Cumulative team experience matters more than individual surgeon experience in cardiac surgery.

OBJECTIVES Individual surgeon experience and the cumulative experience of the surgical team have both been implicated as factors that influence surgical efficiency. We sought to quantitatively evaluate the effects of both individual surgeon experience and the cumulative experience of attending surgeon-cardiothoracic fellow collaborations in isolated coronary artery bypass graft (CABG) procedures. METHODS Using a prospectively collected retrospective database, we analyzed all medical records of patients undergoing isolated CABG procedure at our institution. We used multivariate generalized estimating equation regression models to adjust for patient mix and subsequently evaluated the effect of both attending cardiac surgeon experience (since fellowship graduation) and the number of previous collaborations between attending cardiac surgeons and cardiothoracic fellow pairs on cardiopulmonary bypass and crossclamp times. RESULTS From 2001 to 2010, 4068 consecutive patients underwent isolated CABG procedure at our institution performed by 11 attending cardiac surgeons and 73 cardiothoracic fellows. Mean attending experience after fellowship graduation was 10.9 ± 8.0 years and mean number of cases between unique pairs of attending cardiac surgeons and cardiothoracic fellows was 10.0 ± 10.0 cases. After patient risk adjustment, both attending surgical experience since fellowship graduation and the number of previous collaborations between attending surgeons and cardiothoracic fellows were significantly associated with a reduction in cardiopulmonary bypass and crossclamp times (P < .001). The influence of attending-fellow pair experience far exceeded the influence of surgical experience with beta estimates for attending-fellow pair experience nearly three times that of attending surgeon experience. CONCLUSIONS Cumulative experience of attending cardiac surgeons and cardiothoracic fellows has a dramatic effect on both cardiopulmonary bypass and crossclamp times, whereas attending cardiac surgeon learning curves following fellowship graduation are clinically insignificant. Taken together, these findings suggest that the primary driver of operative efficiency in CABG procedure is the collaborative experience of the attending surgeon-cardiothoracic fellow operative team, rather than the individual experience of the attending surgeon.

[1]  Douglas A Wiegmann,et al.  Application of the human factors analysis and classification system methodology to the cardiovascular surgery operating room. , 2007, The Annals of thoracic surgery.

[2]  A. Cerillo,et al.  Traversing the learning curve in minimally invasive heart valve surgery: a cumulative analysis of an individual surgeon's experience with a right minithoracotomy approach for aortic valve replacement. , 2012, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[3]  Gary P. Pisano,et al.  Speeding Up Team Learning. , 2001 .

[4]  Gary P. Pisano,et al.  Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery , 2001, Manag. Sci..

[5]  D. Holmes,et al.  Transcatheter aortic valve implantation: assessing the learning curve. , 2012, JACC. Cardiovascular interventions.

[6]  A. MacDonald Modelling Survival Data in Medical Research. By D. Collett (Chapman & Hall, 1994) £19.99 , 1995, British Actuarial Journal.

[7]  David Collett Modelling Survival Data in Medical Research , 1994 .

[8]  Robert S. Huckman,et al.  A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement , 2009, Plastic and reconstructive surgery.

[9]  C. Heij,et al.  Working with a fixed operating room team on consecutive similar cases and the effect on case duration and turnover time. , 2010, Archives of surgery.

[10]  M R de Leval,et al.  Institutional resilience in healthcare systems , 2001, Quality in health care : QHC.

[11]  J. Reason,et al.  Human factors and cardiac surgery: a multicenter study. , 2000, The Journal of thoracic and cardiovascular surgery.

[12]  Antoine Duclos,et al.  The Teaming Curve: A Longitudinal Study of the Influence of Surgical Team Familiarity on Operative Time , 2013, Annals of surgery.

[13]  Amy P. Hutton,et al.  Four rules for taking your message to Wall Street. , 2001, Harvard business review.

[14]  G. Pisano,et al.  Disrupted Routines: Team Learning and New Technology Implementation in Hospitals , 2001 .

[15]  Toshiaki Ito,et al.  Learning curve of coronary surgery by a cardiac surgeon in Japan with the use of cumulative sum analysis. , 2005, The Japanese journal of thoracic and cardiovascular surgery : official publication of the Japanese Association for Thoracic Surgery = Nihon Kyobu Geka Gakkai zasshi.

[16]  K. Catchpole,et al.  Improving patient safety by identifying latent failures in successful operations. , 2007, Surgery.

[17]  Douglas A Wiegmann,et al.  Disruptions in surgical flow and their relationship to surgical errors: an exploratory investigation. , 2007, Surgery.

[18]  Sean M. O'Brien,et al.  The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 1--coronary artery bypass grafting surgery. , 2009, The Annals of thoracic surgery.

[19]  Douglas A. Wiegmann,et al.  Identifying methods to improve heart surgery: an operative approach and strategy for implementation on an organizational level. , 2008, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[20]  Linda Argote,et al.  Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together , 2005, Manag. Sci..

[21]  Wayne L Chandler,et al.  Activation of the Hemostatic System During Cardiopulmonary Bypass , 2011, Anesthesia and analgesia.