{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T10:28:30Z","timestamp":1789468110774,"version":"build-2803163510"},"reference-count":35,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"12","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2012,12]]},"abstract":"<jats:sec>\n            <jats:title>Background and Purpose\u2014<\/jats:title>\n            <jats:p>Telestroke reduces acute stroke care disparities between urban stroke centers and rural hospitals. Current technologies used to conduct remote patient assessments have high start-up costs, yet they cannot consistently establish quality timely connections. Smartphones can be used for high-quality video teleconferencing. They are inexpensive and ubiquitous among health care providers. We aimed to study the reliability of high-quality video teleconferencing using smartphones for conducting the National Institutes of Health Stroke Scale (NIHSS).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods\u2014<\/jats:title>\n            <jats:p>Two vascular neurologists assessed 100 stroke patients with the NIHSS. The remote vascular neurologist assessed subjects using smartphone videoconferencing with the assistance of a bedside medical aide. The bedside vascular neurologist scored patients contemporaneously. Each vascular neurologist was blinded to the other\u2019s NIHSS scores. We tested the inter-method agreement and physician satisfaction with the device.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results\u2014<\/jats:title>\n            <jats:p>\n              We demonstrated high total NIHSS score correlation between the methods (\n              <jats:italic>r<\/jats:italic>\n              =0.949;\n              <jats:italic>P<\/jats:italic>\n              &lt;0.001). The mean total NIHSS scores for bedside and remote assessments were 7.93\u00b18.10 and 7.28\u00b17.85, with ranges, of 0 to 35 and 0 to 37, respectively. Eight categories had high agreement: level of consciousness (questions), level of consciousness (commands), visual fields, motor left and right (arm and leg), and best language. Six categories had moderate agreement: level of consciousness (consciousness), best gaze, facial palsy, sensory, dysarthria, and extinction\/inattention. Ataxia had poor agreement. There was high physician satisfaction with the smartphone.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions\u2014<\/jats:title>\n            <jats:p>Smartphone high-quality video teleconferencing is reliable, easy to use, affordable for telestroke NIHSS administration, and has high physician satisfaction.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/strokeaha.112.669150","type":"journal-article","created":{"date-parts":[[2012,11,17]],"date-time":"2012-11-17T02:20:39Z","timestamp":1353118839000},"page":"3271-3277","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":87,"title":["Reliability of Real-Time Video Smartphone for Assessing National Institutes of Health Stroke Scale Scores in Acute Stroke Patients"],"prefix":"10.1161","volume":"43","author":[{"given":"Bart M.","family":"Demaerschalk","sequence":"first","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Phoenix, AZ (B.M.D., B.B.V, D.D.C.); Barrett Honors College, Arizona State University, Tempe, AZ (S.V.); University of Arizona College of Medicine, Phoenix, AZ (S.V.); and the Biostatistics Unit, Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (Q.W., J.G.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sravanthi","family":"Vegunta","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Phoenix, AZ (B.M.D., B.B.V, D.D.C.); Barrett Honors College, Arizona State University, Tempe, AZ (S.V.); University of Arizona College of Medicine, Phoenix, AZ (S.V.); and the Biostatistics Unit, Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (Q.W., J.G.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bert B.","family":"Vargas","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Phoenix, AZ (B.M.D., B.B.V, D.D.C.); Barrett Honors College, Arizona State University, Tempe, AZ (S.V.); University of Arizona College of Medicine, Phoenix, AZ (S.V.); and the Biostatistics Unit, Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (Q.W., J.G.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Wu","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Phoenix, AZ (B.M.D., B.B.V, D.D.C.); Barrett Honors College, Arizona State University, Tempe, AZ (S.V.); University of Arizona College of Medicine, Phoenix, AZ (S.V.); and the Biostatistics Unit, Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (Q.W., J.G.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dwight D.","family":"Channer","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Phoenix, AZ (B.M.D., B.B.V, D.D.C.); Barrett Honors College, Arizona State University, Tempe, AZ (S.V.); University of Arizona College of Medicine, Phoenix, AZ (S.V.); and the Biostatistics Unit, Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (Q.W., J.G.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph G.","family":"Hentz","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Phoenix, AZ (B.M.D., B.B.V, D.D.C.); Barrett Honors College, Arizona State University, Tempe, AZ (S.V.); University of Arizona College of Medicine, Phoenix, AZ (S.V.); and the Biostatistics Unit, Division of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (Q.W., J.G.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/strokeaha.109.192360"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1161\/strokeaha.108.532069"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1159\/000094857"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.25.9.1746"},{"key":"e_1_3_4_6_2","doi-asserted-by":"publisher","DOI":"10.1159\/000016006"},{"key":"e_1_3_4_7_2","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.1989.00520420080026"},{"key":"e_1_3_4_8_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.20.7.864"},{"key":"e_1_3_4_9_2","doi-asserted-by":"publisher","DOI":"10.1097\/01376517-199712000-00008"},{"key":"e_1_3_4_10_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.25.2.362"},{"key":"e_1_3_4_11_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.0000091847.82140.9d"},{"key":"e_1_3_4_12_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.30.10.2141"},{"key":"e_1_3_4_13_2","doi-asserted-by":"publisher","DOI":"10.4065\/84.1.53"},{"key":"e_1_3_4_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11910-010-0147-x"},{"key":"e_1_3_4_15_2","doi-asserted-by":"publisher","DOI":"10.1097\/NRL.0b013e3181a4b79c"},{"key":"e_1_3_4_16_2","doi-asserted-by":"publisher","DOI":"10.1089\/tmj.2011.0116"},{"key":"e_1_3_4_17_2","article-title":"Remote assessment of stroke using the iPhone 4. 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