Meaningful change: Defining the interpretability of changes in endpoints derived from interactive and mHealth technologies in healthcare and clinical research

被引：18

作者：

Byrom, B. ^{[1
]}

Breedon, P. ^{[2
]}

Tulkki-Wilke, R. ^{[3
]}

Platko, J., V ^{[4
]}

机构：

[1] Signant Hlth, Prod Management, London, England

[2] Nottingham Trent Univ, Med Design Res Grp, Nottingham, England

[3] Signant Hlth, Prod Management, Helsinki, Finland

[4] Signant Hlth, Prod Management, Plymouth Meeting, PA USA

来源：

JOURNAL OF REHABILITATION AND ASSISTIVE TECHNOLOGIES ENGINEERING | 2020年 / 7卷

关键词：

Meaningful change; outcome measurement; interpretability; clinical endpoints; statistical analysis (medical); VIRTUAL-REALITY; MICROSOFT KINECT; REHABILITATION; CHILDREN;

D O I：

10.1177/2055668319892778

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Immersive, interactive and mHealth technologies are increasingly being used in clinical research, healthcare and rehabilitation solutions. Leveraging technology solutions to derive new and novel clinical outcome measures is important to the ongoing assessment of clinical interventions. While demonstrating statistically significant changes is an important element of intervention assessment, understanding whether changes detected reflect changes of a magnitude that are considered meaningful to patients is equally important. We describe methodologies used to determine meaningful change and recommend that these techniques are routinely included in the development and testing of clinical assessment and rehabilitation technology solutions.

引用

页码：1 / 8

页数：8

共 32 条

[1]

[Anonymous], 2018, Patient-Focused Drug Development: Collecting Comprehensive and Representative Input

[2] Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework [J].