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      Novel Assessments of Technical and Nontechnical Cardiac Surgery Quality: Protocol for a Mixed Methods Study

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          Abstract

          Background

          Of the 150,000 patients annually undergoing coronary artery bypass grafting, 35% develop complications that increase mortality 5 fold and expenditure by 50%. Differences in patient risk and operative approach explain only 2% of hospital variations in some complications. The intraoperative phase remains understudied as a source of variation, despite its complexity and amenability to improvement.

          Objective

          The objectives of this study are to (1) investigate the relationship between peer assessments of intraoperative technical skills and nontechnical practices with risk-adjusted complication rates and (2) evaluate the feasibility of using computer-based metrics to automate the assessment of important intraoperative technical skills and nontechnical practices.

          Methods

          This multicenter study will use video recording, established peer assessment tools, electronic health record data, registry data, and a high-dimensional computer vision approach to (1) investigate the relationship between peer assessments of surgeon technical skills and variability in risk-adjusted patient adverse events; (2) investigate the relationship between peer assessments of intraoperative team-based nontechnical practices and variability in risk-adjusted patient adverse events; and (3) use quantitative and qualitative methods to explore the feasibility of using objective, data-driven, computer-based assessments to automate the measurement of important intraoperative determinants of risk-adjusted patient adverse events.

          Results

          The project has been funded by the National Heart, Lung and Blood Institute in 2019 (R01HL146619). Preliminary Institutional Review Board review has been completed at the University of Michigan by the Institutional Review Boards of the University of Michigan Medical School.

          Conclusions

          We anticipate that this project will substantially increase our ability to assess determinants of variation in complication rates by specifically studying a surgeon’s technical skills and operating room team member nontechnical practices. These findings may provide effective targets for future trials or quality improvement initiatives to enhance the quality and safety of cardiac surgical patient care.

          International Registered Report Identifier (IRRID)

          PRR1-10.2196/22536

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          Most cited references47

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          The Pascal Visual Object Classes (VOC) Challenge

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            Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial.

            Many research designs require the assessment of inter-rater reliability (IRR) to demonstrate consistency among observational ratings provided by multiple coders. However, many studies use incorrect statistical procedures, fail to fully report the information necessary to interpret their results, or do not address how IRR affects the power of their subsequent analyses for hypothesis testing. This paper provides an overview of methodological issues related to the assessment of IRR with a focus on study design, selection of appropriate statistics, and the computation, interpretation, and reporting of some commonly-used IRR statistics. Computational examples include SPSS and R syntax for computing Cohen's kappa and intra-class correlations to assess IRR.
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              • Record: found
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              Lucas-Kanade 20 Years On: A Unifying Framework

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                Author and article information

                Contributors
                Journal
                JMIR Res Protoc
                JMIR Res Protoc
                ResProt
                JMIR Research Protocols
                JMIR Publications (Toronto, Canada )
                1929-0748
                January 2021
                8 January 2021
                : 10
                : 1
                : e22536
                Affiliations
                [1 ] Department of Cardiac Surgery University of Michigan Ann Arbor, MI United States
                [2 ] Department of Clinical Surgery University of Edinburgh Edinburgh United Kingdom
                [3 ] Department of Anesthesiology University of Michigan Ann Arbor, MI United States
                [4 ] STRATUS Center for Medical Simulation Department of Emergency Medicine, Brigham and Women's Hospital Harvard Medical School Boston, MA United States
                [5 ] Department of Electrical Engineering and Computer Science School of Engineering University of Michigan Ann Arbor, MI United States
                [6 ] Department of Biostatistics School of Public Health University of Michigan Ann Arbor, MI United States
                [7 ] Department of Internal Medicine University of Michigan Ann Arbor, MI United States
                [8 ] School of Nursing University of Michigan Ann Arbor, MI United States
                Author notes
                Corresponding Author: Donald Likosky likosky@ 123456umich.edu
                Author information
                https://orcid.org/0000-0003-0416-9359
                https://orcid.org/0000-0001-9889-9090
                https://orcid.org/0000-0002-9697-2212
                https://orcid.org/0000-0003-4959-5052
                https://orcid.org/0000-0001-6454-9594
                https://orcid.org/0000-0003-3331-3583
                https://orcid.org/0000-0003-2111-8131
                https://orcid.org/0000-0001-7648-7239
                https://orcid.org/0000-0003-4502-6012
                https://orcid.org/0000-0001-5080-5630
                https://orcid.org/0000-0001-7704-5141
                https://orcid.org/0000-0003-4430-9969
                https://orcid.org/0000-0002-0850-9667
                https://orcid.org/0000-0002-6101-5535
                Article
                v10i1e22536
                10.2196/22536
                7822723
                33416505
                61a79f69-6991-4666-9038-122dc8f5cd5e
                ©Donald Likosky, Steven J Yule, Michael R Mathis, Roger D Dias, Jason J Corso, Min Zhang, Sarah L Krein, Matthew D Caldwell, Nathan Louis, Allison M Janda, Nirav J Shah, Francis D Pagani, Korana Stakich-Alpirez, Milisa M Manojlovich. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 08.01.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.

                History
                : 22 July 2020
                : 27 August 2020
                : 3 September 2020
                : 10 November 2020
                Categories
                Protocol
                Protocol

                cardiac surgery,quality,protocol,study,coronary artery bypass grafting surgery,complications,patient risk,variation,intraoperative,improvement

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