Measuring diversity of the national institutes of health-funded workforce

Academic Medicine

Volumn 91, Issue 8, 2016, Pages 1164-1172

  Heggeness, Misty L ^a,b   Evans, Lisa ^b   Pohlhaus, Jennifer Reineke ^c   Mills, Sherry L ^b  

^a U S CENSUS BUREAU   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c Ripple Effects Communications Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CULTURAL DIVERSITY; ECONOMICS; FEMALE; FINANCIAL MANAGEMENT; HEALTH CARE MANPOWER; HUMAN; MALE; NATIONAL HEALTH ORGANIZATION; PERSONNEL; PROCEDURES; STATISTICS AND NUMERICAL DATA; UNITED STATES;

CULTURAL DIVERSITY; FEMALE; FINANCING, GOVERNMENT; HEALTH MANPOWER; HUMANS; MALE; NATIONAL INSTITUTES OF HEALTH (U.S.); RESEARCH PERSONNEL; UNITED STATES;

EID: 84969963767     PISSN: 10402446     EISSN: 1938808X     Source Type: Journal    
DOI: 10.1097/ACM.0000000000001209     Document Type: Conference Paper

References (31)

1. Leonard JS, Levine DI. The effect of diversity on turnover: A large case study. Ind Labor Relat Rev. 2006; 59: 547-572.
2. Gurin P. The compelling need for diversity in education. Expert report prepared for the lawsuits Gratz and Hamacher v Bollinger, Duderstadt, the University of Michigan, and the University of Michigan College of LS&A, Civil Action No. 97-75231 (U.S. District Court, Eastern District of Michigan) and Grutter v Bollinger, Lehman, Shields, the University of Michigan and the University of Michigan Law School, Civil Action No. 9775928. http://www.umich.edu/~urel/.admissions/legal/expert/gurintoc.html. Published 1999. Accessed February 25, 2016.
3. Hong LP, Page SE. Problem solving by heterogeneous agents. J Econ Theory. 2001; 97: 123-163.
4. Hong L, Page SE. Groups of diverse problem solvers can outperform groups of high-Ability problem solvers. Proc Natl Acad Sci USA. 2004; 101: 16385-16389.
5. Ottaviano GIP, Peri G. The economic value of cultural diversity: Evidence from U.S. cities. J Econ Geogr. 2006; 6: 9-44.
6. National Institutes of Health. Office of Extramural Research. Notice of NIH's interest in diversity. Notice number: NOTOD-15-053. http://grants.nih.gov/grants/.guide/notice-files/NOT-OD-15-053.html. Released January 12, 2015. Accessed February 25, 2016.7 National Academy of Sciences, National Academy of Engineering, and Institute of Medicine. Expanding Underrepresented Minority Participation: America's Science and Technology Talent at the Crossroads. Washington, DC: National Academies Press; 2011.
7. Myers SL, Turner CS. The effects of Ph.D. supply on minority faculty representation. Am Econ Rev. 2004; 94: 296-301.
8. Myers SJ, Husbands-Fealing K. Changes in the representation of women and minorities in biomedical careers. Acad Med. 2012; 87: 1525-1529.
9. Denson NC, Chang MJ. Racial diversity matters: The impact of diversity-related student engagement and institutional context. Am Educ Res J. 2009; 46: 322-353.
10. National Academy of Sciences (U.S.), National Academy of Engineering (U.S.), and Institute of Medicine (U.S.) Committee on Maximizing the Potential of Women in Academic Science and Engineering. Beyond Bias and Barriers: Fulfilling the Potential of Women in Academic Sciences and Engineering. Washington, DC: National Academies Press; 2007. http://www. nap.edu/openbook.php'record-id=11741. Accessed February 25, 2016.
11. Pohlhaus JR, Jiang H, Wagner RM, Schaffer WT, Pinn VW. Sex differences in application, success, and funding rates for NIH extramural programs. Acad Med. 2011; 86: 759-767.
12. Ginther DK, Haak LL, Schaffer WT, Kington R. Are race, ethnicity, and medical school affiliation associated with NIH R01 type 1 award probability for physician investigators'. Acad Med. 2012; 87: 1516-1524.
13. Ginther DK, Schaffer WT, Schnell J, et al. Race, ethnicity, and NIH research awards. Science. 2011; 333: 1015-1019.
