Literature DB >> 26262164

Consumer Health Information Needs and Question Classification: Analysis of Hypertension Related Questions Asked by Consumers on a Chinese Health Website.

Haihong Guo1, Jiao Li1, Tao Dai1.   

Abstract

This study built up a classification schema of consumer health questions which consisted of 48 quaternary categories and 35 annotation rules. Using such a schema, we manually classified 2,000 questions randomly selected from nearly 100 thousand hypertension-related messages posted by consumers on a Chinese health website to analyze the information needs of health consumers. The results showed questions in the categories of treatment, diagnosis, healthy lifestyle, management, epidemiology, and health provider choosing were 48.1%, 23.8%, 11.9%, 5.2%, 9.0%, and 1.9% respectively. The comparison of the questions asked by consumers and physicians showed that their health information needs were significantly different (P<0.0001).

Entities:  

Mesh:

Year:  2015        PMID: 26262164

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  Comparing Cancer Information Needs for Consumers in the US and China.

Authors:  Zongcheng Ji; Yaoyun Zhang; Jun Xu; Xiaoling Chen; Yonghui Wu; Hua Xu
Journal:  Stud Health Technol Inform       Date:  2017

2.  Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet.

Authors:  Haihong Guo; Xu Na; Li Hou; Jiao Li
Journal:  J Med Internet Res       Date:  2017-06-20       Impact factor: 5.428

3.  Health information needs regarding diabetes mellitus in China: an internet-based analysis.

Authors:  Tian-Hao Wang; Xiao-Feng Zhou; Yuan Ni; Zhi-Gang Pan
Journal:  BMC Public Health       Date:  2020-06-23       Impact factor: 3.295

4.  Qcorp: an annotated classification corpus of Chinese health questions.

Authors:  Haihong Guo; Xu Na; Jiao Li
Journal:  BMC Med Inform Decis Mak       Date:  2018-03-22       Impact factor: 2.796

5.  Multidimensional Feature Classification of the Health Information Needs of Patients With Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study.

Authors:  Aijing Luo; Zirui Xin; Yifeng Yuan; Tingxiao Wen; Wenzhao Xie; Zhuqing Zhong; Xiaoqing Peng; Wei Ouyang; Chao Hu; Fei Liu; Yang Chen; Haiyan He
Journal:  J Med Internet Res       Date:  2020-05-29       Impact factor: 5.428

  5 in total

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