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      Measurement of Nontechnical Skills During Robotic-Assisted Surgery Using Sensor-Based Communication and Proximity Metrics

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      , PhD 1 , 2 , , MD 3 , , MS 3 , , MD, PhD 3 , , PhD 1 ,
      JAMA Network Open
      American Medical Association

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          Abstract

          This cohort study uses sensor-based communication and proximity metrics to assess surgeon nontechnical skills during robotic-assisted surgery.

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          Most cited references6

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          Surgeons' non-technical skills in the operating room: reliability testing of the NOTSS behavior rating system.

          Previous research has shown that surgeons' intraoperative non-technical skills are related to surgical outcomes. The aim of this study was to evaluate the reliability of the NOTSS (Non-technical Skills for Surgeons) behavior rating system. Based on task analysis, the system incorporates five categories of skills for safe surgical practice (Situation Awareness, Decision Making, Task Management, Communication & Teamwork, and Leadership). Consultant (attending) surgeons (n = 44) from five Scottish hospitals attended one of six experimental sessions and were trained to use the NOTSS system. They then used the system to rate consultant surgeons' behaviors in six simulated operating room scenarios that were presented using video. Surgeons' ratings of the behaviors demonstrated in each scenario were compared to expert ratings ("accuracy"), and assessed for inter-rater reliability and internal consistency. The NOTSS system had a consistent internal structure. Although raters had minimal training, rating "accuracy" for acceptable/unacceptable behavior was above 60% for all categories, with mean of 0.67 scale points difference from reference (expert) ratings (on 4-point scale). For inter-rater reliability, the mean values of within-group agreement (r (wg)) were acceptable for the categories Communication & Teamwork (.70), and Leadership (.72), but below a priori criteria for other categories. Intra-class correlation coefficients (ICC) indicated high agreement using average measures (values were .95-.99). With the requisite training, the prototype NOTSS system could be used reliably by surgeons to observe and rate surgeons' behaviors. The instrument should now be tested for usability in the operating room.
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            Association of Coworker Reports About Unprofessional Behavior by Surgeons With Surgical Complications in Their Patients

            Do patients of surgeons with a higher number of coworker reports about unprofessional behavior experience a higher rate of postoperative complications than patients whose surgeons have no such reports? Among 13 653 patients in this cohort study undergoing surgery performed by 202 surgeons, patients whose surgeons had a higher number of coworker reports had a significantly increased risk of surgical and medical complications. Surgeons who model unprofessional behaviors may help to undermine a culture of safety, threaten teamwork, and thereby increase risk for medical errors and surgical complications. This cohort study assesses the association between surgeons with higher numbers of reports from coworkers about unprofessional behaviors and the risk for postoperative complications in their patients. For surgical teams, high reliability and optimal performance depend on effective communication, mutual respect, and continuous situational awareness. Surgeons who model unprofessional behaviors may undermine a culture of safety, threaten teamwork, and thereby increase the risk for medical errors and surgical complications. To test the hypothesis that patients of surgeons with higher numbers of reports from coworkers about unprofessional behaviors are at greater risk for postoperative complications than patients whose surgeons generate fewer coworker reports. This retrospective cohort study assessed data from 2 geographically diverse academic medical centers that participated in the National Surgical Quality Improvement Program (NSQIP) and recorded and acted on electronic reports of safety events from coworkers describing unprofessional behavior by surgeons. Patients included in the NSQIP database who underwent inpatient or outpatient operations at 1 of the 2 participating sites from January 1, 2012, through December 31, 2016, were eligible. Patients were excluded if they were younger than 18 years on the date of the operation or if the attending surgeon had less than 36 months of monitoring for coworker reports preceding the date of the operation. Data were analyzed from August 8, 2018, through April 9, 2019. Coworker reports about unprofessional behavior by the surgeon in the 36 months preceding the date of the operation. Postoperative surgical or medical complications, as defined by the NSQIP, within 30 days of the operation. Among 13 653 patients in the cohort (54.0% [7368 ] female; mean [SD] age, 57 [16] years) who underwent operations performed by 202 surgeons (70.8% [143] male), 1583 (11.6%) experienced a complication, including 825 surgical (6.0%) and 1070 medical (7.8%) complications. Patients whose surgeons had more coworker reports were significantly more likely to experience any complication (0 reports, 954 of 8916 [10.7%]; ≥4 reports, 294 of 2087 [14.1%]; P  < .001), any surgical complication (0 reports, 516 of 8916 [5.8%]; ≥4 reports, 159 of 2087 [7.6%]; P  < .01), or any medical complication (0 reports, 634 of 8916 [7.1%]; ≥4 reports, 196 of 2087 [9.4%]; P  < .001). The adjusted complication rate was 14.3% higher for patients whose surgeons had 1 to 3 reports and 11.9% higher for patients whose surgeons had 4 or more reports compared with patients whose surgeons had no coworker reports ( P  = .05). Patients whose surgeons had higher numbers of coworker reports about unprofessional behavior in the 36 months before the patient’s operation appeared to be at increased risk of surgical and medical complications. These findings suggest that organizations interested in ensuring optimal patient outcomes should focus on addressing surgeons whose behavior toward other medical professionals may increase patients’ risk for adverse outcomes.
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              Anticipation, teamwork and cognitive load: chasing efficiency during robot-assisted surgery.

