[Objective] This paper identifies the influencing factors of online health information sharing intention (OHISI) from the existing literature. It aims to explore the intensity of each influencing factor and the roles of different situational variables. [Methods] A total of 62 research articles were included, and 245 independent effect values corresponding to 24 antecedent variables and five moderator variables affecting OHISI were selected for meta-analysis. [Results] Five variables of perceived risk have no significant impact on OHISI, and the other 19 variables positively impact OHISI. The influence of sharing attitude is the strongest, while the impact of disease severity is the weakest. Education level, identity, social culture, sharing channels, and information types regulate some of the above relationships. [Limitations] Due to the small number of papers, we could not thoroughly examine some moderator variables. [Conclusions] Based on the meta-analysis, we constructed the overall effect model by integrating relevant theories. We also obtained the general knowledge affecting the willingness of online health information sharing. This study also helps the operation optimization of online health platforms and future research in related fields.
李华锋, 温曜东. 基于元分析的在线健康信息分享意愿影响因素研究*[J]. 数据分析与知识发现, 2023, 7(12): 125-141.
Li Huafeng, Wen Yaodong. Influencing Factors of Online Health Information Sharing Based on Meta-Analysis. Data Analysis and Knowledge Discovery, 2023, 7(12): 125-141.
(China Internet Network Information Center. The 49th Statistical Report on China’s Internet Development[R/OL]. [2022-02-25]. https://www.cnnic.cn/n4/2022/0401/c88-1131.html.)
(Jiang Tingting, Yang Jiaqi, Li Qian. Establishing a Conceptual Space for the Information Behavior Domain and a Literature Review[J]. Documentation, Information & Knowledge, 2019(1): 99-108.)
(Chen Xing, Zhang Xing, Zeng Shuyun, et al. The Factors of Knowledge Sharing Intention in the Health Q & A Communities[J]. Journal of Modern Information, 2017, 37(4): 62-71.)
doi: 10.3969/j.issn.1008-0821.2017.04.010
[4]
Li C L, Li H X, Suomi R, et al. Knowledge Sharing in Online Smoking Cessation Communities: A Social Capital Perspective[J]. Internet Research, 2022, 32(7): 111-138.
doi: 10.1108/INTR-03-2020-0113
[5]
Wu X L, Kuang W B. Exploring Influence Factors of WeChat Users’ Health Information Sharing Behavior: Based on an Integrated Model of TPB, UGT and SCT[J]. International Journal of Human-Computer Interaction, 2021, 37(13): 1243-1255.
doi: 10.1080/10447318.2021.1876358
(Zhou Huiying, Hou Shengchao, Ma Jingdong. Empirical Study on Willingness of Patients to Share Data in Personal Health Records[J]. Chinese Journal of Medical Library and Information Science, 2020, 29(3): 1-10.)
(Zhang Xing, Chen Xing, Hou Delin. An Analysis of Online Health Information Disclosure Willingness Influencing Factors: An Integrated Model of TPB and Privacy Calculus[J]. Information and Documentation Services, 2016(1): 48-53.)
[8]
Lin H C, Ho W H. Cultural Effects on Use of Online Social Media for Health-Related Information Acquisition and Sharing in Taiwan[J]. International Journal of Human-Computer Interaction, 2018, 34(11): 1063-1076.
doi: 10.1080/10447318.2017.1413790
[9]
Zhang X, Liu S, Chen X, et al. Health Information Privacy Concerns, Antecedents, and Information Disclosure Intention in Online Health Communities[J]. Information & Management, 2018, 55(4): 482-493.
doi: 10.1016/j.im.2017.11.003
[10]
Zhou T. Examining Online Health Community Users’ Sharing Behaviour: A Social Influence Perspective[J]. Information Development, 2021, 38(4). DOI:10.1177/02666669211007188.
(Zhu Guang, Li Fengjing, Yan Yi. Research on Mobile Health Privacy Disclosure Behavior Under the Effect of Paradox Resolution[J]. Information Studies: Theory & Application, 2022, 45(8): 104-114.)
[12]
Glass G V. Primary, Secondary, and Meta-Analysis of Research[J]. Educational Researcher, 1976, 5(10): 3-8.
[13]
Jeyaraj A, Dwivedi Y K. Meta-Analysis in Information Systems Research: Review and Recommendations[J]. International Journal of Information Management, 2020, 55: Article No.102226.
(Yan Weiwei, Chen Ruoyu, Zhang Min. A Meta-Analysis of Factors Influencing Online Knowledge and Payment Intention[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(2): 204-212.)
(Li Xueli, Huang Linghe, Chen Jiaxing. Influencing Factors of Social Media Users’ Intentions to Disclose Privacy[J]. Data Analysis and Knowledge Discovery, 2022, 6(4): 97-107.)
