CC BY-NC-ND 4.0 · Endosc Int Open 2019; 07(01): E74-E82
DOI: 10.1055/a-0770-2646
Original article
Owner and Copyright © Georg Thieme Verlag KG 2019

Trainee colonoscopy quality is influenced by the independent and unobserved performance characteristics of supervising physicians

Srihari Mahadev
1   Division of Gastroenterology and Hepatology, Weill Cornell Medicine, New York, New York USA
,
Zhezhen Jin
2   Mailman School of Public Health, Columbia University, New York, New York, USA
,
Benjamin Lebwohl
2   Mailman School of Public Health, Columbia University, New York, New York, USA
3   Division of Digestive and Liver Disease, Department of Medicine, Columbia University, New York, New York, USA
,
Richard M. Rosenberg
3   Division of Digestive and Liver Disease, Department of Medicine, Columbia University, New York, New York, USA
,
Reuben J. Garcia-Carrasquillo
3   Division of Digestive and Liver Disease, Department of Medicine, Columbia University, New York, New York, USA
,
Ivonne Ramirez
3   Division of Digestive and Liver Disease, Department of Medicine, Columbia University, New York, New York, USA
,
Daniel E. Freedberg
3   Division of Digestive and Liver Disease, Department of Medicine, Columbia University, New York, New York, USA
› Author Affiliations
Further Information

Corresponding author

Srihari Mahadev, MD MS
1283 York Ave
9th Floor
New York
NY 10065
USA   
Fax: +1-888-247-2593   

Publication History

submitted 03 May 2018

accepted after revision 30 August 2018

Publication Date:
09 January 2019 (online)

 

Abstract

Background Endoscopy training remains an apprenticeship, and the characteristics that facilitate transfer of high quality procedural skills from role models to trainees are unknown. We sought to determine whether unobserved supervisor performance influences the quality of colonoscopy performed by trainees, by studying how supervisors perform alone and how trainees perform while under those same supervisors.

Methods This was a retrospective cross-sectional study conducted among ambulatory adults ≥ 50 years old who underwent colonoscopy for cancer screening or polyp surveillance from 2006 to 2015 at one academic medical center. The primary exposures were the colonoscopy withdrawal time (WT) and adenoma detection rate (ADR) of supervisors while performing colonoscopies alone. The primary outcomes were the WT and ADR of trainees performing colonoscopies under supervision.

Results Data were included from 22 attending gastroenterologist supervisors, 56 gastroenterology fellow trainees, and 2777 adults undergoing 3094 colonoscopy procedures. Among all supervised colonoscopies, mean trainee WT was 12.7 minutes (SD 4.9) and trainee ADR was 33.5 %. The trainee WT was 0.42 minutes longer (standard error = 0.16, P = 0.01) per minute increase in supervisor WT. Similarly, trainee ADR was higher under a high ADR supervisor, and the odds ratio of high compared to low supervisor ADR category was 1.28 (95 %CI 1.01 – 1.62, P = 0.04) after adjusting for other factors.

Conclusions The unobserved performance characteristics of supervising endoscopists may influence the quality of colonoscopy performed by trainees.


#

Introduction

Role modeling is fundamental to procedural training from the first shadowing experiences to the last days as a trainee [1] [2]. The paradigm of “see one, do one, teach one” pervades medical education and this paradigm begins with the observation of a more experienced practitioner, often an attending physician.

Endoscopy training, once an apprenticeship, is now recognized to merit systematic study. The reasons for this include a broader trend towards evidence-based medicine, heightened focus on patient safety [3], increased scrutiny related to trainee independence [4], the creation in many institutions of a specialized clinical educator career trajectory, and the implementation of objective structured clinical examinations [5], video recordings [6], and simulations [7], for procedural training.

For training to improve, the role modeling paradigm must be studied [8]. While humanistic and professional qualities contribute to role model identification, it remains necessary to identify the key factors that determine whether role models successfully inculcate high quality practices [9]. Significant variability exists in the quality of early procedural training [10]. Yet role modeling has received relatively little attention and the behaviors that determine successful role modeling remain uncertain [11].

