The state of general surgery residency in the United States: program director perspectives, 2001.

HYPOTHESIS Current demographic patterns and lifestyle factors of general surgery residents may contribute to recent changes in recruitment patterns. DESIGN Survey addressing the characteristics of general surgery residency, including demographic data, 3-year recruitment and retention trends, and working conditions of general surgery residents. PARTICIPANTS A convenience sample of all residency program directors in attendance at the 2001 Surgical Education Week was given the opportunity to voluntarily complete the survey. RESULTS A total of 109 program directors responded to the survey. Women constitute 25% of all current general surgery residents: 66% of the program directors perceived a decline in the number of applicants for general surgery residency. Recruitment patterns differ significantly between small (< or =4 categorical residents per year) and large (>4 categorical residents per year) residency programs. Residents at large programs averaged a 95-hour workweek, whereas those at small programs averaged an 88-hour workweek (P =.01). The mean 1-year attrition rate for general surgery residents was 20.2% in 2000, and attrition showed no relationship to program size, gender composition, or working conditions. CONCLUSIONS Women remain underrepresented in general surgery residency. Recruitment and match statistics show some variation, but the relevance of a shrinking applicant pool to these changes is unclear. Resident working conditions remain a difficult issue, and attrition rates continue to be significant. A substantial research agenda remains in graduate surgical education.

[1]  L. Greenfield,et al.  Variation in Death Rate After Abdominal Aortic Aneurysmectomy in the United States: Impact of Hospital Volume, Gender, and Age , 2002, Annals of surgery.

[2]  J. Birkmeyer High-risk surgery--follow the crowd. , 2000, JAMA.

[3]  A Milstein,et al.  Selective referral to high-volume hospitals: estimating potentially avoidable deaths. , 2000, JAMA.

[4]  P. Romano,et al.  Can Administrative Data be Used to Compare the Quality of Health Care? , 1993, Medical care review.

[5]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.

[6]  L I Iezzoni,et al.  Use of administrative data to find substandard care: validation of the complications screening program. , 2000, Medical care.

[7]  D. Hosmer,et al.  A review of goodness of fit statistics for use in the development of logistic regression models. , 1982, American journal of epidemiology.

[8]  P. Pronovost,et al.  The Effect of ICU Physician Staffing and Hospital Volume on Outcomes After Hepatic Resection , 2002 .

[9]  K. Kupka,et al.  International classification of diseases: ninth revision. , 1978, WHO chronicle.

[10]  Edward L. Hannan,et al.  Investigation of the Relationship Between Volume and Mortality for Surgical Procedures Performed in New York State Hospitals , 1989 .

[11]  L. Neumayer,et al.  Influence of spousal opinions on residency selection. , 1992, American journal of surgery.

[12]  P. C. Bergen,et al.  Gender-related attrition in a general surgery training program. , 1998, The Journal of surgical research.

[13]  J. Birkmeyer,et al.  Volume standards for high-risk surgical procedures: potential benefits of the Leapfrog initiative. , 2001, Surgery.

[14]  A. Enthoven,et al.  Should operations be regionalized? The empirical relation between surgical volume and mortality. , 1980, The New England journal of medicine.

[15]  L. Hollier,et al.  The nature and fate of categorical surgical residents who "drop out". , 1998, American journal of surgery.

[16]  W. Lau Primary liver tumors. , 2000, Seminars in surgical oncology.

[17]  W. Strodel,et al.  Controllable Lifestyle: A New Factor in Career Choice by Medical Students , 1989, Academic medicine : journal of the Association of American Medical Colleges.

[18]  L I Iezzoni,et al.  Identification of in-hospital complications from claims data. Is it valid? , 2000, Medical care.

[19]  M. Choti,et al.  Hospital volume can serve as a surrogate for surgeon volume for achieving excellent outcomes in colorectal resection. , 1999, Annals of surgery.

[20]  J. Royston An Extension of Shapiro and Wilk's W Test for Normality to Large Samples , 1982 .

[21]  Birkmeyer Jd,et al.  Potential benefits of regionalizing major surgery in Medicare patients. , 1999 .

[22]  P. Pronovost,et al.  Hospital volume is related to clinical and economic outcomes of esophageal resection in Maryland. , 2001, The Annals of thoracic surgery.

[23]  A. Swanson,et al.  Present activities of 1989 U.S. medical graduates. , 1989 .

[24]  P. Pronovost,et al.  Variations in complication rates and opportunities for improvement in quality of care for patients having abdominal aortic surgery , 2001, Langenbeck’s Archives of Surgery.

[25]  Roger B. Davis,et al.  Costs of Potential Complications of Care for Major Surgery Patients , 1995, American journal of medical quality : the official journal of the American College of Medical Quality.

[26]  M. McCarter,et al.  Metastatic liver tumors. , 2000, Seminars in surgical oncology.

[27]  W. Strodel,et al.  The controllable lifestyle factor and students' attitudes about specialty selection , 1990, Academic medicine : journal of the Association of American Medical Colleges.

[28]  A Milstein,et al.  Improving the safety of health care: the leapfrog initiative. , 2000, Effective clinical practice : ECP.

[29]  E. Hannan,et al.  Investigation of the relationship between volume and mortality for surgical procedures performed in New York State hospitals. , 1990, JAMA.

[30]  P. Pronovost,et al.  Effect of nurse-to-patient ratio in the intensive care unit on pulmonary complications and resource use after hepatectomy. , 2001, American journal of critical care : an official publication, American Association of Critical-Care Nurses.

[31]  R. Deyo,et al.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. , 1992, Journal of clinical epidemiology.

[32]  J. Birkmeyer,et al.  Potential benefits of regionalizing major surgery in Medicare patients. , 1999, Effective clinical practice : ECP.

[33]  O. Jonasson,et al.  Attrition in graduate surgical education: an analysis of the 1993 entering cohort of surgical residents. , 1999, Journal of the American College of Surgeons.

[34]  J. Jollis,et al.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. , 1993, Journal of clinical epidemiology.