开发耳鼻喉科的脚本一致性测试项目以提高临床推理技能:使用一致性分析和心理测量学进行验证。

Pub Date : 2023-04-01 Epub Date: 2023-07-17 DOI:10.4103/ijabmr.ijabmr_604_22
Sivaraman Ganesan, Shital Bhandary, Mahalakshmy Thulasingam, Thomas Vengail Chacko, Z Zayapragassarazan, Surya Ravichandran, Kalaiarasi Raja, Karthikeyan Ramasamy, Arun Alexander, Lokesh Kumar Penubarthi
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引用次数: 0

摘要

背景:脚本一致性测试被广泛用于培养和评估临床推理。我们的研究旨在开发耳鼻喉科专业的脚本一致性测试(SCT),并使用面板反应模式和一致性指数来测试验证。材料和方法:该方法是一种不断发展的模式,构建SCT,将其管理给小组成员,并通过反应模式和共识指数优化小组。SCT的期末项目被选为对学生进行管理。结果:我们制定了98个SCT项目,并对20名小组成员进行了管理。小组成员对这98个项目的平均得分为79.5(标准差[SD]=4.4)。为98个项目SCT计算的一致性指数在25.81至100之间。16个项目具有双峰和统一的反应模式;共识指数在消除后有所改善。我们对30名本科生和10名研究生进行了其余82项SCT。本科生的平均得分为61.1(SD=7.5),研究生为67.7(SD=6.3)。82项SCT的Cronbachα为0.74。排除22个较差的项目,60个项目的最终SCT工具的Cronbachα为0.82。结论:我们的研究表明,60以上的一致性指数具有良好的项目总相关性,可用于优化SCT中小组反应的项目,需要在这方面进行进一步的研究。我们的研究还表明,面板反应聚类模式可以用于对项目进行分类,尽管双峰和均匀分布模式需要进一步区分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Developing Script Concordance Test Items in Otolaryngology to Improve Clinical Reasoning Skills: Validation using Consensus Analysis and Psychometrics.

Background: Script concordance testing is widely practiced to foster and assess clinical reasoning. Our study aimed to develop script concordance test (SCT) in the specialty of otolaryngology and test the validation using panel response pattern and consensus index.

Materials and methods: The methodology was an evolving pattern of constructing SCTs, administering them to the panel members, and optimizing the panel with response patterns and consensus index. The SCT's final items were chosen to be administered to the students.

Results: We developed 98 items of SCT and administered them to 20 panel members. The mean score of the panel members for these 98 items was 79.5 (standard deviation [SD] = 4.4). The consensus index calculated for the 98-item SCT ranged from 25.81 to 100. Sixteen items had bimodal and uniform response patterns; the consensus index improved when eliminated. We administered the rest 82 items of SCT to 30 undergraduate and ten postgraduate students. The mean score of undergraduate students was 61.1 (SD = 7.5) and that of postgraduate students was 67.7 (SD = 6.3). Cronbach's alpha for the 82-item SCT was 0.74. Excluding the 22 poor items, the final SCT instrument of 60 items had a Cronbach's alpha of 0.82.

Conclusion: Our study revealed that a consensus index above 60 had a good item-total correlation and be used to optimize the items for panel responses in SCT, necessitating further studies on this aspect. Our study also revealed that the panel response clustering pattern could be used to categorize the items, although bimodal and uniform distribution patterns need further differentiation.

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