Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review.

Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review.
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DOI:
10.3389/fpubh.2021.641424
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发表时间:
2021
影响因子:
5.2
通讯作者:
Durrant AC
Durrant AC
中科院分区:
医学3区
文献类型:
--
作者:
Simpson E;Brown R;Sillence E;Coventry L;Lloyd K;Gibbs J;Tariq S;Durrant AC

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使用数字技术共享患者生成的健康数据有可能改善对多种长期健康状况的自我管理。共享这些数据可以让患者从医疗专业人员和同行社区获得额外的支持,并增强他们对自己健康的了解。在考虑是否通过数字技术共享健康数据时,更深入地了解长期健康状况患者提出的关切,可能有助于促进未来有效的数据共享做法。这项审查的目的是确定信任、身份、隐私和安全方面的担忧是否对长期健康状况下的患者使用数字技术成功共享患者生成的数据构成障碍。我们还解决了耻辱对与他人共享健康数据的担忧的影响。2019年12月对CINAHL、心理信息和知识网进行了搜索,2020年10月再次进行了搜索,产生了2581个结果。经过反复审查,最终形成了23篇经同行审查的文章的数据集。对选定文章的彻底分析发现,围绕信任、身份、隐私和安全的问题显然对跨多个共享环境共享患者生成的数据构成了障碍。成文污名的存在也是在多个环境中分享的障碍。我们发现,大多数文献集中在临床环境中,相对较少关注与第三方分享。最后,我们建议需要更多以解决方案为基础的研究,以克服所讨论的分享障碍。
Using digital technology to share patient-generated health data has the potential to improve the self-management of multiple long-term health conditions. Sharing these data can allow patients to receive additional support from healthcare professionals and peer communities, as well as enhance their understanding of their own health. A deeper understanding of the concerns raised by those living with long-term health conditions when considering whether to share health data via digital technology may help to facilitate effective data sharing practices in the future. The aim of this review is to identify whether trust, identity, privacy and security concerns present barriers to the successful sharing of patient-generated data using digital technology by those living with long-term health conditions. We also address the impact of stigma on concerns surrounding sharing health data with others. Searches of CINAHL, PsychInfo and Web of Knowledge were conducted in December 2019 and again in October 2020 producing 2,581 results. An iterative review process resulted in a final dataset of 23 peer-reviewed articles. A thorough analysis of the selected articles found that issues surrounding trust, identity, privacy and security clearly present barriers to the sharing of patient-generated data across multiple sharing contexts. The presence of enacted stigma also acts as a barrier to sharing across multiple settings. We found that the majority of literature focuses on clinical settings with relatively little attention being given to sharing with third parties. Finally, we suggest the need for more solution-based research to overcome the discussed barriers to sharing.
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