OBJECTIVE(S): Implementation of the 80-hour mandate was expected to reduce attrition from general surgery (GS) residency. This is the first quantitative report from a national prospective study of resident/program characteristics associated with attrition. METHODS: Analysis included all categorical GS residents entered on American Board of Surgery residency rosters in 2007 to 2008. Cases of attrition were identified by program report, individually confirmed, and linked to demographic data from the National Study of Expectations and Attitudes of Residents in Surgery administered January 2008. RESULTS: All surgical categorical GS residents active on the 2007-2008 resident rosters (N = 6,303) were analyzed for attrition. Complete National Study of Expectations and Attitudes of Residents in Surgery demographic information was available for 3959; the total and survey groups were similar with regard to important characteristics. About 3% of US categorical residents resigned in 2007 to 2008, and 0.4% had contracts terminated. Across all years (including research), there was a 19.5% cumulative risk of resignation. Attrition was highest in PGY-1 (5.9%), PGY-2 (4.3%), and research year(s) (3.9%). Women were no more likely to leave programs than men (2.1% vs. 1.9%). Of several program/resident variables examined, postgraduate year-level was the only independent predictor of attrition in multivariate analysis. Residents who left GS whose plans were known most often pursued nonsurgical residencies (62%), particularly anesthesiology (21%) and radiology (11%). Only 13% left for surgical specialties. CONCLUSIONS: Attrition rates are high despite mandated work hour reductions; 1 in 5 GS categorical residents resigns, and most pursue nonsurgical careers. Demographic factors, aside from postgraduate year do not appear predictive. Residents are at risk for attrition early in training and during research, and this could afford educators a target for intervention.
OBJECTIVE(S): Implementation of the 80-hour mandate was expected to reduce attrition from general surgery (GS) residency. This is the first quantitative report from a national prospective study of resident/program characteristics associated with attrition. METHODS: Analysis included all categorical GS residents entered on American Board of Surgery residency rosters in 2007 to 2008. Cases of attrition were identified by program report, individually confirmed, and linked to demographic data from the National Study of Expectations and Attitudes of Residents in Surgery administered January 2008. RESULTS: All surgical categorical GS residents active on the 2007-2008 resident rosters (N = 6,303) were analyzed for attrition. Complete National Study of Expectations and Attitudes of Residents in Surgery demographic information was available for 3959; the total and survey groups were similar with regard to important characteristics. About 3% of US categorical residents resigned in 2007 to 2008, and 0.4% had contracts terminated. Across all years (including research), there was a 19.5% cumulative risk of resignation. Attrition was highest in PGY-1 (5.9%), PGY-2 (4.3%), and research year(s) (3.9%). Women were no more likely to leave programs than men (2.1% vs. 1.9%). Of several program/resident variables examined, postgraduate year-level was the only independent predictor of attrition in multivariate analysis. Residents who left GS whose plans were known most often pursued nonsurgical residencies (62%), particularly anesthesiology (21%) and radiology (11%). Only 13% left for surgical specialties. CONCLUSIONS: Attrition rates are high despite mandated work hour reductions; 1 in 5 GS categorical residents resigns, and most pursue nonsurgical careers. Demographic factors, aside from postgraduate year do not appear predictive. Residents are at risk for attrition early in training and during research, and this could afford educators a target for intervention.
Authors: Jonathan D Pollock; Timothy P Love; Bruce C Steffes; David C Thompson; John Mellinger; Carl Haisch Journal: World J Surg Date: 2011-03 Impact factor: 3.352
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