Debiasing the hidden curriculum: academic equality among medical specialties.
OBJECTIVE
To compare the academic performance of students who entered family medicine residency programs with that of students who entered other disciplines and discern whether or not family physicians are as academically talented as their colleagues in other specialties.


METHODS
Retrospective quantitative study.


METHODS
University of Calgary in Alberta.


METHODS
Three graduating classes of students (2004 to 2006) from the University of Calgary medical school.


METHODS
Student performance on various undergraduate certifying examinations in years 1, 2, and 3, along with third-year in-training evaluation reports and total score on the Medical Council of Canada Qualifying Examination Part I.


RESULTS
Complete data were available for 99% of graduates (N = 295). In the analysis, residency program (family medicine [n = 96] versus non-family medicine [n = 199]) served as the independent variable. Using a 1-way multivariate ANOVA (analysis of variance), no significant difference among any of the mean performance scores was observed (F(5289) = 1.73, P > .05). Students who entered family medicine were also well represented within the top 10 rankings of the various performance measures.


CONCLUSIONS
The academic performance of students who pursued careers in family medicine did not differ from that of students who chose other specialties. Unfounded negativity toward family medicine has important societal implications, especially at a time when the gap between the number of family physicians and patients seeking primary care services appears to be widening.
Department of Undergraduate Medical Education, Faculty of Medicine, University of Calgary, Calgary, AB. woloshu@ucalgary.ca
Wayne
W
Woloschuk
Bruce
B
Wright
Kevin
K
McLaughlin
D000046:Academic Medical Centers; D000416:Alberta; D002321:Career Choice; D002982:Clinical Clerkship / Q000592:standards; D003479:Curriculum / Q000592:standards*; D004521:Educational Measurement / Q000592:standards*; D005260:Female; D006801:Humans; D007396:Internship and Residency / Q000706:statistics & numerical data* / Q000639:trends; D008297:Male; D008511:Medicine / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D010821:Physicians, Family / Q000193:education* / Q000600:supply & distribution; D011287:Prejudice; D015397:Program Evaluation; D012189:Retrospective Studies; D012737:Sex Factors; D013337:Students, Medical / Q000523:psychology* / Q000706:statistics & numerical data; D014495:Universities
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