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Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review

Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review

As a result, one of Healthy People 2030’s five overarching goals is specifically related to SDOH: “Create social, physical, and economic environments that promote attaining the full potential for health and well-being for all” [2]. Studies have shown that SDOH has powerful influences on health [3] and well-being at the individual and population levels [4]; therefore, it is important to capture them.

Swati Rajwal, Ziyuan Zhang, Yankai Chen, Hannah Rogers, Abeed Sarker, Yunyu Xiao

JMIR Res Protoc 2025;14:e66094

How Do Scholars Conceptualize and Conduct Health and Digital Health Literacy Research? Survey of Federally Funded Scholars

How Do Scholars Conceptualize and Conduct Health and Digital Health Literacy Research? Survey of Federally Funded Scholars

HL functions as a critical component within the context of other social determinants of health (SDo H), such as education, socioeconomic status, access to quality health care, neighborhood and built environments, and social support networks [8,9].

Mayank Sakhuja, Brooks Yelton, Simone Kavarana, Lauren Schaurer, Jancham Rachel Rumthao, Samuel Noblet, Michelle A Arent, Mark M Macauda, Lorie Donelle, Daniela B Friedman

J Med Internet Res 2024;26:e57040

Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review

Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review

Most of the articles discussed multiple SDo H domains, but all 43 articles discussed education access and quality [5]. The most common categorization of the HL role was as a “result of SDo H” (n=23), followed by “modifiable SDo H” (n=14), and finally, as a “mediator of SDo H” (n=6). HL can be a “result of SDo H” (n=23), which suggests that SDo H domains contribute to HL levels and that it is a downstream variable [22-44].

Shwetha Bindhu, Anunita Nattam, Catherine Xu, Tripura Vithala, Tiffany Grant, Jacinda K Dariotis, Hexuan Liu, Danny T Y Wu

Online J Public Health Inform 2024;16:e50898

Development of a Social Risk Score in the Electronic Health Record to Identify Social Needs Among Underserved Populations: Retrospective Study

Development of a Social Risk Score in the Electronic Health Record to Identify Social Needs Among Underserved Populations: Retrospective Study

Targeted interventions to address social needs and SDOH challenges, especially among minority populations, are necessary to overcome widespread disparities [6]. The use of coding systems such as International Classification of Diseases, Tenth Revision (ICD-10) codes for social needs (ie, Z-codes) has increased in recent years, suggesting that clinicians and provider organizations are increasingly aware of social needs and SDOH challenges and the importance of screening for and documenting such needs [7].

Elham Hatef, Hsien-Yen Chang, Thomas M Richards, Christopher Kitchen, Janya Budaraju, Iman Foroughmand, Elyse C Lasser, Jonathan P Weiner

JMIR Form Res 2024;8:e54732

Assessment and Documentation of Social Determinants of Health Among Health Care Providers: Qualitative Study

Assessment and Documentation of Social Determinants of Health Among Health Care Providers: Qualitative Study

HP 2030’s data-driven national objectives categorize SDOH into 5 fundamental domains: economic stability, education access and quality, health care and quality, neighborhood and built environment, and social and community context [1]. Increased research interest in SDOH among the public health and medical community is driven by evidence SDOH clearly impact health outcomes. Between 30% and 55% of health outcomes are ascribed to SDOH [2].

Brooks Yelton, Jancham Rachel Rumthao, Mayank Sakhuja, Mark M Macauda, Lorie Donelle, Michelle A Arent, Xueying Yang, Xiaoming Li, Samuel Noblet, Daniela B Friedman

JMIR Form Res 2023;7:e47461

Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach

Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach

SDOH indicators including education attainment, financial security, health literacy, access to healthy food, poverty level, employment conditions, and health care access are determined to be the most significant predictors of an individual’s health status. Moreover, SDOH indicators are perceived to be among major driving forces behind systematic social inequalities [11].

Whitney S Brakefield, Olufunto A Olusanya, Arash Shaban-Nejad

JMIR Public Health Surveill 2022;8(8):e37039