Literature DB >> 27177870

Ambulance-based assessment of NIH Stroke Scale with telemedicine: A feasibility pilot study.

Kevin M Barrett1, Michael A Pizzi1,2, Vivek Kesari1, Sarvam P TerKonda3,4, Elizabeth A Mauricio1, Scott M Silvers5, Ranya Habash6, Benjamin L Brown7, Rabih G Tawk7, James F Meschia1, Robert Wharen7, William D Freeman1,2,7.   

Abstract

Background Ischemic stroke is a time-sensitive disease, with improved outcomes associated with decreased time from onset to treatment. It was hypothesised that ambulance-based assessment of the National Institutes of Health Stroke Scale (NIHSS) using a Health Insurance Portability and Accountability Act (HIPAA)-compliant mobile platform immediately prior to arrival is feasible. Methods This is a proof-of-concept feasibility pilot study in two phases. The first phase consisted of an ambulance-equipped HIPAA-compliant video platform for remote NIHSS assessment of a simulated stroke patient. The second phase consisted of remote NIHSS assessment by a hospital-based neurologist of acute stroke patients en route to our facility. Five ambulances were equipped with a 4G/LTE-enabled tablet preloaded with a secure HIPAA-compliant telemedicine application. Secondary outcomes assessed satisfaction of staff with the remote platform. Results Phase one was successful in the assessment of three out of three simulated patients. Phase two was successful in the assessment of 10 out of 11 (91%) cases. One video attempt was unsuccessful because local LTE was turned off on the device. The video signal was dropped transiently due to weather, which delayed NIHSS assessment in one case. Average NIHSS assessment time was 7.6 minutes (range 3-9.8 minutes). Neurologists rated 83% of encounters as 'satisfied' to 'very satisfied', and the emergency medical service (EMS) rated 90% of encounters as 'satisfied' to 'very satisfied'. The one failed video attempt was associated with 'poor' EMS satisfaction. Conclusion This proof-of-concept pilot demonstrates that remote ambulance-based NIHSS assessment is feasible. This model could reduce door-to-needle times by conducting prehospital data collection.

Entities:  

Keywords:  Ambulance-based; NIH Stroke Scale; acute stroke; telemedicine

Mesh:

Year:  2016        PMID: 27177870     DOI: 10.1177/1357633X16648490

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  10 in total

Review 1.  Update on Neurocritical Care of Stroke.

Authors:  Jason Siegel; Michael A Pizzi; J Brent Peel; David Alejos; Nnenne Mbabuike; Benjamin L Brown; David Hodge; W David Freeman
Journal:  Curr Cardiol Rep       Date:  2017-08       Impact factor: 2.931

2.  Improving Thrombolysis for Acute Ischemic Stroke: The Implementation and Evaluation of a Theory-Based Resource Integration Project in China.

Authors:  Qian Fu; Xiaojun Wang; Donglan Zhang; Lu Shi; Wei Wang; Zhangbao Guo; Ping Shan; Guohua Chen; Zhanchun Feng
Journal:  Int J Integr Care       Date:  2022-02-08       Impact factor: 5.120

3.  Development and Evaluation of a User-Centered Mobile Telestroke Platform.

Authors:  Sherita N Chapman Smith; Pamela C Brown; Kaitlynne H Waits; Jason S Wong; Muhammad S Bhatti; Qaiser Toqeer; Jamie V Ricks; Michelle L Stockner; Tsion Habtamu; Joshnamaithili Seelam; Rashon C Britt; Jacob M Giovia; Baaba K Blankson; Poanna Bennam; Mirinda A Gormley; Juan Lu; Joseph P Ornato
Journal:  Telemed J E Health       Date:  2018-09-12       Impact factor: 3.536

4.  Time Gain Needed for In-Ambulance Telemedicine: Cost-Utility Model.

Authors:  Alexis Valenzuela Espinoza; Stefanie Devos; Robbert-Jan van Hooff; Maaike Fobelets; Alain Dupont; Maarten Moens; Ives Hubloue; Door Lauwaert; Pieter Cornu; Raf Brouns; Koen Putman
Journal:  JMIR Mhealth Uhealth       Date:  2017-11-24       Impact factor: 4.773

5.  Telemedicine in Neurosurgery: Lessons Learned from a Systematic Review of the Literature for the COVID-19 Era and Beyond.

Authors:  Daniel G Eichberg; Gregory W Basil; Long Di; Ashish H Shah; Evan M Luther; Victor M Lu; Maggy Perez-Dickens; Ricardo J Komotar; Allan D Levi; Michael E Ivan
Journal:  Neurosurgery       Date:  2020-12-15       Impact factor: 4.654

6.  Telemedicine Utilization in Neurosurgery During the COVID-19 Pandemic: A Glimpse Into the Future?

Authors:  Gaetano De Biase; William D Freeman; Mohamad Bydon; Nathan Smith; Daniel Jerreld; Jorge Pascual; John Casler; Chris Hasse; Alfredo Quiñones-Hinojosa; Kingsley Abode-Iyamah
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2020-12-10

7.  Photography tele-transmission by regular ambulance staff for the management of mild traumatic injury: the NiCEPHORE randomised-controlled trial.

Authors:  E Magimel-Pelonnier; N Marjanovic; R Couvreur; B Drugeon; O Mimoz; J Guenezan
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2022-10-14       Impact factor: 3.803

Review 8.  Mobile stroke care expedites intravenous thrombolysis and endovascular thrombectomy.

Authors:  Matthew T Bender; Thomas K Mattingly; Redi Rahmani; Diana Proper; Walter A Burnett; Jason L Burgett; Joshua LEsperance; Jeremy T Cushman; Webster H Pilcher; Curtis G Benesch; Adam G Kelly; Tarun Bhalla
Journal:  Stroke Vasc Neurol       Date:  2021-12-24

9.  Interpretation of Brain CT Scans in the Field by Critical Care Physicians in a Mobile Stroke Unit.

Authors:  Maren Ranhoff Hov; Erik Zakariassen; Thomas Lindner; Terje Nome; Kristi G Bache; Jo Røislien; Jostein Gleditsch; Volker Solyga; David Russell; Christian G Lund
Journal:  J Neuroimaging       Date:  2017-07-27       Impact factor: 2.486

Review 10.  A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke.

Authors:  Hannah A Lumley; Darren Flynn; Lisa Shaw; Graham McClelland; Gary A Ford; Phil M White; Christopher I Price
Journal:  BMC Emerg Med       Date:  2020-04-26
  10 in total

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