From Genes to Geography, from Cells to Community, from Biomolecules to Behaviors: The Importance of Social Determinants of Health.

From Genes to Geography, from Cells to Community, from Biomolecules to Behaviors: The Importance of Social Determinants of Health.
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DOI:
10.3390/biom12101449
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发表时间:
2022-10-09
期刊:
影响因子:
5.5
通讯作者:
--
中科院分区:
生物学2区
文献类型:
--
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过去几十年的许多科学工作将健康结果和疾病风险与基因组学联系起来,以便在遗传和分子水平上更好地了解疾病机制。然而,基因组学本身并不能完全捕捉到一个人整体健康的全貌。现代计算生物医学研究正朝着包括社会/环境因素的方向发展,这些因素最终会影响人口和个人的生活质量和健康结果。研究疾病的未来现在掌握在健康的社会决定因素(SDOH)手中,以回答紧迫的临床问题,并通过将其整合到电子健康记录(EHR)中来解决人口群体之间的医疗保健差异。在这篇观点文章中,我们认为SDOH是疾病风险和健康结果研究的未来,因为它们广泛覆盖了患者的整体健康。多年来,EHR中的SDOH数据可用性随着EHR工具包、诊断代码、可穿戴设备和人口普查区域信息的使用而大大提高,以研究疾病风险。我们讨论了SDOH数据的可用性,SDOH实施中的挑战,其在现实世界证据研究中的未来,以及以公平和可操作的方式报告研究结果的下一步。
Much scientific work over the past few decades has linked health outcomes and disease risk to genomics, to derive a better understanding of disease mechanisms at the genetic and molecular level. However, genomics alone does not quite capture the full picture of one’s overall health. Modern computational biomedical research is moving in the direction of including social/environmental factors that ultimately affect quality of life and health outcomes at both the population and individual level. The future of studying disease now lies at the hands of the social determinants of health (SDOH) to answer pressing clinical questions and address healthcare disparities across population groups through its integration into electronic health records (EHRs). In this perspective article, we argue that the SDOH are the future of disease risk and health outcomes studies due to their vast coverage of a patient’s overall health. SDOH data availability in EHRs has improved tremendously over the years with EHR toolkits, diagnosis codes, wearable devices, and census tract information to study disease risk. We discuss the availability of SDOH data, challenges in SDOH implementation, its future in real-world evidence studies, and the next steps to report study outcomes in an equitable and actionable way.
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