谷歌浏览器插件
订阅小程序
在清言上使用

Is My Patient Actually Getting Better? Application of the McNemar Test for Demonstrating the Change at a Single Subject Level.

Disability and rehabilitation(2016)

引用 17|浏览10
暂无评分
摘要
Purpose: The aim of the current work is to provide a novel method for demonstrating the modification of a single patient's performance on questionnaires and scales. The minimal detectable change (MDC), a statistics indicating the minimal change in measure not attributable to random variation, is commonly used in rehabilitation for this purpose. However, the MDC has some important drawbacks (e.g. it cannot be calculated on scores from ordinal tests and it can be only used for full questionnaire).Method: Review of the MDC and its limitations and application of the McNemar test on simulated data from single subjects.Results: We propose to use the McNemar test to check if the proportion of test items affirmed by a patient after rehabilitation is significantly different from the same proportion before rehabilitation. A significant McNemar test would indicate a non-random modification of the patient's score and thus a true modification of his/her performance.Conclusions: The application of the McNemar test to questionnaires and scales offers a simple method for demonstrating the modification of a single patient's performance. This use of the McNemar test overcomes the weaknesses of the MDC and gives support to the clinician in assisting him/her to convincingly communicate a non-negligible modification of the patient's status.
更多
查看译文
关键词
Measuring the change,outcome measure,single subject statistics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要