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The use of a smartphone application to improve stroke code workflow metrics: A pilot study in a comprehensive stroke centre

Background Timely coordination between stroke team members is of relevance for stroke code management. We explore the feasibility and potential utility of a smartphone application for clinical and neuroimaging data sharing for improving workflow metrics of stroke code pathways, and professionals’ op...

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Published in:Digital health 2022-01, Vol.8, p.20552076221137252
Main Authors: Gutiérrez-Zúñiga, Raquel, Uclés, Jorge, Sánchez-Manso, Juan Carlos, Fuentes, Blanca, de Celis, Elena, Ruiz-Ares, Gerardo, Rodríguez-Pardo, Jorge, Rigual, Ricardo, Casado, Laura, Alonso, Elisa, Fernández-Prieto, Andrés, Navia, Pedro, Álvarez-Muelas, Alberto, Marín, Begoña, Díez Tejedor, Exuperio, Alonso de Leciñana, María
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creator Gutiérrez-Zúñiga, Raquel
Uclés, Jorge
Sánchez-Manso, Juan Carlos
Fuentes, Blanca
de Celis, Elena
Ruiz-Ares, Gerardo
Rodríguez-Pardo, Jorge
Rigual, Ricardo
Casado, Laura
Alonso, Elisa
Fernández-Prieto, Andrés
Navia, Pedro
Álvarez-Muelas, Alberto
Marín, Begoña
Díez Tejedor, Exuperio
Alonso de Leciñana, María
description Background Timely coordination between stroke team members is of relevance for stroke code management. We explore the feasibility and potential utility of a smartphone application for clinical and neuroimaging data sharing for improving workflow metrics of stroke code pathways, and professionals’ opinions about its use. Methods We performed an observational pilot study including stroke code activations at La Paz University Hospital in Madrid, from June 2019 to March 2020. Patients were classified according to the activation or not of the JOIN app by the attending physician. Clinical data and time-to-procedures were retrieved from the app or from the hospital records and the Madrid regional stroke registry as appropriate and compared between both groups. An anonymous survey collected professionals’ opinions about the app and its use. Results A total of 282 stroke code activations were registered. The JOIN app was activated in 111 (39%) cases. They had a significant reduction in imaging-to-thrombolysis (31 vs 20 min, p = .026) and in door-to-thrombolysis times (51 vs 36 min, p = .004), with more patients achieving a door-to-needle time below 45 min (68.8% vs 37.8%, p = .016). About 50% of the users found the app useful for facilitating the diagnosis and decision-making; interoperability with clinical files was considered an opportunity for improvement. Conclusions This pilot study suggests that JOIN helps improve and document workflow metrics in acute stroke management in a comprehensive stroke centre. These results support testing JOIN in a prospective randomised study to confirm its usefulness and the general applicability of the results.
doi_str_mv 10.1177/20552076221137252
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We explore the feasibility and potential utility of a smartphone application for clinical and neuroimaging data sharing for improving workflow metrics of stroke code pathways, and professionals’ opinions about its use. Methods We performed an observational pilot study including stroke code activations at La Paz University Hospital in Madrid, from June 2019 to March 2020. Patients were classified according to the activation or not of the JOIN app by the attending physician. Clinical data and time-to-procedures were retrieved from the app or from the hospital records and the Madrid regional stroke registry as appropriate and compared between both groups. An anonymous survey collected professionals’ opinions about the app and its use. Results A total of 282 stroke code activations were registered. The JOIN app was activated in 111 (39%) cases. They had a significant reduction in imaging-to-thrombolysis (31 vs 20 min, p = .026) and in door-to-thrombolysis times (51 vs 36 min, p = .004), with more patients achieving a door-to-needle time below 45 min (68.8% vs 37.8%, p = .016). About 50% of the users found the app useful for facilitating the diagnosis and decision-making; interoperability with clinical files was considered an opportunity for improvement. Conclusions This pilot study suggests that JOIN helps improve and document workflow metrics in acute stroke management in a comprehensive stroke centre. These results support testing JOIN in a prospective randomised study to confirm its usefulness and the general applicability of the results.