This study aimed to understand the components of successful role modeling by determining whether unobserved supervisor characteristics influence trainee behavior. We studied supervisor and trainee performance characteristics during routine screening colonoscopies, focusing on the withdrawal time (WT) and adenoma detection rate (ADR) because they are readily quantifiable and widely recognized as quality measures for screening colonoscopy.


#

Patients/material and methods

Population

Data from all complete colonoscopies performed for colorectal cancer screening or polyp surveillance at a single academic medical center on patients ≥ 50 years old at average risk for colorectal cancer were included. Procedures supervised by attending physicians who infrequently performed colonoscopy (< 50 procedures performed without a trainee) or who rarely supervised colonoscopy (< 10 supervised procedures performed by a trainee) were excluded because of lack of confidence in the estimates for WT and ADR for these supervisors. This study was approved by the Institutional Review Board of Columbia University with a waiver of informed consent.


#

Selection of study measures

Colonoscopy WT and ADR were selected as the primary measures for the study: these metrics were both the primary exposures and the primary outcomes ( [Fig.1]). WT is an important aspect to high quality colonoscopy [12] [13] [14] and insufficient WTs have been associated with increased risk for colorectal cancers that arise between normal screening intervals [15] [16]. Colonoscopist ADR is generally considered to be the critical colonoscopy quality benchmark. ADR has been proposed as a reportable quality measure by the Centers for Medicare and Medicaid Services [17], and a higher provider ADR inversely correlates with patients’ risk for colorectal cancer after colonoscopy [18].

Zoom Image
Fig. 1 Flow chart summarizing study design, primary exposures, and primary outcomes.

#

Primary exposures

The primary exposures were the WT and ADR of supervisors based on procedures that they performed without trainees. To define WT in the study, data related to the time spent performing colonoscopies was retrospectively retrieved from standard endoscopy suite software (ProVation Medical, Minneapolis, Minnesota, United States). These data were generated by endoscopy suite nurses, who used electronic timestamps to document the key steps during colonoscopy. WT was then calculated as the time difference between cecal intubation and removal of the instrument at the end of the procedure. The WT calculation was restricted to the subset of studies in which no polypectomy or other maneuver was performed [15]. To define ADR in the study, data was retrieved from a pathology database and cross-referenced by patient and procedure to information retrieved from endoscopy suite software. The provider ADR was then calculated as the number of patients with adenomas divided by the number of patients screened. Supervisor WT and ADR were classified into tertiles as slow (≥ 10 minutes), medium (8 to 9.9 minutes), or fast (< 8 minutes) and as low (< 25 %), medium (25 to 34.9 %), or high (≥ 35 %) for WT and ADR, respectively.


#

Primary outcomes

The primary outcomes were the WT and ADR of trainees based on procedures performed under the supervisors in the study. Calculation of WT and ADR is described above. Trainee WT was analyzed as a continuous variable and trainee ADR as a categorical variable.


#

Supervision of colonoscopies by trainees

Screening colonoscopies were performed by trainees (n = 56) in their second or third/final year of fellowship training who had largely mastered basic procedural skills. All procedures were supervised in entirety by fully trained gastroenterology faculty members (n = 22), from before the moment of colonoscope insertion until after the moment of its withdrawal. At our institution, supervision is “hands-off” for trainees at this level, with recommendations or suggestions given and the supervisor taking over the procedure only for difficult maneuvers, in the case of unusually challenging procedures, or in rare cases of emergency.


#

Statistical approach

Automated queries were used to extract data. As co-variables, patient demographic information and procedural characteristics were retrieved electronically including the indication for the procedure (standard screening vs. polyp surveillance), preparation of the bowel (adequate vs. inadequate), and type of instrument used (standard vs. pediatric). Bowel preparation quality was derived from the endoscopist’s description within the procedure report: bowel preparation described as “poor” or “inadequate” in any segment of the colon was considered inadequate. Both the continuous measures and tertiles of the supervisor WT and ADR were also considered to be covariates. The generalized estimation equation (GEE) approach with a working independence correlation structure was used to examine the factors associated with WT using identity link and ADR using logit link, respectively. The factors which were significant at the 0.1 level in univariable GEE analysis were included in the final multivariable analysis. Sensitivity analyses were conducted to test the robustness of the observed associations. The models were rerun following exclusion of patients with inadequate bowel preparation, and on the subset of patients for whom the indication for the procedure was average-risk screening rather than surveillance due to a history of adenomas. All testing was two-sided at the alpha 0.05 level of significance. Data analysis was conducted with SAS software version 9.4 (SAS Institute Inc., Cary, North Carolina, United States).


