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电子健康记录中种族、族裔和语言偏好的准确性。

Accuracy of race, ethnicity, and language preference in an electronic health record.

作者信息

Klinger Elissa V, Carlini Sara V, Gonzalez Irina, Hubert Stella St, Linder Jeffrey A, Rigotti Nancy A, Kontos Emily Z, Park Elyse R, Marinacci Lucas X, Haas Jennifer S

机构信息

Division of General Medicine and Primary Care, Brigham and Women's Hospital, 1620 Tremont Street, Boston, MA, 02120, USA.

出版信息

J Gen Intern Med. 2015 Jun;30(6):719-23. doi: 10.1007/s11606-014-3102-8. Epub 2014 Dec 20.

DOI:10.1007/s11606-014-3102-8
PMID:25527336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4441665/
Abstract

BACKGROUND

Collection of data on race, ethnicity, and language preference is required as part of the "meaningful use" of electronic health records (EHRs). These data serve as a foundation for interventions to reduce health disparities.

OBJECTIVE

Our aim was to compare the accuracy of EHR-recorded data on race, ethnicity, and language preference to that reported directly by patients.

DESIGN/SUBJECTS/MAIN MEASURES: Data collected as part of a tobacco cessation intervention for minority and low-income smokers across a network of 13 primary care clinics (n = 569).

KEY RESULTS

Patients were more likely to self-report Hispanic ethnicity (19.6 % vs. 16.6 %, p < 0.001) and African American race (27.0 % vs. 20.4 %, p < 0.001) than was reported in the EHR. Conversely, patients were less likely to complete the survey in Spanish than the language preference noted in the EHR suggested (5.1 % vs. 6.3 %, p < 0.001). Thirty percent of whites self-reported identification with at least one other racial or ethnic group, as did 37.0 % of Hispanics, and 41.0 % of African Americans. Over one-third of EHR-documented Spanish speakers elected to take the survey in English. One-fifth of individuals who took the survey in Spanish were recorded in the EHR as English-speaking.

CONCLUSION

We demonstrate important inaccuracies and the need for better processes to document race/ ethnicity and language preference in EHRs.

摘要

背景

收集种族、族裔和语言偏好数据是电子健康记录(EHR)“有意义使用”的一部分要求。这些数据是减少健康差距干预措施的基础。

目的

我们的目的是比较电子健康记录中记录的种族、族裔和语言偏好数据与患者直接报告的数据的准确性。

设计/研究对象/主要测量指标:作为对13家初级保健诊所网络中的少数族裔和低收入吸烟者进行戒烟干预的一部分收集的数据(n = 569)。

主要结果

与电子健康记录中的报告相比,患者更有可能自我报告西班牙裔族裔(19.6%对16.6%,p < 0.001)和非裔美国人种族(27.0%对20.4%,p < 0.001)。相反,与电子健康记录中记录的语言偏好相比,患者用西班牙语完成调查的可能性更小(5.1%对6.3%,p < 0.001)。30%的白人自我报告认同至少一个其他种族或族裔群体,37.0%的西班牙裔和41.0%的非裔美国人也是如此。超过三分之一的电子健康记录中记录为说西班牙语的人选择用英语进行调查。五分之一用西班牙语进行调查的人在电子健康记录中被记录为说英语。

结论

我们证明了电子健康记录中记录种族/族裔和语言偏好存在重要不准确之处,并且需要更好的流程。

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