BACKGROUND: To increase the effective use of thrombolytics for acute stroke, the expertise of vascular neurologists must be disseminated more widely. We prospectively assessed whether telemedicine (real-time, two-way audio and video, and digital imaging and communications in medicine [DICOM] interpretation) or telephone was superior for decision making in acute telemedicine consultations. METHODS:From January, 2004, to August, 2007, patients older than 18 years who presented with acute stroke symptoms at one of four remote spoke sites were randomly assigned, through a web-based, permuted blocks system, to telemedicine or telephone consultation to assess their suitability for treatment with thrombolytics, on the basis of standard criteria. The primary outcome measure was whether the decision to give thrombolytic treatment was correct, as determined by central adjudication. Secondary outcomes were the rate of thrombolytic use, 90-day functional outcomes (Barthel index [BI] and modified Rankin scale [mRS]), the incidence of intracerebral haemorrhages, and technical observations. Analysis was by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT00283868. FINDINGS:234 patients were assessed prospectively. 111 patients were randomised to telemedicine, and 111 patients were randomised to telephone consultation; 207 completed the study. Mean National Institutes of Health stroke scale score at presentation was 9.5 (SD 8.1) points (11.4 [8.7] points in the telemedicine group versus 7.7 [7.0] points in the telephone group; p=0.002). One telemedicine consultation was aborted for technical reasons, although it was included in the analyses. Correct treatment decisions were made more often in the telemedicine group than in the telephone group (108 [98%] vs 91 [82%], odds ratio [OR] 10.9, 95% CI 2.7-44.6; p=0.0009). Intravenous thrombolytics were used at an overall rate of 25% (31 [28%] telemedicine vs 25 [23%] telephone, 1.3, 0.7-2.5; p=0.43). 90-day functional outcomes were not different for BI (95-100) (0.6, 0.4-1.1; p=0.13) or for mRS score (0.6, 0.3-1.1; p=0.09). There was no difference in mortality (1.6, 0.8-3.4; p=0.27) or rates of intracerebral haemorrhage after treatment with thrombolytics (2 [7%] telemedicine vs 2 [8%] telephone, 0.8, 0.1-6.3; p=1.0). However, there were more incomplete data in the telephone group than in the telemedicine group (12%vs 3%, 0.2, 0.1-0.3; p=0.0001). INTERPRETATION: The authors of this trial report that stroke telemedicine consultations result in more accurate decision making compared with telephone consultations and can serve as a model for the effectiveness of telemedicine in other medical specialties. The more appropriate decisions, high rates of thrombolysis use, improved data collection, low rate of intracerebral haemorrhage, low technical complications, and favourable time requirements all support the efficacy of telemedicine for making treatment decisions, and might enable more practitioners to use this medium in daily stroke care.
