Performance-based outcome measures of upper extremity in virtual reality and telerehabilitation: a systematic review
Authors:
Hao, J., Li, Y., Remis, A., He, Z., Yao, Z., and Pu, Y.
Abstract:
OBJECTIVES: This systematic review aimed to identify and synthesize evidence regarding measurement properties of upper extremity performance-based outcome measures performed in virtual reality or in telerehabilitation to inform clinical applications and research endeavors.
METHODS: Five bibliographic databases, PubMed, Embase, CINAHL, APA PsycINFO, and Scopus, were searched on July 12, 2023. Studies assessing the measurement properties (reliability, validity, responsiveness) of upper extremity performance-based outcome measures in virtual reality and telerehabilitation were eligible for inclusion. The COSMIN risk of bias checklist was used for methodological quality assessment. Study selection, data extraction, and quality assessment were completed by two independent reviewers.
RESULTS: A total of 240 records were identified from the five databases. Nine cross-sectional studies published from 2016 to 2023 were included. Participants included 210 patients with neurological conditions and 184 healthy subjects. In virtual reality studies, four implemented the Box and Block Test, one the Arm Research Action Test, and one the Peg Insertion Test. In telerehabilitation studies, three implemented the Fugl-Meyer Assessment Upper Extremity. For quality assessment, one study was rated inadequate, one was rated doubtful, and all others demonstrated adequate to good quality. Most studies demonstrated good test-retest reliability and concurrent validity to the original in-person assessments.
CONCLUSION: Implementing upper extremity performance-based outcome measures in virtual reality and telerehabilitation is feasible and promising. Further studies are warranted to develop and refine remote assessment paradigms and validate them on a larger scale to inform clinical application and promote digital health in rehabilitation.