[16]
Zhao J, Ha S J, Widdows R. Building Trusting Relationships in Online Health Communities[J]. Cyberpsychology, Behavior, and Social Networking, 2013, 16(9): 650-657.
doi: 10.1089/cyber.2012.0348
[17]
Oeldorf-Hirsch A, High A C, Christensen J L. Count Your Calories and Share Them: Health Benefits of Sharing mHealth Information on Social Networking Sites[J]. Health Communication, 2019, 34(10): 1130-1140.
doi: 10.1080/10410236.2018.1465791
pmid: 29683721
[18]
Lin H C, Chen Y J, Chen C C, et al. Expectations of Social Networking Site Users Who Share and Acquire Health-Related Information[J]. Computers & Electrical Engineering, 2018, 69: 808-814.
[19]
Chen J H, Lan Y C, Chang Y W, et al. Exploring Doctors’ Willingness to Provide Online Counseling Services: The Roles of Motivations and Costs[J]. International Journal of Environmental Research and Public Health, 2019, 17(1): Article No.110.
[20]
Zhu P P, Shen J, Xu M. Patients’ Willingness to Share Information in Online Patient Communities: Questionnaire Study[J]. Journal of Medical Internet Research, 2020, 22(4): Article No.e16546.
[21]
Guo C, Zhang Z, Zhou J J, et al. Seeking or Contributing? Evidence of Knowledge Sharing Behaviours in Promoting Patients’ Perceived Value of Online Health Communities[J]. Health Expectations, 2020, 23(6): 1614-1626.
doi: 10.1111/hex.v23.6
[22]
Zhang X, Liu S, Chen X, et al. Social Capital, Motivations, and Knowledge Sharing Intention in Health Q&A Communities[J]. Management Decision, 2017, 55(7): 1536-1557.
doi: 10.1108/MD-10-2016-0739
[23]
Shang L L, Zhou J J, Zuo M Y. Understanding Older Adults’ Intention to Share Health Information on Social Media: The Role of Health Belief and Information Processing[J]. Internet Research, 2020, 31(1): 100-122.
doi: 10.1108/INTR-12-2019-0512
[24]
Le L H, Hoang P A, Pham H C. Sharing Health Information Across Online Platforms: A Systematic Review[J]. Health Communication, 2023, 38(8): 1550-1562.
doi: 10.1080/10410236.2021.2019920
(Zhang Min, Ma Zhen, Nie Rui, et al. Formation Mechanism Analysis of Users’ Social Health Information Sharing Willingness from the Perspective of Second-Order Information Ecological Chain[J]. Journal of Modern Information, 2019, 39(2): 94-104.)
doi: 10.3969/j.issn.1008-0821.2019.02.011
[26]
Hong Y, Wan M, Li Z. Understanding the Health Information Sharing Behavior of Social Media Users: An Empirical Study on WeChat[J]. Journal of Organizational and End User Computing, 2021, 33(5): 180-203.
doi: 10.4018/JOEUC
[27]
Zhao J, Abrahamson K, Anderson J G, et al. Trust, Empathy, Social Identity, and Contribution of Knowledge Within Patient Online Communities[J]. Behaviour & Information Technology, 2013, 32(10): 1041-1048.
[28]
Liu Y, Zhang W. Specific Knowledge Sharing Intention in Online Health Communities: Sense of Belonging as a Moderator[C]// Proceedings of the 2020 Chinese Control and Decision Conference. IEEE, 2020: 4179-4184.
[29]
Li Z Y, Lin Z, Nie J H. How Personality and Social Capital Affect Knowledge Sharing Intention in Online Health Support Groups? : A Person-Situation Perspective[J]. International Journal of Human-Computer Interaction, 2022, 38(10): 885-896.
doi: 10.1080/10447318.2021.1976508
[30]
Zhang X, Liu S, Deng Z H, et al. Knowledge Sharing Motivations in Online Health Communities: A Comparative Study of Health Professionals and Normal Users[J]. Computers in Human Behavior, 2017, 75: 797-810.
doi: 10.1016/j.chb.2017.06.028
[31]
Maheshwari B, Sarrion M, Motiani M, et al. Exploration of Factors Affecting the Use of Web 2.0 for Knowledge Sharing Among Healthcare Professionals: An Indian Perspective[J]. Journal of Knowledge Management, 2020, 25(3): 545-558.
doi: 10.1108/JKM-02-2020-0105
[32]
Park J, Gabbard J L. Factors that Affect Scientists’ Knowledge Sharing Behavior in Health and Life Sciences Research Communities: Differences Between Explicit and Implicit Knowledge[J]. Computers in Human Behavior, 2018, 78: 326-335.
doi: 10.1016/j.chb.2017.09.017
[33]
Cai Y, Shi W D. The Influence of the Community Climate on Users’ Knowledge-Sharing Intention: The Social Cognitive Theory Perspective[J]. Behaviour & Information Technology, 2022, 41(2): 307-323.
[34]
Li Y B, Wang X Q, Lin X L, et al. Seeking and Sharing Health Information on Social Media: A Net Valence Model and Cross-Cultural Comparison[J]. Technological Forecasting and Social Change, 2018, 126: 28-40.
doi: 10.1016/j.techfore.2016.07.021
[35]
Higgins J P T, Thompson S G, Deeks J J, et al. Measuring Inconsistency in Meta-Analyses[J]. BMJ, 2003, 327(7414): 557-560.
doi: 10.1136/bmj.327.7414.557
[36]
Borenstein M, Hedges L V, Higgins J P T, et al. Introduction to Meta-Analysis[M]. New York: John Wiley & Sons, 2021.
