Bowles Erin J Aiello, Gao Hongyuan, Fleckenstein Lynn E, Bravo Perla, Nash Michael G, Comstock Bryan, Neslund-Dudas Chris, Mou Jin, Kessler Larry G
Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.
Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.
JNCI Cancer Spectr. 2025 Apr 30;9(3). doi: 10.1093/jncics/pkaf046.
We validated updated National Health Interview Survey questions on mammography indications compared with electronic health records (EHRs). We asked 244 Kaiser Permanente Washington members ages 40-74 years and eligible for breast cancer screening to self-report their most recent mammogram reason by using a series of new hierarchical yes/no questions. We first asked if they had the mammogram because of a health problem, then as a follow-up test, and last for screening. We compared self-reported reasons with 2 EHR datasets: procedure/diagnostic codes and radiologist-defined indications. Self-reported exams for a health problem had 89.2% agreement with codes and 92.2% agreement with radiologist-defined indications. Self-reported exams for follow-up had 87.5% agreement with codes and 89.3% agreement with radiologist-defined indications. Self-reported exams for screening had 91.4% agreement with codes and 95.7% agreement with radiologist-defined indications. Self-reported mammogram indications have good agreement with procedure/diagnostic codes and radiologist-reported indications, when asked using this novel hierarchical approach.
我们将更新后的美国国家健康访谈调查中关于乳房X光检查适应症的问题与电子健康记录(EHR)进行了验证。我们询问了244名年龄在40 - 74岁之间且符合乳腺癌筛查条件的凯撒永久医疗集团华盛顿分部成员,通过一系列新的分层是/否问题来自我报告其最近一次乳房X光检查的原因。我们首先询问他们进行乳房X光检查是否是因为健康问题,其次作为后续检查,最后是为了筛查。我们将自我报告的原因与两个电子健康记录数据集进行了比较:程序/诊断代码和放射科医生定义的适应症。因健康问题自我报告的检查与代码的一致性为89.2%,与放射科医生定义的适应症的一致性为92.2%。自我报告的后续检查与代码的一致性为87.5%,与放射科医生定义的适应症的一致性为89.3%。自我报告的筛查检查与代码的一致性为91.4%,与放射科医生定义的适应症的一致性为95.7%。当使用这种新颖的分层方法进行询问时,自我报告的乳房X光检查适应症与程序/诊断代码以及放射科医生报告的适应症具有良好的一致性。