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Original Articles

Early predictors of summative assessment performance in general practice post-graduate training: A retrospective cohort study

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References

  • Australian Department of Health. 2016. Medical training review panel 19th report. Canberra: Department of Health, Australian Government.
  • Australian Statistical Geography Standard (ASGS): Volume 5 – remoteness structure. 2013. Canberra (ACT): Australian Bureau of Statistics.
  • Barber C, Hammond R, Gula L, Tithecott G, Chacine S. 2017. In search of black swans: identifying students at risk of failing licensing examinations. Acad Med. 93:478–485.
  • Brenner A, Mathaie S, Jain S, Mohl P. 2010. Can we predict “problem residents”? Acad Med. 85:1147–1151.
  • Cox M, Irby DM, Epstein RM. 2007. Assessment in medical education. N Engl J Med. 356:387–396.
  • deVirgilio C, Yaghoubian A, Kaji A, Collins J, Deveney K, Dolich M, Easter D, Hines O, Katz S, Liu T, et al. 2010. Predicting performance on the American Board of Surgery Qualifying and certifying examinations: a multi-institutional study. Arch Surg. 145:852–856.
  • Guerrasio J, Garrity M, Aagaard E. 2014. Learner deficits and academic outcomes of medical students, residents, fellows, and attending physicians referred to a remediation program, 2006–2012. Acad Med. 89:352–358.
  • Hauer K, Ciccone A, Henzel T, Katsufrakis P, Miller S, Norcross W, Papadakis M, Irby D. 2009. Remediation of the deficiencies of physicians across the continuum from medical school to practice: a thematic review of the literature. Acad Med. 84:1822–1832.
  • Hays R, Davies H, Beard J, Caldon L, Farmer E, Finucane P, McCrorie P, Newble D, Schuwirth L, Sibbald G. 2002. Selecting performance assessment methods for experienced physicians. Med Educ. 36:910–917.
  • Ingham G, Morgan S, Kinsman L, Fry J. 2015. Are GP supervisors confident they can assess registrar competence and safety, and what methods do they use? Aust Fam Phys. 44:236–240.
  • Lee KL, Vaishnavi S, Lau S, Andriole DA, Jeffe DB. 2007. "Making the Grade:" noncognitive predictors of medical students' clinical clerkship grades. J Natl Med Assoc. 99(10):1138–1150.
  • Magin P, Stewart R, Turnock A, Tapley A, Holliday E, Cooling N. 2016. Early predictors of need for remediation in the Australian general practice training program: a retrospective cohort study. Adv Health Sci Educ. 22:915–929.
  • Malau-Aduli BS, O’Connor T, Ray R, Kerlen Y, Bellingan M, Teague PA. 2017. Risk factors associated with academic difficulty in an Australian regionally located medical school. BMC Med Educ. 17:266.
  • Miller G. 1990. The assessment of clinical skills/competence/performance. Acad Med. 65:S63–S67.
  • Naidoo S, Lopes S, Patterson F, Mead HM, MacLeod S. 2017. Can colleagues’, patients’ and supervisors’ assessments predict successful completion of postgraduate medical training? Med Educ. 51:423–431.
  • O’Neill T, Zijia L, Peabody M, Lybarger M, Royal K, Puffer J. 2015. The predictive validity of the ABFM in-training examination. Fam Med. 47:349–356.
  • Patterson F, Rowett E, Hale R, Grant M, Roberts C, Cousans F, Martin S. 2016. The predictive validity of a situational judgement test and multiple-mini interview for entry into postgraduate training in Australia. BMC Med Educ. 16:87.
  • Pugh D, Bhanji F, Cole G, Dupre J, Hatala R, Humphrey-Murto S, Touchie C, Wood TJ. 2016. Do OSCE progress test scores predict performance in a national high-stakes examination? Med Educ. 50:1365–2923.
  • Quattlebaum T, Darden P, Sperry J. 1989. In training examinations as predictors of resident clinical performance. Pediatrics. 44(1):165–172.
  • Schneider A, Hommel G, Blettner B. 2010. Linear regression analysis: part 14 of a series on evaluation of scientific publications. Deutsches Arzteblatt Int. 107(44):776–782.
  • Schuwirth LW, Van der Vleuten CP. 2011. Programmatic assessment: from assessment of learning to assessment for learning. Med Teach. 33:478–485.
  • Sperandei S. 2014. Understanding logistic regression analysis. Biochem Med (Zagreb). 24:12–18.
  • Steinert Y. 2008. The “problem” junior: whose problem is it? Br Med J. 336:150–153.
  • Sullivan M, Yeo H, Roman S, Ciarleglio M, Cong X, Bell R Jr, Sosa J. 2013. Surgical residency and attrition: defining the individual and programmatic factors predictive of training losses. J Am Coll Surg. 216(3):461–471.
  • Vermeulen MI. 2014. Admission and poor performance of trainees in the postgraduate GP training in the Netherlands. Utrecht: Utrecht University.
  • Vermeulen M, Kuyvenhoven M, de Groot E, Zuithoff N, Pieters H, van der Graaf Y, Damoiseaux R. 2016. Poor performance among trainees in a Dutch postgraduate GP training program. Fam Med. 48(6):430–438.
  • Williams R, Dunnington G, Klamen D. 2005. Forecasting residents’ performance – partly clouded. Acad Med. 80:415–422.
  • Woloschuk W, McLaughlin K, Wright B. 2013. Predicting performance on the Medical Council of Canada Qualifying Exam Part II. Teach Learn Med. 25:271–241.
  • Zbieranowski I, Takahashi S, Verma S, Spadafora S. 2013. Remediation of residents in difficulty: a retrospective 10-year review of the experience of a postgraduate board of examiners. Acad Med. 88:111–116.
  • Ziegler J, Strull W, Larsen R, Martin A, Coates TJ. 1985. Stress and medical training. West J Med. 42(6):814–819.

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