Your browser doesn't support javascript.
loading
Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs.
Mekinda, Megan A; Chaudhary, Sunita; Vanderford, Nathan L; White, Karen Burns; Kennedy, Linda S; Marriott, Lisa K.
Affiliation
  • Mekinda MA; University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL.
  • Chaudhary S; Rutgers Cancer Institute of New Jersey, Department of Surgery, Robert Wood Johnson Medical School, New Brunswick, NJ.
  • Vanderford NL; Markey Cancer Center and the Department of Toxicology and Cancer Biology, College of Medicine, University of Kentucky, Lexington, KY.
  • White KB; Dana-Farber/Harvard Cancer Center, Boston, MA.
  • Kennedy LS; Dartmouth Cancer Center, Geisel School of Medicine, Hanover, NH.
  • Marriott LK; OHSU-PSU School of Public Health; Oregon Health and Science University; Portland, OR.
J STEM Outreach ; 5(2)2022 Aug.
Article in En | MEDLINE | ID: mdl-37840910
The National Cancer Institute's (NCI) Youth Enjoy Science Program (YES) funds initiatives to support the cancer research training and career ambitions of middle school through undergraduate students from populations underrepresented in the biomedical sciences. The program has funded 16 institutions nationally as of January 2022. Given the program's focus on increasing diversity within the cancer research workforce, demographic characteristics of YES trainees provide essential information about the populations being served and program effectiveness. Six programs formed an interest group focused on trainee demographics and surveyed all YES grantees about their demographic data practices. Fifteen programs (94%) completed the survey. Survey data were analyzed through descriptive statistics and thematic coding. Findings revealed considerable variability in programs' approach to demographic data, including which demographics were measured, how they were operationalized, and when and how the data were collected. Half of YES programs (53%) could report underrepresented populations in biomedical research among trainees using consistent definitions. Most programs described efforts to improve their demographic data practices; however, challenges remained for the vast majority. In consideration of these findings, we offer recommendations for inclusive demographic data practices to better define and retain underrepresented populations in biomedical sciences.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J STEM Outreach Year: 2022 Document type: Article Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J STEM Outreach Year: 2022 Document type: Article Country of publication: Estados Unidos