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Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs

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...

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Autores principales: Mekinda, Megan A., Chaudhary, Sunita, Vanderford, Nathan L., White, Karen Burns, Kennedy, Linda S., Marriott, Lisa K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575593/
https://www.ncbi.nlm.nih.gov/pubmed/37840910
http://dx.doi.org/10.15695/jstem/v5i2.12
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author Mekinda, Megan A.
Chaudhary, Sunita
Vanderford, Nathan L.
White, Karen Burns
Kennedy, Linda S.
Marriott, Lisa K.
author_facet Mekinda, Megan A.
Chaudhary, Sunita
Vanderford, Nathan L.
White, Karen Burns
Kennedy, Linda S.
Marriott, Lisa K.
author_sort Mekinda, Megan A.
collection PubMed
description 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.
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spelling pubmed-105755932023-10-13 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. J STEM Outreach Article 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. 2022-08 2023-01-23 /pmc/articles/PMC10575593/ /pubmed/37840910 http://dx.doi.org/10.15695/jstem/v5i2.12 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
spellingShingle Article
Mekinda, Megan A.
Chaudhary, Sunita
Vanderford, Nathan L.
White, Karen Burns
Kennedy, Linda S.
Marriott, Lisa K.
Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs
title Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs
title_full Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs
title_fullStr Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs
title_full_unstemmed Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs
title_short Approaches for Measuring Inclusive Demographics Across Youth Enjoy Science Cancer Research Training Programs
title_sort approaches for measuring inclusive demographics across youth enjoy science cancer research training programs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575593/
https://www.ncbi.nlm.nih.gov/pubmed/37840910
http://dx.doi.org/10.15695/jstem/v5i2.12
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