Laparoscopic vs robotic inguinal hernia repair: a comparison of learning curves and skill transference in general surgery residents.

BACKGROUND: There is no consensus on whether laparoscopic experience should be a prerequisite for robotic training. Further, there is limited information on skill transference between laparoscopic and robotic techniques. This study focused on the general surgery residents' learning curve and skill transference within the two minimally invasive platforms. METHODS: General surgery residents were observed during the performance of laparoscopic and robotic inguinal hernia repairs. The recorded data included objective measures (operative time, resident participation indicated by percent active time on console or laparoscopy relative to total case time, number of handoffs between the resident and attending), and subjective evaluations (preceptor and trainee assessments of operative performance) while controlling for case complexity, patient comorbidities, and residents' prior operative experience. Wilcoxon two-sample tests and Pearson Correlation coefficients were used for analysis. RESULTS: Twenty laparoscopic and forty-four robotic cases were observed. Mean operative times were 90 min for robotic and 95 min for laparoscopic cases (P = 0.4590). Residents' active participation time was 66% on the robotic platform and 37% for laparoscopic (P = < 0.0001). On average, hand-offs occurred 9.7 times during robotic cases and 6.3 times during laparoscopic cases (P = 0.0131). The mean number of cases per resident was 5.86 robotic and 1.67 laparoscopic (P = 0.0312). For robotic cases, there was a strong correlation between percent active resident participation and their prior robotic experience (r = 0.78) while there was a weaker correlation with prior laparoscopic experience (r = 0.47). On the other hand, prior robotic experience had minimal correlation with the percent active resident participation in laparoscopic cases (r = 0.12) and a weak correlation with prior laparoscopic experience (r = 0.37). CONCLUSION: The robotic platform may be a more effective teaching tool with a higher degree of entrustability indicated by the higher mean resident participation. We observed a greater degree of skill transference from laparoscopy to the robot, indicated by a higher degree of correlation between the resident's prior laparoscopic experience and the percent console time in robotic cases. There was minimal correlation between residents' prior robotic experience and their participation in laparoscopic cases. Our findings suggest that the learning curve for the robot may be shorter as prior robotic experience had a much stronger association with future robotic performance compared to the association observed in laparoscopy.

Distortions in the Balance Between Teaching and Efficiency in the Operating Room.

INTRODUCTION: The balance between teaching and operative efficiency (i.e., continuing operative case progression) is difficult for even the most experienced master surgeon educators. The purpose of this study was to explore influencing factors behind attending surgeons' decisions to break the balance between operative efficiency and teaching in the operating room. METHODS: Semistructured interviews were conducted with surgeons across the United States via Web-based video conferencing. The interviews were audio-recorded and transcribed. Qualitative analysis using the framework method was utilized, and emergent themes were identified. RESULTS: Twenty-three attending surgeons from 8 academic institutions and 11 surgical specialties completed interviews (14 men and 9 women). Attending surgeons consider a variety of factors associated with their dual roles (surgeon versus teacher) when balancing operative efficiency and providing appropriate independence for residents with oversight to promote autonomy. These were divided into surgeon-role-related factors (patient safety, financial factors, scheduling factors, preservation of faculty reputation for efficiency, and mode of operation) as well as teacher-role-related factors (preparation, level, and technical skill of the resident). These factors then informed attending surgeons' determinations about how the case was progressing, which prompted them to intervene and reduce resident autonomy or allow the resident to continue. CONCLUSIONS: Surgeons consider numerous factors when deciding how to balance resident teaching and autonomy while preserving operative efficiency. These findings provide helpful insights for surgical departments to consider inclusion in faculty-development programs, resident education, and systematic improvements.

Cost analysis of training residents in robotic-assisted surgery.

INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to higher costs. We investigated whether senior resident involvement in noncomplex robotic cholecystectomy (RC) and inguinal hernia (RIH) would take more time and cost more when compared to non-robotic cholecystectomy (NRC) and inguinal hernia repair (NRIH). METHODS: We extracted surgery duration and total cost of NRC, NRIH, RC, and RIH from 7/2016 to 6/2020 with senior resident (PGY4-5) involvement. We excluded complex cases as well as prisoner cases and those with new faculty and research residents. We assessed differences between robotic and non-robotic cases in surgery duration and total cost per minute, using one-way ANOVA. RESULTS: We included 1608 cases (non-robotic 1145 vs. robotic 463). On average, RC cases with a senior resident took less time than NRC (179.4 < 185.8, p = 0.401); surgery duration of RIH cases was similar with NRIH cases. The total cost per minute of RC cases with a senior resident on average was $9.30 higher than NRC cases for each minute incurred in the operating room but did not lead to a significant change in overall cost. RIH cases, on the other hand, cost less per minute than NRIH cases (114.1 < 126.5, p = 0.399). CONCLUSION: Training in robotic surgery is important. Noncomplex RC and RIH involving senior residents were not significantly longer nor did they incur significantly more cost than non-robotic procedures. Senior resident training in noncomplex robotic surgery can be efficient and can be included in the residency curriculum.

What influences general surgery residents' prospective entrustment and operative time in robotic inguinal hernia repairs.

INTRODUCTION: Teaching residents robotic-assisted inguinal hernia repair (RIHR) is an increasingly common extension of contemporary surgical training. This study sought to investigate what variables would influence operative time (OT) and resident prospective entrustment in RIHR cases. METHODS: We prospectively collected 68 resident RIHR operative performance evaluations with a validated instrument. Outpatient RIHR cases performed by 11 general surgery residents during 2020-2022 were included. The overall OT of matched cases was extracted from hospital billing; matched procedural step-specific OT was obtained from Intuitive Data Recorder (IDR). Statistical analysis was performed using Pearson correlation and one-way ANOVA. RESULTS: The evaluation instrument reliably assessed residents' RIHR performance (Cronbach's α = 0.93); residents' prospective entrustment strongly correlated with overall guidance provided by attending surgeon (r = 0.86, p < 0.0001) and operative plan and judgment (r = 0.85, p < 0.0001). The overall OT was significantly associated with resident's team management (r = - 0.35, p = 0.011). Procedural step-specific OT was significantly associated with residents' step-specific skill (r = - 0.32, p = 0.014). On average, RIHR cases with the highest level of prospective entrustment (Resident can teach junior) showed the shortest step-specific OT. Entrustment level 3 (Reactive guidance needed) was the turning point of all four RIHR procedural step-specific OT. CONCLUSIONS: Our findings suggest that in RIHR, attending guidance, resident operative plan and judgment, and resident technical skill contribute to resident prospective entrustment; resident team management, technical skill, and attending guidance influence operative time, which in turn impacts attendings' determination of resident prospective entrustment. Future studies with a larger sample size are needed to further validate the findings.

The robot doesn't lie: real-life validation of robotic performance metrics.

BACKGROUND: Degree of resident participation in a case is often used as a surrogate marker for operative autonomy, an essential element of surgical resident training. Previous studies have demonstrated a considerable disagreement between the perceptions of attending surgeons and trainees when it comes to estimating operative participation. The Da Vinci Surgical System dual console interface allows machine generated measurements of trainee's active participation, which has the potential to obviate the need for labor intensive direct observation of surgical procedures. However, the robotic metrics require validation. We present a comparison of operative participation as perceived by the resident, faculty, trained research staff observer (gold standard), and robotic machine generated data. METHODS: A total of 28 consecutive robotic inguinal hernia repair procedures were observed by research staff. Operative time, percent active time for the resident, and number of handoffs between the resident and attending were recorded by trained research staff in the operating room and the Da Vinci Surgical System. Attending and resident evaluations of operative performance and perceptions of percent active time for the resident were collected using standardized forms and compared with the research staff observed values and the robot-generated console data. Wilcoxon two-sample tests and Pearson Correlation coefficients statistical analysis were performed. RESULTS: Robotic inguinal hernia repair cases had a mean operative time of 91.3 (30) minutes and an attending-rated mean difficulty of 3.1 (1.26) out of 5. Residents were recorded to be the active surgeon 71.8% (17.7) of the total case time by research staff. There was a strong correlation (r = 0.77) in number of handoffs between faculty and trainee as recorded by the research staff and robot (4.28 (2.01) vs. 5.8 (3.04) respectively). The robotic machine generated data demonstrated the highest degree of association when compared to the gold standard (research staff observed data), with r = 0.98, p < 0.0001. Lower levels of association were seen with resident reported (r = 0.66) perceptions and faculty-reported (r = 0.55) perceptions of resident active operative time. CONCLUSIONS: Our findings suggest that robot-generated performance metrics are an extremely accurate and reliable measure of intraoperative resident participation indicated by a very strong correlation with the data recorded by research staff's direct observation of the case. Residents demonstrated a more accurate awareness of their degree of participation compared with faculty surgeons. With high accuracy and ease of use, robotic surgical system performance metrics have the potential to be a valuable tool in surgical training and skill assessment.

