Evaluating the Information Usefulness of Online Health Information for Third-party Patients

被引:0
作者
Shi, Dingyu [1 ]
Ren, Changchang [1 ]
Liu, Yixuan [1 ]
Zhang, Xiaofei [1 ]
机构
[1] Nankai Univ, Business Sch, Tianjin 300071, Peoples R China
来源
PROCEEDINGS OF NINETEENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS | 2020年
基金
中国国家自然科学基金;
关键词
Online health interaction; third-party patients; treatment information; prevention information; emotional support; information uncertainty; SOCIAL SUPPORT; UNCERTAINTY MANAGEMENT; STRESS; COMMUNICATION; COMMUNITIES; SEEKING;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Online health interactions (OHIs) can benefit patients, physicians, and society. However, little research has been conducted that studies the social value of OHIs for third-party patients who view previous OHIs concerning similar health issues to theirs. Drawing on the literature on social support and information uncertainty, this study established a theoretical model to explore the roles of treatment information, prevention information, and emotional support in determining information usefulness perceived by third-party patients, and whether such relationships are contingent on information uncertainty. The model was tested using "health questions and answers" textual data from 1,848 OHIs. The results indicate that prevention information and emotional support significantly improve information usefulness perceived by third-party patients. When the level of information uncertainty regarding physicians' replies is high, the effect of treatment information is strengthened and the effect of emotional support is weakened, indicating both positive and negative contingent roles of information uncertainty. This study has implications for practitioners and also contributes to the literature on online health information, social support, information science, and information uncertainty.
引用
收藏
页码:431 / 438
页数:8
相关论文
共 34 条
[1]  
[Anonymous], 2014, P COLING 2014 25 INT
[2]   The benefits and challenges of online professional-patient interaction: Comparing views between users and health professional moderators in an online health community [J].
Atanasova, Sara ;
Kamin, Tanja ;
Petric, Gregor .
COMPUTERS IN HUMAN BEHAVIOR, 2018, 83 :106-118
[3]  
Attfield Simon J, 2006, Health Informatics J, V12, P165, DOI 10.1177/1460458206063811
[4]  
Bambina, 2007, ONLINE SOCIAL SUPPOR
[5]   Do Internet-based support interventions change perceptions of social support? An experimental trial of approaches for supporting diabetes self-management [J].
Barrera, M ;
Glasgow, RE ;
McKay, HG ;
Boles, SM ;
Feil, EG .
AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY, 2002, 30 (05) :637-654
[6]  
Berkman L.F., 2000, SOCIAL EPIDEMIOLOGY, DOI DOI 10.1093/OSO/9780195083316.003.0007
[7]  
Brashers DE, 2007, LEA COMMUN SER, P223
[8]   STRESS, SOCIAL SUPPORT, AND THE BUFFERING HYPOTHESIS [J].
COHEN, S ;
WILLS, TA .
PSYCHOLOGICAL BULLETIN, 1985, 98 (02) :310-357
[9]  
COLE C, 1993, J AM SOC INFORM SCI, V44, P204, DOI 10.1002/(SICI)1097-4571(199305)44:4<204::AID-ASI3>3.0.CO
[10]  
2-4