外科技能认知负荷量表的开发:初步效度证据

Anya L. Edwards, Patricia S. O’Sullivan, Joseph H. Rapp, Adnan Alseidi, Hueylan Chern, Justin L. Sewell, Christy Boscardin, Shareef M. Syed
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引用次数: 0

摘要

摘要目的手术室需要同时处理大量的信息。受训人员在这种环境下的学习和表现受到工作记忆的限制。认知学习理论描述了三种类型的认知负荷,认为当内在负荷(IL)与经验匹配、外在负荷(EL)最小化、相关负荷(GL)通过图式优化时,学习能达到最大化。衡量CL的能力对于最大化学习是至关重要的。结肠镜认知负荷量表(CLIC)测量结肠镜训练期间的三种类型的CL。我们将CLIC用于外科技能教育,目的是收集该工具的有效性证据。方法:我们首先开发了一个21项5点李克特量表,即外科技能认知负荷量表(CLISS)。为了支持内容有效性,我们修改了CLIC内容以反映手术技能,并从CLIC创建者那里获得反馈,以确保调整充分保留IL, EL和GL概念。为了检查反应过程,我们对外科住院医生进行了认知访谈,以评估措辞和清晰度,并在不同的环境下(模拟练习,手术室案例),相对于不同的任务和不同的受访者(住院医生,研究员,教师)发布了调查。为了评估内部结构,我们使用Cronbach's alpha检验了内部一致性,并进行了验证性因子分析(CFA),以确认项目之间的关系与假设一致。我们用三个模型拟合指标,包括Bentler的比较拟合指数(CFI)、Tucker-Lewis指数(TLI)和近似均方根误差(RMSEA)来评估三因素模型的充分性。进行敏感性分析,剔除因子负荷估计值(1)小于0.40,(2)不具有统计学意义,或(3)有2个或更多因子负荷的项目。结果CLISS在7个临床和模拟程序设置中分布到138名参与者,获得100个应答(72%)。在受访者中,99人(99%)完成了整个CLISS。没有受访者提出内容问题。每个问题都得到了一系列的回应。3种认知负荷的Cronbach 's alpha均大于0.7。然而,有几个单独的项目被发现与该负载中的其他项目不相关。CFA揭示了每个因素的负载范围。模型拟合指数超出常规截断值(CFI = 0.627, TLI = 0.579, RMSEA = 0.124),表明初步的3因素21项模型拟合不佳。敏感性分析产生了修订后的11项工具,表明IL和GL的Cronbach 's alpha有所改善,模型指数也有所改善(CFI = 0.940, TLI = 0.920, RMSEA = 0.076)。为了进一步支持内容有效性,删除了一个附加项。结论:在技能实验室和临床环境中,CLISS是一种实用的管理工具,特别是在课程结束后立即给药或单独要求时。虽然有希望,但需要进一步的研究来为CLISS建立额外的有效性证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of the Cognitive Load Inventory for Surgical Skills: preliminary validity evidence
Abstract Purpose The operating room requires simultaneous processing of considerable information. Trainee learning and performance in this environment are restricted by working memory. Cognitive learning theory, which describes three types of cognitive load (CL), suggests that learning is maximized when intrinsic load (IL) is matched to experience, extraneous load (EL) is minimized, and germane load (GL) is optimized with schemas. The ability to measure CL is critical to maximize learning. The Cognitive Load Inventory for Colonoscopy (CLIC) measures the three types of CL during colonoscopy training. We adapted the CLIC for surgical skills education and aimed to gather validity evidence for this tool. Methods We initially developed a 21-item, 5-point Likert instrument, the Cognitive Load Inventory for Surgical Skills (CLISS), through a multi-step process. To support content validity, we revised CLIC content to reflect surgical skills, obtaining feedback from CLIC creators to ensure adjustments adequately retained IL, EL, and GL concepts. To examine the response process, we conducted cognitive interviews with surgical residents to assess wording and clarity and issued the survey in different settings (simulation exercises, operating room cases), relative to different tasks, and with different respondents (residents, fellows, faculty). To assess internal structure, we examined internal consistency using Cronbach's alpha and conducted confirmatory factor analysis (CFA) to confirm that relationships among the items were as hypothesized. We evaluated adequacy of the 3-factor model with three model fit indices, including Bentler’s Comparative Fit Index (CFI), the Tucker–Lewis Index (TLI), and root mean square error of approximation (RMSEA). A sensitivity analysis was performed eliminating items with factor loading estimates that (1) are less than 0.40, (2) are not statistically significant, or (3) load onto 2 or more factors. Results The CLISS was distributed in 7 clinical and simulated procedural settings to 138 participants and yielded 100 responses (72% response rate). Of the respondents, 99 (99%) completed the entire CLISS. No respondents raised content questions. Each item garnered a range of responses. All 3 types of cognitive load had a Cronbach’s alpha above 0.7. However, several individual items were found not to correlate with other items within that load. CFA revealed a range of loadings for each factor. Model fit indices were outside the conventional cut-offs (CFI = 0.627, TLI = 0.579, RMSEA = 0.124), suggesting consensus that the initial 3-factor, 21-item model was not a good fit. Sensitivity analysis yielded a revised 11-item tool, which demonstrated improved Cronbach’s alpha for IL and GL and improved model indices (CFI = 0.940, TLI = 0.920, RMSEA = 0.076). An additional item was removed to further support content validity. Conclusions The CLISS can be a practical tool for administration in the skills lab and clinical settings, particularly if administered immediately after the session or requested individually. While promising, further study is needed to establish additional validity evidence for the CLISS.
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