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      Users’ Willingness to Share Health Information in a Social Question-and-Answer Community: Cross-sectional Survey in China

      research-article
      , MS 1 , 2 , , MS 1 , 2 , , MS 1 , 3 , , MS 1 , 2 , , MD 1 , 2 ,
      (Reviewer), (Reviewer), (Reviewer)
      JMIR Medical Informatics
      JMIR Publications
      health information, willingness to share information, , structural equation model, Zhihu

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          Abstract

          Background

          Social question-and-answer communities play an increasingly important role in the dissemination of health information. It is important to identify influencing factors of user willingness to share health information to improve public health literacy.

          Objective

          This study explored influencing factors of social question-and-answer community users who share health information to provide reference for the construction of a high-quality health information sharing community.

          Methods

          A cross-sectional study was conducted through snowball sampling of 185 participants who are Zhihu users in China. A structural equation analysis was used to verify the interaction and influence of the strength between variables in the model. Hierarchical regression was also used to test the mediating effect in the model.

          Results

          Altruism (β=.264, P<.001), intrinsic reward (β=.260, P=.03), self-efficacy (β=.468, P<.001), and community influence (β=.277, P=.003) had a positive effect on users’ willingness to share health information (WSHI). By contrast, extrinsic reward (β=−0.351, P<.001) had a negative effect. Self-efficacy also had a mediating effect (β=.147, 29.15%, 0.147/0.505) between community influence and WSHI.

          Conclusions

          The findings suggest that users’ WSHI is influenced by many factors including altruism, self-efficacy, community influence, and intrinsic reward. Improving the social atmosphere of the platform is an effective method of encouraging users to share health information.

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          Most cited references41

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Social cognitive theory: an agentic perspective.

            The capacity to exercise control over the nature and quality of one's life is the essence of humanness. Human agency is characterized by a number of core features that operate through phenomenal and functional consciousness. These include the temporal extension of agency through intentionality and forethought, self-regulation by self-reactive influence, and self-reflectiveness about one's capabilities, quality of functioning, and the meaning and purpose of one's life pursuits. Personal agency operates within a broad network of sociostructural influences. In these agentic transactions, people are producers as well as products of social systems. Social cognitive theory distinguishes among three modes of agency: direct personal agency, proxy agency that relies on others to act on one's behest to secure desired outcomes, and collective agency exercised through socially coordinative and interdependent effort. Growing transnational embeddedness and interdependence are placing a premium on collective efficacy to exercise control over personal destinies and national life.
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                Author and article information

                Contributors
                Journal
                JMIR Med Inform
                JMIR Med Inform
                JMI
                JMIR Medical Informatics
                JMIR Publications (Toronto, Canada )
                2291-9694
                March 2021
                30 March 2021
                : 9
                : 3
                : e26265
                Affiliations
                [1 ] College of Medical Informatics Chongqing Medical University Chongqing China
                [2 ] Medical Data Science Academy Chongqing Medical University Chongqing China
                [3 ] The Children’s Hospital of Chongqing Medical University Chongqing China
                Author notes
                Corresponding Author: Cheng Huang huangcheng@ 123456cqmu.edu.cn
                Author information
                https://orcid.org/0000-0001-9935-616X
                https://orcid.org/0000-0002-2678-0493
                https://orcid.org/0000-0002-1353-906X
                https://orcid.org/0000-0001-6416-2445
                https://orcid.org/0000-0001-7937-7166
                Article
                v9i3e26265
                10.2196/26265
                8075348
                33783364
                f3ee0280-8633-45ae-b1d9-06dd6b70a442
                ©PengFei Li, Lin Xu, TingTing Tang, Xiaoqian Wu, Cheng Huang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 30.03.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.

                History
                : 4 December 2020
                : 16 January 2021
                : 10 February 2021
                : 7 March 2021
                Categories
                Original Paper
                Original Paper

                health information,willingness to share information,structural equation model,zhihu

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