在电子健康记录和出生结果中对污名化语言的记录
Jihye Kim Scroggins1, Ismael Ibrahim Hulchafo2, Sarah Harkins2
1School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
电子健康记录中的污名化语言与不良分娩结果有关,包括较高的低风险剖腹产和产后出血率. 解决偏见的语言对于改善围产期健康公平至关重要.
科学领域:
- 围产期健康 围产期健康
- 医疗信息学 医疗信息学
- 健康 公平 卫生 公平
背景情况:
- 在医疗保健环境中污名化语言反映了潜在的偏见.
- 了解这种语言的影响对于提高围产期健康结果和促进健康平等至关重要.
研究的目的:
- 调查电子健康记录 (EHR) 中使用的污名化语言与各种出生结果之间的联系.
- 识别特定类别的污名化语言及其与周产期不良事件的相关性.
主要方法:
- 分析了2017年至2019年期间为分娩入院的18897名患者的EHR数据.
- 利用自然语言处理来识别污名化的语言 (例如,边缘化身份,困难的患者,独裁决策).
- 检查了与低风险剖腹产,产后出血和胸膜炎的关联.
主要成果:
- 在EHR中的任何污名化语言都与低风险剖腹产 (aOR=1.36),产后出血 (aOR=1.68) 和胆膜炎 (aOR=1.23) 的几率增加有关.
- "困难患者"和"单方面/权威性决定"等特定类别显示出与不良结果的显著关联,包括剖腹产和产后出血的更高几率.
结论:
- 在临床笔记中记录的耻辱语言与负面的出生结果有显著的关联.
- 调查结果强调了在电子健康文件中解决偏见语言的必要性,并实施减轻偏见的政策,以改善围产期健康.
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