Expectations versus reality: trainee participation on the robotic console in academic surgery.

INTRODUCTION: Trainees underestimate the amount of operative autonomy they receive, whereas faculty overestimate; this has not been studied in robotics. We aimed to assess the perceptions and expectations of our general surgery trainees and faculty on robotic console participation in academic surgery. METHODS: A survey was administered to general surgery robotic faculty and trainees eligible to sit at the console. Participants estimated the average percentage of trainee console participation time (CPT) per case for robotic cholecystectomies (CCY) and inguinal hernia repairs (IHR) from January to June 2019. Trainees were additionally asked what CPT they expected according to their training level (novice or senior). Expected CPTs were compared to actual CPTs extracted from robotic console logs during the same time frame. RESULTS: Survey response rate was 80% for faculty (4 of 5) and 65% for trainees (15 of 23). Novices expected a higher CPT than they perceived in CCY (42.8% ± 14.8% vs 19.0% ± 17.2%, p = 0.03) and IHR (36.1% ± 17.6% vs. 10.7% ± 13.7%, p = 0.01), but in actuality, they did more CPT than perceived (by 34.9% in CCY, p < 0.01; 14% in IHR, p = 0.10). Senior trainees accurately perceived their CPT in IHR, but expected a higher CPT by 15.9% (p = 0.04). In CCY, seniors perceived a 23.8% higher CPT than in reality (p = 0.04). Faculty generally overperceived trainee CPT by 12.8-16.3% (p > 0.05). Compared to faculty, novices perceived lower CPTs in both CCY by 29.9% (p = 0.16) and IHR by 26.8% (p = 0.07), but seniors tended to agree with the faculty-perceived CPTs (p > 0.05). CONCLUSION: Our robotic trainees expect to do more on the console than they perceive. Faculty think they allow their trainees more participation than in reality. Compared to faculty perception, novice trainees perceive a much lower level of trainee participation than senior trainees do. Expectation setting and standardizing learning curves are important for robotic surgery training.

Behind the pattern: General surgery residsent autonomy in robotic surgery.

Objective: Robotic surgery is increasingly utilized and common in general surgery training programs. This study sought to better understand the factors that influence resident operative autonomy in robotic surgery. We hypothesized that resident seniority, surgeon work experience, surgeon robotic-assisted surgery (RAS) case volume, and procedure type influence general surgery residents' opportunities for autonomy in RAS as measured by percentage of resident individual console time (ICT). Methods: General surgery resident ICT data for robotic cholecystectomy (RC), inguinal hernia (RIH), and ventral hernia (RVH) operations performed on the dual-console Da Vinci surgical robotic system between July 2019 and June 2021 were extracted. Cases with postgraduate year (PGY) 2-5 residents participating as a console surgeon were included. A sequential explanatory mixed-methods approach was undertaken to explore the ICT results and we conducted secondary qualitative interviews with surgeons. Descriptive statistics and thematic analysis were applied. Results: Resident ICT data from 420 robotic cases (IH 200, RC 121, and VH 99) performed by 20 junior residents (PGY2-3), 18 senior residents (PGY4-5), and 9 attending surgeons were extracted. The average ICT per case was 26.8 % for junior residents and 42.4 % for senior residents. Compared to early-career surgeons, surgeons with over 10 years' work experience gave less ICT to junior (18.2 % vs. 32.0 %) and senior residents (33.9 % vs. 56.6 %) respectively. Surgeons' RAS case volume had no correlation with resident ICT (r = 0.003, p = 0.0003). On average, residents had the most ICT in RC (45.8 %), followed by RIH (36.7 %) and RVH (28.6 %). Interviews with surgeons revealed two potential reasons for these resident ICT patterns: 1) Surgeon assessment of resident training year/experience influenced decisions to grant ICT; 2) Surgeons' perceived operative time pressure inversely affected resident ICT. Conclusions: This study suggests resident ICT/autonomy in RC, RIH, and RVH are influenced by resident seniority level, surgeon work experience, and procedure type, but not related to surgeon RAS case volume. Design and implementation of an effective robotic training program must consider the external pressures at conflict with increased resident operative autonomy and seek to mitigate them.