#
#

Results

Population

A total of 2777 patients who had 3094 colonoscopies met the criteria for inclusion in the study ([Table 1]). The 3094 colonoscopies were performed by 56 trainees who were under the direct supervision of a group of 22 attending supervisors. Most of the procedures were for screening (76 %) as opposed to surveillance (24 %) and the overall adequacy of bowel preparation was 70 %. Among the 3094 procedures, the trainee ADR was 33.5 %. Only 313 (10.1 %) of the 3094 procedures had trainee WT measurements with an average 12.7 minutes (SD 4.9).

Table 1

Characteristics of 3094 directly supervised trainee colonoscopies performed on 2777 patients.

Characteristics

n = 2777

%

Patient demographics

Sex

  • Male

1172

42.2

  • Female

1605

57.8

Age, mean (SD)

61.7

(8.4)

  • 50 – 59

1248

44.9

  • 60 – 69

988

35.6

  • 70 – 79

476

17.1

  •  ≥ 80

65

2.3

Procedural information

Number of procedures = 3094

Indication

  • Screening for CRC

2357

76.2

  • Polyp surveillance

737

23.8

Time of day

  • Morning procedure

1380

44.6

  • Afternoon procedure

1714

55.4

Preparation of the bowel

  • Adequate

2171

70.2

  • Inadequate

923

29.8

Withdrawal time (WT), mean min (SD) n = 313

12.7

(4.9)

Adenoma detection rate (ADR)

  • No adenomas detected

2057

66.5

  •  ≥ 1 adenoma detected

1037

33.5

CRC, colorectal cancer; min: minutes; SD: standard deviation.


#

Supervisor WT and ADR

Supervisor WT ([Supplementary Fig. 1a]) and ADR ( [Supplementary Fig.1b]) were classified from 19 376 procedures performed without trainees. Among these procedures, mean independent supervisor WT was 8.7 minutes (SD 4.2) and ADR was 32 % (95 %CI 31.2 – 32.4).

Zoom Image
Supplementary Fig. 1 a Withdrawal time (WT) for 22 physicians who directly supervised trainee procedures, calculated from 19 376 procedures performed without trainees. b Adenoma detection rate (ADR) for 22 physicians who directly supervised trainee procedures, calculated from 19 376 procedures performed without trainees.

#

Trainee colonoscopy characteristics

Trainee colonoscopies performed for screening (as opposed to surveillance) and those with inadequate bowel preparation were associated with slower supervisor WT category, although these associations were modest in strength. Trainee colonoscopies performed in the afternoon (as opposed to the morning) were associated with high supervisor ADR category. Again, this association was modest in strength. Trainee WT had a stepwise association with independent supervisor WT (unadjusted P for trend, 0.02) and trainee ADR had a stepwise association with independent supervisor ADR (unadjusted P for trend, 0.03) ([Fig. 2]).

Zoom Image
Fig. 2 Trainee withdrawal time (WT) and adenoma detection rate (ADR), stratified by supervisor withdrawal time category and adenoma detection rate category.

#

Final multivariable models

In univariable GEE analysis, only supervisor WT was significantly associated with the trainee WT. The trainee WT was 0.42 minutes longer (standard error = 0.16, P = 0.01) per minute increase in supervisor WT. In categorized supervisor WT, trainee WT was longer under a slow withdrawing supervisor, 2.33 minutes (SE = 0.91) longer under a slow withdrawing supervisor compared to under a fast withdrawing supervisor and 1.77 minutes (SE = 0.71) longer under a medium withdrawing supervisor compared to under a fast withdrawing supervisor ([Table 2]). The univariable GEE analysis of trainee ADR is shown in [Table 3]. The final model for trainee ADR included patient sex, age, and supervisor ADR or ADR category ([Table 4]). In this model, the odds ratio of high compared to low supervisor ADR category was 1.28 (95 %CI 1.01 – 1.62, P = 0.04) in adenoma detection after adjusting for other factors. Statistical significance was not met for the differences between the first two categories of supervisor ADR.

