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规范医院信息系统中的种族、族裔和首选语言数据收集:对医疗服务提供和政策的影响及结果

Standardizing race, ethnicity, and preferred language data collection in hospital information systems: results and implications for healthcare delivery and policy.

作者信息

Bhalla Rohit, Yongue Brandon G, Currie Brian P

机构信息

Montefiore Medical Center, Bronx, NY, USA.

出版信息

J Healthc Qual. 2012 Mar-Apr;34(2):44-52. doi: 10.1111/j.1945-1474.2011.00180.x.

DOI:10.1111/j.1945-1474.2011.00180.x
PMID:23552201
Abstract

The Institute of Medicine has identified the need for healthcare organizations to collect standardized demographic data as a step toward reducing healthcare disparities. This observational study of patients discharged from a large academic medical center between 2005 and 2009, evaluates an organizational effort to standardize demographic data collection, characterizes limitations of the implementation, and assesses its utility in quality improvement and disparity reduction efforts. Primary measures include percentages of inpatient discharges with unknown race, ethnicity, and language data. Secondary measures include "ideal" cardiovascular care and readmission rates. From 2005 to 2009, the proportion of discharges with unknown race, ethnicity, or preferred language data decreased significantly. Among discharges with known ethnicity in 2009, Hispanic/Latino patients were significantly more likely to decline to specify their race or designate their race as a "Multiracial: Other Combination." No significant differences in ideal cardiovascular care were observed across demographic groups. Differences in readmission rates were observed among some groups. A provider organization can effectively standardize demographic data collection practices for use in quality improvement efforts. Current federal race categories are of limited utility for persons of Hispanic/Latino ethnicity, and performance measurement approaches that exclude demographic variables may fail to address healthcare disparities.

摘要

美国医学研究所已确定医疗保健机构需要收集标准化的人口统计学数据,以此作为减少医疗保健差距的一个步骤。这项针对2005年至2009年间从一家大型学术医疗中心出院的患者的观察性研究,评估了一项使人口统计学数据收集标准化的组织工作,描述了实施过程中的局限性,并评估了其在质量改进和减少差距工作中的效用。主要指标包括种族、族裔和语言数据未知的住院患者出院百分比。次要指标包括“理想的”心血管护理和再入院率。从2005年到2009年,种族、族裔或首选语言数据未知的出院患者比例显著下降。在2009年已知族裔的出院患者中,西班牙裔/拉丁裔患者明显更有可能拒绝指明自己的种族或将自己的种族指定为“多种族:其他组合”。不同人口群体在理想心血管护理方面未观察到显著差异。在一些群体中观察到了再入院率的差异。一个医疗机构可以有效地使人口统计学数据收集做法标准化,以用于质量改进工作。当前的联邦种族类别对西班牙裔/拉丁裔族裔的人效用有限,而排除人口统计学变量的绩效衡量方法可能无法解决医疗保健差距问题。

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