Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
BMC Health Serv Res. 2010 Dec 31;10:352. doi: 10.1186/1472-6963-10-352.
A Massachusetts regulation implemented in 2007 has required all acute care hospitals to report patients' race, ethnicity and preferred language using standardized methodology based on self-reported information from patients. This study assessed implementation of the regulation and its impact on the use of race and ethnicity data in performance monitoring and quality improvement within hospitals.
Thematic analysis of semi-structured interviews with executives from a representative sample of 28 Massachusetts hospitals in 2009.
The number of hospitals using race, ethnicity and language data internally beyond refining interpreter services increased substantially from 11 to 21 after the regulation. Thirteen of these hospitals were utilizing patient race and ethnicity data to identify disparities in quality performance measures for a variety of clinical processes and outcomes, while 16 had developed patient services and community outreach programs based on findings from these data. Commonly reported barriers to data utilization include small numbers within categories, insufficient resources, information system requirements, and lack of direction from the state.
The responses of Massachusetts hospitals to this new state regulation indicate that requiring the collection of race, ethnicity and language data can be an effective method to promote performance monitoring and quality improvement, thereby setting the stage for federal standards and incentive programs to eliminate racial and ethnic disparities in the quality of health care.
2007 年,马萨诸塞州实施了一项规定,要求所有急症护理医院使用标准化方法报告患者的种族、民族和首选语言,这些方法基于患者的自我报告信息。本研究评估了该法规的实施情况及其对医院内绩效监测和质量改进中使用种族和民族数据的影响。
对 2009 年来自马萨诸塞州 28 家代表性医院的高管进行半结构化访谈,采用主题分析法。
自该法规实施以来,内部使用种族、民族和语言数据(不仅仅是完善口译服务)的医院数量从 11 家大幅增加到 21 家。其中 13 家医院利用患者种族和民族数据来确定各种临床过程和结果的质量绩效指标方面的差异,而 16 家医院则根据这些数据制定了患者服务和社区外展计划。常见的报告数据利用障碍包括类别内数量少、资源不足、信息系统要求以及州内缺乏指导。
马萨诸塞州医院对这项新的州法规的反应表明,要求收集种族、民族和语言数据可以成为促进绩效监测和质量改进的有效方法,从而为消除医疗保健质量方面的种族和民族差异的联邦标准和激励计划奠定基础。