Table 2

Univariable GEE analysis for trainee withdrawal time in minutes.

Variables

Estimate (standard error)

P value

Age, per year

 – 0.01 (0.04)

0.65

Sex

  • Female

Reference

  • Male

 – 0.89 (0.57)

0.12

Bowel preparation

  • Adequate

Reference

  • Inadequate

1.47 (0.94)

0.12

Supervisor WT, min

0.42 (0.16)

0.01

Supervisor WT category

  • Fast

Reference

  • Medium

1.77 (0.71)

0.01

  • Slow

2.33 (0.91)

0.01

GEE, generalized estimation equation; WT, withdrawal time.

Table 3

Univariable GEE analysis for trainee adenoma detection rate.

Variables

Odds ratio (95 %CI)

P value

Age, per year

1.04 (1.03 – 1.05)

 < 0.01

Sex

  • Female

Reference

  • Male

1.58 (1.35 – 1.86)

 < 0.01

Bowel preparation

  • Adequate

Reference

  • Inadequate

0.98 (0.83 – 1.16)

0.80

Supervisor ADR (per %)

2.63 (0.91 – 7.57)

0.07

Supervisor ADR category

  • Low

Reference

Reference

  • Medium

1.15 (0.93 – 1.43)

0.19

  • High

1.29 (1.02 – 1.63)

0.03

CI, confidence interval; GEE, generalized estimation equation; ADR, adenoma detection rate.

Table 4

Multivariable GEE analysis for trainee adenoma detection rate.

Variables

Odds ratio (95 %CI)

P value

Continuous supervisor ADR

Age, per year

1.04 (1.03 – 1.05)

 < 0.01

Sex

  • Female

Reference

  • Male

1.58 (1.34 – 1.85)

 < 0.01

Supervisor ADR (per %)

2.73 (0.94 – 7.91)

0.07

Tertiles of supervisor ADR

Age, per year

1.040 (1.030 – 1.050)

 < 0.001

Sex

  • Female

Reference

  • Male

1.578 (1.343 – 1.854)

 < 0.001

Supervisor ADR category

  • Low

Reference

Reference

  • Medium

1.121 (0.900 – 1.397)

0.307

  • High

1.280 (1.010 – 1.622)

0.042

ADR, adenoma detection rate; CI, confidence interval; GEE, generalized estimation equation.


#

Sensitivity analyses

We performed sensitivity analyses to test the robustness of these results after excluding patients with inadequate preparation of the bowel and after excluding patients with procedures performed for surveillance rather than screening. Trends for trainee WT and ADR were similar after excluding 303 patients with inadequate preparation of the bowel ([Supplementary Fig. 2a]) and after excluding 737 patients with procedures performed for surveillance ([Supplementary Fig. 2b]), although the associations were no longer statistically significant. A sensitivity analysis was also performed with exclusion of outlier trainee performance, comprising the highest and lowest 5 % of trainee ADR and WT. Exclusion of outliers did not influence the relationship between supervisor and trainee WT on univariable or multivariable analysis. However, the impact of supervisor ADR category on trainee ADR no longer met statistical significance after exclusion of outliers.

Zoom Image
Supplementary Fig.  2 Stratified analysis based on procedure indication. a Trainee withdrawal time (WT) and adenoma detection rate (ADR) among 2171 procedures with adequate preparation of the bowel, stratified by supervisor WT and ADR category. b Trainee WT and ADR among 2357 procedures performed for screening, stratified by supervisor withdrawal time and adenoma detection rate category.

#
#

Discussion

In this retrospective cross-sectional study on role modeling, the independent performance characteristics of supervisors influenced the performance characteristics of their trainees during directly supervised screening colonoscopies. A slow WT and high ADR are hallmarks of a high quality colonoscopy. We found that slow withdrawing supervisors were more likely to have trainees who withdrew slowly and high ADR supervisors were more likely to have trainees who detected adenomas. The trainees in this study were procedurally proficient, so these findings likely reflect behavioral patterns and not procedural capacity. We suspect that relatively subtle cues from supervisors tell trainees to “hurry up” or “slow down.” The independent behavior of supervisors, as measured during the procedures they performed without trainees, determined the actions of their trainees.

