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Visual illustration supporting patient–physician communication in epilepsy: A validation and reliability study of seizure images
Epilepsy & Behavior ( IF 2.6 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.yebeh.2020.107408
Tassanai Intravooth 1 , Bernhard J Steinhoff 2 , Anke M Staack 1 , Anne-Sophie Wendling 1 , Jakob Stockinger 1 , Artur Tanezer 3 , Bernhard Oehl 4
Affiliation  

Seizure manifestations may be difficult to describe in words alone. Thus, initially, 24 seizure images were developed to support communication and gain assistance during obtaining the patient's history. Before being used in clinical practice, these seizure images must be investigated for validity and reliability. We tested the images with untrained participants including patients with epilepsy, persons who had witnessed seizures, and participants who had neither had nor witnessed epileptic seizures. The participants filled in a questionnaire evaluating the images twice within 3 days. The participants were asked to choose one of the 2 written descriptions that best matched each seizure image. The validity was assessed using one-proportion z-test. The reliability was assessed by Gwet's AC1. The first analysis showed that the proportion of correctly identified seizure images was higher than 70%, except for 2 images representing dystonia and myoclonus. The dystonia image was modified, and the myoclonus image was removed. In the final evaluation, the seizure images were identified with an overall correctness ratio of 96%. The final AC1 of the seizure images was classified as very high. The final 23 seizure images are proved to be valid and have a high agreement that can be used in clinical practice.

中文翻译:

支持癫痫患者-医生沟通的视觉插图:癫痫发作图像的验证和可靠性研究

癫痫发作的表现可能难以仅用语言来描述。因此,最初开发了 24 张癫痫发作图像以支持沟通并在获取患者病史期间获得帮助。在用于临床实践之前,必须对这些癫痫图像的有效性和可靠性进行调查。我们使用未经训练的参与者测试图像,包括癫痫患者、目睹癫痫发作的人和既没有也没有目睹癫痫发作的参与者。参与者填写了一份问卷,在 3 天内对图像进行了两次评估。参与者被要求选择最匹配每个癫痫图像的 2 个书面描述之一。使用比例 z 检验评估有效性。可靠性由 Gwet 的 AC1 评估。第一次分析表明,除了代表肌张力障碍和肌阵挛的 2 个图像外,正确识别的癫痫图像的比例高于 70%。修改肌张力障碍图像,去除肌阵挛图像。在最终评估中,癫痫发作图像的整体正确率为 96%。癫痫发作图像的最终 AC1 被归类为非常高。最终的23张癫痫图像被证明是有效的,具有很高的一致性,可用于临床实践。癫痫发作图像的最终 AC1 被归类为非常高。最终的23张癫痫图像被证明是有效的,并且具有很高的一致性,可以用于临床实践。癫痫发作图像的最终 AC1 被归类为非常高。最终的23张癫痫图像被证明是有效的,并且具有很高的一致性,可以用于临床实践。
更新日期:2020-11-01
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