14. Ginther DK, Schaffer WT, Schnell J, et al. Diversity in academic biomedicine: An evaluation of education and career outcomes with implications for policy. http://ssrn.com/.abstract=1677993. Published September 22, 2009. Accessed February 25, 2016.
15. National Institutes of Health. Advisory Committee to the Director. Working Group on Diversity in the Biomedical Research Workforce. http://acd.od.nih.gov/dbr.htm. Last reviewed February 12, 2011. Accessed February 25, 2016.
16. National Institutes of Health. Advisory Committee to the Director. Biomedical Workforce Task Force. http://acd.od.nih.gov/.bwf.htm. Last reviewed February 12, 2011. Accessed February 25, 2016.
17. Building Engineering & Science Talent. The talent imperative: Meeting America's challenge in science and engineering, ASAP. http://www.bestworkforce.org/PDFdocs/.BESTTalentImperativeFINAL.pdf. Published 2004. Accessed February 25, 2016.
18. National Science and Technology Council. Ensuring a Strong U.S. Scientific, Technical, and Engineering Workforce in the 21st Century. Washington, DC: Office of Science and Technology; 2000.
19. National Institute of General Medical Sciences. Investing in the future: National Institute of General Medical Sciences strategic plan for biomedical and behavioral research training 2011. http://publications. nigms.nih.gov/trainingstrategicplan/.Strategic-Training-Plan.pdf. Accessed February 25, 2016.
20. United States Census Bureau. American FactFinder. http://factfinder.census.gov. Accessed February 25, 2016.
21. U.S. Department of Labor Office of Federal Contract Compliance Programs. Federal contractors' obligation to maintain and analyze race and ethnicity data of applicants and employees in AAPs prepared in accordance with executive order 11246, as amended (referenced as transmittal No. 283 and ADM notice/other), OFCCP directive 2008-02. http://www.dol.gov/ofccp/regs/compliance/.directives/dir283.htm. Accessed March 5, 2016.
22. Association of American Medical Colleges. Faculty roster. https://www.aamc.org/data/.facultyroster/. Accessed May 11, 2016.
23. Collins FS. EEO and Diversity and Inclusion Policy Statement. Bethesda, Md: National Institutes of Health, U.S. Department of Health and Human Services; December 19, 2014. http://edi.nih.gov/sites/default/files/.public/EDI-Public-files/policy/eeodm-06. pdf. Accessed February 25, 2016.
24. Ruggles S, Alexander JT, Genadek K, Goeken R. Integrated Public Use Microdata Series [Machine-readable database]. Version 5.0. Minneapolis, Minn; 2010.
25. Smith JP, Welch FR. Closing the Gap: Forty Years of Economic Progress for Blacks. Santa Monica, Calif: Rand Corporation; 1986.
26. Myers SL Jr. The economics of diversity: The efficiency vs. equity trade-off. In: Chen S, ed. Diversity Management: Theoretical Perspectives and Practical Approaches. Hauppauge, NY: Nova Science Publishers; 2011.
27. Myers SL Jr. The economics of diversity. In: Johnson NJ, Svara JH, eds. Justice for All: Promoting Social Equity in Public Administration. Armonk, NY: M.E. Sharpe; 2011.
28. Darity WA Jr, Myers SL Jr. Black Economic Progress: A Case Against the Dramatic Improvement Hypothesis. Madison, Wisc: University of Wisconsin-Madison Institute for Research on Poverty; 1980. Discussion paper no. 613-80.
29. U.S. Census Bureau. American Community Survey: Multiyear accuracy of the data (3-year 2010-2012 and 5-year 2008-2012). http://www2.census.gov/.programs-surveys/acs/tech-docs/accuracy/.MultiyearACSAccuracyofData2012.pdf. Published October 28, 2013. Accessed February 25, 2016.
30. Altman DG, Bland JM. Interaction revisited: The difference between two estimates. BMJ. 2003; 326: 219.
31. Browne KR. Statistical proof of discrimination: Beyond damned lies. Wash Law Rev. 1993; 68: 477, 484-503.