Although this study focused around colonoscopies done for colon cancer screening, its findings may be relevant for other scenarios. Medical trainees’ first clinical experiences are often shadowing exercises in which a supervisor models essential skills [19]. The practices learned as trainees are lifelong, with studies showing that characteristics during training tend to carry over into independent practice [20]. For those who might seek to have a private and a public face with respect to trainees, this study suggests that there is no distinction. A more positive interpretation of these findings is that encouraging good practices may create good teachers. Interventions can change the performance characteristics of attending physicians: there is high quality evidence that instituting measures that focus on increasing endoscopist ADR and WT have a direct impact upon patient outcomes including colorectal cancer mortality [21]. Our study suggests that such interventions may also improve these attending physicians as teachers or supervisors [22].

To our knowledge, no prior studies have taken a similar approach to procedural education. However, ample research affirms the importance of role modeling. Among graduating medical students, 90 % strongly identify with one or more role models and report that this interaction critically shapes clinical skills [23]. When trainees are surveyed, they are more likely to identify as excellent role models those with more time allocated towards teaching and those who emphasize the patient – doctor relationship [24] [25]. When highly regarded role models are surveyed, they also tend to stress interpersonal skills and teaching ability over personal proficiency [26]. Our findings complement these studies by suggesting that task-specific attitudes, as well as strength or weakness as a teacher, may be an important determinant of success as a role model.

Procedural training has a mechanical or motor aspect that distinguishes it from non-procedural clinical training. The learning curve for procedures varies between individuals but learning clearly increases with experience [27] [28] [29]. Simulation has the potential to affect this learning curve [30], but role modeling is likely to remain a crucial part of procedural as well as non-procedural training. The specific quality measures assessed here are more related to attitude and approach than to innate or acquired mechanical skills, as demonstrated by studies showing that interventions can rapidly alter individuals’ WT and ADR [21]. This study implies that successful role modeling of attitudes is an essential component of procedural competence, a finding in line with earlier results that personality traits strongly influence teaching in both procedural and non-procedural settings [31].

There are several strengths to this study. This is a novel approach to endoscopy education with analyses derived from data clearly linked to patient outcomes. Screening colonoscopy is a robust framework for this question because the crucial quality metrics are well established and routinely quantified. Observer bias has the potential to alter the supervisor – trainee interaction; in this study, none of the supervisors or trainees knew that their performance data was being captured and utilized to study role modeling. The study was large, covered many years, and covered hundreds of distinct supervisor – trainee pairings. Sensitivity analyses conducted on important demographic subsets demonstrated either the same associations or trends in the same direction as the primary analysis.

There are limitations to this study. It was retrospective and conducted within a single endoscopy suite at an academic medical center, which may limit its generalizability. The relationship between supervisor ADR category and trainee ADR did not meet statistical significance following exclusion of outlying trainee performers, suggesting that the results are not as robust as for the WT category; however, the trend remained unchanged. Adjustment for multiple statistical tests was not included in the analysis, raising the possibility of type 1 error. The WT data was only available for a small subset of trainee exams, which may have introduced bias. Teaching manner may have influenced trainee behavior but was not captured in the study. It is possible that supervisors were directly involved in the performance of a subset of the trainee exams. Due to the fact that the analysis involved senior fellows, however, supervisor involvement was likely limited to the insertion phase of challenging colonoscopies or to complex polypectomy maneuvers, rather than the withdrawal portion of the colonoscopy during which the colon is examined for polyps and which is most relevant for the outcome measures of WT and ADR that we chose to study.

In summary, we have shown that trainees’ behavior may reflect the unobserved characteristics of supervisors while performing screening colonoscopies. Specifically, we have shown that, if the attending physician withdraws slowly while unobserved, the fellow appears to withdraw slowly. Moreover, if the supervisor finds more adenomatous polyps while unobserved, the trainee tends to find more adenomatous polyps. This suggests both that the best practitioners may make the best teachers and that private characteristics may influence the performance of trainees even when not directly observed. Role modeling is likely to remain the cornerstone of medical education in the near future. Interventions that change or modify supervisors’ behaviors may improve endoscopy education, regardless of whether trainees are directly targeted by these interventions.


