| Literature DB >> 31329877 |
Joseph J Deferio1, Scott Breitinger2, Dhruv Khullar1,3, Amit Sheth4, Jyotishman Pathak1.
Abstract
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.Entities:
Mesh:
Year: 2019 PMID: 31329877 PMCID: PMC6696493 DOI: 10.1093/jamia/ocz049
Source DB: PubMed Journal: J Am Med Inform Assoc ISSN: 1067-5027 Impact factor: 4.497