Patients need emotional support: Managing physician disclosure information to attract more patients

被引:21
作者
Ouyang, Peng [1 ]
Wang, Jian-Jun [1 ]
Chang, Ai-Chih Jasmine [2 ]
机构
[1] Dalian Univ Technol, Sch Econ & Management, Dalian 116024, Peoples R China
[2] New Jersey Inst Technol, Martin Tuchman Sch Management, Newark, NJ 07102 USA
关键词
Self-disclosed information; Attention; Text mining; Online health community; ONLINE HEALTH COMMUNITIES; SOCIAL SUPPORT; ANTECEDENTS; BEHAVIOR; TRUST; PERSPECTIVE; ATTRIBUTES; INTENTION; FRAMEWORK; FEATURES;
D O I
10.1016/j.ijmedinf.2021.104674
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background: Information asymmetry causes barriers for the patient's decision-making in the online health community. Patients can rely on the physician's self-disclosed information to alleviate it. However, the impact of physician's self-disclosed information on the patient's decision has rarely been discussed. Objectives: To investigate the impact of the physician's self-disclosed information on the patient's decision in the online health community and to examine the moderating effect of the physician's online reputation. Methods: Drawing on the limited-capacity model of attention, we develop a theoretical model to estimate the impact of physician's self-disclosure information on patient's decision and the contingent roles of physician's online reputation in online healthcare community by econometric methods. We designed a web crawler based on R language program to collect more than 20,000 physicians' data from their homepage in Haodf-a leading online healthcare community platform in China. The attributes of the physician's information disclosure are measured by the following variables: emotion orientation, the quantity of information and the semantic topics diversity. Results: The empirical analysis derives the following findings: (1) The emotion orientation in physician's self-disclosure information is positively associated with patient's decision; (2) Both excessive quantity of information and semantic topics diversity can raise barriers for patient's decision; (3) When the level of physician's online reputation is high, the negative effect of the quantity of information and semantic topics diversity are all strengthened while the positive effect of the emotion orientation is not strengthened. Conclusions: This study has a profound importance for a deep understanding of the impact of physician's self-disclosure information and contributes to the literature on information disclosure, the limited capacity model of attention, patient's decision. Also, this study provides implications for practice.
引用
收藏
页数:6
相关论文
共 46 条
  • [1] Differential Effects of Provider Recommendations and Consumer Reviews in E-Commerce Transactions: An Experimental Study
    Benlian, Alexander
    Titah, Ryad
    Hess, Thomas
    [J]. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2012, 29 (01) : 237 - 272
  • [2] Knowing Who Knows: Laypersons' Capabilities to Judge Experts' Pertinence for Science Topics
    Bromme, Rainer
    Thomm, Eva
    [J]. COGNITIVE SCIENCE, 2016, 40 (01) : 241 - 252
  • [3] Online selection of a physician by patients: Empirical study from elaboration likelihood perspective
    Cao, Xianye
    Liu, Yongmei
    Zhu, Zhangxiang
    Hu, Junhua
    Chen, Xiaohong
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 73 : 403 - 412
  • [4] The role of online communities in reducing urban-rural health disparities in China
    Cao, Xiongfei
    Wang, Dan
    [J]. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2018, 69 (07) : 890 - 899
  • [5] The Antecedents and Consequences of Human Behavioral Mimicry
    Chartrand, Tanya L.
    Lakin, Jessica L.
    [J]. ANNUAL REVIEW OF PSYCHOLOGY, VOL 64, 2013, 64 : 285 - 308
  • [6] A linguistic signaling model of social support exchange in online health communities
    Chen, Langtao
    Baird, Aaron
    Straub, Detmar
    [J]. DECISION SUPPORT SYSTEMS, 2020, 130
  • [7] Exploring the influence of doctor-patient social ties and knowledge ties on patient selection
    Chen, Shuqing
    Guo, Xitong
    Wu, Tianshi
    Ju, Xiaofeng
    [J]. INTERNET RESEARCH, 2022, 32 (01) : 219 - 240
  • [8] Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites
    Deng, Zhaohua
    Liu, Shan
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2017, 105 : 98 - 109
  • [9] Fan H, 2014, COMMUN ASSOC INF SYS, V34, P531
  • [10] How Doctors Gain Social and Economic Returns in Online Health-Care Communities: A Professional Capital Perspective
    Guo, Shanshan
    Guo, Xitong
    Fang, Yulin
    Vogel, Doug
    [J]. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2017, 34 (02) : 487 - 519