#
#

Competing interests

None

Acknowledgments

Dr Freedberg was funded in part by the American Gastroenterological Association (AGA) Research Scholar Award and by the National Institutes of Health (NIH K23 DK111847).

  • References

  • 1 Sawyer T, White M, Zaveri P. et al. Learn, see, practice, prove, do, maintain: an evidence-based pedagogical framework for procedural skill training in medicine. Acad Med 2015; 90: 1025-1033
  • 2 Cruess SR, Cruess RL, Steinert Y. Role modelling – making the most of a powerful teaching strategy. BMJ 2008; 336: 718-721
  • 3 Rodriguez-Paz JM, Kennedy M, Salas E. et al. Beyond “see one, do one, teach one”: toward a different training paradigm. Postgrad Med J 2009; 85: 244-249
  • 4 Drolet BC, Brower JP, Miller BM. Trainee involvement in patient care: A necessity and reality in teaching hospitals. J Grad Med Educ 2017; 9: 159-161
  • 5 Harden RM, Stevenson M, Downie WW. et al. Assessment of clinical competence using objective structured examination. BMJ 1975; 1: 447-451
  • 6 Mir MA, Marshall RJ, Evans RW. et al. Comparison between videotape and personal teaching as methods of communicating clinical skills to medical students. BMJ (Clin Res Ed) 1984; 289: 31-34
  • 7 Ziv A, Wolpe PR, Small SD. et al. Simulation-based medical education: an ethical imperative. Acad Med 2003; 78: 783-788
  • 8 Benbassat J. Role modeling in medical education: the importance of a reflective imitation. Acad Med 2014; 89: 550-554
  • 9 Ilic D, Harding J, Allan C. et al. What are the attributes of a good health educator?. Int J Med Educ 2016; 7: 206-211
  • 10 Bittner JGt, Coverdill JE, Imam T. et al. Do increased training requirements in gastrointestinal endoscopy and advanced laparoscopy necessitate a paradigm shift? A survey of program directors in surgery. J Surg Educ 2008; 65: 418-430
  • 11 Kenny NP, Mann KV, MacLeod H. Role modeling in physicians’ professional formation: reconsidering an essential but untapped educational strategy. Acad Med 2003; 78: 1203-1210
  • 12 Rex DK, Schoenfeld PS, Cohen J. et al. Quality indicators for colonoscopy. Gastrointest Endosc 2015; 81: 31-53
  • 13 Rex DK, Johnson DA, Anderson JC. et al. American College of Gastroenterology guidelines for colorectal cancer screening 2009 [corrected]. Am J Gastroenterol 2009; 104: 739-750
  • 14 Levin B, Lieberman DA, McFarland B. et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology 2008; 134: 1570-1595
  • 15 Barclay RL, Vicari JJ, Doughty AS. et al. Colonoscopic withdrawal times and adenoma detection during screening colonoscopy. NEJM 2006; 355: 2533-2541
  • 16 Shaukat A, Rector TS, Church TR. et al. Longer withdrawal time is associated with a reduced incidence of interval cancer after screening colonoscopy. Gastroenterology 2015; 149: 952-957
  • 17 Blot S, Koulenti D, Dimopoulos G. et al. Prevalence, risk factors, and mortality for ventilator-associated pneumonia in middle-aged, old, and very old critically ill patients. Crit Care Med 2014; 42: 601-609
  • 18 Corley DA, Jensen CD, Marks AR. et al. Adenoma detection rate and risk of colorectal cancer and death. NEJM 2014; 370: 1298-1306
  • 19 Kitsis EA, Goldsammler M. Physician shadowing: a review of the literature and proposal for guidelines. Acad Med 2013; 88: 102-110
  • 20 See WA, Fisher RJ, Winfield HN. et al. Laparoscopic surgical training: effectiveness and impact on urological surgical practice patterns. J Urol 1993; 149: 1054-1057
  • 21 Kaminski MF, Wieszczy P, Rupinski M. et al. Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death. Gastroenterology 2017; 153: 98-105
  • 22 Kaminski MF, Anderson J, Valori R. et al. Leadership training to improve adenoma detection rate in screening colonoscopy: a randomised trial. Gut 2016; 65: 616-624
  • 23 Wright S, Wong A, Newill C. The impact of role models on medical students. J Gen Intern Med 1997; 12: 53-56
  • 24 Wright SM, Kern DE, Kolodner K. et al. Attributes of excellent attending-physician role models. NEJM 1998; 339: 1986-1993
  • 25 Elzubeir MA, Rizk DE. Identifying characteristics that students, interns and residents look for in their role models. Med Educ 2001; 35: 272-277
  • 26 Wright SM, Carrese JA. Excellence in role modelling: insight and perspectives from the pros. CMAJ 2002; 167: 638-643
  • 27 Spier BJ, Benson M, Pfau PR. et al. Colonoscopy training in gastroenterology fellowships: determining competence. Gastrointest Endosc 2010; 71: 319-324
  • 28 Cass OW, Freeman ML, Peine CJ. et al. Objective evaluation of endoscopy skills during training. Ann Intern Med 1993; 118: 40-44
  • 29 Chak A, Cooper GS, Blades EW. et al. Prospective assessment of colonoscopic intubation skills in trainees. Gastrointest Endosc 1996; 44: 54-57
  • 30 Gallagher AG, Ritter EM, Champion H. et al. Virtual reality simulation for the operating room: proficiency-based training as a paradigm shift in surgical skills training. Ann Surg 2005; 241: 364-372
  • 31 Scheepers RA, Lombarts KM, van Aken MA. et al. Personality traits affect teaching performance of attending physicians: results of a multi-center observational study. PLoS One 2014; 9: e98107

