Psychometric properties of technology-assisted matching paradigms in post-stroke upper limb proprioceptive assessment: a scoping review.

INTRODUCTION

Proprioceptive impairments affect 34-64% of post-stroke patients, impacting motor recovery and daily activities. Technology-assisted matching paradigms offer precise, quantitative assessment of upper limb proprioception, but their psychometric properties require evaluation.

METHODS

The search was conducted using PubMed, Web of Science, EMBASE, and MEDLINE to identify studies on technology-assisted matching paradigms for assessing upper limb proprioception in post-stroke patients. Studies were selected based on the inclusion and exclusion criteria, and relevant data were extracted.

RESULTS

A total of 13 articles were included. Upper limb robots for active mirror-matching tasks were the most used technology among our included studies (9 out of 13 studies). Seven studies showed a moderate level of concurrent validity, and four studies showed a moderate level of convergent validity. Seven studies compared stroke patients to healthy individuals, with most showing good responsiveness. Five studies revealed moderate to high test-retest and inter-rater reliability.

CONCLUSION

Technology-assisted matching paradigms demonstrate moderate validity and moderate to high reliability when applied in clinical settings for assessing upper limb proprioception in post-stroke patients.