The Role of Intrinsic Motivation in the Pursuit of Health Science-Related Careers among Youth from Underrepresented Low Socioeconomic Populations

Abstract

A more diverse health science-related workforce including more underrepresented race/ethnic minorities, especially from low socioeconomic backgrounds, is needed to address health disparities in the USA. To increase such diversity, programs must facilitate youth interest in pursuing a health science-related career (HSRC). Minority youth from low socioeconomic families may focus on the secondary gains of careers, such as high income and status, given their low socioeconomic backgrounds. On the other hand, self-determination theory suggests that it is the intrinsic characteristics of careers which are most likely to sustain pursuit of an HSRC and lead to job satisfaction. Intrinsic and extrinsic motivation for pursuing an HSRC (defined in this study as health professional, health scientist, and medical doctor) was examined in a cohort of youth from the 10th to 12th grade from 2011 to 2013. The sample was from low-income area high schools, had a B- or above grade point average at baseline, and was predominantly: African American (65.7 %) or Hispanic (22.9 %), female (70.1 %), and children of foreign-born parents (64.7 %). In longitudinal general estimating equations, intrinsic motivation (but not extrinsic motivation) consistently predicted intention to pursue an HSRC. This finding provides guidance as to which youth and which qualities of HSRCs might deserve particular attention in efforts to increase diversity in the health science-related workforce.

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References

  1. 1.

    Bates BR, Harris TM. The Tuskegee Study of Untreated Syphilis and public perceptions of biomedical research: a focus group study. J Natl Med Assoc. 2004; 96(8): 1051–64.

    PubMed Central  PubMed  Google Scholar 

  2. 2.

    Gabard DL. Increasing minority representation in the health care professions. J Allied Health. 2007; 36(3): 165–75.

    PubMed  Google Scholar 

  3. 3.

    Balogun JA, Sloan PE, Hardney K. Health professions career awareness program for seventh- and eighth-grade African-American students: a pilot study. J Allied Health. 2005; 34(4): 236–43.

    PubMed  Google Scholar 

  4. 4.

    National Research Council. Health professions education: a bridge to quality. http://www.nap.edu/openbook.php?record_id=10681. Accessed March 24, 2015.

  5. 5.

    Zayas LE, Mcguigan D. Experiences promoting healthcare career interest among high-school students from underserved communities. J Natl Med Assoc. 2006; 98(9): 1523–31.

    PubMed Central  PubMed  Google Scholar 

  6. 6.

    Winkleby MA. The Stanford Medical Youth Science Program: 18 years of a biomedical program for low-income high school students. Acad Med. 2007; 82(2): 139–45.

    Article  PubMed  Google Scholar 

  7. 7.

    Tai RH, Qi Liu C, Maltese AV, Fan X, Career choice. Planning early for careers in science. Science. 2006; 312(5777): 1143–44.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Ricketts TC, Fraher EP. Reconfiguring health workforce policy so that education, training, and actual delivery of care are closely connected. Health Aff (Millwood). 2013; 32(11): 1874–80.

    Article  Google Scholar 

  9. 9.

    Alberts B, Kirschner MW, Tilghman S, Varmus H. Rescuing US biomedical research from its systemic flaws. Proc Natl Acad Sci USA. 2014; 111(16): 5773–7.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  10. 10.

    Zhang L, Barnett M. How high school students envision their STEM career pathways. Cult Stud Sci Educ. 2014; 1–20.

  11. 11.

    Fraleigh-Lohrfink K, Schneider MV, Whittington D, Feinberg AP. Increase in science research commitment in a didactic and laboratory-based program targeted to gifted minority high-school students. Roeper Rev. 2013; 35(1): 18–26.

    Article  Google Scholar 

  12. 12.

    Wiswall M, Stiefel L, Schwartz AE, Boccardo J. Does attending a STEM high school improve student performance? Evidence from New York City. Econ Educ Rev. 2014; 40: 93–105.

    Article  Google Scholar 

  13. 13.

    Todaro A, Washington S, Boekeloo BO, Gilchrist B, Wang MQ. Relationship of personal health experiences with interest in health careers among youth from an underserved area. J Allied Health. 2013; 42(3): 135–40.

    PubMed Central  Google Scholar 

  14. 14.

    Zebrak, KA, Le, D, Boekeloo, BO, Wang, MQ. Predictors of intent to pursue a college health science education among high achieving minority 10th graders. Current Issues in Education. 2013; 16(2):Retrieved from http://cie.asu.edu/ojs/index.php/cieatasu/article/view/1179. Accessed 11 Sept 2015

  15. 15.

