The American Journal of Medicine
Volume 122, Issue 9 , Pages 879-883 , September 2009

A Commentary on the Use of the Internal Medicine In-Training Examination

  • Helen Wang

      Affiliations

    • Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock
  • ,
  • Rebecca Nugent, PhD

      Affiliations

    • Department of Statistics, Carnegie Mellon University, Pittsburgh, Penn
  • ,
  • Connie Nugent, MLS

      Affiliations

    • Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock
  • ,
  • Kenneth Nugent, MD

      Affiliations

    • Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock
  • ,
  • Michael Phy, DO

      Affiliations

    • Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock
    • Corresponding Author InformationReprint requests should be addressed to Michael Phy, DO, Texas Tech University Health Sciences Center, 3601 4th Street, Lubbock, TX 79430

References 

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  2. Zamora J, Abraira V, Muriel A, et al. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol. 2006;6:31
  3. Garibaldi RA, Subhiyah R, Moore ME, Waxman H. The in-training examination in internal medicine: an analysis of resident performance over time. Ann Intern Med. 2002;137:505–510
  4. McDonald FS, Zeger SL, Kolars JC. Factors associated with medical knowledge acquisition during internal medicine residency. J Gen Intern Med. 2007;22:962–968
  5. McDonald FS, Zeger SL, Kolars JC. Associations of conference attendance with internal medicine in-training examination scores. Mayo Clin Proc. 2008;83:449–453
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  7. Babbott SF, Beasley BW, Hinchey KT, et al. The predictive validity of the internal medicine in-training examination. Am J Med. 2007;120:735–740
  8. Grossman RS, Fincher RM, Layne RD, et al. Validity of the in-training examination for predicting American Board of Internal Medicine certifying examination scores. J Gen Intern Med. 1992;7:63–67
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  10. Waxman H, Braunstein G, Dantzker D, et al. Performance on the internal medicine second-year residency in-training examination predicts the outcome of the ABIM certifying examination. J Gen Intern Med. 1994;9:692–694
  11. Grossman RS, Murata GH, Fincher RM, et al. Predicting performance on the American Board of Internal Medicine Certifying Examination: The effects of resident preparation and other factors. Crime Study Group. Acad Med. 1996;71(10 Suppl):S74–S76
  12. American Board of Internal Medicine. How exams are developed. http://www.abim.org/about/examInfo/developed.aspxAccessed May 21, 2009
  13. FitzGerald JD, Wenger NS. Didactic teaching conferences for IM residents: who attends, and is attendance related to medical certifying examination scores?. Acad Med. 2003;78:84–89
  14. de Virgilio C, Stabile BE, Lewis RJ, Brayack C. Significantly improved American Board of Surgery In-Training Examination scores associated with weekly assigned reading and preparatory examinations. Arch Surg. 2003;138:1195–1197
  15. Bloom BS. Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain. Reading, MA: Addison Wesley Publishing; 1956;
  16. Desmarais M, Gagnon M, Meshkinfam P. Item-based Bayesian student models. In: Proceedings of the 21st National Conference on Artificial Intelligence. 2006;Menlo Park, CA
  17. Doignon JP, Falmagne JC. Knowledge Spaces. New York, NY: Springer; 1999;
  18. Falmagne JC, Koppen M, Villano M, et al. Introduction to knowledge spaces: how to build, test, and search them. Psychol Rev. 1990;97:201–224

 Funding: None.

 Conflict of Interest: None of the authors have any conflicts of interest associated with the work presented in this manuscript.

 Authorship: All authors had access to the data and played a role in writing this manuscript.

PII: S0002-9343(09)00497-5

doi: 10.1016/j.amjmed.2009.05.010

The American Journal of Medicine
Volume 122, Issue 9 , Pages 879-883 , September 2009