Corresponding author

Srihari Mahadev, MD MS
1283 York Ave
9th Floor
New York
NY 10065
USA   
Fax: +1-888-247-2593   

  • References

  • 1 Sawyer T, White M, Zaveri P. et al. Learn, see, practice, prove, do, maintain: an evidence-based pedagogical framework for procedural skill training in medicine. Acad Med 2015; 90: 1025-1033
  • 2 Cruess SR, Cruess RL, Steinert Y. Role modelling – making the most of a powerful teaching strategy. BMJ 2008; 336: 718-721
  • 3 Rodriguez-Paz JM, Kennedy M, Salas E. et al. Beyond “see one, do one, teach one”: toward a different training paradigm. Postgrad Med J 2009; 85: 244-249
  • 4 Drolet BC, Brower JP, Miller BM. Trainee involvement in patient care: A necessity and reality in teaching hospitals. J Grad Med Educ 2017; 9: 159-161
  • 5 Harden RM, Stevenson M, Downie WW. et al. Assessment of clinical competence using objective structured examination. BMJ 1975; 1: 447-451
  • 6 Mir MA, Marshall RJ, Evans RW. et al. Comparison between videotape and personal teaching as methods of communicating clinical skills to medical students. BMJ (Clin Res Ed) 1984; 289: 31-34
  • 7 Ziv A, Wolpe PR, Small SD. et al. Simulation-based medical education: an ethical imperative. Acad Med 2003; 78: 783-788
  • 8 Benbassat J. Role modeling in medical education: the importance of a reflective imitation. Acad Med 2014; 89: 550-554
  • 9 Ilic D, Harding J, Allan C. et al. What are the attributes of a good health educator?. Int J Med Educ 2016; 7: 206-211
  • 10 Bittner JGt, Coverdill JE, Imam T. et al. Do increased training requirements in gastrointestinal endoscopy and advanced laparoscopy necessitate a paradigm shift? A survey of program directors in surgery. J Surg Educ 2008; 65: 418-430
  • 11 Kenny NP, Mann KV, MacLeod H. Role modeling in physicians’ professional formation: reconsidering an essential but untapped educational strategy. Acad Med 2003; 78: 1203-1210
  • 12 Rex DK, Schoenfeld PS, Cohen J. et al. Quality indicators for colonoscopy. Gastrointest Endosc 2015; 81: 31-53
  • 13 Rex DK, Johnson DA, Anderson JC. et al. American College of Gastroenterology guidelines for colorectal cancer screening 2009 [corrected]. Am J Gastroenterol 2009; 104: 739-750
  • 14 Levin B, Lieberman DA, McFarland B. et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology 2008; 134: 1570-1595
  • 15 Barclay RL, Vicari JJ, Doughty AS. et al. Colonoscopic withdrawal times and adenoma detection during screening colonoscopy. NEJM 2006; 355: 2533-2541
  • 16 Shaukat A, Rector TS, Church TR. et al. Longer withdrawal time is associated with a reduced incidence of interval cancer after screening colonoscopy. Gastroenterology 2015; 149: 952-957
  • 17 Blot S, Koulenti D, Dimopoulos G. et al. Prevalence, risk factors, and mortality for ventilator-associated pneumonia in middle-aged, old, and very old critically ill patients. Crit Care Med 2014; 42: 601-609
  • 18 Corley DA, Jensen CD, Marks AR. et al. Adenoma detection rate and risk of colorectal cancer and death. NEJM 2014; 370: 1298-1306
