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在医疗保健机构之间自动共享种族,种族和语言数据的社区舒适性:跨部门研究

Noah Brazer¹, Baylah Tessier-Sherman¹, Deron Galusha¹

¹Department of Internal Medicine, Yale School of Medicine, 100 Church Street South, Suite A200, New Haven, CT, 06519, United States, +1 (203) 785-5233.

Interactive journal of medical research

|October 6, 2025

概括

大多数成年人在医疗保健中自动共享种族,种族和语言 (REL) 数据. 然而,随意度因种族/族裔身份,自我评估的健康状况和对提供者的信任而有所不同.

科学领域:

医疗信息学医疗信息学
健康公平卫生公平
公共卫生政策公共卫生政策

背景情况:

患者对在医疗保健中自动共享种族,种族和语言 (REL) 数据的态度基本上是未知的.
医疗机构普遍共享患者数据,但REL数据共享协议和患者舒适度仍未得到充分研究.

研究的目的:

评估公众对披露和在医疗保健机构内自动共享REL数据的舒适性.
确定影响患者对REL数据共享态度的社会因素.

主要方法:

利用了2022年DataHaven社区福利调查,对1196名康涅狄格州成年居民进行调查.
采用后勤回归模型来分析人口/社会因素与分享REL数据的意愿之间的关联.

主要成果:

大多数参与者表示愿意自动分享种族/种族数据 (84.3%) 和REL数据 (79.2%).
与非西班牙裔/拉丁裔和白人相比,西班牙裔/拉丁裔和多种族人士对披露种族/种族数据的意愿较低.
分享REL数据的意愿较低与对医疗保健提供者的信任较低以及跨种族和族裔群体的自我评估健康状况较差有关.

结论:

患者愿意分享REL数据的意愿受到其种族和民族身份的重大影响.
对医疗保健提供者的信任和自我评估的健康状况是REL数据共享的舒适度的关键决定因素.
调查结果强调,需要采用量身定制的方法来建立信任,并确保医疗保健中的公平数据共享实践.

关键词:

铁路公司铁路公司数据自主权数据自主权分享数据的数据共享.不同的差异差异差异.民族认同民族认同民族身份民族身份医疗保健的差异和差异医疗保健司法司法正义竞争竞争竞争竞争种族,民族和语言.种族认同种族认同

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