Social determinants of health in mental health care and research: a case for greater inclusion

被引:33
作者
Deferio, Joseph J. [1 ]
Breitinger, Scott [2 ]
Khullar, Dhruv [1 ,3 ]
Sheth, Amit [4 ]
Pathak, Jyotishman [1 ]
机构
[1] Weill Cornell Med, Dept Healthcare Policy & Res, 425 E 61st St,Suite 301, New York, NY 10065 USA
[2] Weill Cornell Med, Dept Psychiat, New York, NY 10065 USA
[3] Weill Cornell Med, Dept Med, New York, NY 10065 USA
[4] Wright State Univ, Ohio Ctr Excellence Knowledge Enabled Comp Knoesi, Dayton, OH 45435 USA
基金
美国国家卫生研究院;
关键词
SOCIOECONOMIC-STATUS; PHYSICAL HEALTH; DISPARITIES; DEPRESSION; FRAMEWORK; DESIGN; PEOPLE; EQUITY; STIGMA;
D O I
10.1093/jamia/ocz049
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Social determinants of health (SDOH) are known to influence mental health outcomes, which are independent risk factors for poor health status and physical illness. Currently, however, existing SDOH data collection methods are ad hoc and inadequate, and SDOH data are not systematically included in clinical research or used to inform patient care. Social contextual data are rarely captured prospectively in a structured and comprehensive manner, leaving large knowledge gaps. Extraction methods are now being developed to facilitate the collection, standardization, and integration of SDOH data into electronic health records. If successful, these efforts may have implications for health equity, such as reducing disparities in access and outcomes. Broader use of surveys, natural language processing, and machine learning methods to harness SDOH may help researchers and clinical teams reduce barriers to mental health care.
引用
收藏
页码:895 / 899
页数:5
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