现有的性别分数适用于德国临床研究数据的适用性:范围审查和数据映射
Lea Schindler1, Hilke Beelich1, Elpiniki Katsari2
1Medical Informatics Laboratory, University Medicine Greifswald, Walther-Rathenau-Straße 48, Greifswald, 17475, Germany, 49 03834 86 ext 8370.
JMIR medical informatics
|January 8, 2026
概括
德国医院的性别数据收集标准化对于准确的健康研究至关重要. 本研究建议扩大医疗信息化倡议核心数据集,包括与性别相关的重要变量,以便更好地分析.
科学领域:
- 医疗信息学 医疗信息学
- 医学研究 医学研究
- 性别研究是性别研究.
背景情况:
- 性别和性别考虑提高了研究质量和公平性.
- 在医学中准确地代表动态性别方面,仍然存在挑战.
- 目前收集性别数据的方法对于临床研究来说是不够的.
研究的目的:
- 建立德国大学医院收集和评估特定性别数据的标准.
- 评估现有的性别分数在临床研究中的适用性.
- 建议采取可行的步骤,将性别数据纳入常规临床实践.
主要方法:
- 对22篇关于性别评分的出版物的系统审查.
- 对德国临床数据的性别评分适用性评估 (医学信息学倡议核心数据集 - MII CDS).
- 对现有的性别相关变量进行MII CDS的评估.
主要成果:
- 没有标准化,验证的性别分数存在于健康研究.
- 现有的性别分数主要用于流行病学研究,不易适用于临床数据.
- 虽然MII CDS缺乏全面性别评分所需的关键变量,但在常规临床实践中存在一些数据.
结论:
- 更新和扩展MII CDS与性别相关信息是必要的临床数据的回顾性分析.
- 提供了建议和具体步骤,以机器可读的格式捕获和表示性别数据.
- 实施这些变化将改善性别特定的健康研究能力.
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