(Wang Dandan, Liu Qinghua, Wang Xiaomei. A Meta-Analysis of Factors Influencing Scientific Data Sharing Behavior[J]. Research on Library Science, 2021(22): 74-84.)
[38]
van Aert R C M, Niemeyer H. Publication Bias[A]// O’Donohue W, Masuda A, Lilienfeld S. Avoiding Questionable Research Practices in Applied Psychology[M]. Berlin: Springer, 2022: 213-242.
[39]
Rothstein, H R, Sutton, A J, Borenstein M. Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments[M]. New York: John Wiley & Sons, 2006.
[40]
Cohen J. Statistical Power Analysis for the Behavioral Sciences[M]. London: Routledge, 2013.
[41]
Hau Y S, Kim B, Lee H, et al. The Effects of Individual Motivations and Social Capital on Employees’ Tacit and Explicit Knowledge Sharing Intentions[J]. International Journal of Information Management, 2013, 33(2): 356-366.
doi: 10.1016/j.ijinfomgt.2012.10.009
[42]
Sinapuelas I C, Ho F N. Information Exchange in Social Networks for Health Care[J]. Journal of Consumer Marketing, 2019, 36(5): 692-702.
doi: 10.1108/JCM-12-2017-2470
[43]
Chang H H, Chuang S S. Social Capital and Individual Motivations on Knowledge Sharing: Participant Involvement as a Moderator[J]. Information & Management, 2011, 48(1): 9-18.
doi: 10.1016/j.im.2010.11.001
[44]
Chiu C M, Hsu M H, Wang E T G. Understanding Knowledge Sharing in Virtual Communities: An Integration of Social Capital and Social Cognitive Theories[J]. Decision Support Systems, 2006, 42(3): 1872-1888.
doi: 10.1016/j.dss.2006.04.001
(Zhao Yuxiang. An Empirical Investigation on the Influencing Factors of Users’ Continuance Intention in Question-and-Answer SNS[J]. Library Journal, 2016, 35(9): 25-37.)
[46]
Shen A X L, Cheung C M K, Lee M K O, et al. How Social Influence Affects We-Intention to Use Instant Messaging: The Moderating Effect of Usage Experience[J]. Information Systems Frontiers, 2011, 13(2): 157-169.
doi: 10.1007/s10796-009-9193-9
(Chen Xing, Zhang Xing, Xiao Quan. Understanding Continuous Knowledge Sharing in the Online Health Communities—An Integrated Model of Social Support Theory and Commitment-Trust Theory[J]. Journal of Modern Information, 2019, 39(11): 55-68.)
doi: 10.3969/j.issn.1008-0821.2019.11.007
(Guo Wei, Lu Jiaying, Liu Linping. Healthy China in an Age of Mobility: Socioeconomic Status, Health Literacy, and Health Outcomes[J]. Population Journal, 2022, 44(2): 1-18.)
[49]
Zhao L, Detlor B, Connelly C E. Sharing Knowledge in Social Q&A Sites: The Unintended Consequences of Extrinsic Motivation[J]. Journal of Management Information Systems, 2016, 33(1): 70-100.
doi: 10.1080/07421222.2016.1172459
(Yu Mi. The Study on the Relationships Between Individualism/Collectivism Orientation and Knowledge Sharing Intention: The Moderating Effect of Affectual Knowledge[J]. Nankai Business Review, 2011, 14(6): 149-157.)
[51]
Yan Z J, Wang T M, Chen Y, et al. Knowledge Sharing in Online Health Communities: A Social Exchange Theory Perspective[J]. Information & Management, 2016, 53(5): 643-653.
doi: 10.1016/j.im.2016.02.001
[52]
Xu X T, Li H L, Shan S. Understanding the Health Behavior Decision-Making Process with Situational Theory of Problem Solving in Online Health Communities: The Effects of Health Beliefs, Message Credibility, and Communication Behaviors on Health Behavioral Intention[J]. International Journal of Environmental Research and Public Health, 2021, 18(9): Article No.4488.
[53]
Zhang M, Lin W, Ma Z, et al. Users’ Health Information Sharing Intention in Strong Ties Social Media: Context of Emerging Markets[J]. Library Hi Tech, 2023, 41(3): 853-876.
doi: 10.1108/LHT-02-2020-0024
(Cheng Huiping, Wen Xinyue, Su Chao. A Model of Factors Influencing Privacy Disclosure Intention of Social Media Users: An Empirical Study[J]. Library and Information Service, 2020, 64(16): 92-104.)
doi: 10.13266/j.issn.0252-3116.2020.16.010
(Zhang Keyong, Li He. Research on the Influencing Factors of Knowledge Sharing in Online Health Community[J]. Library and Information Service, 2017, 61(5): 109-116.)
doi: 10.13266/j.issn.0252-3116.2017.05.015