    Twenge J, Campbell S, Hoffman B, Lance C. Generational differences in work values: leisure and extrinsic values increasing, social and intrinsic values decreasing. J Manag. 2010; 36(5): 1117–42.

    Google Scholar 

  16. 16.

    Twenge J, Campbell K, Freeman E. Generational differences in young adults’ life goals, concern for others, and civic orientation, 1966–2009. J Pers Soc Psychol. 2012; 102(5): 1045–62.

    Article  PubMed  Google Scholar 

  17. 17.

    Sadler PM, Sonnert G, Hazari Z, Tai R. Stability and volatility of STEM career interest in high school: a gender study. Sci Educ. 2012; 96(3): 411–27.

    Article  Google Scholar 

  18. 18.

    Metcalf, H. Stuck in the pipeline: a critical review of STEM workforce literature. InterActions: UCLA Journal of Education and Information Studies. 2010;6(2).

  19. 19.

    Galama, T, Hosek, JR. U.S. Competitiveness in science and technology. Santa Monica, CA: RAND Corporation.

  20. 20.

    Rothstein J, Rouse CE. Constrained after college: student loans and early-career occupational choices. J Public Econ. 2011; 95(1): 149–63.

    Article  Google Scholar 

  21. 21.

    Greenhalgh T, Seyan K, Boynton P. “Not a university type”: focus group study of social class, ethnic, and sex differences in school pupils’ perceptions about medical school. Br Med J. 2004; 328(1541): 1–6.

    Google Scholar 

  22. 22.

    Prospero M, Russell A, Vohra-Gupta S. Effects of motivation on educational attainment: ethnic and developmental differences among first-generation students. J Hisp High Educ. 2012; 11(1): 100–19.

    Article  Google Scholar 

  23. 23.

    Vallerand RJ, Pelletier LG, Blais MR, Briere NM, Senecal C, Vallieres EF. The Academic Motivation Scale: a measure of intrinsic, extrinsic, and motivation in education. Educ Psychol Meas. 1992; 52(4): 1003–17.

    Article  Google Scholar 

  24. 24.

    Hazari Z, Sonnert G, Sadler PM, Shanahan M. Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: a gender study. J Res Sci Teach. 2010; 47(8): 978–1003.

    Google Scholar 

  25. 25.

    Correll S. Gender and the career choice process: the role of biased self-assessments. Am J Sociol. 2001; 106(6): 1691–1730.

    Article  Google Scholar 

  26. 26.

    Eccles J. Gendered educational and occupational choices: applying the Eccles et al. model of achievement-related choices. Int J Behav Dev. 2011; 35(3): 195–201.

    Article  Google Scholar 

  27. 27.

    Bruner J. On knowing. Cambridge, MA: Belkapp Press; 1962.

    Google Scholar 

  28. 28.

    Bruner J. Toward a theory of instruction. Cambridge, MA: Belkapp Press; 1966.

    Google Scholar 

  29. 29.

    Hunt JM. Intelligence and experience. New York, NY: The Ronald Press Company; 1961.

    Google Scholar 

  30. 30.

    Hunt JM. Intrinsic motivation and its role in psychological development. Neb Symp Motiv. 1965; 13: 189–282.

    Google Scholar 

  31. 31.

    Lepper MR, Sethi S, Dialdin D, Drake M. Intrinsic and extrinsic motivation. A developmental perspective. In: Luthar SS, Burack JA, Cicchetti D, Weisz JR, eds. Developmental psychopathology: perspectives on adjustment, risk, and disorder. New York, NY: Cambridge University Press; 1997.

    Google Scholar 

  32. 32.

    Deci EL. The psychology of self-determination. Lexington, MA: D. C. Heath (Lexington Books); 1998.

    Google Scholar 

  33. 33.

    Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. New York, New York: Plenum; 1985.

  34. 34.

    Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000; 55: 68–78.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Deci EL, Ryan RM. A motivational approach to self: integration in personality. Neb Symp Motiv. 1991; 38: 237–88.

    Google Scholar 

  36. 36.

    Sheldon KM, Ryan RM, Rawsthorne L, Ilardi B. Trait self and true elf: cross-role variation in the Big Five traits and its relations with authenticity and subjective well-being. J Pers Soc Psychol. 1997; 73: 1380–93.

    Article  Google Scholar 

  37. 37.

    Boekeloo B, Randolph S, Timmons-Brown S, Wang MQ. Perceptions of High Achieving African American/Black 10th Graders from a low socioeconomic community regarding health scientists and desired careers. J Allied Health. 2014; 43(3): 133–9.

