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修订后的质量改进知识应用工具(QIKAT-R)

The Quality Improvement Knowledge Application Tool Revised (QIKAT-R).

作者信息

Singh Mamta K, Ogrinc Greg, Cox Karen R, Dolansky Mary, Brandt Julie, Morrison Laura J, Harwood Beth, Petroski Greg, West Al, Headrick Linda A

机构信息

Dr. Singh is associate professor of medicine, Division of General Medicine, Louis Stokes Veterans Affairs Medical Center, Case Western Reserve University, Cleveland, Ohio. Dr. Ogrinc is associate professor of community and family medicine and of medicine, VA Medical Center, White River Junction, Vermont, and Geisel School of Medicine, Hanover, New Hampshire. Dr. Cox is manager, Quality Improvement, Office of Clinical Effectiveness, University of Missouri Health Care, Columbia, Missouri. Dr. Dolansky is associate professor, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio. Dr. Brandt is associate director of quality improvement, School of Medicine, University of Missouri, Columbia, Missouri. Dr. Morrison is currently director of palliative medicine education, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, but was at Baylor College of Medicine in the Division of Geriatrics at the time of this study. Ms. Harwood is research associate, Geisel School of Medicine, Hanover, New Hampshire. Dr. Petroski is assistant professor of biostatistics, School of Medicine, University of Missouri, Columbia, Missouri. Dr. West is biostatistician, Department of Veterans Affairs, VA Medical Center, White River Junction, Vermont. Dr. Headrick is senior associate dean for education and professor of medicine, School of Medicine, University of Missouri, Columbia, Missouri.

出版信息

Acad Med. 2014 Oct;89(10):1386-91. doi: 10.1097/ACM.0000000000000456.

Abstract

PURPOSE

Quality improvement (QI) has been part of medical education for over a decade. Assessment of QI learning remains challenging. The Quality Improvement Knowledge Application Tool (QIKAT), developed a decade ago, is widely used despite its subjective nature and inconsistent reliability. From 2009 to 2012, the authors developed and assessed the validation of a revised QIKAT, the "QIKAT-R."

METHOD

Phase 1: Using an iterative, consensus-building process, a national group of QI educators developed a scoring rubric with defined language and elements. Phase 2: Five scorers pilot tested the QIKAT-R to assess validity and inter- and intrarater reliability using responses to four scenarios, each with three different levels of response quality: "excellent," "fair," and "poor." Phase 3: Eighteen scorers from three countries used the QIKAT-R to assess the same sets of student responses.

RESULTS

Phase 1: The QI educators developed a nine-point scale that uses dichotomous answers (yes/no) for each of three QIKAT-R subsections: Aim, Measure, and Change. Phase 2: The QIKAT-R showed strong discrimination between "poor" and "excellent" responses, and the intra- and interrater reliability were strong. Phase 3: The discriminative validity of the instrument remained strong between excellent and poor responses. The intraclass correlation was 0.66 for the total nine-point scale.

CONCLUSIONS

The QIKAT-R is a user-friendly instrument that maintains the content and construct validity of the original QIKAT but provides greatly improved interrater reliability. The clarity within the key subsections aligns the assessment closely with QI knowledge application for students and residents.

摘要

目的

质量改进(QI)已成为医学教育的一部分超过十年。对质量改进学习的评估仍然具有挑战性。十年前开发的质量改进知识应用工具(QIKAT)尽管具有主观性且可靠性不一致,但仍被广泛使用。2009年至2012年,作者开发并评估了修订后的QIKAT即“QIKAT-R”的有效性。

方法

第一阶段:一个全国性的质量改进教育工作者团队通过反复的共识建立过程,制定了一个带有明确语言和要素的评分标准。第二阶段:五名评分者对QIKAT-R进行了预测试,通过对四个场景的回答来评估有效性以及评分者间和评分者内的可靠性,每个场景有三种不同水平的回答质量:“优秀”、“中等”和“差”。第三阶段:来自三个国家的18名评分者使用QIKAT-R评估同一组学生的回答。

结果

第一阶段:质量改进教育工作者制定了一个九点量表,对QIKAT-R的三个子部分:目标、测量和改进,每个部分都使用二分法答案(是/否)。第二阶段:QIKAT-R在“差”和“优秀”回答之间显示出很强的区分度,评分者内和评分者间的可靠性都很强。第三阶段:该工具在优秀和差的回答之间的区分效度仍然很强。整个九点量表的组内相关系数为0.66。

结论

QIKAT-R是一种用户友好的工具,它保持了原始QIKAT的内容和结构效度,但大大提高了评分者间的可靠性。关键子部分的清晰度使评估与学生和住院医师的质量改进知识应用紧密结合。

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