DOI QR코드

DOI QR Code

Ethically Related Decisions in Different Scenarios of Medical School Applicants for Graduate-Entry Program

가상시나리오를 활용한 의과대학 학사편입학 지원자의 윤리적 의사결정능력

  • Kim, Do-Hwan (Department of Medical Education, Seoul National University College of Medicine) ;
  • Kim, Eun Jeong (Department of Medical Education, Seoul National University College of Medicine) ;
  • Hwang, Jinyoung (Department of Medical Education, Seoul National University College of Medicine) ;
  • Shin, Jwa-Seop (Department of Medical Education, Seoul National University College of Medicine) ;
  • Lee, Seunghee (Department of Medical Education, Seoul National University College of Medicine)
  • 김도환 (서울대학교 의과대학 의학교육학교실) ;
  • 김은정 (서울대학교 의과대학 의학교육학교실) ;
  • 황진영 (서울대학교 의과대학 의학교육학교실) ;
  • 신좌섭 (서울대학교 의과대학 의학교육학교실) ;
  • 이승희 (서울대학교 의과대학 의학교육학교실)
  • Received : 2016.03.15
  • Accepted : 2016.06.20
  • Published : 2016.06.30

Abstract

Assessment tools for non-academic qualities such as ethics frequently employ hypothetical scenarios to lay out a contextual framework underlying the corresponding criteria of assessment. Due to the context-specific nature of the assessment criteria, details of the scenarios become very important in obtaining accurate results. This study aims to explore how medical school applicants differ in ethical decision making depending on the types of ethical dilemma scenarios, and how they correlate with academic achievements after admission. In 2014, all 82 applicants invited for an admission interview for a graduate-entry program were asked to complete a questionnaire comprised of 13 hypothetical scenarios. There were three domains (unethical business decisions, unethical academic decisions, and sexual quid pro quos) and participants were made to choose between the profitable-but-unethical choice or the unprofitable-but-ethical choice, using a four-point Likert-type scale. On average, tendencies toward unethical decisions were lowest for sexual favors ($1.34{\pm}0.46$), and highest for gaining academic advantages ($2.22{\pm}0.56$). Unethical decisions for academic advantages and sexual benefits showed significant correlation respectively with the female gender and those who graduated from overseas universities. In addition, the propensity for choosing unethical academic decisions was significantly correlated with high academic achievements in medical school (r=0.396). Not only does this study demonstrate that different levels of ethical decision making depend on the scenarios, but also those differences may be a determinant factor in subsequent academic performances in medical school. In conclusion, given the possible influence of the details of the hypothetical scenarios to the applicant's responses, careful consideration must be given during their development.

