• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

信念对用户健康信息社交分享的影响:社会心理学与信息技术视角

The Impact of Beliefs on Health Information Social Sharing for Users: The Perspectives of Social Psychology and Information Technology.

作者信息

Yao Ruiqi, Sheng Dongfang

机构信息

School of Management, Shandong University, Jinan, China.

出版信息

Front Psychol. 2022 May 4;13:891126. doi: 10.3389/fpsyg.2022.891126. eCollection 2022.

DOI:10.3389/fpsyg.2022.891126
PMID:35602735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9114746/
Abstract

With the integration and penetration of digitization into healthcare services, the comprehensive health industrial market is developing flourishingly. Users are fast-changing the way of health communication. This study investigates psychosocial and technological factors on health information sharing adoption through social sharing services. Based on the unified theory of acceptance and use of technology, social influence theory, and innovation diffusion theory, we developed a hypothesized model for health information social sharing adoption (HISSA), and dimensions of attitude beliefs, control beliefs, and normative beliefs were created. We conducted an empirical study on the adoption intention using a survey for data collection. The results were obtained from 375 valid questionnaires, and their interactions were tested and analyzed using PLS-structural equation modeling. Results implied that (1) social identity of normative beliefs was the most critical variable affecting behavioral intention, which revealed the importance of psychosocial factors; (2) behavioral intention was also determined by user's performance expectancy, facilitating conditions, subjective norm; (3) personal innovativeness had a negative effect on behavioral intention and positive effect on effort expectancy; and (4) effort expectancy and social identity had a positive effect on performance expectancy. This study advances the understanding of social sharing for health and provides references for the development of both virtual health communities and social sharing services to upgrade their products from user's behavior and psychology. This empirical research model may also be useful for researchers who are interested in user's health information behavior.

摘要

随着数字化在医疗服务中的融合与渗透,综合健康产业市场蓬勃发展。用户正在迅速改变健康信息交流的方式。本研究调查了通过社交分享服务采用健康信息分享的心理社会因素和技术因素。基于技术接受与使用统一理论、社会影响理论和创新扩散理论,我们构建了一个健康信息社交分享采用(HISSA)的假设模型,并创建了态度信念、控制信念和规范信念维度。我们通过调查收集数据,对采用意愿进行了实证研究。结果来自375份有效问卷,并使用偏最小二乘结构方程模型对其交互作用进行了测试和分析。结果表明:(1)规范信念的社会认同是影响行为意愿的最关键变量,这揭示了心理社会因素的重要性;(2)行为意愿还由用户的绩效期望、便利条件、主观规范决定;(3)个人创新性对行为意愿有负面影响,对努力期望有正面影响;(4)努力期望和社会认同对绩效期望有正面影响。本研究增进了对健康社交分享的理解,并为虚拟健康社区和社交分享服务的发展提供参考,以便从用户行为和心理角度升级其产品。这一实证研究模型可能对关注用户健康信息行为的研究人员也有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/3ab61dc99983/fpsyg-13-891126-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/e17c4a2d98c1/fpsyg-13-891126-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/25ddc2b95464/fpsyg-13-891126-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/3ab61dc99983/fpsyg-13-891126-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/e17c4a2d98c1/fpsyg-13-891126-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/25ddc2b95464/fpsyg-13-891126-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1e/9114746/3ab61dc99983/fpsyg-13-891126-g0003.jpg

