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超越二元性:推进美国国家提供者标识符系统中促进健康公平的性别包容性数据政策。

Beyond the Binary: Advancing Gender-Inclusive Data Policy for Health Equity in the US National Provider Identifier System.

作者信息

Jacobs Jeremy W, Khan Shazia S, Stephens Laura D, Booth Garrett S

机构信息

Department of Pathology, Microbiology, & Immunology, Vanderbilt University, Nashville, Tennessee, USA.

Departments of Pathology and Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

出版信息

Health Equity. 2025 Jun 12;9(1):339-342. doi: 10.1089/heq.2025.0059. eCollection 2025.

DOI:10.1089/heq.2025.0059
PMID:40672983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12266944/
Abstract

Achieving health equity requires data systems that recognize and reflect provider diversity. The National Provider Identifier (NPI) system underpins United States health care administration, yet its gender data standards remain outdated, conflating sex and gender and lacking inclusive options. These deficiencies undermine research, equity initiatives, and the visibility of transgender and nonbinary providers. In an era of growing political hostility to diversity, administrative neutrality is insufficient. The National Plan and Provider Enumeration System must establish itself as a model of gender-inclusive policy by separating sex and gender variables, expanding identity categories, and implementing transparent, regularly updated standards grounded in science.

摘要

实现健康公平需要能够识别并反映医疗服务提供者多样性的数据系统。国家医疗服务提供者识别码(NPI)系统是美国医疗管理的基础,但其性别数据标准仍然过时,混淆了生理性别和社会性别,且缺乏包容性选项。这些缺陷损害了研究、公平倡议以及跨性别和非二元性别医疗服务提供者的能见度。在一个对多样性的政治敌意日益增长的时代,行政中立是不够的。国家计划和医疗服务提供者枚举系统必须通过区分生理性别和社会性别变量、扩大身份类别以及实施基于科学的透明且定期更新的标准,将自身打造成为性别包容性政策的典范。

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本文引用的文献

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Patient Preferences and Perceptions Regarding Their Gender-Affirming Plastic Surgeon.患者对其性别确认整形医生的偏好和认知。
Transgend Health. 2025 Jun 5;10(3):287-296. doi: 10.1089/trgh.2023.0084. eCollection 2025 Jun.
2
Early Adoption of Expanded Gender Options in National Provider Identifiers.国家提供者标识符中早期采用扩展性别选项
JAMA. 2024 Dec 3;332(21):1849-1850. doi: 10.1001/jama.2024.18571.
3
SOGI Data Collection - Proceeding, but with Caution.性取向和性别认同数据收集——正在进行,但需谨慎。
N Engl J Med. 2024 Aug 15;391(7):580-581. doi: 10.1056/NEJMp2402139. Epub 2024 Aug 10.
4
Measuring sex, gender, and sexual orientation: one step to health equity.衡量性别、性取向:迈向健康公平的一步。
Lancet. 2022 Sep 3;400(10354):715-717. doi: 10.1016/S0140-6736(22)01425-8. Epub 2022 Jul 28.
5
Assessment of the Use of Sex and Gender Terminology in US Federal, State, and Local Databases.评估美国联邦、州和地方数据库中使用的性别术语。
JAMA Intern Med. 2022 Aug 1;182(8):878-879. doi: 10.1001/jamainternmed.2022.2026.
6
Reporting Sex, Gender, or Both in Clinical Research?在临床研究中报告性别、社会性别还是两者都报告?
JAMA. 2016 Nov 8;316(18):1863-1864. doi: 10.1001/jama.2016.16405.
7
The conflation of gender and sex: Gaps and opportunities in HIV data among transgender women and MSM.性别与性别的混淆:跨性别女性和男男性行为者中艾滋病毒数据的差距与机遇。
Glob Public Health. 2016 Aug-Sep;11(7-8):835-48. doi: 10.1080/17441692.2015.1134615. Epub 2016 Jan 20.