Factors related to attrition in surgery residency based on application data.
OBJECTIVE
To determine whether variables in the surgery resident selection process will predict attrition or performance during residency training.


METHODS
Retrospective study.


METHODS
A university residency program.


METHODS
A total of 111 categorical surgery residents matched during a 10-year period (1991-2000).


METHODS
Satisfactory outcome included successful completion of training and the American Board of Surgery examinations on the first attempt. Participants with a satisfactory outcome were stratified into good or marginal performance based on adverse actions during residency.


RESULTS
Of 111 residents studied, 28 (25.2%) had an unsatisfactory outcome; attrition occurred in 25 (22.5%). Univariate analysis identified the following variables as predictors of unsatisfactory outcome: age at entry older than 29 years (P = .005), female sex (P = .02), courses repeated (P = .01), "C" grades on transcript (P = .01), no participation in team sports (P = .02), and lack of superlative comments in the dean's letter (P = .03). The following variables were retained in the multivariate model: age older than 29 years (odds ratio [OR], 0.11; 95% confidence interval [CI], 0.02-0.47; P = .003), summary comments in the dean's letter (OR, 4.57; 95% CI, 2.00-10.43; P < .001), participation in team sports (OR, 4.96; 95% CI, 1.36-18.05; P = .02), and merit scholarship in medical school (OR, 0.25; 95% CI, 0.08-0.78; P = .02).


CONCLUSIONS
Attrition can be predicted from factors identified on residency applications, with nonacademic factors being more important. Among residents who completed the program, no predictors of performance were identified.
Naylor
Rebekah A
RA
Department of Surgery, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd, Dallas, TX 75390-9156, USA. rebekah.naylor@utsouthwestern.edu
Reisch
Joan S
JS
Valentine
R James
RJ
D000328:Adult; D001291:Attitude of Health Personnel; D002321:Career Choice; D002983:Clinical Competence; D005260:Female; D013502:General Surgery / Q000193:education*; D006801:Humans; D007396:Internship and Residency / Q000706:statistics & numerical data*; D008297:Male; D010560:Personnel Selection; D010563:Personnel Turnover; D012189:Retrospective Studies; D013043:Specialties, Surgical / Q000706:statistics & numerical data; D013332:Student Dropouts / Q000706:statistics & numerical data*