BACKGROUND: Emergency medical dispatchers represent the first line of communication with a patient, and their decision plays an important role in the prehospital care of stroke. We evaluated the rate and accuracy of stroke diagnosis by dispatchers and its influence in the prehospital care of potential stroke patients. METHODS: We analyzed the 2009 National Emergency Medical Services Information System. Study population was based on the diagnosis of stroke made by emergency medical technicians (EMT). This was then divided in those coded as stroke/cerebrovascular accident versus others reported by dispatchers and compared with each other. RESULTS: In all, 67,844 cases were identified as stroke by EMT, but transportation time was available for 52,282 cases that represented the final cohort. Cases identified as stroke by dispatchers were 27,566 (52.7%). When this group compared with stroke cases not identified by dispatchers, we found that the mean age was significantly higher (71.2 versus 68.6 years, P<.0001); advanced life support was dispatched more frequently (84% versus 72.8%, P<.0001), dispatchers offered help and instructions to the caller more frequently, and they arrived at a facility at a shorter time (41.8 versus 49.8 minutes, P<0001). Sensitivity and specificity for the diagnosis of stroke by dispatchers were 34.61 and 99.46, respectively. CONCLUSIONS: Recognition of symptoms and diagnosis of a potential stroke by dispatchers positively affect the care of patients by decreasing the arrival time to a hospital and providing the highest level of prehospital care possible. Education is needed to increase dispatcher's detection of stroke cases.
BACKGROUND: Emergency medical dispatchers represent the first line of communication with a patient, and their decision plays an important role in the prehospital care of stroke. We evaluated the rate and accuracy of stroke diagnosis by dispatchers and its influence in the prehospital care of potential strokepatients. METHODS: We analyzed the 2009 National Emergency Medical Services Information System. Study population was based on the diagnosis of stroke made by emergency medical technicians (EMT). This was then divided in those coded as stroke/cerebrovascular accident versus others reported by dispatchers and compared with each other. RESULTS: In all, 67,844 cases were identified as stroke by EMT, but transportation time was available for 52,282 cases that represented the final cohort. Cases identified as stroke by dispatchers were 27,566 (52.7%). When this group compared with stroke cases not identified by dispatchers, we found that the mean age was significantly higher (71.2 versus 68.6 years, P<.0001); advanced life support was dispatched more frequently (84% versus 72.8%, P<.0001), dispatchers offered help and instructions to the caller more frequently, and they arrived at a facility at a shorter time (41.8 versus 49.8 minutes, P<0001). Sensitivity and specificity for the diagnosis of stroke by dispatchers were 34.61 and 99.46, respectively. CONCLUSIONS: Recognition of symptoms and diagnosis of a potential stroke by dispatchers positively affect the care of patients by decreasing the arrival time to a hospital and providing the highest level of prehospital care possible. Education is needed to increase dispatcher's detection of stroke cases.
Authors: Christopher T Richards; Baiyang Wang; Eddie Markul; Frank Albarran; Doreen Rottman; Neelum T Aggarwal; Patricia Lindeman; Leslee Stein-Spencer; Joseph M Weber; Kenneth S Pearlman; Katie L Tataris; Jane L Holl; Diego Klabjan; Shyam Prabhakaran Journal: Prehosp Emerg Care Date: 2017-06-29 Impact factor: 3.077
Authors: Christopher T Richards; Ryan Huebinger; Katie L Tataris; Joseph M Weber; Laura Eggers; Eddie Markul; Leslee Stein-Spencer; Kenneth S Pearlman; Jane L Holl; Shyam Prabhakaran Journal: Prehosp Emerg Care Date: 2018-01-03 Impact factor: 3.077
Authors: Layne Dylla; John D Rice; Sharon N Poisson; Andrew A Monte; Hannah M Higgins; Adit A Ginde; Paco S Herson Journal: J Stroke Cerebrovasc Dis Date: 2022-01-05 Impact factor: 2.136
Authors: Annika Berglund; Mia von Euler; Karin Schenck-Gustafsson; Maaret Castrén; Katarina Bohm Journal: BMJ Open Date: 2015-04-28 Impact factor: 2.692
Authors: Adrien E Groot; Ivo N van Schaik; Marieke C Visser; Paul J Nederkoorn; Martien Limburg; Majid Aramideh; Frank de Beer; Caspar P Zwetsloot; Patricia Halkes; Jelle de Kruijk; Nyika D Kruyt; Willem van der Meulen; Fianne Spaander; Taco van der Ree; Vincent I H Kwa; Renske M Van den Berg-Vos; Yvo B Roos; Jonathan M Coutinho Journal: J Neurol Date: 2016-03-05 Impact factor: 4.849
Authors: Carine J M Doggen; Marlies Zwerink; Hanneke M Droste; Paul J A M Brouwers; Gert K van Houwelingen; Fred L van Eenennaam; Rolf E Egberink Journal: BMC Emerg Med Date: 2016-01-09