利用社会和环境健康决定因素评估急诊科小儿哮喘的新型工具

Danica B. Liberman MD, MPH, Jonathan S. Tam MD, Anna M. Cushing MD, Juan Espinoza MD
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引用次数: 0

摘要

哮喘是儿童最常见的慢性疾病,美国有 400 多万儿童患有哮喘,经济条件较差的儿童以及少数种族和族裔儿童受到的影响尤为严重。研究表明,环境、社会经济和其他健康的社会决定因素(SDoH)在很大程度上可以解释哮喘结果中的种族和民族差异。利用新方法对疾病严重程度和风险进行分层,重点关注导致哮喘差异的基本 SDoH,为将种族和民族与其混杂的社会决定因素区分开来提供了机会。特别是,随着地理空间信息系统的使用日益广泛,地理编码数据可以使研究人员和临床医生量化结构性种族主义对社会和环境的影响。当这些数据被系统地收集并制成表格后,研究人员,最终是床边的临床医生,就可以评估患者的社区环境,并针对那些与哮喘发病率最相关的因素制定有针对性的干预措施。为此,我们设计了一个视图(Cerner 电子病历中的 mPage),它集中了关键的临床信息,并与 SDoH 变量一起显示,这些变量被证明与哮喘的发病率和严重程度有关。项目的下一步是完善和验证数据,我们的目标是让急诊科临床医生在护理哮喘患者时实时使用这些数据。我们的多学科、以患者为中心的方法充分利用了现代信息学工具,将为更好地分流哮喘加重患者、选择最佳干预措施以及针对疾病的潜在决定因素创造机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A novel tool using social and environmental determinants of health to assess pediatric asthma in the emergency department

Asthma, the most common chronic disease in children, affects more than 4 million children in the United States, disproportionately affecting those who are economically disadvantaged and racial and ethnic minorities. Studies have shown that the racial and ethnic disparities in asthma outcomes can be largely explained by environmental, socioeconomic and other social determinants of health (SDoH). Utilizing new approaches to stratify disease severity and risk, which focus on the underlying SDoH that lead to asthma disparity, provides an opportunity to disentangle race and ethnicity from its confounding social determinants. In particular, with the growing use of geospatial information systems, geocoded data can enable researchers and clinicians to quantify social and environmental impacts of structural racism. When these data are systematically collected and tabulated, researchers, and ultimately clinicians at the bedside, can evaluate patients’ neighborhood context and create targeted interventions toward those factors most associated with asthma morbidity. To do this, we have designed a view (mPage in the Cerner electronic health record) that centralizes key clinical information and displays it alongside SDoH variables shown to be linked to asthma incidence and severity. Once refined and validated, which is the next step in our project, our goal is for emergency medicine clinicians to use these data in real time while caring for patients with asthma. Our multidisciplinary, patient-centered approach that leverages modern informatics tools will create opportunities to better triage patients with asthma exacerbations, choose the best interventions, and target underlying determinants of disease.

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CiteScore
4.10
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0.00%
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审稿时长
5 weeks
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