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Artificial Intelligence in Health





                                        ORIGINAL RESEARCH ARTICLE
                                        Factors associated with social determinants

                                        of health mentions in PubMed clinical case
                                        reports from 1975 to 2022: A natural language

                                        processing analysis



                                        Julio Bonis*, Veysel Kocaman, and David Talby
                                        John Snow Labs Inc., Delaware, United States of America




                                        Abstract
                                        Social determinants of health (SDoH) significantly influence health outcomes,
                                        accounting for nearly 40% of such outcomes globally. These determinants, pivotal
                                        in understanding health disparities, are insufficiently documented in clinical
                                        settings and academic clinical narratives. To address this gap, we examined clinical
                                        case reports from PubMed (1975–2022) to identify mentions of six specific SDoH,
                                        employing a pre-trained named-entity recognition (NER) model from Spark natural
                                        language processing (NLP). Multivariate logistic regression was utilized to investigate
                                        associations between article characteristics and the documentation of SDoH.
                                        From 463,546 reports, 4.4% mentioned SDoH, with race/ethnicity being the most
                                        dominant mention. Race/ethnicity was often cited by sub-Saharan African authors
            *Corresponding author:
            Julio Bonis                 (adjusted odds ratio [AOR]: 4.47) and in general medicine (AOR: 2.18). Marital status
            (julio@johnsnowlabs.com)    mentions appeared predominantly in psychiatry (AOR: 2.60) and gynecology (AOR:
            Citation: Bonis J, Kocaman V,   2.47). Sexual orientation mentions were correlated with infectious diseases (AOR:
            Talby D. Factors associated with   25.00)  and  varied  by  authorship  regions,  with  stronger  associations  observed  in
            social determinants of health   South America (AOR: 4.04) and North America (AOR: 2.15), and comparatively weaker
            mentions in PubMed clinical case
            reports from 1975 to 2022: A natural   associations noted in the Indian subcontinent and the Middle East (AOR: 0.16).
            language processing analysis.    Immigrant status mentions were closely related to infectious diseases (AOR: 4.51),
            Artif Intell Health. 2024;1(2): 117-131.   gynecology  (AOR:  4.25),  and  certain  geographies.  Homelessness  mentions  were
            doi: 10.36922/aih.2737
                                        more prominent in forensic medicine (AOR: 14.92) and in both infections (AOR: 6.36)
            Received: January 14, 2024  and mental disorders (AOR: 5.80). Spiritual belief mentions were more prominent
            Accepted: March 18, 2024    with sub-Saharan authors (AOR: 9.17) and psychiatry (AOR: 7.61). SDoH mentions in
                                        medical literature were also determined by the diagnosis, cultural background, and
            Published Online: April 17, 2024
                                        journal type. The limited SDoH registration emphasized their overlooked significance.
            Copyright: © 2024 Author(s).   Disproportionate emphasis on specific relationships, such as sexual orientation with
            This is an Open-Access article   infectious diseases, can perpetuate biases and stereotypes. Innovative tools such
            distributed under the terms of the
            Creative Commons Attribution   as Spark NLP offer promise in advancing research using electronic health records
            License, permitting distribution,   (EHRs), but a standardized approach to SDoH reporting and vigilant AI training is
            and reproduction in any medium,   crucial for unbiased health-care analysis.
            provided the original work is
            properly cited.
            Publisher’s Note: AccScience   Keywords: Social determinants of health; Natural language processing; Clinical case
            Publishing remains neutral with   reports; Ethnicity; Marital status; Immigrant status; Homeless; Spiritual beliefs
            regard to jurisdictional claims in
            published maps and institutional
            affiliations.




            Volume 1 Issue 2 (2024)                        117                               doi: 10.36922/aih.2737
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