    PubMed Central  PubMed  Google Scholar 

  38. 38.

    May FE, Champion V, Austin JK. Public values and beliefs toward nursing as a career. J Nurs Educ. 1990; 29: 26–30.

    Google Scholar 

  39. 39.

    Palumbo MV, Rambur B, Mcintosh B, Naud S. Perceptions of an ideal career versus perceptions of six health careers. J Allied Health. 2008; 37(1): 8–16.

    PubMed  Google Scholar 

  40. 40.

    Nunnally J. Psychometric methods. New York: NY. McGraw-Hill; 1978.

    Google Scholar 

  41. 41.

    McCullagh P, Nelder JA. Generalized linear models. London: UK. Chapman and Hall/CRC; 1989.

    Book  Google Scholar 

  42. 42.

    Liang K, Zeger S. Longitudinal data analysis using generalized linear models. Biometrika. 1986; 73(1): 13–22.

    Article  Google Scholar 

  43. 43.

    Diggle PJ, Liang K, Zeger S. Analysis of longitudinal data. Bethesda: MD. Oxford University Press; 1994.

    Google Scholar 

  44. 44.

    Guiffrida DA, Lynch MF, Wall AF, Abel DS. Do reasons for attending college affect academic outcomes?: a test of a motivational model from a self-determination theory perspective. J Coll Stud Dev. 2013; 54(2): 121–139.

    Article  Google Scholar 

  45. 45.

    Chalofsky N, Krishna V. Meaningfulness, commitment, and engagement: the intersection of a deeper level of intrinsic motivation. Adv Dev Hum Resour. 2009; 11(2): 189–203.

    Article  Google Scholar 

  46. 46.

    Lazauskaite-Zabielske, Jurgita, Ieva Urbanaviciute, and Dalia Bagdziuniene. “The role of prosocial and intrinsic motivation in employees’ citizenship behaviour.” Baltic Journal of Management 10.3 (2015).

  47. 47.

    Grant, Adam M. “Does intrinsic motivation fuel the prosocial fire? Motivational synergy in predicting persistence, performance, and productivity.” Journal of applied psychology 93.1 (2008): 48.

  48. 48.

    Yan Y, Davison RM. Exploring behavioral transfer from knowledge seeking to knowledge contributing: the mediating role of intrinsic motivation. J Am Soc Inf Sci Technol. 2013; 64(6): 1144–1157.

    Article  Google Scholar 

  49. 49.

    Sadler PM, Sonnert G, Hazari Z, Tai R. Stability and volatility of STEM career interest in high school: a gender study. Sci Educ. 2012; 96(3): 411–27.

    Article  Google Scholar 

  50. 50.

    Miller PH, Slawinski Blessing J, Schwartz S. Gender differences in high-school students’ views about science. Int J Sci Educ. 2006; 28(4): 363–81.

    Article  Google Scholar 

  51. 51.

    Yakushko O, Backhaus A, Watson M, Ngaruiya K, Gonzalez J. Career development concerns of recent immigrants and refugees. J Career Dev. 2008; 34(4): 362–96.

    Article  Google Scholar 

  52. 52.

    Conchas GQ. Structuring failure and success: understanding the variability in Latino school engagement. Harv Educ Rev. 2001; 71(3): 475–505.

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the Prince George’s County Public School administrators, teachers, parents, and students who contributed so thoughtfully to this project.

Funding/Support

This project was supported by a grant from the National Institute of General Medical Sciences, #R01GM094574 and a cooperative agreement from the Centers for Disease Control and Prevention, Prevention Research Centers Program, #U48DP001929.

Other Disclosures

Not applicable.

Ethical Approval

The protocol for student recruitment and baseline data collection for this project was approved by the Prince George’s County Public Schools in a letter from the Director, Department of Research and Evaluation dated December 21, 2010. The protocol for student recruitment as well as all aspects participation of human subjects over the course of this study was monitored and approved by the University of Maryland Institutional Review Board (Project No. 328262).

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Opinions expressed herein are solely those of the authors and may not reflect those of the supporting agencies.

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Correspondence to Bradley O. Boekeloo.

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Boekeloo, B.O., Jones, C., Bhagat, K. et al. The Role of Intrinsic Motivation in the Pursuit of Health Science-Related Careers among Youth from Underrepresented Low Socioeconomic Populations. J Urban Health 92, 980–994 (2015). https://doi.org/10.1007/s11524-015-9987-7

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Keywords

  • African American and Hispanic youth career decision-making
  • Achieving diversity in the health science workforce
  • Motivation for health science among youth
  • Workforce to address health disparities
  • Biomedical and health science career choice