RCT Entities:
BACKGROUND: To increase the effective use of thrombolytics for acute stroke, the expertise of vascular neurologists must be disseminated more widely. We prospectively assessed whether telemedicine (real-time, two-way audio and video, and digital imaging and communications in medicine [DICOM] interpretation) or telephone was superior for decision making in acute telemedicine consultations. METHODS: From January, 2004, to August, 2007, patients older than 18 years who presented with acute stroke symptoms at one of four remote spoke sites were randomly assigned, through a web-based, permuted blocks system, to telemedicine or telephone consultation to assess their suitability for treatment with thrombolytics, on the basis of standard criteria. The primary outcome measure was whether the decision to give thrombolytic treatment was correct, as determined by central adjudication. Secondary outcomes were the rate of thrombolytic use, 90-day functional outcomes (Barthel index [BI] and modified Rankin scale [mRS]), the incidence of intracerebral haemorrhages, and technical observations. Analysis was by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT00283868. FINDINGS: 234 patients were assessed prospectively. 111 patients were randomised to telemedicine, and 111 patients were randomised to telephone consultation; 207 completed the study. Mean National Institutes of Health stroke scale score at presentation was 9.5 (SD 8.1) points (11.4 [8.7] points in the telemedicine group versus 7.7 [7.0] points in the telephone group; p=0.002). One telemedicine consultation was aborted for technical reasons, although it was included in the analyses. Correct treatment decisions were made more often in the telemedicine group than in the telephone group (108 [98%] vs 91 [82%], odds ratio [OR] 10.9, 95% CI 2.7-44.6; p=0.0009). Intravenous thrombolytics were used at an overall rate of 25% (31 [28%] telemedicine vs 25 [23%] telephone, 1.3, 0.7-2.5; p=0.43). 90-day functional outcomes were not different for BI (95-100) (0.6, 0.4-1.1; p=0.13) or for mRS score (0.6, 0.3-1.1; p=0.09). There was no difference in mortality (1.6, 0.8-3.4; p=0.27) or rates of intracerebral haemorrhage after treatment with thrombolytics (2 [7%] telemedicine vs 2 [8%] telephone, 0.8, 0.1-6.3; p=1.0). However, there were more incomplete data in the telephone group than in the telemedicine group (12%vs 3%, 0.2, 0.1-0.3; p=0.0001). INTERPRETATION: The authors of this trial report that stroke telemedicine consultations result in more accurate decision making compared with telephone consultations and can serve as a model for the effectiveness of telemedicine in other medical specialties. The more appropriate decisions, high rates of thrombolysis use, improved data collection, low rate of intracerebral haemorrhage, low technical complications, and favourable time requirements all support the efficacy of telemedicine for making treatment decisions, and might enable more practitioners to use this medium in daily stroke care.
Authors: I L Katzan; A J Furlan; L E Lloyd; J I Frank; D L Harper; J A Hinchey; J P Hammel; A Qu; C A Sila Journal: JAMA Date: 2000-03-01 Impact factor: 56.272
Authors: Heinrich J Audebert; Martin L J Wimmer; Raymund Hahn; Johannes Schenkel; Ulrich Bogdahn; Markus Horn; Roman L Haberl Journal: Cerebrovasc Dis Date: 2005-09-02 Impact factor: 2.762
Authors: Hoi-tung Wong; Wai-sang Poon; Philip Jacobs; Keith Y C Goh; Clarence H S Leung; Fei Lung Lau; Samuel Kwok; Stephanie Ng; Lydia Chow Journal: Neurosurgery Date: 2006-09 Impact factor: 4.654
Authors: Mathew J Reeves; Shalini Arora; Joseph P Broderick; Michael Frankel; John P Heinrich; Susan Hickenbottom; Herbert Karp; Kenneth A LaBresh; Ann Malarcher; G Mensah; Charles J Moomaw; Lee Schwamm; Paul Weiss Journal: Stroke Date: 2005-05-12 Impact factor: 7.914
Authors: Craig A Sable; Susan D Cummings; Gail D Pearson; Lorraine M Schratz; Russell C Cross; Eric S Quivers; Harish Rudra; Gerard R Martin Journal: Pediatrics Date: 2002-01 Impact factor: 7.124
Authors: Sam Wang; Sung Bae Lee; Carol Pardue; Davinder Ramsingh; Jennifer Waller; Hartmut Gross; Fenwick T Nichols; David C Hess; Robert J Adams Journal: Stroke Date: 2003-09-18 Impact factor: 7.914
Authors: Amy C Mecozzi; Devin L Brown; Lynda D Lisabeth; William G Barsan; Robert Silbergleit; Susan L Hickenbottom; Phillip A Scott; Lewis B Morgenstern Journal: Neurocrit Care Date: 2007 Impact factor: 3.532
Authors: Catherine Wolff; Amelia K Boehme; Karen C Albright; Tzu-Ching Wu; Michael T Mullen; Charles C Branas; James C Grotta; Sean I Savitz; Brendan G Carr Journal: J Health Dispar Res Pract Date: 2016