</description><identifier>ISSN: 2055-2076</identifier><identifier>EISSN: 2055-2076</identifier><identifier>DOI: 10.1177/20552076221137252</identifier><identifier>PMID: 36406153</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Original Research ; Smartphones ; Stroke ; Telemedicine</subject><ispartof>Digital health, 2022-01, Vol.8, p.20552076221137252</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022.</rights><rights>The Author(s) 2022. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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Manuscript content on this site is licensed under Creative Commons Licenses</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c484t-66255d1dbfa3eda5c0d6d42ac54fa9c2c460acd19dcbeeb7ed0b6a4a5c0ee9163</cites><orcidid>0000-0002-4302-6580</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669691/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2758348247?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,21964,25751,27851,27922,27923,37010,37011,44588,44943,45331,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36406153$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gutiérrez-Zúñiga, Raquel</creatorcontrib><creatorcontrib>Uclés, Jorge</creatorcontrib><creatorcontrib>Sánchez-Manso, Juan Carlos</creatorcontrib><creatorcontrib>Fuentes, Blanca</creatorcontrib><creatorcontrib>de Celis, Elena</creatorcontrib><creatorcontrib>Ruiz-Ares, Gerardo</creatorcontrib><creatorcontrib>Rodríguez-Pardo, Jorge</creatorcontrib><creatorcontrib>Rigual, Ricardo</creatorcontrib><creatorcontrib>Casado, Laura</creatorcontrib><creatorcontrib>Alonso, Elisa</creatorcontrib><creatorcontrib>Fernández-Prieto, Andrés</creatorcontrib><creatorcontrib>Navia, Pedro</creatorcontrib><creatorcontrib>Álvarez-Muelas, Alberto</creatorcontrib><creatorcontrib>Marín, Begoña</creatorcontrib><creatorcontrib>Díez Tejedor, Exuperio</creatorcontrib><creatorcontrib>Alonso de Leciñana, María</creatorcontrib><title>The use of a smartphone application to improve stroke code workflow metrics: A pilot study in a comprehensive stroke centre</title><title>Digital health</title><addtitle>Digit Health</addtitle><description>Background Timely coordination between stroke team members is of relevance for stroke code management. 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They had a significant reduction in imaging-to-thrombolysis (31 vs 20 min, p = .026) and in door-to-thrombolysis times (51 vs 36 min, p = .004), with more patients achieving a door-to-needle time below 45 min (68.8% vs 37.8%, p = .016). About 50% of the users found the app useful for facilitating the diagnosis and decision-making; interoperability with clinical files was considered an opportunity for improvement. Conclusions This pilot study suggests that JOIN helps improve and document workflow metrics in acute stroke management in a comprehensive stroke centre. 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We explore the feasibility and potential utility of a smartphone application for clinical and neuroimaging data sharing for improving workflow metrics of stroke code pathways, and professionals’ opinions about its use. Methods We performed an observational pilot study including stroke code activations at La Paz University Hospital in Madrid, from June 2019 to March 2020. Patients were classified according to the activation or not of the JOIN app by the attending physician. Clinical data and time-to-procedures were retrieved from the app or from the hospital records and the Madrid regional stroke registry as appropriate and compared between both groups. An anonymous survey collected professionals’ opinions about the app and its use. Results A total of 282 stroke code activations were registered. The JOIN app was activated in 111 (39%) cases. They had a significant reduction in imaging-to-thrombolysis (31 vs 20 min, p = .026) and in door-to-thrombolysis times (51 vs 36 min, p = .004), with more patients achieving a door-to-needle time below 45 min (68.8% vs 37.8%, p = .016). About 50% of the users found the app useful for facilitating the diagnosis and decision-making; interoperability with clinical files was considered an opportunity for improvement. Conclusions This pilot study suggests that JOIN helps improve and document workflow metrics in acute stroke management in a comprehensive stroke centre. These results support testing JOIN in a prospective randomised study to confirm its usefulness and the general applicability of the results.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>36406153</pmid><doi>10.1177/20552076221137252</doi><orcidid>https://orcid.org/0000-0002-4302-6580</orcidid><oa>free_for_read</oa></addata></record>
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subjects Original Research
Smartphones
Stroke
Telemedicine
title The use of a smartphone application to improve stroke code workflow metrics: A pilot study in a comprehensive stroke centre
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