Li JY, Deng ZH, Wu H. Empirical Research on the Application of Virtual Teams in Healthcare Services. Chinese Journal of Management, 2020, 17(08): 1238-1244.
[31]Yang H, Yang Z et al. The Impact of Team Diversity on Physician Teams' Performance in Online Health Communities. Information Process Management, 2021, (58):102421.
[32]Si GS, Liu S, Wu YK. Effect of the Diversity of Physician Team on the Service Performance on Online Health Platform. Chinese Journal of Management, 2023, 20(3): 422-431.
[33]LI J Y, WU H, DENG Z H, et al. Why Online Medical Teams Disband? The Role of Team Diversity and Leadership Type. Information Technology & People, 2020, 34(3): 1175-1199.
[34]LI J Y, WU H, DENG Z H, et al. How Professional Capital and Team Heterogeneity Affect the Demands of Online Team-based Medical Service. BMC Medical Informatics and Decision Making, 2019, 19(1): 1-15.
[35]WU H, DENG Z H. Knowledge Collaboration Among Physicians in Online Health Communities: a Transactive Memory Perspective. International Journal of Information Management, 2019, (49): 13-33.
[36]Xu M, Zhang SW, Xiao W. Topic Mining and Emotional Tendency Analysis of Online Health Community Based on Patient evaluations-Taking Good physician Online as an Example. Modern Business Trade Industry, 2022, 43(20): 238-240.
[37]Lei YL, Guo X, Yang L. Research on User Satisfaction of Mobile Medical Platform Based on CCSI Model——Take Good physician Online as an Example. Software, 2020, 41(03):47-50.