Better interaction performance attracts more chronic patients? Evidence from an online health platform

杠杆(统计) 背景(考古学) 心理学 医学 家庭医学 计算机科学 生物 机器学习 古生物学
作者
Huan Liu,Yao Zhang,Yuelin Li,Kendra Albright
出处
期刊:Information Processing and Management [Elsevier]
卷期号:60 (4): 103413-103413 被引量:14
标识
DOI:10.1016/j.ipm.2023.103413
摘要

Online health consultation (OHC) serves as an important approach for patients to take an initial impression of a physician's interaction with their patients. However, little study has paid attention to how physicians leverage their interaction performance to attract patients. Drawing on signaling theory and externality effect, this study investigates how a physician's OHC performance influences patients’ choice of consulting the physician in a chronic disease context on an online health platform. By decomposing a physician's interaction performance into three dimensions, i.e., interaction breadth, interaction length, and interaction depth, this paper provides a novel method to evaluate the physician's performance. Information of 4434 physicians from six departments of chronic diseases at 185 general hospitals in the Tier Three Class A segment across China was collected, including individual information and the OHC records of the physicians. Regression analyses were applied to test the hypotheses. The results indicate that better performance in the interaction breadth and length helps physicians attract more patients while higher interaction depth reduces patients’ choice of physician. A physician's general health knowledge sharing behavior and expertise level intensify the negative effect of interaction depth on patient choice of physician. This study contributes to the literature on online health behavior, chronic disease management, and signaling theory, and offers implications for practice.

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
情怀应助健壮听露采纳,获得10
刚刚
嗯哼大王完成签到,获得积分10
1秒前
2秒前
3秒前
5秒前
清脆亿先发布了新的文献求助10
6秒前
cheng完成签到,获得积分10
6秒前
6秒前
gao发布了新的文献求助10
6秒前
量子星尘发布了新的文献求助10
7秒前
8秒前
KLED发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
9秒前
英俊的铭应助Changfh采纳,获得10
9秒前
Yuzu发布了新的文献求助10
9秒前
充电宝应助科研通管家采纳,获得10
9秒前
9秒前
打打应助科研通管家采纳,获得10
9秒前
打打应助科研通管家采纳,获得10
9秒前
9秒前
彭于晏应助科研通管家采纳,获得10
9秒前
by完成签到,获得积分10
9秒前
彭于晏应助科研通管家采纳,获得10
9秒前
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
一一应助科研通管家采纳,获得10
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
一一应助科研通管家采纳,获得10
9秒前
星辰大海应助科研通管家采纳,获得10
9秒前
今后应助科研通管家采纳,获得10
9秒前
领导范儿应助科研通管家采纳,获得10
10秒前
Jasper应助科研通管家采纳,获得10
10秒前
LHQ完成签到 ,获得积分10
10秒前
Orange应助科研通管家采纳,获得10
10秒前
Lucas应助科研通管家采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Russian Foreign Policy: Change and Continuity 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5728831
求助须知:如何正确求助?哪些是违规求助? 5314940
关于积分的说明 15315299
捐赠科研通 4875926
什么是DOI,文献DOI怎么找? 2619096
邀请新用户注册赠送积分活动 1568732
关于科研通互助平台的介绍 1525223