Determining a Learning Curve for Complex Laparoscopic Gastrointestinal Surgery

确定复杂腹腔镜胃肠手术的学习曲线

• 批准号: 8513919
• 负责人: DENNIS LEE FOWLER
• 金额: $ 4.96万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8513919
• 关键词: Determining; Learning; Curve; Complex; Laparoscopic

DESCRIPTION (provided by applicant): Determining a Learning Curve for Complex Laparoscopic Gastrointestinal Surgery. The purpose of this project is to validate the Global Operative Assessment of Laparoscopic Skills (GOALS) as an assessment tool and define the learning curve for complex laparoscopic gastrointestinal surgery. Using previously recorded data from a centralized database of the Fellowship Council, we will analyze the performance scores of surgical fellows when performing six different operations. There are three phases of the analysis. Since various factors impact technical performance, we will first correlate factors such as previous experience and case difficulty with performance scores as measured with GOALS. Second, by comparing performance scores of fellows at the beginning of the fellowship year with their scores at the end of the fellowship year, we will determine whether GOALS can differentiate novice fellows from graduating fellows and establish construct validity. Third, we wil define the learning curve in this small grant project by plotting performance over time through the academic year while accounting for previous experience and other factors that might impact the curve. The innovation in this project is the use of a national data set to determine the learning curve for surgical fellows for complex gastrointestinal (GI) operations. This should provide solid evidence on which to define the necessary components of technical surgical training and a tool with which we can implement proficiency-based training.

描述（由申请人提供）：确定复杂腹腔镜胃肠道手术的学习曲线。 本项目的目的是验证腹腔镜技能的全球手术评估（GOALS）作为评估工具，并定义复杂腹腔镜胃肠道手术的学习曲线。使用先前记录的数据从奖学金理事会的中央数据库，我们将分析的性能分数的外科研究员时，执行六个不同的操作。分析分为三个阶段。由于各种因素影响技术性能，我们将首先将以前的经验和案例难度等因素与GOALS测量的性能得分相关联。其次，通过比较研究员在研究年度开始时的表现得分与他们在研究年度结束时的得分，我们将确定目标是否可以区分新手研究员和毕业研究员，并建立结构效度。第三，我们将通过绘制整个学年随着时间的推移的表现，同时考虑以前的经验和其他可能影响曲线的因素，来定义这个小额赠款项目的学习曲线。该项目的创新之处在于使用国家数据集来确定外科研究员进行复杂胃肠道（GI）手术的学习曲线。这应该提供坚实的证据，以确定技术手术培训的必要组成部分和一个工具，我们可以实施熟练的培训。