BACKGROUND: A hub-and-spoke telestroke network is an effective way to extend quality acute stroke care to remote hospitals and to improve patient outcomes. This study assessed the cost-effectiveness of a telestroke network in the management of acute ischemic stroke from the perspectives of a network, a hub hospital, and a spoke hospital. METHODS AND RESULTS: A model was developed to compare costs and effectiveness with and without a telestroke network over a 5-year time horizon. The model considered differences in rates of teleconsultations, intravenous thrombolysis, endovascular stroke therapies, and spoke-to-hub transfers. These inputs were estimated through the use of data from Georgia Health Sciences University and Mayo Clinic telestroke networks. A network model with 1 hub and 7 spokes predicted that 45 more patients would be treated with intravenous thrombolysis and 20 more with endovascular stroke therapies per year compared with no network, leading to an estimate of 6.11 more home discharges. Each year, a telestroke network was associated with $358 435 in cost savings; each spoke had $109 080 in cost savings, whereas the hub had positive costs of $405 121. However, cost sharing can be arranged so that each hospital could achieve an equal amount of cost savings ($44 804/y). Results were sensitive to the number of spokes, marginal treatment costs in spokes and rates of transfer, and endovascular stroke therapies. CONCLUSIONS: The results of this study suggest that a telestroke network may increase the number of patients discharged home and reduce the costs borne by the network hospitals. Hospitals should consider their available resources and the network features when deciding whether to join or set up a network.
BACKGROUND: A hub-and-spoke telestroke network is an effective way to extend quality acute stroke care to remote hospitals and to improve patient outcomes. This study assessed the cost-effectiveness of a telestroke network in the management of acute ischemic stroke from the perspectives of a network, a hub hospital, and a spoke hospital. METHODS AND RESULTS: A model was developed to compare costs and effectiveness with and without a telestroke network over a 5-year time horizon. The model considered differences in rates of teleconsultations, intravenous thrombolysis, endovascular stroke therapies, and spoke-to-hub transfers. These inputs were estimated through the use of data from Georgia Health Sciences University and MayoClinic telestroke networks. A network model with 1 hub and 7 spokes predicted that 45 more patients would be treated with intravenous thrombolysis and 20 more with endovascular stroke therapies per year compared with no network, leading to an estimate of 6.11 more home discharges. Each year, a telestroke network was associated with $358 435 in cost savings; each spoke had $109 080 in cost savings, whereas the hub had positive costs of $405 121. However, cost sharing can be arranged so that each hospital could achieve an equal amount of cost savings ($44 804/y). Results were sensitive to the number of spokes, marginal treatment costs in spokes and rates of transfer, and endovascular stroke therapies. CONCLUSIONS: The results of this study suggest that a telestroke network may increase the number of patients discharged home and reduce the costs borne by the network hospitals. Hospitals should consider their available resources and the network features when deciding whether to join or set up a network.
Authors: Esther Lopez-Rivera; Padmini Jayaraman; Falguni Parikh; Michael A Davies; Suhendan Ekmekcioglu; Sudeh Izadmehr; Denái R Milton; Jerry E Chipuk; Elizabeth A Grimm; Yeriel Estrada; Julio Aguirre-Ghiso; Andrew G Sikora Journal: Cancer Res Date: 2014-01-07 Impact factor: 12.701
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Authors: Arianna Moreno; Lee H Schwamm; Khawja A Siddiqui; Anand Viswanathan; Cynthia Whitney; Natalia Rost; Kori Sauser Zachrison Journal: Telemed J E Health Date: 2017-12-22 Impact factor: 3.536
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
Authors: Syed F Ali; Gordian J Hubert; Jeffrey A Switzer; Jennifer J Majersik; Roland Backhaus; L Wylie Shepard; Kishore Vedala; Lee H Schwamm Journal: Stroke Date: 2018-01-26 Impact factor: 7.914
Authors: Rashid L Bashshur; Gary W Shannon; Brian R Smith; Dale C Alverson; Nina Antoniotti; William G Barsan; Noura Bashshur; Edward M Brown; Molly J Coye; Charles R Doarn; Stewart Ferguson; Jim Grigsby; Elizabeth A Krupinski; Joseph C Kvedar; Jonathan Linkous; Ronald C Merrell; Thomas Nesbitt; Ronald Poropatich; Karen S Rheuban; Jay H Sanders; Andrew R Watson; Ronald S Weinstein; Peter Yellowlees Journal: Telemed J E Health Date: 2014-06-26 Impact factor: 3.536
Authors: Shawna Cutting; James J Conners; Vivien H Lee; Sarah Song; Shyam Prabhakaran Journal: Telemed J E Health Date: 2014-06-26 Impact factor: 3.536