Skip to main content
Log in

Preparing Medical Students to Address the Needs of Vulnerable Patient Populations: Implicit Bias Training in US Medical Schools

  • Short communication
  • Published:
Medical Science Educator Aims and scope Submit manuscript

Abstract

Little is known about how medical students are trained to identify and reduce their own biases toward vulnerable patient groups. A survey was conducted among US medical schools to determine whether their curricula addressed physician implicit biases toward three vulnerable patient groups: lesbian, gay, bisexual, transgender, and questioning (LGBTQ) individuals, persons experiencing homelessness, and migrant farmworkers. Of 141 US medical schools, 71 (50%) responded. Survey respondents indicated that implicit bias is not routinely addressed in medical education, and training specific to vulnerable populations is infrequent. Recommendations for incorporating implicit bias training in medical school curricula are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Waisel DB. Vulnerable populations in healthcare. Curr Opin Anesthesiol. 2013;26(2):186–92.

    Google Scholar 

  2. Bellini LM, Baime M, Shea JA. Variation of mood and empathy during internship. JAMA. 2002;287(23):3143–6.

    Google Scholar 

  3. Dovidio JF, Fiske ST. Under the radar: how unexamined biases in decision-making processes in clinical interactions can contribute to health care disparities. Am J Pub Health. 2012;102(5):945–52.

    Google Scholar 

  4. Khan A, Plummer D, Hussain R, Minichiello V. Does physician bias affect the quality of care they deliver? Evidence in the care of sexually transmitted infections. Sex Transm Infect. 2008;84(2):150–1.

    Google Scholar 

  5. Greenwald AG, Banaji MR. Implicit social cognition: attitudes, self-esteem, and stereotypes. Psychol Rev. 1995;102(1):4–27.

    Google Scholar 

  6. van Ryn M, Saha S. Exploring unconscious bias in disparities research and medical education. JAMA. 2011;306(9):995–6.

    Google Scholar 

  7. Burgess D, van Ryn M, Dovidio J, Saha S. Reducing racial bias among health care providers: lessons from social-cognitive psychology. J Gen Intern Med. 2007;22(6):882–7.

    Google Scholar 

  8. FitzGerald C, Hurst S. Implicit bias in healthcare professionals: a systematic review. BMC Med Ethics. 2017;18(1):19.

    Google Scholar 

  9. Shavers VL, Fagan P, Jones D, Klein WMP, Boyington J, Moten C, et al. The state of research on racial/ethnic discrimination in the receipt of health care. Am J Public Health. 2012;102(5):953–66.

    Google Scholar 

  10. Chapman EN, Kaatz A, Carnes M. Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities. J Gen Intern Med. 2013;28(11):1504–10.

    Google Scholar 

  11. Kitts RL. Barriers to optimal care between physicians and lesbian, gay, bisexual, transgender, and questioning adolescent patients. J Homosex. 2010;57(6):730–47.

    Google Scholar 

  12. Obedin-Maliver J, Goldsmith ES, Stewart L, White W, Tran E, Brenman S, et al. Lesbian, gay, bisexual, and transgender-related content in undergraduate medical education. JAMA. 2011;306(9):971–7.

    Google Scholar 

  13. Morris MC, Cooper RL, Ramesh A, Tabatabai M, Arcury TA, Shinn M, et al. Training to reduce LGBTQ-related bias among medical students: a systematic review. Manuscript under review.

  14. Institute of Medicine. Collecting sexual orientation and gender identity data in electronic health records: workshop summary. Washington DC: National Academy of Sciences; 2013.

    Google Scholar 

  15. Quinn GP, Sanchez JA, Sutton SK, Vadaparampil ST, Nguyen GT, Green BL, et al. Cancer and lesbian, gay, bisexual, transgender/transsexual, and queer/questioning (LGBTQ) populations. CA-Cancer J Clin. 2015;65(5):384–400.

    Google Scholar 

  16. Dilley JA, Simmons KW, Boysun MJ, Pizacani BA, Stark MJ. Demonstrating the importance and feasibility of including sexual orientation in public health surveys: health disparities in the Pacific northwest. Am J Public Health. 2010;100(3):460–7.

