Prehospital unassisted assessment of stroke severity using telemedicine: a feasibility study.

BACKGROUND AND PURPOSE: We evaluated the feasibility and the reliability of remote stroke severity quantification in the prehospital setting using the Unassisted TeleStroke Scale (UTSS) via a telestroke ambulance system and a fourth-generation mobile network. METHODS: The technical feasibility and the reliability of the UTSS were studied in healthy volunteers mimicking 41 stroke syndromes during ambulance transportation. RESULTS: Except for 1 issue, high-quality telestroke assessment was feasible in all scenarios. The mean examination time for the UTSS was 3.1 minutes (SD, 0.4). The UTSS showed excellent intrarater and interrater variability (ρ=0.98 and 0.97; P<0.001), as well as excellent internal consistency and rater agreement. Adequate concurrent validity can be derived from the strong correlation between the UTSS and the National Institutes of Health Stroke Scale (ρ=0.90; P<0.001). CONCLUSIONS: Remote assessment of stroke severity in fast-moving ambulances using a system dedicated to prehospital telemedicine, 4G technology, and the UTSS is feasible and reliable.

Feasibility of AmbulanCe-Based Telemedicine (FACT) study: safety, feasibility and reliability of third generation in-ambulance telemedicine.

BACKGROUND: Telemedicine is currently mainly applied as an in-hospital service, but this technology also holds potential to improve emergency care in the prehospital arena. We report on the safety, feasibility and reliability of in-ambulance teleconsultation using a telemedicine system of the third generation. METHODS: A routine ambulance was equipped with a system for real-time bidirectional audio-video communication, automated transmission of vital parameters, glycemia and electronic patient identification. All patients ( ≥ 18 years) transported during emergency missions by a Prehospital Intervention Team of the Universitair Ziekenhuis Brussel were eligible for inclusion. To guarantee mobility and to facilitate 24/7 availability, the teleconsultants used lightweight laptop computers to access a dedicated telemedicine platform, which also provided functionalities for neurological assessment, electronic reporting and prehospital notification of the in-hospital team. Key registrations included any safety issue, mobile connectivity, communication of patient information, audiovisual quality, user-friendliness and accuracy of the prehospital diagnosis. RESULTS: Prehospital teleconsultation was obtained in 41 out of 43 cases (95.3%). The success rates for communication of blood pressure, heart rate, blood oxygen saturation, glycemia, and electronic patient identification were 78.7%, 84.8%, 80.6%, 64.0%, and 84.2%. A preliminary prehospital diagnosis was formulated in 90.2%, with satisfactory agreement with final in-hospital diagnoses. Communication of a prehospital report to the in-hospital team was successful in 94.7% and prenotification of the in-hospital team via SMS in 90.2%. Failures resulted mainly from limited mobile connectivity and to a lesser extent from software, hardware or human error. The user acceptance was high. CONCLUSIONS: Ambulance-based telemedicine of the third generation is safe, feasible and reliable but further research and development, especially with regard to high speed broadband access, is needed before this approach can be implemented in daily practice.

Prediction of hospitalization duration for acute stroke in Belgium.

We aim to predict the duration of hospitalization for acute stroke in Belgium by evaluating the external validity of the prolonged length of stay (PLOS) score and by formulating a new prediction score that may be better suited for the Belgian healthcare system. This single-center retrospective study is based on data collected prospectively from the departmental stroke registry. To validate the PLOS score, receiver operating characteristic curves were constructed and Hosmer-Lemeshow tests were implemented. Odds ratios were calculated by models of logistic regression, based on predictors of length of stay (LOS) with significance in univariate analyses, and were translated into a new risk score. C-statistics for prediction of LOS ≥7 days, LOS ≥14 days, and LOS ≥30 days using the PLOS score were in the range of 0.6-0.7. Thrombolytic therapy, mortality, and need for institutionalization had a notable negative influence on the discrimination of the PLOS score. Overall, the PLOS score performed better for prediction of LOS ≥14 days than for LOS ≥7 days and ≥30 days. The Belgian length of stay for stroke (BLOSS) score is proposed as a simplified prediction model based only on the NIHSS score and age. The PLOS score showed moderate value for prediction of hospitalization duration for acute stroke in this Belgian cohort. A prediction model based only on age and stroke severity may be a worthy alternative.