Literature DB >> 27224301

Measuring Diversity of the National Institutes of Health-Funded Workforce.

Misty L Heggeness1, Lisa Evans, Jennifer Reineke Pohlhaus, Sherry L Mills.   

Abstract

PURPOSE: To measure diversity within the National Institutes of Health (NIH)-funded workforce. The authors use a relevant labor market perspective to more directly understand what the NIH can influence in terms of enhancing diversity through NIH policies.
METHOD: Using the relevant labor market (defined as persons with advanced degrees working as biomedical scientists in the United States) as the conceptual framework, and informed by accepted economic principles, the authors used the American Community Survey and NIH administrative data to calculate representation ratios of the NIH-funded biomedical workforce from 2008 to 2012 by race, ethnicity, sex, and citizenship status, and compared this against the pool of characteristic individuals in the potential labor market.
RESULTS: In general, the U.S. population during this time period was an inaccurate comparison group for measuring diversity of the NIH-funded scientific workforce. Measuring accurately, we found the representation of women and traditionally underrepresented groups in NIH-supported postdoc fellowships and traineeships and mentored career development programs was greater than their representation in the relevant labor market. The same analysis found these demographic groups are less represented in the NIH-funded independent investigator pool.
CONCLUSIONS: Although these findings provided a picture of the current NIH-funded workforce and a foundation for understanding the federal role in developing, maintaining, and renewing diverse scientific human resources, further study is needed to identify whether junior- and early-stage investigators who are part of more diverse cohorts will naturally transition into independent NIH-funded investigators, or whether they will leave the workforce before achieving independent researcher status.

Entities:  

Mesh:

Year:  2016        PMID: 27224301      PMCID: PMC5502106          DOI: 10.1097/ACM.0000000000001209

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  6 in total

1.  Sex differences in application, success, and funding rates for NIH extramural programs.

Authors:  Jennifer Reineke Pohlhaus; Hong Jiang; Robin M Wagner; Walter T Schaffer; Vivian W Pinn
Journal:  Acad Med       Date:  2011-06       Impact factor: 6.893

Review 2.  Interaction revisited: the difference between two estimates.

Authors:  Douglas G Altman; J Martin Bland
Journal:  BMJ       Date:  2003-01-25

3.  Groups of diverse problem solvers can outperform groups of high-ability problem solvers.

Authors:  Lu Hong; Scott E Page
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-08       Impact factor: 11.205

4.  Race, ethnicity, and NIH research awards.

Authors:  Donna K Ginther; Walter T Schaffer; Joshua Schnell; Beth Masimore; Faye Liu; Laurel L Haak; Raynard Kington
Journal:  Science       Date:  2011-08-19       Impact factor: 47.728

5.  Changes in the representation of women and minorities in biomedical careers.

Authors:  Samuel L Myers; Kaye Husbands Fealing
Journal:  Acad Med       Date:  2012-11       Impact factor: 6.893

6.  Are race, ethnicity, and medical school affiliation associated with NIH R01 type 1 award probability for physician investigators?

Authors:  Donna K Ginther; Laurel L Haak; Walter T Schaffer; Raynard Kington
Journal:  Acad Med       Date:  2012-11       Impact factor: 6.893

  6 in total
  23 in total

1.  The new face of US science.

Authors:  Misty L Heggeness; Kearney T W Gunsalus; José Pacas; Gary McDowell
Journal:  Nature       Date:  2017-01-03       Impact factor: 49.962

2.  The perils of intersectionality: racial and sexual harassment in medicine.

Authors:  Sherita Hill Golden
Journal:  J Clin Invest       Date:  2019-08-05       Impact factor: 14.808

3.  The national MD-PhD program outcomes study: Outcomes variation by sex, race, and ethnicity.

Authors:  Myles H Akabas; Lawrence F Brass
Journal:  JCI Insight       Date:  2019-10-03

4.  Diversification in the medical sciences fuels growth of physician-scientists.

Authors:  John M Carethers
Journal:  J Clin Invest       Date:  2019-12-02       Impact factor: 14.808

5.  Women's Careers in Biomedical Sciences: Implications for the Economy, Scientific Discovery, and Women's Health.

Authors:  Jennifer L Plank-Bazinet; Misty L Heggeness; P Kay Lund; Janine Austin Clayton
Journal:  J Womens Health (Larchmt)       Date:  2016-08-10       Impact factor: 2.681

6.  Diversifying the Research Workforce as a Programmatic Priority for a Career Development Award Program at Duke University.

Authors:  Kimberly S Johnson; Rasheed Gbadegesin; Amanda E McMillan; Stephanie Molner; L Ebony Boulware; Laura P Svetkey
Journal:  Acad Med       Date:  2021-06-01       Impact factor: 7.840

7.  Cultural and linguistic adaptation of psychosocial measurements for latinx participants-Leveraging community-engaged research methods.

Authors:  Gabriela A Nagy; Rosa Solorzano; Allison M Stafford; Maralis Mercado Emerson; Rosa Gonzalez-Guarda
Journal:  Res Nurs Health       Date:  2021-04-12       Impact factor: 2.238

8.  Reimagining a summer research program during COVID: Strategies for enhancing research workforce diversity.

Authors:  Brenda L Eakin; Phillip A Ianni; Christy Byks-Jazayeri; Vicki L Ellingrod; Susan J Woolford
Journal:  J Clin Transl Sci       Date:  2022-02-28

9.  Decoupling of the minority PhD talent pool and assistant professor hiring in medical school basic science departments in the US.

Authors:  Kenneth D Gibbs; Jacob Basson; Imam M Xierali; David A Broniatowski
Journal:  Elife       Date:  2016-11-17       Impact factor: 8.140

Review 10.  Perioperative care of adults with Down syndrome: a narrative review.

Authors:  Elizabeth B Malinzak
Journal:  Can J Anaesth       Date:  2021-06-24       Impact factor: 6.713

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.