    Google Scholar 

  17. Bauermeister J, Eaton L, Stephenson R. A multilevel analysis of neighborhood socioeconomic disadvantage and transactional sex with casual partners among young men who have sex with men living in metro detroit. Behav Med. 2016;42(3):197–204.

    Google Scholar 

  18. Remafedi G, French S, Story M, Resnick MD, Blum R. The relationship between suicide risk and sexual orientation: results of a population-based study. Am J Public Health. 1998;88(1):57–60.

    Google Scholar 

  19. Burke SE, Dovidio JF, Przedworski JM, Hardeman RR, Perry SP, Phelan SM, et al. Do contact and empathy mitigate Bias against gay and lesbian people among heterosexual first-year medical students? A report from the medical student CHANGE study. Acad Med. 2015;90(5):645–51.

    Google Scholar 

  20. Sabin JA, Riskind RG, Nosek BA. Health care providers’ implicit and explicit attitudes toward lesbian women and gay men. Am J Public Health. 2015;105(9):1831–41.

    Google Scholar 

  21. Tracy JK, Lydecker AD, Ireland L. Barriers to cervical cancer screening among lesbians. J Women’s Health. 2010;19(2):229–37.

    Google Scholar 

  22. Simpson TL, Balsam KF, Cochran BN, Lehavot K, Gold SD. Veterans administration health care utilization among sexual minority veterans. Psychol Serv. 2013;10(2):223–32.

    Google Scholar 

  23. Grossman AH, D’Augelli AR. Transgender youth: invisible and vulnerable. J Homosex. 2006;51(1):111–28.

    Google Scholar 

  24. Bartos SE, Berger I, Hegarty P. Interventions to reduce sexual prejudice: a study-space analysis and meta-analytic review. J Sex Res. 2014;51(4):363–82.

    Google Scholar 

  25. Nosek BA, Smyth FL, Hansen JJ, Devos T, Lindner NM, Ranganath KA, et al. Pervasiveness and correlates of implicit attitudes and stereotypes. Eur Rev Soc Psychol. 2007;18:36–88.

    Google Scholar 

  26. Henry M, Mahathey A, Morrill T, Robinson A, Shivji A, Watt R. The 2018 annual homeless assessment report (AHAR) to congress. Part 1: point-in-time estimates of homelessness. Washington, DC: U.S. Department of Housing and Urban Development, Office of Community Planning and Development; 2018.

    Google Scholar 

  27. Henry M, Bishop K, de Sousa T, Shivji A, Watt R. The 2017 annual homeless assessment report (AHAR) to congress. Part 2: estimates of homelessness in the United States. Washington, DC: U.S. Department of Housing and Urban Development, Office of Community Planning and Development; 2018.

    Google Scholar 

  28. Kang Y, Gray JR, Dovidio JF. The nondiscriminating heart: lovingkindness meditation training decreases implicit intergroup bias. J Exp Psychol Gen. 2014;143(3):1306–13.

    Google Scholar 

  29. Nickasch B, Marnocha SK. Healthcare experiences of the poor. J Am Acad Nurse Prac. 2009;2:39–44.

    Google Scholar 

  30. Woith WM, Kerber C, Astroth KS, Jenkins SH. Lessons from the homeless: civil and uncivil interactions with nurses, self-care behaviors, and barriers to care. Nurs Forum. 2016;52(3):211–20.

    Google Scholar 

  31. Dawson A, Jackson D. The primary health care service experiences and needs of homeless youth: a narrative synthesis of current evidence. Contemp Nurse. 2013;44(1):62–75.

    Google Scholar 

  32. Irestig R, Burstrom K, Wessel M, Lynoe N. How are homeless people treated in the healthcare system and other social institutions? Study of their experiences and trust. Scand J Public Health. 2010;38:225–31.

    Google Scholar 

  33. Martins D. Experiences of homeless people in the healthcare delivery system: a descriptive phenomenological study. Public Health Nurs. 2008;25:420–36.

    Google Scholar 

  34. Okuyemi KS, Caldwell AR, Thomas JL, Born W, Richter KP, Nollen N, et al. Homelessness and smoking cessation: insights from focus groups. Nicotine Tob Res. 2006;8:287–96.

    Google Scholar 

  35. Fazel S, Geddes JR, Kushel M. The health of homeless people in high-income countries: descriptive epidemiology, health consequences, and clinical and policy rcommendations. Lancet. 2014;384:1529–40.

