Center for Clinical Informatics and Improvement Research, University of California, San Francisco (UCSF), San Francisco, California, USA.
Social Interventions Research and Evaluation Network, University of California, San Francisco (UCSF), San Francisco, California, USA.
J Am Med Inform Assoc. 2023 Feb 16;30(3):503-510. doi: 10.1093/jamia/ocac251.
Electronic health records (EHRs) are increasingly used to capture social determinants of health (SDH) data, though there are few published studies of clinicians' engagement with captured data and whether engagement influences health and healthcare utilization. We compared the relative frequency of clinician engagement with discrete SDH data to the frequency of engagement with other common types of medical history information using data from inpatient hospitalizations.
We created measures of data engagement capturing instances of data documentation (data added/updated) or review (review of data that were previously documented) during a hospitalization. We applied these measures to four domains of EHR data, (medical, family, behavioral, and SDH) and explored associations between data engagement and hospital readmission risk.
SDH data engagement was associated with lower readmission risk. Yet, there were lower levels of SDH data engagement (8.37% of hospitalizations) than medical (12.48%), behavioral (17.77%), and family (14.42%) history data engagement. In hospitalizations where data were available from prior hospitalizations/outpatient encounters, a larger proportion of hospitalizations had SDH data engagement than other domains (72.60%).
The goal of SDH data collection is to drive interventions to reduce social risk. Data on when and how clinical teams engage with SDH data should be used to inform informatics initiatives to address health and healthcare disparities.
Overall levels of SDH data engagement were lower than those of common medical, behavioral, and family history data, suggesting opportunities to enhance clinician SDH data engagement to support social services referrals and quality measurement efforts.
电子健康记录(EHR)越来越多地用于捕捉健康的社会决定因素(SDH)数据,但很少有研究报道临床医生对捕获数据的参与情况,以及这种参与是否会影响健康和医疗保健的利用。我们使用来自住院患者的数据,比较了临床医生与离散 SDH 数据的相对参与频率与与其他常见类型的病史信息的参与频率。
我们创建了数据参与度的衡量标准,以捕捉住院期间数据记录(添加/更新数据)或审查(审查先前记录的数据)的实例。我们将这些措施应用于 EHR 数据的四个领域(医疗、家庭、行为和 SDH),并探讨了数据参与度与医院再入院风险之间的关联。
SDH 数据参与与较低的再入院风险相关。然而,SDH 数据的参与程度较低(8.37%的住院患者),低于医疗(12.48%)、行为(17.77%)和家庭(14.42%)病史数据的参与程度。在有来自先前住院/门诊就诊数据的住院患者中,SDH 数据的参与比例高于其他领域(72.60%)。
SDH 数据收集的目标是推动干预措施以减少社会风险。应该利用有关临床团队何时以及如何参与 SDH 数据的信息来为信息学计划提供信息,以解决健康和医疗保健方面的差异。
SDH 数据参与的总体水平低于常见的医疗、行为和家庭病史数据,这表明有机会提高临床医生对 SDH 数据的参与度,以支持社会服务转介和质量衡量工作。