Understanding Asking and Responding Behaviors on an Online Health Question-and-Answer Platform: Improving Health Resource Acquisition for Patients with Diverse Disease Conditions

Author:

Guo Huijing1,Liu Xiaoxiao2,Shi Di3,Hu Mingye4,Ju Xiaofeng1

Affiliation:

1. School of Management, Harbin Institute of Technology, Harbin, Heilongjiang, China

2. School of Management, Xi’an Jiaotong University, Xi’an, Shaanxi, China

3. Cullen College of Engineering, University of Houston, Houston, TX, United States

4. School of Economics and Management, Xi’an University of Technology, Xi’an, Shaanxi, China

Abstract

Objectives: Our aim was to enhance patients′ access to health resources. We investigated the effect of patients′ inquiry behaviors on doctors′ responses with online health Q&A platforms. Methods: We obtained data from 6588 medical questions and 69,217 answers from a leading online health Q&A platform in China. We conducted ordinary least squares regression with robust standard errors and a series of robustness checks, including the Poisson model and negative binomial regression, as well as alternative measurement methods. Results: We found that longer questions can lead to a decrease in response numbers. However, they also can elicit longer responses from doctors. Additionally, a bounty can incentivize more doctors to engage in and provide longer responses. The results also reveal that a patients′ negative emotions can weaken the impact of question attributes on the response length. Furthermore, for high-severity questions compared to low-severity ones, all the main effects are weakened. Conclusions: When patients post longer questions, this increases response length and decreases answer numbers; providing more bounty attracts longer and more numerous answers. At the same time, patients with different disease conditions should expect different responses.

Publisher

JCFCorp SG PTE LTD

Subject

Public Health, Environmental and Occupational Health,Social Psychology,Health (social science)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3