    Google Scholar 

  36. Lebrun-Harris L, Baggett T, Jenkins D, Sripipatana A, Sharma R, Hayasi S, et al. Health status and health care experiences among homeless patients in federally supported health centers: findings from the 2009 patient survey. Health Research and Educational Trust. 2013;48:992–1017.

    Google Scholar 

  37. Bernstein RS, Meurer LN, Plumb EJ, Jackson JL. Diabetes and hypertension prevalence in homeless adults in the United States: a systematic review and meta-analysis. Am J Public Health. 2015;105(2):e46–61.

    Google Scholar 

  38. Seiler A, Moss V. The experiences of nurse practitioners providing healthcare to the homeless. J Am Acad Nurse Prac. 2012;24:303–12.

    Google Scholar 

  39. Lee TC, Hanlon JG, Ben-David J, et al. Risk factors for cardiovascular disease in homeless adults. Circulation. 2005;111:2629–35.

    Google Scholar 

  40. Fazel S, Khosla V, Doll H, Geddes J. The prevalence of mental disorders among the homeless in western countries: systematic review and meta-regression analysis. PLoS Med. 2008;5:e225.

    Google Scholar 

  41. Baggett TP, Tobey ML, Rigotti NA. Tobacco use among homeless people—addressing the neglected addiction. N Engl J Med. 2013;369:201–4.

    Google Scholar 

  42. Hernandez T, Gabbard S, Carroll D. Findings from the national agricultural workers survey (NAWS) 2013–2014: a demographic and employment profile of United States farmworkers. Employment and Training Administration, Office of Policy, Development and Research: US Department of Labor; 2016.

    Google Scholar 

  43. Arcury TA, Trejo G, Suerken CK, Grzywacz JG, Ip EH, Quandt SA. Work and health among Latina mothers in farmworker families. J Occup Environ Med. 2015;57:292–9.

    Google Scholar 

  44. Arcury TA, Sandberg JC, Talton JB, Laurienti PJ, Daniel SS, Quandt SA. Mental health among Latina farmworkers and other employed Latinas in North Carolina. J Rural Mental Health. In press.

  45. Pulgar CA, Trejo G, Suerken CK, Ip EH, Arcury TA, Quandt SA. Economic hardship and depression among women in Latino farmworker families. J Immigr Minor Health. 2016;18:497–504.

    Google Scholar 

  46. Arcury TA, Quandt SA. Delivery of health services to migrant and seasonal farmworkers. Ann Rev Public Health. 2007;28:345–63.

    Google Scholar 

  47. Drewniak D, Krones T, Wild V. Do attitudes and behavior of heath care professional exacerbate health care disparities among immigrant and ethnic minority groups? An integrative literature review. Int J Nurs Studies. 2017;70:89–98.

    Google Scholar 

  48. Hall WJ, Chapman MV, Lee KM, Merino YM, Thomas TW, Payne BK, et al. Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: a systematic review. Am J Public Health. 2015 Dec;105(12):e60–76.

    Google Scholar 

  49. Hafferty FW. Beyond curriculum reform: confronting medicine’s hidden curriculum. Acad Med. 1998;73:403–7.

    Google Scholar 

  50. Zestcott CA, Blair IV, Stone J. Examining the presence, consequences, and reduction of implicit bias in health care: a narrative review. Group Proccess Interg. 2016;19(4):528–42.

    Google Scholar 

Download references

Funding

This project is supported by the Health Resources and Services Administration (HRSA) of the US Department of Health and Human Services (HHS) under grant number UH1HP30348, entitled “Academic Units for Primary Care Training and Enhancement.” This information or content and conclusions are those of the authors and should not be construed as the official position or policy of nor should any endorsements be inferred by HRSA, HHS, or the US Government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthew C. Morris.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflicts of interest.

Ethical Approval

All procedures involving human participants were in accordance with the ethical standards of the Meharry Medical College Institutional Review Board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Morris, M.C., Cooper, R.L., Ramesh, A. et al. Preparing Medical Students to Address the Needs of Vulnerable Patient Populations: Implicit Bias Training in US Medical Schools. Med.Sci.Educ. 30, 123–127 (2020). https://doi.org/10.1007/s40670-020-00930-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40670-020-00930-3

Keywords

Navigation