              Robot-assisted surgery (RAS) has changed the traditional operating room (OR), occupying more space with equipment and isolating console surgeons away from the patients and their team. We aimed to evaluate how anticipation of surgical steps and familiarity between team members impacted efficiency.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                2 November 2021
                November 2021
                2 November 2021
                : 4
                : 11
                : e2132209
                Affiliations
                [1 ]Purdue University School of Industrial Engineering, West Lafayette, Indiana
                [2 ]Department of Industrial Engineering, Clemson University, Clemson, South Carolina
                [3 ]Department of Surgery, Indiana University School of Medicine, Indianapolis
                Author notes
                Article Information
                Accepted for Publication: August 29, 2021.
                Published: November 2, 2021. doi:10.1001/jamanetworkopen.2021.32209
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Cha JS et al. JAMA Network Open.
                Corresponding Author: Denny Yu, PhD, Purdue University School of Industrial Engineering, 315 N Grant St, GRIS 268, West Lafayette, IN 47907 ( dennyyu@ 123456purdue.edu ).
                Author Contributions: Drs Cha and Yu had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Cha, Stefanidis, Yu.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Cha, Athanasiadis, Yu.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Cha, Yu.
                Obtained funding: Yu.
                Administrative, technical, or material support: Athanasiadis, Yu.
                Supervision: Stefanidis, Yu.
                Conflict of Interest Disclosures: Dr Cha reported receiving grants from Intuitive Surgical, Indiana University Health, and the Indiana Clinical and Translational Sciences Institute during the conduct of the study. Dr Athanasiadis reported receiving grants from Intuitive Surgical during the conduct of the study. Dr Stefanidis reported receiving grants from The Advances in Medicine (AIM) from Cook Medical during the conduct of the study. Dr Yu reported receiving grants from National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Science Award ULI TR002529, The Advances in Medicine (AIM) from Cook Medical, and Surgical Training and Education Research Grant from Intuitive Surgical during the conduct of the study; and grants from the Society of American Gastrointestinal and Endoscopic Surgeons, National Science Foundation (IIS-1928661), and National Institutes of Health–NIBIB (1R21EB026177) outside the submitted work. No other disclosures were reported.
                Funding/Support: This research was supported, in part, by a Surgical Training and Education Research Grant from Intuitive Surgical, as well as in part by Indiana University Health and the Indiana Clinical and Translational Sciences Institute, funded in part by grant ULI TR002529 from the National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Science Award, and The Advances in Medicine (AIM) grant from Cook Medical.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: We thank Yuhao Peng, MS (Carilion Clinic), David Wu, BS (Purdue University), and Fabio Garofalo, BS (Purdue University), for their assistance with data analysis. No one received financial compensation for his or her contributions.
                Article
                zld210236
                10.1001/jamanetworkopen.2021.32209
                8564574
                34726750
                1ad81b03-99d4-43ad-b227-925041d2c274
                Copyright 2021 Cha JS et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 18 June 2021
                : 29 August 2021
                Categories
                Research
                Research Letter
                Online Only
                Medical Education

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