  • 19 Kitsis EA, Goldsammler M. Physician shadowing: a review of the literature and proposal for guidelines. Acad Med 2013; 88: 102-110
  • 20 See WA, Fisher RJ, Winfield HN. et al. Laparoscopic surgical training: effectiveness and impact on urological surgical practice patterns. J Urol 1993; 149: 1054-1057
  • 21 Kaminski MF, Wieszczy P, Rupinski M. et al. Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death. Gastroenterology 2017; 153: 98-105
  • 22 Kaminski MF, Anderson J, Valori R. et al. Leadership training to improve adenoma detection rate in screening colonoscopy: a randomised trial. Gut 2016; 65: 616-624
  • 23 Wright S, Wong A, Newill C. The impact of role models on medical students. J Gen Intern Med 1997; 12: 53-56
  • 24 Wright SM, Kern DE, Kolodner K. et al. Attributes of excellent attending-physician role models. NEJM 1998; 339: 1986-1993
  • 25 Elzubeir MA, Rizk DE. Identifying characteristics that students, interns and residents look for in their role models. Med Educ 2001; 35: 272-277
  • 26 Wright SM, Carrese JA. Excellence in role modelling: insight and perspectives from the pros. CMAJ 2002; 167: 638-643
  • 27 Spier BJ, Benson M, Pfau PR. et al. Colonoscopy training in gastroenterology fellowships: determining competence. Gastrointest Endosc 2010; 71: 319-324
  • 28 Cass OW, Freeman ML, Peine CJ. et al. Objective evaluation of endoscopy skills during training. Ann Intern Med 1993; 118: 40-44
  • 29 Chak A, Cooper GS, Blades EW. et al. Prospective assessment of colonoscopic intubation skills in trainees. Gastrointest Endosc 1996; 44: 54-57
  • 30 Gallagher AG, Ritter EM, Champion H. et al. Virtual reality simulation for the operating room: proficiency-based training as a paradigm shift in surgical skills training. Ann Surg 2005; 241: 364-372
  • 31 Scheepers RA, Lombarts KM, van Aken MA. et al. Personality traits affect teaching performance of attending physicians: results of a multi-center observational study. PLoS One 2014; 9: e98107

Zoom Image
Fig. 1 Flow chart summarizing study design, primary exposures, and primary outcomes.
Zoom Image
Supplementary Fig. 1 a Withdrawal time (WT) for 22 physicians who directly supervised trainee procedures, calculated from 19 376 procedures performed without trainees. b Adenoma detection rate (ADR) for 22 physicians who directly supervised trainee procedures, calculated from 19 376 procedures performed without trainees.
Zoom Image
Fig. 2 Trainee withdrawal time (WT) and adenoma detection rate (ADR), stratified by supervisor withdrawal time category and adenoma detection rate category.
Zoom Image
Supplementary Fig.  2 Stratified analysis based on procedure indication. a Trainee withdrawal time (WT) and adenoma detection rate (ADR) among 2171 procedures with adequate preparation of the bowel, stratified by supervisor WT and ADR category. b Trainee WT and ADR among 2357 procedures performed for screening, stratified by supervisor withdrawal time and adenoma detection rate category.