What factors impact surgical operative time when teaching a resident in the operating room.

Purpose: Resident involvement would likely lead to prolonged operative time of a surgical case performed at academic medical centers. However, little is known about factors beneath this phenomenon. The purpose of this study was to investigate whether factors from case (procedure type, surgical case complexity, and surgical approach), teacher (attending surgeon experience and gender), and learner (resident postgraduate training year and gender) would influence operative time of surgical cases involved teaching a resident (SCT). Methods: A single-institution retrospective analysis of 3 common general surgery procedures, including cholecystectomies, colectomies, and inguinal hernia, with involvement of general surgery residents between 2016 and 2020 was conducted. Surgical operative time was defined as the "cut-to-close" time from incision to completion of wound closure. Analysis of variance for continuous variables and multivariable linear regression were applied. Results: A total of 4,417 eligible SCT were included. The average operative time was 114.8 ± 78.7 min. SCT with male resident involvement showed a significantly longer operative time than those with female residents (117 vs. 112, p = 0.01). Comparable operative time was observed between male and female attending surgeon cases (115.5 vs. 110.8, p = 0.15). SCT operating time decreased with increased resident training level, except for SCT with involvement of Year2 residents. SCT with Year5 residents demonstrated the lowest time to case completion (110.5 min); SCT with major complications took least time to complete (105.7 min). Univariate and multivariate analysis revealed resident training year level, resident gender, and case complexity as factors associated with significant differences in operative time. Attending surgeon experience, surgeon gender, surgical approach, and procedure type did not impact SCT operative time. Conclusion: Our study findings suggest resident training level, resident gender, and case complexity are factors significantly associated with SCT operative time of cholecystectomies, colectomies, and inguinal hernia. Attending surgeons are recommended to factor them into pre-operative planning.

Is Robotic Console Time a Surrogate for Resident Operative Autonomy?

OBJECTIVE: Robotic-assisted surgery is an increasing part of general surgery training, but resident autonomy on the robotic platform can be hard to quantify. Robotic console time (RCT), the percentage of time the resident controls the console, may be an appropriate measure of resident operative autonomy. This study aims to characterize the correlation between objective resident RCT and subjectively scored operative autonomy. METHODS: Using a validated resident performance evaluation instrument, we collected resident operative autonomy ratings from residents and attendings performing robotic cholecystectomy (RC) and robotic inguinal hernia repair (IH) at a university-based general surgery program between 9/2020-6/2021. We then extracted RCT data from the Intuitive surgical system. Descriptive statistics, t-tests and ANOVA were performed. RESULTS: A total of 31 robotic operations (13 RC, 18 IH) performed by 4 attending surgeons and 8 residents (4 junior, 4 senior) were matched and included. 83.9% of cases were scored by both attending and resident. The average RCT per case was 35.6%(95% CI 13.0%,58.3%) for junior residents (PGY 2-3) and 59.7%(CI 51.1%,68.3%) for senior residents (PGY 4-5). The mean autonomy evaluated by residents was 3.29(CI 2.85,3.73) out of a maximum score of 5, while the mean autonomy evaluated by attendings was 4.12(CI 3.68,4.55). RCT significantly correlated with subjective evaluations of resident autonomy (r=0.61, p=0.0003). RCT also moderately correlated with resident training level (r=0.5306, p<0.0001). Neither attending robotic experience nor operation type significantly correlated with RCT or autonomy evaluation scores. CONCLUSIONS: Our study suggests that resident console time is a valid surrogate for resident operative autonomy in robotic cholecystectomy and inguinal hernia repair. RCT may be a valuable measure in objective assessment of residents' operative autonomy and training efficiency. Future investigation into how RCT correlates with subjective and objective autonomy metrics such as verbal guidance or distinguishing critical operative steps is needed to validate the study findings further.