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ORIGINAL RESEARCH

A Comparison of the Academic Achievement at the End of the Medicine Undergraduate Degree Program Between Students Who Only Used the University Admission Test and Those Who Used the University Admission Test Plus Marks from the High School National Exam (ENEM) at a Single Brazilian Center

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Pages 1185-1190 | Received 30 Jun 2023, Accepted 07 Oct 2023, Published online: 21 Oct 2023

References

  • Kraft HG, Lamina C, Klukner T, Wild C, Prodinger WM. Paradise lost or paradise regained? Changes in admission system affect academic performance and drop-out rates of medical students. Med Teach. 2013;35(5):e1123–e1129. doi:10.3109/0142159X.2012.733835
  • Patterson F, Knight A, Dowel J, Nicholson S, Cousans F, Cleland J. How effective are selection methods in medical education? A systematic review. Med Educ. 2016;50(1):36–60. doi:10.1111/medu.12817
  • Hissbach JC, Klusmann D, Hampe W. Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission. BMC Med Educ. 2011;11(1):83. doi:10.1186/1472-6920-11-83
  • Bestetti RB, Couto LB, Roncato-Paiva P, et al. University admission test associates with academic performance at the end of medical course in a PBL medical hybrid curriculum. Adv Med Educ Pract. 2020;11:579–585. doi:10.2147/AMEP.S255732
  • McManus IC, Dewberry C, Nicholson S, Dowell JS. The UKCAT-12 study: educational attainment, aptitude test performance, demographic and socio-economic contextual factors as predictors of first year outcome in a cross-sectional collaborative study of 12 UK medical schools. BMC Med. 2013;11(1):244. doi:10.1186/1741-7015-11-244
  • O’Neill L, Hartvigsen J, Wallstedt B, Korsholm L, Eika B. Medical school dropout- testing at admission versus selection by highest grades as predictors. Med Educ. 2011;45(11):1111–1120. doi:10.1111/j.1365-2923.2011.04057.x
  • Urlings-Strop L, Stegers-Jager K, Stijnen T, Themmen APN. Academic and non-academic selection criteria in predicting medical school performance. Med Teach. 2013;35(6):497–502. doi:10.3109/0142159X.2013.774333
  • Nota do ENEM seleciona 57% dos alunos do ensino superior público (in Portuguese) [homepage on the Internet]. São Paulo: estadão conteúdo; 2017. Available from: https://exame.com/brasil/nota-do-enem-seleciona-57-dos-alunos-do-ensino-superior-publico/. Accessed August 23, 2023.
  • Bestetti RB, Couto LB, Romão GS, Araújo GT, Restini CBA. Contextual considerations in implementing problem-based learning approaches in a Brazilian medical curriculum: the UNAERP experience. Med Educ Online. 2014;19(1):24366. doi:10.3402/meo.v19.24366
  • Couto LB, Romão GS, Bestetti RB. Good teacher, good tutor. Adv Med Educ Pract. 2016;7:377–380. doi:10.2147/AMEP.S110449
  • Couto LB, Bestetti RB, Romão GS, et al. Brazilian medical students’ perceptions of experts versus non-experts facilitators in a (non) problem-based environment. Med Educ Online. 2015;20(1):26893. doi:10.3402/meo.v20.26893
  • Schmidt HG. Problem-based learning: rationale and description. Med Educ. 1983;17(1):11–16. doi:10.1111/j.1365-2923.1983.tb01086.x
  • Bestetti RB, Couto LB, Romão GS, et al. Assessment test before the reporting phase of tutorial session in problem-based learning. Adv Med Educ Pract. 2017;8:181–187. doi:10.2147/AMEP.S125247
  • Romão GS, Bestetti RB, Couto LB. Problem-based learning in primary care at University of Ribeirão Preto (UNAERP) in Brazil. Adv Med Educ Pract. 2018;9:27–30. doi:10.2147/AMEP.S157071
  • Couto LB, Durand MT, Wollf ACD, et al. Formative assessment scores in tutorial sessions correlate with OSCE and progress testing scores in a PBL medical curriculum. Med Educ Online. 2019;24(1):1560862. doi:10.1080/10872981.2018.1560862
  • Simpson PL, Scicluna HA, Jones PD, et al. Predictive validity of a new integrated selection process for Medical School admission. BMC Med Educ. 2014;14(1):86. doi:10.1186/1472-6920-14-86
  • Trost G, Nauels HU, Klieme E. The relationship between different criteria for admission to medical school and student’s success. Assess Educ Princ Pol Pract. 1998;5(2):247–254.
  • Fergusson E, James D, O’Hehir F, Sanders A, McManus IC. Pilot study of the roles of personality, references, and personal statements in relation to performance over the five years of a medical degree. BMJ. 2003;326(7386):429–432. doi:10.1136/bmj.326.7386.429
  • Sartania N, Mclure JD, Sweeting H, Browitt A. Predictive power of UKCAT and other pre-admission measures for performance in a medical school in Glasgow: a cohort study. BMC Med Educ. 2014;14(1):116. doi:10.1186/1472-6920-14-116
  • Husbands A, Mathieson A, Dowell J, Cleland J, MacKenzie R. Predictive validity of the UK clinical aptitude test in the final years of medical school: a prospective cohort study. BMJ Med Educ. 2014;14(1):88. doi:10.1186/1472-6920-14-88
  • Al-Rukban MO, Munshi FM, Abdulghani HM, Al-Hoqail I. The ability of the pre-admission criteria to predict performance in a Saudi medical school. Saudi Med J. 2010;31(5):560–564.
  • Tektas OY, Fiessler C, Mayr A, Neuhuber W, Paulsen F. Correlation of high school exam grades with study success at a German medical school. J Contemp Med Educ. 2013;1(3):157–162. doi:10.5455/jcme.20130311114703