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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

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.

Details

Original languageEnglish
Article number1519
Number of pages10
JournalHealthcare (Switzerland)
Volume10 (2022)
Issue number8
Publication statusPublished - 12 Aug 2022
Peer-reviewedYes

External IDs

ORCID /0000-0001-7465-8700/work/145223898
ORCID /0000-0001-5258-0025/work/146644922
PubMed 36011175
PubMedCentral PMC9407868

Keywords

Sustainable Development Goals

Keywords

  • drip and ship, endovascular therapy, quality assurance, stroke networks

Library keywords