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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
The Top 100 Cited Papers in Health Care Disparities: a Bibliometric Analysis
1Department of Orthopaedic Surgery, School of Medicine and Dentistry, University of Rochester, 601 Elmwood Ave, Box 665, Rochester, NY, 14642, USA.
Abstract:
Health care disparities research is an exponentially growing and multi-faceted field. Our objective was to identify and analyze the top 100 cited articles in health care disparities. The authors searched the Thomas Reuters Web of Science for citations of all research papers (articles) relevant to health care disparities. After analyzing search results, the number of citations, authorship, year, journal, country of publication, institution of publication, and relevant topic were recorded for each article. The most cited article was Martin's 2002 work identifying the demography of incidence and occurrence of sepsis with specific analysis of race, sex, and disposition of US patients. The second most cited article was Kamangar's 2006 paper outlining geographic patterns in cancer incidence, mortality, and prevalence. The third most cited article was Williams' 1996 study determining the differences in US health patterns in populations of different races and socioeconomic statuses through a review of similar studies. The majority of articles originated in the USA (91). The journal with the most published articles was JAMA-The Journal of the American Medical Association (14). The second most cited journal was The New England Journal of Medicine (7). Most articles were published in the 2000s (84). In descending order, the 3 most common topics were (1) disparities in cancer incidence, screening, treatment, and mortality, (2) disparities in mental health treatment, and (3) physician concordance, cultural competency, and relationships with minority patients. Overall, the highly cited articles contain current advancements in the body of knowledge used to resolve health care disparities in race, ethnicity, socioeconomic status, gender, age, wealth, education level, mental health, and geography throughout the world.
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