Literature DB >> 24064044

Reducing delay to stroke thrombolysis--lessons learnt from the Stroke 90 Project.

Jason Kendall1, Dipankar Dutta2, Elsa Brown3.   

Abstract

BACKGROUND: The Stroke 90 Project was implemented to reduce delays to stroke thrombolysis and involved 7 hospitals and 2 ambulance services in the Avon, Gloucester, Wiltshire and Somerset regional network. Interventions included a direct to CT (DtoCT) protocol for paramedics to transport patients directly to the CT scanner. Coincidentally, there were severe winter pressures on all participating emergency departments during this period.
METHODS: Comparison of data from 2 groups across all 7 hospitals: preintervention (n=136) and postintervention patients (n=215) thrombolysed from August 2012 to January 2013. The χ(2) test, t tests, multiple and linear regression were used for analysis.
RESULTS: Ambulance transport times were 56.8 min for preintervention versus 57.5 min for postintervention patients (p=0.78). 11.7% of preintervention patients received thrombolysis within 90 min of call for help versus 23.7% of postintervention cases (p=0.0135). 44% of postintervention patients entered the DtoCT pathway and achieved a mean reduction in door to CT time of 17 min (95% CI 11.5 to 21.5; p<0.0001) and a 19 min reduction in door to needle time (95% CI 10.8 to 26.8; p<0.0001). CT to needle times were 43.8 min preintervention and 42.1 min postintervention (p=0.57).
CONCLUSIONS: The DtoCT pathway was successful in reducing delays to thrombolysis and should be implemented routinely. The call to door and CT to needle times were not improved by our interventions and further work is required to streamline these. Factors beyond the control of most hospitals may play a role in delaying treatment, but local changes can be implemented to mitigate this. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Emergency Department; Stroke; Thrombolysis

Mesh:

Substances:

Year:  2013        PMID: 24064044     DOI: 10.1136/emermed-2013-202993

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  6 in total

1.  Do methods of hospital pre-alerts influence the on-scene times for acute pre-hospital stroke patients? A retrospective observational study.

Authors:  Jacob Gunn
Journal:  Br Paramed J       Date:  2021-09-01

Review 2.  A review of enhanced paramedic roles during and after hospital handover of stroke, myocardial infarction and trauma patients.

Authors:  Darren Flynn; Richard Francis; Shannon Robalino; Joanne Lally; Helen Snooks; Helen Rodgers; Graham McClelland; Gary A Ford; Christopher Price
Journal:  BMC Emerg Med       Date:  2017-02-23

3.  Generalization of the right acute stroke promotive strategies in reducing delays of intravenous thrombolysis for acute ischemic stroke: A meta-analysis.

Authors:  Qiang Huang; Jing-Ze Zhang; Wen-Deng Xu; Jian Wu
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

4.  How do interventions to improve the efficiency of acute stroke care affect prehospital times? A systematic review and narrative synthesis.

Authors:  Graham McClelland; Sarah Hepburn; Tracy Finch; Christopher I Price
Journal:  BMC Emerg Med       Date:  2022-09-03

5.  ACT-FAST: a quality improvement project to increase the percentage of acute stroke patients receiving intravenous thrombolysis within 60 minutes of arrival at the emergency department.

Authors:  Li Qi Chiu; Daniel Yong Jing Quek; Roslin Binte Salihan; Wai May Ng; Rozana Binte Othman; Chiao-Hao Lee; Daniel Chia Theng Oh
Journal:  Singapore Med J       Date:  2020-03-31       Impact factor: 3.331

6.  Interpretation of Brain CT Scans in the Field by Critical Care Physicians in a Mobile Stroke Unit.

Authors:  Maren Ranhoff Hov; Erik Zakariassen; Thomas Lindner; Terje Nome; Kristi G Bache; Jo Røislien; Jostein Gleditsch; Volker Solyga; David Russell; Christian G Lund
Journal:  J Neuroimaging       Date:  2017-07-27       Impact factor: 2.486

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.