Improvement of medical judgments by numerical training in patients with multiple sclerosis

通过数字训练提高多发性硬化症患者的医疗判断能力

阅读:1

Abstract

BACKGROUND AND PURPOSE: People with multiple sclerosis (MS) have to face important decisions with regard to their medical treatment. The aim of this study was to evaluate whether a targeted cognitive training reduces framing effects and thus improves medical judgments. METHODS: This was a randomized, double-blind, cross-over study enrolling patients with relapsing-remitting MS and healthy controls (HCs). Participants were randomly assigned to training order A (first week, numerical training; second week, control training) or B (reverse order). The primary endpoint was changed in a framing task score (framing effect). In the framing task, participants evaluated the success of fictive medications on a 7-point scale. Medications were described in either positive or negative terms. RESULTS: A total of 37 patients and 73 HCs performed either training order A (n = 56) or B (n = 54). The framing effect decreased after the numerical training regardless of training order. No such decrease was found after the control training. Mean change in framing effect was -0.3 ± 0.8 after the numerical training and 0.03 ± 0.6 after the control training. This specific effect of training type was comparable between groups. CONCLUSION: Judgments of medical information improve in both patients with relapsing-remitting MS and HCs after a targeted numerical training. Thus, a specific cognitive intervention may help patients making informed decisions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。