Development of a Charting Method to Monitor the Individual Performance of Surgeons at the Beginning of Their Career

被引:19
作者
Duclos, Antoine [1 ,2 ,3 ]
Carty, Matthew J. [3 ]
Peix, Jean-Louis [4 ]
Colin, Cyrille [2 ]
Lipsitz, Stuart R. [3 ]
Kraimps, Jean-Louis [5 ]
Menegaux, Fabrice [6 ]
Pattou, Francois [7 ,8 ]
Sebag, Frederic [9 ]
Voirin, Nicolas
Touzet, Sandrine [2 ]
Bourdy, Stephanie [2 ]
Lifante, Jean-Christophe [1 ,3 ,10 ]
机构
[1] Hop Edouard Herriot, Hosp Civils Lyon, Serv Hyg Epidemiol & Prevent, Lyon, France
[2] Univ Lyon, EA Sante Individu Soc 4129, Lyon, France
[3] Harvard Univ, Brigham & Womens Hosp, Sch Med, Ctr Surg & Publ Hlth, Boston, MA 02115 USA
[4] Hosp Civils Lyon, Ctr Hosp Lyon Sud, Serv Chirurg Gen & Endocrinienne, Pierre Benite, France
[5] Univ Poitiers, Dept Endocrine Surg, Jean Bernard Hosp, Poitiers, France
[6] Hop La Pitie Salpetriere, AP HP, Serv Chirurg Gen Viscerale & Endocrinienne, Paris, France
[7] CHRU Lille, Lille, France
[8] Univ Lille N France, INSERM, UMR 859, Lille, France
[9] CHU Timone Adulte, Assistance Publ Hop Marseille, Marseille, France
[10] Univ Lyon 1, CNRS, UMR 5558, Lab Biometrie & Biol Evolut, F-69365 Lyon, France
关键词
LEARNING-CURVE; MEDICAL-EDUCATION; THYROID-SURGERY; QUALITY-CONTROL; FUNNEL PLOTS; HEALTH-CARE; EXPERIENCE; MULTICENTER; MORTALITY; CUSUM;
D O I
10.1371/journal.pone.0041944
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Efforts to provide a valid picture of surgeons' individual performance evolution should frame their outcomes in relation to what is expected depending on their experience. We derived the learning curve of young thyroidectomy surgeons as a baseline to enable the accurate assessment of their individual outcomes and avoid erroneous conclusions that may derive from more traditional approaches. Methods: Operative time and postoperative recurrent laryngeal nerve palsy of 2006 patients who underwent a thyroidectomy performed by 19 young surgeons in five academic hospitals were monitored from April 2008 to December 2009. The database was randomly divided into training and testing datasets. The training data served to determine the expected performance curve of surgeons during their career and factors influencing outcome variation using generalized estimating equations (GEEs). To simulate prospective monitoring of individual surgeon outcomes, the testing data were plotted on funnel plots and cumulative sum charts (CUSUM). Performance charting methods were utilized to present outcomes adjusted both for patient case-mix and surgeon experience. Results: Generation of performance curves demonstrated a gradual reduction in operative time from 139 (95% CI, 137 to 141) to 75 (71 to 80) minutes, and from 15.7% (15.1% to 16.3%) to 3.3% (3.0% to 3.6%) regarding the nerve palsy rate. Charts interpretation revealed that a very young surgeon had better outcomes than expected, whereas a more experienced surgeon appeared to be a poor performer given the number of years that he had already spent in practice. Conclusions: Not considering the initial learning curve of surgeons exposes them to biased measurement and to misinterpretation in assessing their individual performance for thyroidectomy. The performance chart represents a valuable tool to monitor the outcome of surgeons with the expectation to provide safe and efficient care to patients.
引用
收藏
页数:7
相关论文
共 35 条
[1]  
[Anonymous], 2013, Statistical quality control
[2]   Fellowship Training as a Modifier of the Surgical Learning Curve [J].
Bianco, Fernando J. ;
Cronin, Angel M. ;
Klein, Eric A. ;
Pontes, J. Edson ;
Scardino, Peter T. ;
Vickers, Andrew J. .
ACADEMIC MEDICINE, 2010, 85 (05) :863-868
[3]   Quality control of surgical and interventional procedures: a review of the CUSUM [J].
Biau, David J. ;
Resche-Rigon, Mathieu ;
Godiris-Petit, Gae ;
Nizard, Remy S. ;
Porcher, Raphael .
QUALITY & SAFETY IN HEALTH CARE, 2007, 16 (03) :203-207
[4]   A method for monitoring a process from an out of control to an in control state: Application to the learning curve [J].
Biau, David J. ;
Porcher, Raphael .
STATISTICS IN MEDICINE, 2010, 29 (18) :1900-1909
[5]   A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement [J].
Carty, Matthew J. ;
Chan, Rodney ;
Huckman, Robert ;
Snow, Daniel ;
Orgill, Dennis P. .
PLASTIC AND RECONSTRUCTIVE SURGERY, 2009, 124 (03) :706-714
[6]   Systematic review: The relationship between clinical experience and quality of health care [J].
Choudhry, NK ;
Fletcher, RH ;
Soumerai, SB .
ANNALS OF INTERNAL MEDICINE, 2005, 142 (04) :260-273
[7]   Mentorship, learning curves, and balance [J].
Cohen, Meryl S. ;
Jacobs, Jeffrey P. ;
Quintessenza, James A. ;
Chai, Paul J. ;
Lindberg, Harald L. ;
Dickey, Jamie ;
Ungerleider, Ross M. .
CARDIOLOGY IN THE YOUNG, 2007, 17 :164-174
[8]   Using the literature to quantify the learning curve: A case study [J].
Cook, Jonathan A. ;
Ramsay, Craig R. ;
Fayers, Peter .
INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE, 2007, 23 (02) :255-260
[9]  
Cook Jonathan A, 2004, Clin Trials, V1, P421, DOI 10.1191/1740774504cn042oa
[10]  
DELEVAL MR, 1994, J THORAC CARDIOV SUR, V107, P914