Literature DB >> 27913152

Development and Validation of an Objective Scoring Tool for Robot-Assisted Radical Prostatectomy: Prostatectomy Assessment and Competency Evaluation.

Ahmed A Hussein1, Khurshid R Ghani2, James Peabody3, Richard Sarle4, Ronney Abaza5, Daniel Eun6, Jim Hu7, Michael Fumo8, Brian Lane9, Jeffrey S Montgomery2, Nobuyuki Hinata10, Deborah Rooney11, Bryan Comstock12, Hei Kit Chan13, Sridhar S Mane13, James L Mohler13, Gregory Wilding13, David Miller2, Khurshid A Guru14.   

Abstract

PURPOSE: Comprehensive training and skill acquisition by urological surgeons are vital to optimize surgical outcomes and patient safety. We sought to develop and validate PACE (Prostatectomy Assessment and Competence Evaluation), an objective and procedure specific tool to assess the quality of robot-assisted radical prostatectomy.
MATERIALS AND METHODS: Development and content validation of PACE was performed by deconstructing robot-assisted radical prostatectomy into 7 key domains utilizing the Delphi methodology. Reliability and construct validation were then assessed using de-identified videos performed by practicing surgeons and fellows. Consensus for each domain was defined as achieving a content validity index of 0.75 or greater. Reliability was assessed by the intraclass correlation and construct validation using a mixed linear model accounting for multiple ratings on the same video.
RESULTS: After 3 rounds consensus was reached on wording, relevance of the skills assessed and concordance between the score assigned and the skill assessed. An intraclass correlation of 0.4 or greater was achieved for all domains. The expert group outperformed trainees in all domains but reached statistical significance in bladder drop (4.5 vs 3.4, p = 0.002), preparation of the prostate (4.4 vs 3.2, p <0.0001), seminal vesicle and posterior plane dissection (8.3 vs 6.8, p = 0.03), and neurovascular bundle preservation (4.1 vs 2.4, p <0.0001). Limitations included the lack of assessment of other key skills such as communication and decision making.
CONCLUSIONS: PACE is a structured, procedure specific and reliable tool that objectively measures surgical performance during robot-assisted radical prostatectomy. It can differentiate different levels of expertise and provide structured feedback to customize training and surgical quality improvement.
Copyright © 2017 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  credentialing; professional competence; prostate; prostatectomy; robotics

Mesh:

Year:  2016        PMID: 27913152     DOI: 10.1016/j.juro.2016.11.100

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  11 in total

1.  Development and validation of surgical training tool: cystectomy assessment and surgical evaluation (CASE) for robot-assisted radical cystectomy for men.

Authors:  Ahmed A Hussein; Kevin J Sexton; Paul R May; Maxwell V Meng; Abolfazl Hosseini; Daniel D Eun; Siamak Daneshmand; Bernard H Bochner; James O Peabody; Ronney Abaza; Eila C Skinner; Richard E Hautmann; Khurshid A Guru
Journal:  Surg Endosc       Date:  2018-04-13       Impact factor: 4.584

2.  A computer vision technique for automated assessment of surgical performance using surgeons' console-feed videos.

Authors:  Amir Baghdadi; Ahmed A Hussein; Youssef Ahmed; Lora A Cavuoto; Khurshid A Guru
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-11-20       Impact factor: 2.924

3.  Development of a technical checklist for the assessment of suturing in robotic surgery.

Authors:  Ahmad Guni; Nicholas Raison; Ben Challacombe; Shamim Khan; Prokar Dasgupta; Kamran Ahmed
Journal:  Surg Endosc       Date:  2018-09-07       Impact factor: 4.584

4.  Development and Validation of Objective Performance Metrics for Robot-Assisted Radical Prostatectomy: A Pilot Study.

Authors:  Andrew J Hung; Jian Chen; Anthony Jarc; David Hatcher; Hooman Djaladat; Inderbir S Gill
Journal:  J Urol       Date:  2017-07-29       Impact factor: 7.450

5.  Assessing the efficacy of dissection gestures in robotic surgery.

Authors:  Daniel A Inouye; Runzhuo Ma; Jessica H Nguyen; Jasper Laca; Rafal Kocielnik; Anima Anandkumar; Andrew J Hung
Journal:  J Robot Surg       Date:  2022-09-23

Review 6.  Innovations in Urologic Surgical Training.

Authors:  Runzhuo Ma; Sharath Reddy; Erik B Vanstrum; Andrew J Hung
Journal:  Curr Urol Rep       Date:  2021-03-13       Impact factor: 3.092

7.  A novel risk score system for assessment of ovarian cancer based on co-expression network analysis and expression level of five lncRNAs.

Authors:  Qian Zhao; Conghong Fan
Journal:  BMC Med Genet       Date:  2019-06-10       Impact factor: 2.103

8.  Editorial Comment: Does YouTube include high-quality resources for training on laparoscopic and robotic radical prostatectomy?

Authors:  Eliney F Faria
Journal:  Int Braz J Urol       Date:  2020 Mar-Apr       Impact factor: 1.541

9.  Dynamic changes of brain functional states during surgical skill acquisition.

Authors:  Somayeh B Shafiei; Ahmed Aly Hussein; Khurshid A Guru
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

10.  A novel risk score model for stomach adenocarcinoma based on the expression levels of 10 genes.

Authors:  Encui Guan; Feng Tian; Zhaoxia Liu
Journal:  Oncol Lett       Date:  2019-12-09       Impact factor: 2.967

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