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Neurology ; 88(16): 1580-1583, 2017 Apr 18.
Article in English | MEDLINE | ID: mdl-28341642

ABSTRACT

OBJECTIVE: To assess the feasibility and accuracy of telemedical concussion evaluations (teleconcussion) for real-time athletic sideline assessment of concussion, as such assessment may address the gap in access some populations of athletes have to providers with expertise in concussion evaluation. METHODS: A cohort of 11 consecutive male collegiate football players with suspected concussion was assessed using Standardized Assessment of Concussion (SAC), King-Devick test (K-D), and modified Balance Error Scoring System (mBESS). A remote neurologist assessed each athlete using a telemedicine robot with real-time, 2-way audiovisual capabilities, while a sideline provider performed a simultaneous face-to-face assessment. After the assessment, a remove-from-play (RFP) determination was made. The remote and the face-to-face providers were blinded to each other's examination findings and RFP decision until the end of the assessment. RESULTS: The teleconcussion and face-to-face SAC were in agreement 100% of the time (6/6; 95% confidence interval [CI] 54%-100%). The mean (SD) difference between remote and sideline K-D times was 0.7 (1.4) seconds. Remote and sideline K-D times were within a 3-second difference 100% of the time (11/11; 95% CI 72%-100%). Remote and sideline mBESS scores were within 3 points 100% of the time (6/6; 95% CI 54%-100%). RFP decisions were in agreement 100% of the time (11/11; 95% CI 72%-100%). CONCLUSIONS: The aim of this study was to investigate the feasibility of teleconcussion for sideline concussion assessments. These data suggest a high level of agreement between remote and face-to-face providers with regard to examination findings and RFP determinations.


Subject(s)
Athletic Injuries/diagnosis , Brain Concussion/diagnosis , Football/injuries , Remote Consultation/methods , Athletes , Cohort Studies , Feasibility Studies , Humans , Male , Remote Consultation/instrumentation , Robotics , Severity of Illness Index , Time Factors , Universities
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