Validating telehealth assessment of physical concussion symptoms

BACKGROUND: Telehealth could expand access to specialised concussion care; however, physiotherapists report low confidence in assessing physical symptoms remotely. This study adapted measures of vestibular, oculomotor, cervical and autonomic function for telehealth delivery, and evaluated their feasibility and comparability with in-person assessment. METHODS: Using a repeated-measures design, 16 participants with concussion and 20 controls completed assessment modalities in random order (3 × 4 block randomisation). Feasibility was evaluated through completion rates, technical issues, adverse events and clinician feedback. Concurrent validity was examined using percentage agreement, Cohen's kappa, and sensitivity and specificity analyses. RESULTS: Telehealth assessment was feasible; most concussion participants and all controls completed the protocols, there were minimal technical issues, no adverse events and shorter administration times. Clinicians reported high usability and efficiency. High agreement and sensitivity were observed across vestibular, ocular convergence, autonomic and cervical range of motion measures. Nuanced assessment of ocular smooth pursuits showed lower agreement, and a potential ceiling effect on autonomic assessment was identified. CONCLUSION: This study preliminarily supports the feasibility and comparability of telehealth compared with in-person physical concussion assessments. Assessment of smooth pursuits and autonomic function require protocol refinement to enhance accuracy. Replication in larger samples is required to establish comparability.

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Publication Details

Journal
Brain Impairment
Published
2026-05-11
DOI
https://doi.org/10.1071/ib25133
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
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article

Validating telehealth assessment of physical concussion symptoms

Tess Peverill, J Ponsford, Trevor Russell, Katie Davies et al.
Brain Impairment
Telemedicine and Telehealth Implementation
article

Validating telehealth assessment of physical concussion symptoms

Tess Peverill, J Ponsford, Trevor Russell, Katie Davies, Adam McKay, Stephanie Macheras
article en

Abstract

BACKGROUND: Telehealth could expand access to specialised concussion care; however, physiotherapists report low confidence in assessing physical symptoms remotely. This study adapted measures of vestibular, oculomotor, cervical and autonomic function for telehealth delivery, and evaluated their feasibility and comparability with in-person assessment. METHODS: Using a repeated-measures design, 16 participants with concussion and 20 controls completed assessment modalities in random order (3 × 4 block randomisation). Feasibility was evaluated through completion rates, technical issues, adverse events and clinician feedback. Concurrent validity was examined using percentage agreement, Cohen's kappa, and sensitivity and specificity analyses. RESULTS: Telehealth assessment was feasible; most concussion participants and all controls completed the protocols, there were minimal technical issues, no adverse events and shorter administration times. Clinicians reported high usability and efficiency. High agreement and sensitivity were observed across vestibular, ocular convergence, autonomic and cervical range of motion measures. Nuanced assessment of ocular smooth pursuits showed lower agreement, and a potential ceiling effect on autonomic assessment was identified. CONCLUSION: This study preliminarily supports the feasibility and comparability of telehealth compared with in-person physical concussion assessments. Assessment of smooth pursuits and autonomic function require protocol refinement to enhance accuracy. Replication in larger samples is required to establish comparability.

Brain ImpairmentVol. 27(2)
The University of Queensland (AU), Epworth Hospital (AU), Australian Psychological Society (AU)
Openalex Percentile: Top 7%
Telemedicine and Telehealth Implementation
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Validating telehealth assessment of physical concussion symptoms — Tess Peverill, J Ponsford, et al. · Brain Impairment (2026) | TGRS Research Map | TGRS