Savitz Samuel T, Nyman Mark A, Kaduk Anne, Loftus Conor, Phelan Sean, Barry Barbara A
Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery.
Division of Health Care Delivery Research.
Med Care. 2022 Sep 1;60(9):700-708. doi: 10.1097/MLR.0000000000001754. Epub 2022 Jul 22.
Health systems are increasingly recognizing the importance of collecting social determinants of health (SDoH) data. However, gaps remain in our understanding of facilitators or barriers to collection. To address these gaps, we evaluated a real-world implementation of a SDoH screening tool.
We conducted a retrospective analysis of the implementation of the SDoH screening tool at Mayo Clinic in 2019. The outcomes are: (1) completion of screening and (2) the modality used (MyChart: filled out on patient portal; WelcomeTablet: filled out by patient on a PC-tablet; EpicCare: data obtained directly by provider and entered in chart). We conducted logistic regression for completion and multinomial logistic regression for modality. The factors of interest included race and ethnicity, use of an interpreter, and whether the visit was for primary care.
Overall, 58.7% (293,668/499,931) of screenings were completed. Patients using interpreters and racial/ethnic minorities were less likely to complete the screening. Primary care visits were associated with an increase in completion compared with specialty care visits. Patients who used an interpreter, racial and ethnic minorities, and primary care visits were all associated with greater WelcomeTablet and lower MyChart use.
Patient and system-level factors were associated with completion and modality. The lower completion and greater WelcomeTablet use among patients who use interpreters and racial and ethnic minorities points to the need to improve screening in these groups and that the availability of the WelcomeTablet may have prevented greater differences. The higher completion in primary care visits may mean more outreach is needed for specialists.
卫生系统越来越认识到收集健康的社会决定因素(SDoH)数据的重要性。然而,我们对数据收集的促进因素或障碍的理解仍存在差距。为了填补这些差距,我们评估了一种SDoH筛查工具在现实世界中的实施情况。
我们对2019年梅奥诊所实施SDoH筛查工具的情况进行了回顾性分析。结果包括:(1)筛查的完成情况;(2)使用的方式(MyChart:在患者门户网站上填写;WelcomeTablet:患者在个人电脑平板电脑上填写;EpicCare:由提供者直接获取数据并录入病历)。我们对完成情况进行了逻辑回归分析,对方式进行了多项逻辑回归分析。感兴趣的因素包括种族和民族、是否使用口译员以及就诊是否为初级保健。
总体而言,58.7%(293,668/499,931)的筛查得以完成。使用口译员的患者和少数种族/民族完成筛查的可能性较小。与专科护理就诊相比,初级保健就诊的完成率有所提高。使用口译员的患者、少数种族和民族以及初级保健就诊都与更多地使用WelcomeTablet和更少地使用MyChart相关。
患者和系统层面的因素与完成情况和方式相关。使用口译员的患者以及少数种族和民族完成率较低且更多地使用WelcomeTablet,这表明需要改善这些群体的筛查情况,并且WelcomeTablet的可用性可能避免了更大的差异。初级保健就诊的完成率较高可能意味着专科医生需要更多的外展服务。