Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
BMC Health Serv Res. 2010 Nov 23;10:316. doi: 10.1186/1472-6963-10-316.
To understand racial and ethnic disparities in health care utilization and their potential underlying causes, valid information on race and ethnicity is necessary. However, the validity of pediatric race and ethnicity information in administrative records from large integrated health care systems using electronic medical records is largely unknown.
Information on race and ethnicity of 325,810 children born between 1998-2008 was extracted from health plan administrative records and compared to birth certificate records. Positive predictive values (PPV) were calculated for correct classification of race and ethnicity in administrative records compared to birth certificate records.
Misclassification of ethnicity and race in administrative records occurred in 23.1% and 33.6% children, respectively; the majority due to missing ethnicity (48.3%) and race (40.9%) information. Misclassification was most common in children of minority groups. PPV for White, Black, Asian/Pacific Islander, American Indian/Alaskan Native, multiple and other was 89.3%, 86.6%, 73.8%, 18.2%, 51.8% and 1.2%, respectively. PPV for Hispanic ethnicity was 95.6%. Racial and ethnic information improved with increasing number of medical visits. Subgroup analyses comparing racial classification between non-Hispanics and Hispanics showed White, Black and Asian race was more accurate among non-Hispanics than Hispanics.
In children, race and ethnicity information from administrative records has significant limitations in accurately identifying small minority groups. These results suggest that the quality of racial information obtained from administrative records may benefit from additional supplementation by birth certificate data.
为了了解医疗保健利用方面的种族和民族差异及其潜在的根本原因,需要有关于种族和民族的有效信息。然而,在使用电子病历的大型综合性医疗保健系统的管理记录中,儿科种族和民族信息的有效性在很大程度上是未知的。
从健康计划管理记录中提取了 1998-2008 年间出生的 325810 名儿童的种族和民族信息,并与出生证明记录进行了比较。计算了管理记录中种族和民族分类的正确分类与出生证明记录的阳性预测值(PPV)。
管理记录中种族和民族的分类错误分别发生在 23.1%和 33.6%的儿童中,主要原因是缺少民族(48.3%)和种族(40.9%)信息。分类错误在少数族裔儿童中最为常见。白人、黑人、亚裔/太平洋岛民、美国印第安人/阿拉斯加原住民、多种族和其他种族的 PPV 分别为 89.3%、86.6%、73.8%、18.2%、51.8%和 1.2%。西班牙裔的 PPV 为 95.6%。种族和民族信息随着就诊次数的增加而有所改善。对非西班牙裔和西班牙裔之间的种族分类进行的亚组分析表明,在非西班牙裔人群中,白人、黑人、亚裔种族的分类比西班牙裔更为准确。
在儿童中,管理记录中的种族和民族信息在准确识别小少数族裔方面存在显著局限性。这些结果表明,从管理记录中获得的种族信息的质量可能受益于通过出生证明数据的额外补充。