Keywords

References

  1. Ashton, M. C., & Lee, K. (2008). The prediction of honesty-humility-related criteria by the HEXACO and five-factor models of personality. J Res Pers, 42(5), 1216-1228. https://doi.org/10.1016/j.jrp.2008.03.006
  2. Bland, J. M., & Altman, D. G. (1997). Cronbach’s alpha. BMJ, 314(7080), 572. https://doi.org/10.1136/bmj.314.7080.572
  3. Bore, M., Munro, D., & Powis, D. (2009). A comprehensive model for the selection of medical students. Med Teach, 31(12), 1066-1072. https://doi.org/10.3109/01421590903095510
  4. Choi, J., Son, S. L., Kim, S. H., Kim, H., Hong, J. Y., & Lee, M. S. (2015). The prevalence of burnout and the related factors among some medical students in Korea. Korean J Med Educ, 27(4), 301-308. https://doi.org/10.3946/kjme.2015.27.4.301
  5. Cox, M., Irby, D. M., Stern, D. T., & Papadakis, M. (2006). The developing physician: Becoming a professional. N Engl J Med, 355(17), 1794-1799. https://doi.org/10.1056/NEJMra054783
  6. Englander, R., Cameron, T., Ballard, A. J., Dodge, J., Bull, J., & Aschenbrener, C. A. (2013). Toward a common taxonomy of competency domains for the health professions and competencies for physicians. Acad Med, 88(8), 1088-1094. https://doi.org/10.1097/ACM.0b013e31829a3b2b
  7. Eva, K. W. (2003). On the generality of specificity. Med Educ, 37(7), 587-588. https://doi.org/10.1046/j.1365-2923.2003.01563.x
  8. Eva, K. W., & Macala, C. (2014). Multiple mini-interview test characteristics: ‘Tis better to ask candidates to recall than to imagine. Med Educ, 48(6), 604-613. https://doi.org/10.1111/medu.12402
  9. Eva, K. W., Rosenfeld, J., Reiter, H. I., & Norman, G. R. (2004). An admissions OSCE: The multiple mini-interview. Med Educ, 38(3), 314-326. https://doi.org/10.1046/j.1365-2923.2004.01776.x
  10. Keller, A. C., Smith, K. T., & Smith, L. M. (2007). Do gender, educational level, religiosity, and work experience affect the ethical decision-making of US accountants? Crit Perspect Account, 18(3), 299-314. https://doi.org/10.1016/j.cpa.2006.01.006
  11. Kim, D. H., Hwang, J., Kim, E. J., Yoon, H. B., Shin, J. S., & Lee, S. (2014). How different are premedical freshmen who enter after introducing a multiple mini-interview in a medical school? Korean J Med Educ, 26(2), 87-98. https://doi.org/10.3946/kjme.2014.26.2.87
  12. Kim, D. H., Kim, E. J., Hwang, J., Shin, J. S., & Lee, S. (2015). What is the current orientation of undergraduate medical education in Korea? Korean J Med Educ, 27(2), 87-98. https://doi.org/10.3946/kjme.2015.27.2.87
  13. Knorr, M., & Hissbach, J. (2014). Multiple mini-interviews: Same concept, different approaches. Med Educ, 48(12), 1157-1175. https://doi.org/10.1111/medu.12535
  14. Kobayashi, E., & Fukushima, M. (2012). Gender, social bond, and academic cheating in Japan. Sociol Inq, 82(2), 282-304. https://doi.org/10.1111/j.1475-682X.2011.00402.x
  15. Koenig, T. W., Parrish, S. K., Terregino, C. A., Williams, J. P., Dunleavy, D. M., & Volsch, J. M. (2013). Core personal competencies important to entering students' success in medical school: what are they and how could they be assessed early in the admission process? Acad Med, 88(5), 603-613. https://doi.org/10.1097/ACM.0b013e31828b3389
  16. Lee, K., & Ashton, M. C. (2004). Psychometric properties of the HEXACO personality inventory. Multivar Behav Res, 39(2), 329-358. https://doi.org/10.1207/s15327906mbr3902_8
  17. Lim, V. K., & See, S. K. (2001). Attitudes toward, and intentions to report, academic cheating among students in Singapore. Ethics Behav, 11(3), 261-274. https://doi.org/10.1207/S15327019EB1103_5
  18. Loewenstein, G., Sah, S., & Cain, D. M. (2012). The unintended consequences of conflict of interest disclosure. JAMA, 307(7), 669-670. https://doi.org/10.1001/jama.2012.154
