Computerizing Trail Making Test for long-term cognitive self-assessment

Purpose – This paper aims to adapt and computerize the Trail Making Test (TMT) to support long-term self-assessment of cognitive abilities. Design/methodology/approach – The authors propose a divide-and-combine (DAC) approach for generating different instances of TMT that can be used in repeated ass...

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Bibliographic Details
Main Authors: Zhiwei Zeng, Chunyan Miao, Cyril Leung, Zhiqi Shen
Format: Article
Language:English
Published: Tsinghua University Press 2017-03-01
Series:International Journal of Crowd Science
Subjects:
Online Access:https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-12-2016-0002
Description
Summary:Purpose – This paper aims to adapt and computerize the Trail Making Test (TMT) to support long-term self-assessment of cognitive abilities. Design/methodology/approach – The authors propose a divide-and-combine (DAC) approach for generating different instances of TMT that can be used in repeated assessments with nearly no discernible practice effects. In the DAC approach, partial trails are generated separately in different layers and then combined to form a complete TMT trail. Findings – The proposed approach was implemented in a computerized test application called iTMT. A pilot study was conducted to evaluate iTMT. The results show that the instances of TMT generated by the DAC approach had an adequate level of difficulty. iTMT also achieved a stronger construct validity, higher test–retest reliability and significantly reduced practice effects than existing computerized tests. Originality/value – The preliminary results suggest that iTMT is suitable for long-term monitoring of cognitive abilities. By supporting self-assessment, iTMT also can help to crowdsource the assessment processes, which need to be administered by healthcare professionals conventionally, to the patients themselves.
ISSN:2398-7294