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Implementing an EHR-based Screening and Referral System to Address Social Determinants of Health in Primary Care

机译:实施基于EHR的筛选和转介系统,以解决初级保健中健康的社会决定因素

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摘要

Background: Social determinants affect health, yet there are few systematic clinical strategies in primary care that leverage electronic health record (EHR) automation to facilitate screening for social needs and resource referrals. An EHR-based social determinants of health (SDOH) screening and referral model, adapted from the WE CARE model for pediatrics, was implemented in urban adult primary care. Objectives: This study aimed to: (1) understand the burden of SDOH among patients at Boston Medical Center; and (2) evaluate the feasibility of implementing a systematic clinical strategy to screen new primary care patients for SDOH, use EHR technology to add these needs to the patient's chart through autogenerated ICD-10 codes, and print patient language-congruent referrals to available resources upon patient request. Research Design: This observational study assessed the number of patients who were screened to be positive and requested resources for social needs. In addition, we evaluated the feasibility of implementing our SDOH strategy by determining the proportion of: eligible patients screened, providers signing orders for positive patient screenings, and provider orders for resource referral guides among patients requesting resource connections. Results: In total, 1696 of 2420 (70%) eligible patients were screened. Employment (12%), food insecurity (11%), and problems affording medications (11%) were the most prevalent concerns among respondents. In total, 367 of 445 (82%) patients with = 1 identified needs (excluding education) had the appropriate ICD-10 codes added to their visit diagnoses. In total, 325 of 376 (86%) patients who requested resources received a relevant resource referral guide. Conclusions: Implementing a systematic clinical strategy in primary care using EHR workflows was successful in identifying and providing resource information to patients with SDOH needs.
机译:背景:社会决定因素影响健康,但初级保健有很少的系统临床策略,利用电子健康记录(EHR)自动化,以方便筛选社会需求和资源推荐。基于EHR的健康(SDOH)筛查和推荐模型的社会决定因素,适应了PoIntrics的We Care模型,在城市成人初级保健中实施。目的:本研究旨在:(1)了解波士顿医疗中心患者的SDOH负担; (2)评估实施系统临床策略的可行性,以筛选SDOH的新初级护理患者,使用EHR技术通过自动化的ICD-10代码将这些需求添加到患者的图表中,并将患者语言 - 一致转介给可用资源进行打印患者请求后。研究设计:这种观察性研究评估了被筛选为积极和要求社会需求的患者的数量。此外,我们通过确定符合条件的患者筛选的比例来评估实施我们的SDOH策略的可行性,提供者签署患者患者筛查的订单,以及要求资源联系的患者资源转诊指南的提供商订单。结果:总共1696名,共2420名(70%)符合条件的患者进行了筛选。就业(12%),粮食不安全(11%)和提供药物(11%)的问题是受访者中最普遍的担忧。总共367名445名(82%)患者= 1次确定的需求(不包括教育)的适当ICD-10代码加入他们的访问诊断。总共325名376名(86%)所要求资源的患者收到有关资源转介指南。结论:使用EHR工作流程在初级保健中实施系统的临床策略成功地识别和向SDOH需要的患者提供资源信息。

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