Cargando…

Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study

BACKGROUND: We sought to identify factors for delayed drip-and-ship (DS) management in stroke patients transferred from primary hospitals to our comprehensive stroke center (CSC) for endovascular therapy (EVT). METHODS: We conducted a retrospective study of all patients transferred to our CSC for EV...

Descripción completa

Detalles Bibliográficos
Autores principales: Hädrich, Kevin, Krukowski, Pawel, Barlinn, Jessica, Gawlitza, Matthias, Gerber, Johannes C., Puetz, Volker, Linn, Jennifer, Kaiser, Daniel P. O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407868/
https://www.ncbi.nlm.nih.gov/pubmed/36011175
http://dx.doi.org/10.3390/healthcare10081519
_version_ 1784774468121395200
author Hädrich, Kevin
Krukowski, Pawel
Barlinn, Jessica
Gawlitza, Matthias
Gerber, Johannes C.
Puetz, Volker
Linn, Jennifer
Kaiser, Daniel P. O.
author_facet Hädrich, Kevin
Krukowski, Pawel
Barlinn, Jessica
Gawlitza, Matthias
Gerber, Johannes C.
Puetz, Volker
Linn, Jennifer
Kaiser, Daniel P. O.
author_sort Hädrich, Kevin
collection PubMed
description BACKGROUND: We sought to identify factors for delayed drip-and-ship (DS) management in stroke patients transferred from primary hospitals to our comprehensive stroke center (CSC) for endovascular therapy (EVT). METHODS: We conducted a retrospective study of all patients transferred to our CSC for EVT between 2016 and 2020. We analyzed emergency and hospital records to assess DS process times and factors predictive of delays. We dichotomized the admission period to 2016–2017 and 2018–2020 according to the main process optimization, including the introduction of a prenotification call. RESULTS: We included 869 DS patients (median age 76 years (IQR 65–82), NIHSS 16 (IQR 11–21), 278 min (IQR 243–335) from onset to EVT); 566 were transferred in 2018–2020. Admission in 2016–2017, during on-call, longer tranfer distance, and general anesthesia were factors independently associated with delayed onset to EVT time (F(5, 352) = 14.76, p < 0.000). Other factors associated with delayed DS management were: transfer mode, primary hospital type, site of large-vessel occlusion, and intravenous thrombolysis. Total transfer time was faster for distances <50 km by ambulance and for distances >71 km by helicopter. CONCLUSION: Assessment of DS processes and times throughout the patient pathway allows identification of potentially modifiable factors for improvement of the very time-critical workflow for stroke patients.
format Online
Article
Text
id pubmed-9407868
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94078682022-08-26 Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study Hädrich, Kevin Krukowski, Pawel Barlinn, Jessica Gawlitza, Matthias Gerber, Johannes C. Puetz, Volker Linn, Jennifer Kaiser, Daniel P. O. Healthcare (Basel) Article BACKGROUND: We sought to identify factors for delayed drip-and-ship (DS) management in stroke patients transferred from primary hospitals to our comprehensive stroke center (CSC) for endovascular therapy (EVT). METHODS: We conducted a retrospective study of all patients transferred to our CSC for EVT between 2016 and 2020. We analyzed emergency and hospital records to assess DS process times and factors predictive of delays. We dichotomized the admission period to 2016–2017 and 2018–2020 according to the main process optimization, including the introduction of a prenotification call. RESULTS: We included 869 DS patients (median age 76 years (IQR 65–82), NIHSS 16 (IQR 11–21), 278 min (IQR 243–335) from onset to EVT); 566 were transferred in 2018–2020. Admission in 2016–2017, during on-call, longer tranfer distance, and general anesthesia were factors independently associated with delayed onset to EVT time (F(5, 352) = 14.76, p < 0.000). Other factors associated with delayed DS management were: transfer mode, primary hospital type, site of large-vessel occlusion, and intravenous thrombolysis. Total transfer time was faster for distances <50 km by ambulance and for distances >71 km by helicopter. CONCLUSION: Assessment of DS processes and times throughout the patient pathway allows identification of potentially modifiable factors for improvement of the very time-critical workflow for stroke patients. MDPI 2022-08-12 /pmc/articles/PMC9407868/ /pubmed/36011175 http://dx.doi.org/10.3390/healthcare10081519 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hädrich, Kevin
Krukowski, Pawel
Barlinn, Jessica
Gawlitza, Matthias
Gerber, Johannes C.
Puetz, Volker
Linn, Jennifer
Kaiser, Daniel P. O.
Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study
title Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study
title_full Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study
title_fullStr Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study
title_full_unstemmed Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study
title_short Optimizing Time Management for Drip-and-Ship Stroke Patients Qualifying for Endovascular Therapy—A Single-Network Study
title_sort optimizing time management for drip-and-ship stroke patients qualifying for endovascular therapy—a single-network study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407868/
https://www.ncbi.nlm.nih.gov/pubmed/36011175
http://dx.doi.org/10.3390/healthcare10081519
work_keys_str_mv AT hadrichkevin optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT krukowskipawel optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT barlinnjessica optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT gawlitzamatthias optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT gerberjohannesc optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT puetzvolker optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT linnjennifer optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy
AT kaiserdanielpo optimizingtimemanagementfordripandshipstrokepatientsqualifyingforendovasculartherapyasinglenetworkstudy