Green Ridgely Fisk, Moonesinghe Ramal, Rim Sun Hee, Kolor Katherine, Rasooly Danielle, Littrell Kevin, Bowen Scott, Dotson W David, Khoury Muin J
Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA.
Tanaq Support Services, LLC, Atlanta, GA.
Genet Med Open. 2025 Jun 11;3:103439. doi: 10.1016/j.gimo.2025.103439. eCollection 2025.
We used data from the Research Program to examine sociodemographic differences in family health history (FHH) survey access, availability of electronic health records (EHR) data, FHH knowledge, FHH in the survey and EHR data, and concordance of FHH in survey and EHR data for breast cancer, colorectal cancer, and diabetes.
We calculated percentages and standard errors of participants who accessed the FHH survey, reported no FHH knowledge, had EHR data available, had FHH data in the survey and EHR, and had FHH in the survey or EHR that was not captured in the other data source for breast cancer, colorectal cancer, and diabetes. We stratified by age, race and ethnicity, sex, sexual orientation, household income, employment status, education level, marital status, and health insurance status. To determine significant differences, we calculated absolute and relative disparity, Z-tests, and values with the significance threshold adjusted for multiple comparisons using the Bonferroni correction.
We found significant disparities in accessing the survey and reporting no FHH knowledge across almost all sociodemographic subgroups. Most FHH reported in the survey was not captured in the EHR data, most significantly for participants who were aged 20 to 29, were students, did not graduate high school, were never married, or had no health insurance.
Our study showed significant sociodemographic disparities in FHH survey access, FHH knowledge, and FHH captured in EHR structured data, which could widen inequities in access to FHH-based interventions.
我们利用研究项目中的数据,考察在家族健康史(FHH)调查获取情况、电子健康记录(EHR)数据可用性、FHH知识、调查和EHR数据中的FHH,以及乳腺癌、结直肠癌和糖尿病的调查与EHR数据中FHH的一致性方面的社会人口学差异。
我们计算了获取FHH调查的参与者、报告无FHH知识的参与者、有EHR数据可用的参与者、在调查和EHR中有FHH数据的参与者,以及在调查或EHR中有而在另一个数据源中未被记录的乳腺癌、结直肠癌和糖尿病FHH的参与者的百分比和标准误差。我们按年龄、种族和族裔、性别、性取向、家庭收入、就业状况、教育水平、婚姻状况和医疗保险状况进行分层。为了确定显著差异,我们计算了绝对和相对差异、Z检验以及采用Bonferroni校正对多重比较进行显著性阈值调整后的P值。
我们发现在几乎所有社会人口学亚组中,在获取调查和报告无FHH知识方面存在显著差异。调查中报告的大多数FHH在EHR数据中未被记录,对于年龄在20至29岁、是学生、未高中毕业、从未结婚或没有医疗保险的参与者而言差异最为显著。
我们的研究表明,在FHH调查获取情况、FHH知识以及EHR结构化数据中记录的FHH方面存在显著的社会人口学差异,这可能会扩大基于FHH的干预措施获取方面的不平等。