Bather Jemar R, Goodman Melody S, Harris Adrian, Del Fiol Guilherme, Hess Rachel, Wetter David W, Chavez-Yenter Daniel, Zhong Lingzi, Kaiser-Jackson Lauren, Chambers Rachelle, Bradshaw Richard, Kohlmann Wendy, Colonna Sarah, Espinel Whitney, Monahan Rachel, Buys Saundra S, Ginsburg Ophira, Kawamoto Kensaku, Kaphingst Kimberly A
Center for Anti-Racism, Social Justice & Public Health, New York University School of Global Public Health, 708 Broadway, 9th Floor, New York, NY, 10003, USA.
Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA.
BMC Cancer. 2025 Jan 31;25(1):180. doi: 10.1186/s12885-025-13495-4.
Research on social determinants of genetic testing uptake is limited, particularly among unaffected patients with inherited cancer susceptibility.
We conducted a secondary analysis of the Broadening the Reach, Impact, and Delivery of Genetic Services (BRIDGE) trial at University of Utah Health and NYU Langone Health, involving 2,760 unaffected patients meeting genetic testing criteria for inherited cancer susceptibility and who were initially randomized to either an automated chatbot or an enhanced standard of care (SOC) genetic services delivery model. We used encounters from the electronic health record (EHR) to measure the uptake of genetic counseling and testing, including dichotomous measures of (1) whether participants initiated pre-test cancer genetic services, (2) completed pre-test cancer genetic services, (3) had genetic testing ordered, and (4) completed genetic testing. We merged zip codes from the EHR to construct census tract-weighted social measures of the Social Vulnerability Index. Multilevel models estimated associations between social vulnerability and genetic services utilization. We tested whether intervention condition (i.e., chatbot vs. SOC) moderated the association of social vulnerability with genetic service utilization. Covariates included study arm, study site, age, sex, race/ethnicity, language preference, rural residence, having a recorded primary care provider, and number of algorithm criteria met.
Patients living in areas of medium socioeconomic status (SES) vulnerability had lower odds of initiating pre-test genetic services (adjusted OR [aOR] = 0.81, 95% CI: 0.67, 0.98) compared to patients living in low SES vulnerability areas. Patients in medium household vulnerability areas had a lower likelihood of completing pre-test genetic services (aOR = 0.80, 95% CI: 0.66-0.97) and having genetic testing ordered (aOR = 0.79, 95% CI: 0.63-0.99) relative to patients in low household vulnerability areas. We did not find that social vulnerability associations varied by intervention condition.
These results underscore the importance of investigating social and structural mechanisms as potential pathways to increasing genetic testing uptake among patients with increased inherited risk of cancer. Census information is publicly available but seldom used to assess social determinants of genetic testing uptake among unaffected populations. Existing and future cohort studies can incorporate census data to derive analytic insights for clinical scientists.
BRIDGE was registered as NCT03985852 on June 6, 2019 at clinicaltrials.gov.
关于基因检测接受情况的社会决定因素的研究有限,尤其是在未受影响的遗传性癌症易感性患者中。
我们对犹他大学健康中心和纽约大学朗格尼健康中心开展的“扩大基因服务的覆盖范围、影响和提供方式(BRIDGE)”试验进行了二次分析,该试验涉及2760名未受影响的患者,这些患者符合遗传性癌症易感性基因检测标准,最初被随机分配到自动聊天机器人或强化标准护理(SOC)基因服务提供模式。我们利用电子健康记录(EHR)中的诊疗记录来衡量遗传咨询和检测的接受情况,包括以下二分法指标:(1)参与者是否启动检测前癌症基因服务;(2)是否完成检测前癌症基因服务;(3)是否已安排基因检测;(4)是否完成基因检测。我们合并了EHR中的邮政编码,以构建社会脆弱性指数的人口普查区加权社会指标。多层次模型估计了社会脆弱性与基因服务利用之间的关联。我们测试了干预条件(即聊天机器人与SOC)是否调节了社会脆弱性与基因服务利用之间的关联。协变量包括研究组、研究地点、年龄、性别、种族/族裔、语言偏好、农村居住情况、是否有记录在案的初级保健提供者以及满足的算法标准数量。
与生活在社会经济地位(SES)低脆弱性地区的患者相比,生活在中等SES脆弱性地区的患者启动检测前基因服务的几率较低(调整后的比值比[aOR]=0.81,95%置信区间:0.67,0.98)。与生活在家庭低脆弱性地区的患者相比,生活在中等家庭脆弱性地区的患者完成检测前基因服务的可能性较低(aOR=0.80,95%置信区间:0.66 - 0.97),且安排基因检测的可能性较低(aOR=0.79,95%置信区间:0.63 - 0.99)。我们没有发现社会脆弱性关联因干预条件而异。
这些结果强调了调查社会和结构机制作为增加遗传性癌症风险增加患者基因检测接受率的潜在途径的重要性。人口普查信息是公开可用的,但很少用于评估未受影响人群中基因检测接受情况的社会决定因素。现有和未来的队列研究可以纳入人口普查数据,为临床科学家提供分析见解。
BRIDGE于2019年6月6日在clinicaltrials.gov上注册为NCT03985852。