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

心理学 医学 业务 护理部 家庭医学 医疗急救 知识管理 计算机科学
作者
Peng Ouyang,Jianjun Wang,Ai-Chih Jasmine Chang
出处
期刊:International Journal of Medical Informatics [Elsevier BV]
卷期号:158: 104674-104674 被引量:33
标识
DOI:10.1016/j.ijmedinf.2021.104674
摘要

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.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.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.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.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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zhang发布了新的文献求助10
刚刚
毛毛虫发布了新的文献求助10
1秒前
莹0000发布了新的文献求助10
1秒前
偏偏完成签到,获得积分10
2秒前
2秒前
2秒前
fabea完成签到,获得积分0
3秒前
3秒前
3秒前
eseme完成签到,获得积分10
4秒前
Anna发布了新的文献求助10
4秒前
wanci应助111采纳,获得10
4秒前
5秒前
5秒前
开心砖头完成签到,获得积分10
5秒前
偏偏发布了新的文献求助10
5秒前
M先生发布了新的文献求助10
6秒前
6秒前
daijunhan完成签到,获得积分10
6秒前
谢尔顿完成签到,获得积分10
7秒前
李李发布了新的文献求助10
8秒前
Holder发布了新的文献求助10
8秒前
科研通AI2S应助睿0924采纳,获得10
8秒前
8秒前
顾矜应助lixiang采纳,获得30
9秒前
李洁完成签到,获得积分10
9秒前
9秒前
十三发布了新的文献求助10
10秒前
daijunhan发布了新的文献求助10
11秒前
11秒前
所所应助科研通管家采纳,获得10
11秒前
今后应助科研通管家采纳,获得10
11秒前
顾矜应助科研通管家采纳,获得10
11秒前
11秒前
宋祝福完成签到 ,获得积分10
12秒前
果酱应助科研通管家采纳,获得10
12秒前
隐形曼青应助科研通管家采纳,获得10
12秒前
充电宝应助科研通管家采纳,获得10
12秒前
orixero应助科研通管家采纳,获得10
12秒前
今后应助科研通管家采纳,获得10
12秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6700887
求助须知:如何正确求助?哪些是违规求助? 8442623
关于积分的说明 18035432
捐赠科研通 5936071
什么是DOI,文献DOI怎么找? 2988835
邀请新用户注册赠送积分活动 1964618
关于科研通互助平台的介绍 1908154