Underrepresented in medicine (URiM) faculty development: Trends in biomedical database publication

J Natl Med Assoc. 2024 Apr;116(2 Pt 1):165-169. doi: 10.1016/j.jnma.2024.01.005. Epub 2024 Jan 13.

Abstract

Background: Biomedical databases create an educational platform that allows institutions to share innovations and research discoveries. Identifying literature in biomedical databases that inform the faculty development experiences of faculty underrepresented in medicine (URiM) can help institutions identify resources to promote career advancement for this group. The authors sought to determine biomedical database trends in publications related to faculty development experiences of URiM faculty over the last twenty years.

Methods: An electronic search for literature published between January 2003 to Dec 2022 was conducted in the databases CINAHL, PubMed, Scopus, and PsycInfo using keywords underrepresented minority, faculty development, career development, professional development, academic medicine, and workforce in the title, abstract, or body of the manuscript. Growth rates were calculated for each database. The statistical significance difference in median numbers of publication per database was evaluated using Krusksal Wallis and Dunn's test post hoc.

Results: Search results found 1516 publications over the twenty-year period. Scopus published the most literature with 1,372 publications with a mean number of 68.6 per year (SD 83.47). Both Scopus and PubMed had increased growth rates at 41% and 25%, respectively. There were statistically significant differences in median publication numbers between Scopus, CINAHL, and PsycInfo (p < 0.001) but not PubMed (p 0.062).

Conclusion: Trends in publications related to URiM faculty development have increased over the last twenty years, most noted in the Scopus and PubMed biomedical databases.

Keywords: Academic medicine; Faculty development; Manuscript; Medical literature; Underrepresented minority; Workforce.

MeSH terms

  • Biomedical Research / trends
  • Databases, Factual*
  • Faculty, Medical* / statistics & numerical data
  • Faculty, Medical* / trends
  • Humans
  • Minority Groups / statistics & numerical data
  • Staff Development / trends