Lachlan Dick MBChB , Victoria Ruth Tallentire MD , Annemarie B. Docherty PhD , Douglas S. Smink MD, MPH , Richard JE Skipworth MD , Steven Yule PhD , Technology-Enhanced Surgical Training (TEST) Consensus Group
{"title":"手术表现的数据驱动指标:技术增强手术训练(TEST)德尔菲共识研究。","authors":"Lachlan Dick MBChB , Victoria Ruth Tallentire MD , Annemarie B. Docherty PhD , Douglas S. Smink MD, MPH , Richard JE Skipworth MD , Steven Yule PhD , Technology-Enhanced Surgical Training (TEST) Consensus Group","doi":"10.1016/j.jsurg.2025.103701","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Technology-enhanced assessment of operative performance offers greater objectivity and reliability than traditional methods. However, consensus on the most critical metrics for informing the future of surgical training is lacking, and guidance on optimal application of these analytics to enhance feedback is needed. This study aimed to establish consensus on advanced operative performance metrics in surgical training and identify applications to enhance feedback.</div></div><div><h3>Design</h3><div>Data-driven 3-round Delphi method, where experts iteratively rated performance metrics derived from the surgical literature on a 7-point Likert scale. Statements reaching the <em>a priori</em> consensus threshold [round 1: > 75% rating => 6; round 2 + 3 > 50% rating => 6] were included in the final consensus statement.</div></div><div><h3>Setting</h3><div>Electronic survey, using the research electronic data capture (REDCap) system.</div></div><div><h3>Participants</h3><div>A pan-specialty, international panel of 57 surgical trainers, trainees and researchers.</div></div><div><h3>Results</h3><div>Twenty-two statements met the consensus threshold, of which 10 represented individual training specific metrics. Technical metrics were: dissection in the correct tissue plane (58.1% consensus); economy of motion (58.1%); and technical errors (53.5%). Non-technical metrics were: situation awareness (60.5%); communication (55.8%); decision -making (51.2%); and cognitive load (51.2%). Outcome metrics included: a safety score (60.5%); duration to react to adverse events (60.5%); and a global performance score (53.5%). Suggested applications to surgical training included: comparing individual metrics over time (65.1%); benchmarking against the average performance of trainees with similar experience (55.8%); and guiding formative assessments (51.2%).</div></div><div><h3>Conclusions</h3><div>This Delphi study established international consensus on advanced operative performance metrics, providing a foundation for improved feedback in surgical training. Demonstrating validity of existing metrics and developing novel ones that were highly ranked are the critical next steps to integrate advanced technologies into surgical training curricula, enhancing trainee development and patient safety.</div></div>","PeriodicalId":50033,"journal":{"name":"Journal of Surgical Education","volume":"82 11","pages":"Article 103701"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-Driven Metrics of Operative Performance: The Technology-Enhanced Surgical Training (TEST) Delphi Consensus Study\",\"authors\":\"Lachlan Dick MBChB , Victoria Ruth Tallentire MD , Annemarie B. Docherty PhD , Douglas S. Smink MD, MPH , Richard JE Skipworth MD , Steven Yule PhD , Technology-Enhanced Surgical Training (TEST) Consensus Group\",\"doi\":\"10.1016/j.jsurg.2025.103701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>Technology-enhanced assessment of operative performance offers greater objectivity and reliability than traditional methods. However, consensus on the most critical metrics for informing the future of surgical training is lacking, and guidance on optimal application of these analytics to enhance feedback is needed. This study aimed to establish consensus on advanced operative performance metrics in surgical training and identify applications to enhance feedback.</div></div><div><h3>Design</h3><div>Data-driven 3-round Delphi method, where experts iteratively rated performance metrics derived from the surgical literature on a 7-point Likert scale. Statements reaching the <em>a priori</em> consensus threshold [round 1: > 75% rating => 6; round 2 + 3 > 50% rating => 6] were included in the final consensus statement.</div></div><div><h3>Setting</h3><div>Electronic survey, using the research electronic data capture (REDCap) system.</div></div><div><h3>Participants</h3><div>A pan-specialty, international panel of 57 surgical trainers, trainees and researchers.</div></div><div><h3>Results</h3><div>Twenty-two statements met the consensus threshold, of which 10 represented individual training specific metrics. Technical metrics were: dissection in the correct tissue plane (58.1% consensus); economy of motion (58.1%); and technical errors (53.5%). Non-technical metrics were: situation awareness (60.5%); communication (55.8%); decision -making (51.2%); and cognitive load (51.2%). Outcome metrics included: a safety score (60.5%); duration to react to adverse events (60.5%); and a global performance score (53.5%). Suggested applications to surgical training included: comparing individual metrics over time (65.1%); benchmarking against the average performance of trainees with similar experience (55.8%); and guiding formative assessments (51.2%).</div></div><div><h3>Conclusions</h3><div>This Delphi study established international consensus on advanced operative performance metrics, providing a foundation for improved feedback in surgical training. Demonstrating validity of existing metrics and developing novel ones that were highly ranked are the critical next steps to integrate advanced technologies into surgical training curricula, enhancing trainee development and patient safety.</div></div>\",\"PeriodicalId\":50033,\"journal\":{\"name\":\"Journal of Surgical Education\",\"volume\":\"82 11\",\"pages\":\"Article 103701\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Surgical Education\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S193172042500282X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Surgical Education","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S193172042500282X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Data-Driven Metrics of Operative Performance: The Technology-Enhanced Surgical Training (TEST) Delphi Consensus Study
Objectives
Technology-enhanced assessment of operative performance offers greater objectivity and reliability than traditional methods. However, consensus on the most critical metrics for informing the future of surgical training is lacking, and guidance on optimal application of these analytics to enhance feedback is needed. This study aimed to establish consensus on advanced operative performance metrics in surgical training and identify applications to enhance feedback.
Design
Data-driven 3-round Delphi method, where experts iteratively rated performance metrics derived from the surgical literature on a 7-point Likert scale. Statements reaching the a priori consensus threshold [round 1: > 75% rating => 6; round 2 + 3 > 50% rating => 6] were included in the final consensus statement.
Setting
Electronic survey, using the research electronic data capture (REDCap) system.
Participants
A pan-specialty, international panel of 57 surgical trainers, trainees and researchers.
Results
Twenty-two statements met the consensus threshold, of which 10 represented individual training specific metrics. Technical metrics were: dissection in the correct tissue plane (58.1% consensus); economy of motion (58.1%); and technical errors (53.5%). Non-technical metrics were: situation awareness (60.5%); communication (55.8%); decision -making (51.2%); and cognitive load (51.2%). Outcome metrics included: a safety score (60.5%); duration to react to adverse events (60.5%); and a global performance score (53.5%). Suggested applications to surgical training included: comparing individual metrics over time (65.1%); benchmarking against the average performance of trainees with similar experience (55.8%); and guiding formative assessments (51.2%).
Conclusions
This Delphi study established international consensus on advanced operative performance metrics, providing a foundation for improved feedback in surgical training. Demonstrating validity of existing metrics and developing novel ones that were highly ranked are the critical next steps to integrate advanced technologies into surgical training curricula, enhancing trainee development and patient safety.
期刊介绍:
The Journal of Surgical Education (JSE) is dedicated to advancing the field of surgical education through original research. The journal publishes research articles in all surgical disciplines on topics relative to the education of surgical students, residents, and fellows, as well as practicing surgeons. Our readers look to JSE for timely, innovative research findings from the international surgical education community. As the official journal of the Association of Program Directors in Surgery (APDS), JSE publishes the proceedings of the annual APDS meeting held during Surgery Education Week.