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Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks
BACKGROUND: Robot assisted surgery has expanded considerably in the past years. Compared to conventional open or laparoscopic surgery, virtual reality (VR) training is an essential component in learning robot assisted surgery. However, for tasks to be implemented in a curriculum, the levels of valid...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430880/ https://www.ncbi.nlm.nih.gov/pubmed/32787831 http://dx.doi.org/10.1186/s12893-020-00839-z |
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author | Leijte, Erik de Blaauw, Ivo Rosman, Camiel Botden, Sanne M. B. I. |
author_facet | Leijte, Erik de Blaauw, Ivo Rosman, Camiel Botden, Sanne M. B. I. |
author_sort | Leijte, Erik |
collection | PubMed |
description | BACKGROUND: Robot assisted surgery has expanded considerably in the past years. Compared to conventional open or laparoscopic surgery, virtual reality (VR) training is an essential component in learning robot assisted surgery. However, for tasks to be implemented in a curriculum, the levels of validity should be studied for proficiency-based training. Therefore, this study was aimed to assess the validity evidence of advanced suturing tasks on a robot assisted VR simulator. METHOD: Participants were voluntary recruited and divided in the robotic experienced, laparoscopic experienced or novice group, based on self-reported surgical experience. Subsequently, a questionnaire on a five-point Likert scale was completed to assess the content validity. Three component tasks of complex suturing were performed on the RobotiX simulator (Task1: tilted plane needle transfer, Task: 2 intracorporal suturing, Task 3: anastomosis needle transfer). Accordingly, the outcome of the parameters was used to assess construct validity between robotic experienced and novice participants. Composite scores (0–100) were calculated from the construct parameters and corresponding pass/fail scores with false positive (FP) and false negative (FN) percentages. RESULTS: Fifteen robotic experienced, 26 laparoscopic experienced and 29 novices were recruited. Overall content validity outcomes were scored positively on the realism (mean 3.7), didactic value (mean 4.0) and usability (mean 4.2). Robotic experienced participants significantly outperformed novices and laparoscopic experienced participants on multiple parameters on all three tasks of complex suturing. Parameters showing construct validity mainly consisted of movement parameters, needle precision and task completion time. Calculated composite pass/fail scores between robotic experienced and novice participants resulted for Task 1 in 73/100 (FP 21%, FN 5%), Task 2 in 85/100 (FP 28%, FN 4%) and Task 3 in 64/100 (FP 49%, FN 22%). CONCLUSION: This study assessed the validity evidence on multiple levels of the three studied tasks. The participants score the RobotiX good on the content validity level. The composite pass/fail scores of Tasks 1 and 2 allow for proficiency-based training and could be implemented in a robot assisted surgery training curriculum. |
format | Online Article Text |
id | pubmed-7430880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74308802020-08-18 Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks Leijte, Erik de Blaauw, Ivo Rosman, Camiel Botden, Sanne M. B. I. BMC Surg Research Article BACKGROUND: Robot assisted surgery has expanded considerably in the past years. Compared to conventional open or laparoscopic surgery, virtual reality (VR) training is an essential component in learning robot assisted surgery. However, for tasks to be implemented in a curriculum, the levels of validity should be studied for proficiency-based training. Therefore, this study was aimed to assess the validity evidence of advanced suturing tasks on a robot assisted VR simulator. METHOD: Participants were voluntary recruited and divided in the robotic experienced, laparoscopic experienced or novice group, based on self-reported surgical experience. Subsequently, a questionnaire on a five-point Likert scale was completed to assess the content validity. Three component tasks of complex suturing were performed on the RobotiX simulator (Task1: tilted plane needle transfer, Task: 2 intracorporal suturing, Task 3: anastomosis needle transfer). Accordingly, the outcome of the parameters was used to assess construct validity between robotic experienced and novice participants. Composite scores (0–100) were calculated from the construct parameters and corresponding pass/fail scores with false positive (FP) and false negative (FN) percentages. RESULTS: Fifteen robotic experienced, 26 laparoscopic experienced and 29 novices were recruited. Overall content validity outcomes were scored positively on the realism (mean 3.7), didactic value (mean 4.0) and usability (mean 4.2). Robotic experienced participants significantly outperformed novices and laparoscopic experienced participants on multiple parameters on all three tasks of complex suturing. Parameters showing construct validity mainly consisted of movement parameters, needle precision and task completion time. Calculated composite pass/fail scores between robotic experienced and novice participants resulted for Task 1 in 73/100 (FP 21%, FN 5%), Task 2 in 85/100 (FP 28%, FN 4%) and Task 3 in 64/100 (FP 49%, FN 22%). CONCLUSION: This study assessed the validity evidence on multiple levels of the three studied tasks. The participants score the RobotiX good on the content validity level. The composite pass/fail scores of Tasks 1 and 2 allow for proficiency-based training and could be implemented in a robot assisted surgery training curriculum. BioMed Central 2020-08-12 /pmc/articles/PMC7430880/ /pubmed/32787831 http://dx.doi.org/10.1186/s12893-020-00839-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Leijte, Erik de Blaauw, Ivo Rosman, Camiel Botden, Sanne M. B. I. Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks |
title | Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks |
title_full | Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks |
title_fullStr | Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks |
title_full_unstemmed | Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks |
title_short | Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks |
title_sort | assessment of validity evidence for the robotix robot assisted surgery simulator on advanced suturing tasks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430880/ https://www.ncbi.nlm.nih.gov/pubmed/32787831 http://dx.doi.org/10.1186/s12893-020-00839-z |
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