An algorithm for the National Institute of Health Stroke Scale assessment: A multicenter, two-arm and cluster randomized study.

Autor: de Andrade JBC; Universidade Federal de São Paulo, São Paulo, Brazil; United Health Group Brazil, Sao Paulo, Brazil; Centro Universitario Sao Camilo, São Paulo, Brazil; Hospital Israelita Albert Einstein, São Paulo, Brazil; Institute of Aeronautics Technology, Bioengineer Laboratory, Sao Paulo, Brazil. Electronic address: joao.andrade@unifesp.br., Pacheco EP; United Health Group Brazil, Sao Paulo, Brazil., Camilo MR; Universidade de Sao Paulo, Ribeirao Preto, Brazil., Rodriguez CEL; Centro Universitario Sao Camilo, São Paulo, Brazil., Nascimento PS; Centro Universitario Sao Camilo, São Paulo, Brazil., de Oliveira NS; Centro Universitario Sao Camilo, São Paulo, Brazil., Carneiro TS; University of Florida, Florida, USA., de Oliveira RAC; Coopers, New Jersey, USA., Silva GS; Universidade Federal de São Paulo, São Paulo, Brazil; Hospital Israelita Albert Einstein, São Paulo, Brazil.
Jazyk: angličtina
Zdroj: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [J Stroke Cerebrovasc Dis] 2024 Jul; Vol. 33 (7), pp. 107723. Date of Electronic Publication: 2024 Apr 15.
DOI: 10.1016/j.jstrokecerebrovasdis.2024.107723
Abstrakt: Background: The NIH Stroke Scale (NIHSS) is a validated tool for assessing stroke severity, increasingly used by general practitioners in telemedicine services. Mobile apps may enhance its reliability. We aim to validate a digital platform (SPOKES) for NIHSS assessment in telemedicine and healthcare settings.
Methods: Hospitals using a telemedicine service were randomly allocated to control or SPOKES-user groups. The discrepancy between the NIHSS scores reported and those confirmed by experts was evaluated. Healthcare providers from comprehensive stroke centers were invited for interrater validation. Participants were randomized to assess the NIHSS using videos of real patients. Weighted Kappa (wk) statistics analyzed the agreement, and logistic regression determined the correlation with the congruency.
Results: A total of 299 telemedicine consultations from 12 hospitals were included. The difference between the NIHSS scores reported and double-checked was lower in the SPOKES group (p = 0.03), with a significantly higher level of complete agreement (72.5 % vs. 50.4 %, p = 0.005). Adoption of SPOKES was associated with complete congruency (OR 4.01, 95 %CI 1.42-11.35, p = 0.009). For interrater validation, 20 participants were considered. In the SPOKES group, almost-perfect and strong agreement occurred in 13.3 %(n = 6/45) and 84.4 %(n = 38/45) of ratings, respectively; in the control group, 6.7 %(n = 3/45) were almost-perfect, 28.9 %(n = 13/45) strong and 51 %(n = 23/45) were minimal.
Conclusion: A free and reliable mobile application for NIHSS assessment can significantly improve interrater agreement between healthcare professionals, and between NIHSS-certified neurologists and general practitioners. Our results underscore the importance of ongoing training and education in enhancing the consistency and reliability of NIHSS scores.
Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest.
(Copyright © 2024 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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