@article{c0bb9115ef8247f8a9ab247cdd0518f3,
title = "Effects of Varied Surgical Simulation Training Schedules on Motor-Skill Acquisition",
abstract = "There have been many studies to evaluate the effect of training schedules on retention; however, these usually compare only 2 drastically different schedules, massed and distributed, and they have tended to look at declarative knowledge tasks. This study examined learning on a laparoscopic surgery simulator using a set of procedural or perceptual-motor tasks with some declarative elements. The study used distributed, massed, and 2 hybrid-training schedules that are neither distributed nor massed. To evaluate the training schedules, 23 participants with no previous laparoscopic experience were recruited and randomly assigned to 1 of the 4 training schedules. They performed 3 laparoscopic training tasks in eight 30-minute learning sessions. We compared how task time decreased with each schedule in a between-participants design. We found participants in all groups demonstrated a decrease in task completion time as the number of training sessions increased; however, there were no statistically significant differences in participants{\textquoteright} improvement on task completion time between the 4 different training schedule groups, which suggested that time on task is more important for learning these tasks than the training schedule.",
keywords = "ergonomics and/or human factors study, laparoscopic surgery, practice effect, simulation, surgical education, training schedules",
author = "Ritter, {Frank E.} and Yeh, {Martin K.C.} and Yu Yan and Siu, {Ka Chun} and Dmitry Oleynikov",
note = "Funding Information: We thank Joe Sanford for running a pilot version of this study and creating the box; Farnaz Tehranchi for helping run the participants; Dana Chen and Ralph Loyson for helping code the videos; and Cesar Colchado, Stephen Croker, Chris Garrison, and Peter Weyhrauch for comments that helped improve the article. We thank Geo Surgical LLC for shipping us a replacement grasper quickly. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by ONR Grants #W911QY-07-01-0004, #N00014-10-1-0401, and N00014-15-1-2275. Funding Information: Ritter Frank E. PhD 1 https://orcid.org/0000-0002-5630-1633 Yeh Martin K.-C. PhD 2 https://orcid.org/0000-0003-1894-6649 Yan Yu PhD 1 Siu Ka-Chun PhD 3 Oleynikov Dmitry MD 3 1 The Pennsylvania State University, University Park, PA, USA 2 The Pennsylvania State University-Brandywine, Media, PA, USA 3 University of Nebraska Medical Center, Omaha, NE, USA Yu Yan, Learning, Design, and Technology, The Pennsylvania State University, University Park, PA 16802, USA. Email: appleyanyu@gmail.com 10 2019 1553350619881591 {\textcopyright} The Author(s) 2019 2019 SAGE Publications There have been many studies to evaluate the effect of training schedules on retention; however, these usually compare only 2 drastically different schedules, massed and distributed, and they have tended to look at declarative knowledge tasks. This study examined learning on a laparoscopic surgery simulator using a set of procedural or perceptual-motor tasks with some declarative elements. The study used distributed, massed, and 2 hybrid-training schedules that are neither distributed nor massed. To evaluate the training schedules, 23 participants with no previous laparoscopic experience were recruited and randomly assigned to 1 of the 4 training schedules. They performed 3 laparoscopic training tasks in eight 30-minute learning sessions. We compared how task time decreased with each schedule in a between-participants design. We found participants in all groups demonstrated a decrease in task completion time as the number of training sessions increased; however, there were no statistically significant differences in participants{\textquoteright} improvement on task completion time between the 4 different training schedule groups, which suggested that time on task is more important for learning these tasks than the training schedule. surgical education ergonomics and/or human factors study simulation laparoscopic surgery training schedules practice effect Office of Naval Research https://doi.org/10.13039/100000006 #N000141010401 Office of Naval Research https://doi.org/10.13039/100000006 #W911QY-07-01-0004 Office of Naval Research https://doi.org/10.13039/100000006 N00014-15-1-2275 edited-state corrected-proof We thank Joe Sanford for running a pilot version of this study and creating the box; Farnaz Tehranchi for helping run the participants; Dana Chen and Ralph Loyson for helping code the videos; and Cesar Colchado, Stephen Croker, Chris Garrison, and Peter Weyhrauch for comments that helped improve the article. We thank Geo Surgical LLC for shipping us a replacement grasper quickly. Author Contributions Study concept and design: Frank E. Ritter, Ka-Chun Siu, Dmitry Oleynikov Acquisition of data: Yu Yan Analysis and interpretation: Yu Yan, Martin K.-C. Yeh, Frank E. Ritter Study supervision and manuscript preparation: Frank E. Ritter, Martin K.-C. Yeh, Ka-Chun Siu, Yu Yan Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Ethical Approval This study was approved by the Penn State IRB, #STUDY00005300, and by the ONR Human Research Protection Official (N000141512275-P00003). Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by ONR Grants #W911QY-07-01-0004, #N00014-10-1-0401, and N00014-15-1-2275. ORCID iDs Martin K.-C. Yeh https://orcid.org/0000-0002-5630-1633 Yu Yan https://orcid.org/0000-0003-1894-6649 * ACT-R is basically a name, but has been expanded into Atomic Components of Thought-Rationale. 13 * The multiple correlation was calculated using: http://www.realstatistics.com/correlation/multiple-correlation/ . Publisher Copyright: {\textcopyright} The Author(s) 2019.",
year = "2020",
month = feb,
day = "1",
doi = "10.1177/1553350619881591",
language = "English (US)",
volume = "27",
pages = "68--80",
journal = "Surgical Innovation",
issn = "1553-3506",
publisher = "SAGE Publications Inc.",
number = "1",
}