相似文献

1
The Impact of Beliefs on Health Information Social Sharing for Users: The Perspectives of Social Psychology and Information Technology.信念对用户健康信息社交分享的影响:社会心理学与信息技术视角
Front Psychol. 2022 May 4;13:891126. doi: 10.3389/fpsyg.2022.891126. eCollection 2022.
2
The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.统一科技接受与使用理论在内部控制健康源与移动医疗采纳关系中的中介作用:横断面研究。
J Med Internet Res. 2021 Dec 29;23(12):e28086. doi: 10.2196/28086.
3
Healthcare providers' acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model.在资源匮乏环境下,医疗保健提供者对远程医疗的接受程度和对模式的偏好:UTAUT 模型的扩展。
PLoS One. 2021 Apr 22;16(4):e0250220. doi: 10.1371/journal.pone.0250220. eCollection 2021.
4
Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.理解影响老年人采用移动健康技术的因素:技术接受与使用统一理论模型的扩展
Int J Med Inform. 2017 May;101:75-84. doi: 10.1016/j.ijmedinf.2017.02.002. Epub 2017 Feb 10.
5
Factors Affecting User's Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis.影响用户使用手机传递认知行为疗法治疗失眠的行为意向和使用的因素:小规模 UTAUT 分析。
J Med Syst. 2021 Nov 12;45(12):110. doi: 10.1007/s10916-021-01785-w.
6
Factors affecting the adoption of healthcare information technology.影响医疗信息技术采用的因素。
EXCLI J. 2013 May 13;12:413-36. eCollection 2013.
7
The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF.韩国智能家居保健服务的接受行为:UTAUT 和 TTF 的综合模型。
Int J Environ Res Public Health. 2022 Oct 14;19(20):13279. doi: 10.3390/ijerph192013279.
8
Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants.UTAUT2模型在确定人工智能虚拟助手使用行为意向因素方面的应用与拓展
Front Psychol. 2022 Oct 18;13:993935. doi: 10.3389/fpsyg.2022.993935. eCollection 2022.
9
Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.基于扩展的技术接受与使用统一理论模型探讨影响患者使用糖尿病管理应用程序意愿的因素:网络调查
J Med Internet Res. 2019 Aug 13;21(8):e15023. doi: 10.2196/15023.
10
Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model.理解健康专业人员使用电子健康记录系统意愿的预测因素:扩展和应用 UTAUT3 模型。
BMC Health Serv Res. 2024 Aug 3;24(1):889. doi: 10.1186/s12913-024-11378-1.

本文引用的文献

1
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts.用于冠状病毒(COVID-19)大流行的人工智能(AI)与大数据:技术现状综述
IEEE Access. 2020 Jul 15;8:130820-130839. doi: 10.1109/ACCESS.2020.3009328. eCollection 2020.
2
WeChatting for Health: What Motivates Older Adult Engagement with Health Information.微信促进健康:是什么促使老年人参与健康信息活动。
Healthcare (Basel). 2021 Jun 18;9(6):751. doi: 10.3390/healthcare9060751.
3
A Study on Supply-Demand Satisfaction of Community-Based Senior Care Combined with the Psychological Perception of the Elderly.
基于社区的老年护理供需满意度与老年人心理认知的研究
Healthcare (Basel). 2021 May 29;9(6):643. doi: 10.3390/healthcare9060643.
4
Sharing of Verified Information about COVID-19 on Social Network Sites: A Social Exchange Theory Perspective.社交网站上 COVID-19 验证信息的共享:社会交换理论视角。
Int J Environ Res Public Health. 2021 Jan 31;18(3):1260. doi: 10.3390/ijerph18031260.
5
The Role of Personal Values in Forming Students' Entrepreneurial Intentions in Developing Countries.个人价值观在发展中国家学生创业意向形成中的作用
Front Psychol. 2020 Nov 19;11:525844. doi: 10.3389/fpsyg.2020.525844. eCollection 2020.
6
Ready, Willing and Able? An Investigation of the Theory of Planned Behaviour in Help-Seeking for a Community Sample with Current Untreated Depressive Symptoms.有意愿、有能力且准备好求助了吗?对有当前未治疗抑郁症状的社区样本寻求帮助行为的计划行为理论的一项调查。
Prev Sci. 2020 Aug;21(6):749-760. doi: 10.1007/s11121-020-01099-2.
7
What Drives Patients Affected by Depression to Share in Online Depression Communities? A Social Capital Perspective.是什么驱使抑郁症患者在在线抑郁症社区中分享?一种社会资本视角。
Healthcare (Basel). 2019 Nov 4;7(4):133. doi: 10.3390/healthcare7040133.
8
Diffusion, convergence and influence of pharmaceutical innovations: a comparative study of Chinese and U.S. patents.医药创新的扩散、趋同和影响:中美专利的比较研究。
Global Health. 2018 Aug 30;14(1):92. doi: 10.1186/s12992-018-0408-z.
9
Sharing health information online in South Korea: motives, topics, and antecedents.韩国的在线健康信息分享:动机、话题及影响因素
Health Promot Int. 2019 Apr 1;34(2):182-192. doi: 10.1093/heapro/dax074.
10
Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: a case study in a primary care clinic.运用创新扩散理论理解影响患者对消费者电子健康创新的接受和使用的因素:一项初级保健诊所的案例研究
BMC Health Serv Res. 2015 Feb 21;15:71. doi: 10.1186/s12913-015-0726-2.