Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.
Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia.
JAMA Netw Open. 2024 Oct 1;7(10):e2438550. doi: 10.1001/jamanetworkopen.2024.38550.
Stigmatizing language in electronic health records (EHRs) can generate or reinforce negative stereotypes about patients from minoritized groups and erode their trust and experience. However, less is known about the use of such language to cast doubt on patient clinical history in hospital settings.
To compare the prevalence of language expressing doubt about patient clinical history (eg, experiences and symptoms) in hospital admission notes by patient race and ethnicity.
DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, natural language processing tools were applied to analyze 54 936 admission notes from 1249 clinicians about patients aged 18 years or older at admission and hospitalized at an academic health system in the Northeast US between January 1, 2018, and February 28, 2023. Data were analyzed from September 1, 2022, to July 31, 2023.
Patient race and ethnicity (non-Hispanic Black, non-Hispanic White, and racial and ethnic minoritized groups excluding non-Hispanic Black [includes multiple racial and ethnic groups, such as Hispanic and Asian]) as recorded in the EHR based on self-report or registrar determination.
Binary indicator for at least 1 term casting doubt on patient clinical history was defined using epistemic stance, a linguistic construct expressing a writer's degree of certainty in information. Terms were manually validated via iterative review of notes by the study team.
Among 56 325 admission notes (mean [SD] age of patients, 55.9 [19.0] years; 30 913 notes among female patients [54.9%]; 25 649 notes among non-Hispanic Black patients [45.5%], 26 442 notes among non-Hispanic White patients [46.9%], and 2985 notes among members of racial and ethnic minoritized groups excluding non-Hispanic Black patients [5.3%]), we analyzed 54 936 admission notes that had no missing data. Among all analyzed admission notes, 39 023 notes (71.0%) contained doubt language. Notes written about non-Hispanic Black patients had increased odds of containing at least 1 word or phrase of doubt (adjusted odds ratio, 1.21; 95% CI, 1.14-1.28; P < .001) compared with notes among non-Hispanic White patients. Compared with notes among non-Hispanic White patients, notes written about members of racial and ethnic minoritized groups excluding non-Hispanic Black patients had similar odds of containing at least 1 term of doubt.
In this study, language casting doubt on patient clinical history was more likely to be found in notes of non-Hispanic Black patients. These results suggest that with the implementation of policies allowing patients full access to their health records, examining clinical documentation standards may be associated with improved patient experience.
电子健康记录(EHR)中的污名化语言可能会对少数群体患者产生或强化负面刻板印象,并破坏他们的信任和体验。然而,关于在医院环境中使用这种语言来质疑患者临床病史的情况,人们了解得较少。
比较基于患者种族和民族,在入院记录中表达对患者临床病史(例如,经历和症状)质疑的语言的出现率。
设计、设置和参与者:在这项队列研究中,自然语言处理工具被应用于分析 2018 年 1 月 1 日至 2023 年 2 月 28 日期间在美国东北部一家学术健康系统住院的年龄在 18 岁或以上的 1249 名临床医生记录的 54936 份入院记录。数据于 2022 年 9 月 1 日至 2023 年 7 月 31 日进行分析。
患者种族和民族(非西班牙裔黑人、非西班牙裔白人以及除非西班牙裔黑人之外的种族和民族少数群体[包括多种种族和民族,如西班牙裔和亚裔])根据自我报告或登记员确定记录在 EHR 中。
使用认识立场定义了至少有 1 个质疑患者临床病史的术语的二进制指标,这是一种表达作者对信息确定性程度的语言结构。通过研究小组对记录的反复审查,对术语进行了手动验证。
在 56325 份入院记录(患者平均[SD]年龄,55.9[19.0]岁;30913 份女性患者记录[54.9%];25649 份非西班牙裔黑人患者记录[45.5%],26442 份非西班牙裔白人患者记录[46.9%]和 2985 份除非西班牙裔黑人之外的种族和民族少数群体成员患者记录[5.3%])中,我们分析了 54936 份没有缺失数据的入院记录。在所有分析的入院记录中,有 39023 份(71.0%)包含怀疑语言。与非西班牙裔白人患者的记录相比,非西班牙裔黑人患者的记录更有可能包含至少 1 个表示怀疑的单词或短语(调整后的优势比,1.21;95%CI,1.14-1.28;P<0.001)。与非西班牙裔白人患者的记录相比,记录中非西班牙裔黑人之外的种族和民族少数群体成员的记录包含至少 1 个表示怀疑的术语的可能性相似。
在这项研究中,非西班牙裔黑人患者的记录中更有可能出现质疑患者临床病史的语言。这些结果表明,随着允许患者全面访问其健康记录的政策的实施,检查临床文档标准可能与改善患者体验有关。