  19. Lowe, M., Kerridge, I., Bore, M., Munro, D., & Powis, D. (2001). Is it possible to assess the "ethics" of medical school applicants? J Med Ethics, 27(6), 404-408. https://doi.org/10.1136/jme.27.6.404
  20. Nonis, S., & Swift, C. O. (2001). An examination of the relationship between academic dishonesty and workplace dishonesty: A multicampus investigation. J Educ Bus, 77(2), 69-77. https://doi.org/10.1080/08832320109599052
  21. O’Fallon, M. J., & Butterfield, K. D. (2005). A review of the empirical ethical decision-making literature: 1996-2003. J Bus Ethics, 59(4), 375-413. https://doi.org/10.1007/s10551-005-2929-7
  22. Okazaki, S. (2002). Influences of culture on Asian Americans’ sexuality. J Sex Res, 39(1), 34-41. https://doi.org/10.1080/00224490209552117
  23. Patterson, F., Ashworth, V., Zibarras, L., Coan, P., Kerrin, M., & O’Neill, P. (2012). Evaluations of situational judgement tests to assess nonacademic attributes in selection. Med Educ, 46(9), 850-868. https://doi.org/10.1111/j.1365-2923.2012.04336.x
  24. Pau, A., Jeevaratnam, K., Chen, Y. S., Fall, A. A., Khoo, C., & Nadarajah, V. D. (2013). The multiple mini-interview (MMI) for student selection in health professions training: A systematic review. Med Teach, 35(12), 1027-1041. https://doi.org/10.3109/0142159X.2013.829912
  25. Poole, G. (2012). The culturally sculpted self in self-directed learning. Med Educ, 46(8), 735-737. https://doi.org/10.1111/j.1365-2923.2012.04312.x
  26. Rennie, S., & Rudland, J. (2003). Differences in medical students’ attitudes to academic misconduct and reported behaviour across the years: A questionnaire study. J Med Ethics, 29(2), 97-102. https://doi.org/10.1136/jme.29.2.97
  27. Roh, M. S., Jeon, H. J., Kim, H., Han, S. K., & Hahm, B. J. (2010). The prevalence and impact of depression among medical students: A nationwide cross-sectional study in South Korea. Acad Med, 85(8), 1384-1390. https://doi.org/10.1097/ACM.0b013e3181df5e43
  28. Simkin, M. G., & McLeod, A. (2010). Why do college students cheat?. J Bus Ethics, 94(3), 441-453. https://doi.org/10.1007/s10551-009-0275-x
  29. Sobral, D. T. (2004). What kind of motivation drives medical students’ learning quests?. Med Educ, 38(9), 950-957. https://doi.org/10.1111/j.1365-2929.2004.01913.x
  30. Swick, H. M. (2000). Toward a normative definition of medical professionalism. Acad Med, 75(6), 612-616. https://doi.org/10.1097/00001888-200006000-00010
  31. Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. Int J Med Educ, 2, 53. https://doi.org/10.5116/ijme.4dfb.8dfd
  32. Taylor, P. J., & Small, B. (2002). Asking applicants what they would do versus what they did do: A meta-analytic comparison of situational and past behaviour employment interview questions. J Occup Organ Psychol, 75(3), 277-294. https://doi.org/10.1348/096317902320369712
  33. Teherani, A., Hodgson, C. S., Banach, M., & Papadakis, M. A. (2005). Domains of unprofessional behavior during medical school associated with future disciplinary action by a state medical board. Acad Med, 80(10), S17-S20. https://doi.org/10.1097/00001888-200510001-00008
  34. Uijtdehaage, S., & Parker, N. (2011). Enhancing the reliability of the multiple mini-interview for selecting prospective health care leaders. Acad Med, 86(8), 1032-1039. https://doi.org/10.1097/ACM.0b013e3182223ab7
  35. Vengoechea, J., Moreno, S., & Ruiz, A. (2008). Misconduct in medical students. Dev World Bioeth, 8(3), 219-225. https://doi.org/10.1111/j.1471-8847.2007.00194.x
  36. Wilkinson, T. J., Wade, W. B., & Knock, L. D. (2009). A blueprint to assess professionalism: Results of a systematic review. Acad Med, 84(5), 551-558. https://doi.org/10.1097/ACM.0b013e31819fbaa2
  37. Zaidi, N. B., Swoboda, C., Wang, L. L., & Manuel, R. S. (2014). Variance in attributes assessed by the multiple mini-interview. Med Teach, 36(9), 794-798. https://doi.org/10.3109/0142159X.2014.909587