数据分解：以亚太裔数据为例，以及健康科学图书馆员的作用。
Data disaggregation: the case of Asian and Pacific Islander data and the role of health sciences librarians.
出版信息
J Med Libr Assoc. 2022 Jan 1;110(1):133-138. doi: 10.5195/jmla.2022.1372.
Abstract
Health disparities within Asian and Pacific Islander (API) communities are often masked due to aggregated data. Lack of adequate data limits required health care services for these communities. While moving forward toward health equity, it is critical that disparities for API communities are acknowledged and addressed. This article focuses on the issues of aggregated data for API communities followed by suggestions on how health sciences librarians can support and promote better practices for data disaggregation.
摘要
亚太裔（API）社区内的健康差距往往因数据汇总而被掩盖。缺乏足够的数据限制了这些社区所需的医疗保健服务。在朝着健康公平迈进的过程中，承认和解决 API 社区的差异至关重要。本文重点介绍了 API 社区汇总数据的问题，随后提出了卫生科学图书馆员如何支持和促进更好的数据分解实践的建议。
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