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American Association for the Advancement of Science, Science Advances, 4(10), 2024

DOI: 10.1126/sciadv.adf9033

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Mining the health disparities and minority health bibliome: A computational scoping review and gap analysis of 200,000+ articles

Journal article published in 2024 by Harry Reyes Nieva ORCID, Suzanne Bakken ORCID, Noémie Elhadad ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Without comprehensive examination of available literature on health disparities and minority health (HDMH), the field is left vulnerable to disproportionately focus on specific populations or conditions, curtailing our ability to fully advance health equity. Using scalable open-source methods, we conducted a computational scoping review of more than 200,000 articles to investigate major populations, conditions, and themes as well as notable gaps. We also compared trends in studied conditions to their relative prevalence using insurance claims (42 million Americans). HDMH publications represent 1% of articles in Medical Literature Analysis and Retrieval System Online (MEDLINE). Most studies are observational in nature, although randomized trial reporting has increased fivefold in the past 20 years. Half of HDMH articles concentrate on only three disease groups (cancer, mental health, and endocrine/metabolic disorders), while hearing, vision, and skin-related conditions are among the least well represented despite substantial prevalence. To support further investigation, we present HDMH Monitor, an interactive dashboard and repository generated from the HDMH bibliome.