Children's Mercy Kansas City, 2401 Gillham Road, Kansas City, MO, 64108, USA.
Children's Medical Center Dallas, 1935 Medical District Drive, Mailstop K4.01, Dallas, TX, 75235, USA.
J Racial Ethn Health Disparities. 2020 Oct;7(5):928-936. doi: 10.1007/s40615-020-00716-8. Epub 2020 Feb 13.
To describe how pediatric hospitals across the USA and Canada collect race/ethnicity and language preference (REaL) data and how they stratify quality and safety metrics using such data.
Pediatric hospitals from the Solutions for Patient Safety network (125 US, 6 Canadian) were surveyed between January and March 2018 on collection and use of patient/family race/ethnicity data and patient/family language preference data. The study team created the survey using a formal process including pre-testing. Responses were analyzed using descriptive statistics.
Ninety-three of 131 (71%) hospitals completed the survey (87/125 [70%] US, 6/6 [100%] Canadian). Patient race/ethnicity was collected by 95%, parent/guardian race/ethnicity was collected by 31%, and 5/6 Canadian hospitals collected neither. Minimum government race/ethnicity categories were used without modification/addition by 68% of US hospitals. Eleven hospitals (13%) offered a multiracial/multiethnic option. Most hospitals reported collecting language preferences of parent/guardian (81%) and/or patient (87%). A majority provided formal training on data collection for race/ethnicity (70%) and language preferences (70%); fewer had a written policy (41%, 51%). Few hospitals stratified hospital quality and safety measures by race/ethnicity (20% readmissions, 20% patient/family experience, 16% other) or language preference (21% readmissions, 21% patient/family experience, 8% other).
The variability of REaL data collection practices among pediatric hospitals highlights the importance of examining the validity and reliability of such data, especially when combined from multiple hospitals. Nevertheless, while improvements in data accuracy and standardization are sought, efforts to identify and eliminate disparities should be developed concurrently using existing data.
描述美国和加拿大的儿科医院如何收集种族/民族和语言偏好（REaL）数据，以及如何使用此类数据对质量和安全指标进行分层。
2018 年 1 月至 3 月，对解决方案患者安全网络（美国 125 家，加拿大 6 家）的儿科医院进行了关于收集和使用患者/家庭种族/民族数据以及患者/家庭语言偏好数据的调查。研究小组使用包括预测试在内的正式流程创建了调查。使用描述性统计方法分析了答复。
131 家医院中有 93 家（71%）完成了调查（美国 87/125 [70%]，加拿大 6/6 [100%]）。95%的医院收集了患者的种族/民族信息，31%的医院收集了家长/监护人的种族/民族信息，而 6 家加拿大医院均未收集。68%的美国医院未经修改/添加就使用了最低限度的政府种族/民族类别。11 家医院（13%）提供了多种族/多种族选择。大多数医院报告收集了家长/监护人（81%）和/或患者（87%）的语言偏好。大多数医院都为种族/民族（70%）和语言偏好（70%）的数据收集提供了正式培训；但书面政策较少（41%，51%）。很少有医院按种族/民族（20%的再入院率、20%的患者/家庭体验、16%的其他）或语言偏好（21%的再入院率、21%的患者/家庭体验、8%的其他）对医院质量和安全措施进行分层。
儿科医院在 REaL 数据收集实践方面的差异突出表明，需要检查此类数据的有效性和可靠性，尤其是在从多家医院收集数据时。然而，在寻求提高数据准确性和标准化的同时，还应利用现有数据，同时制定识别和消除差异的措施。
