NDLI: P.065 The impact of a risk algorithm on time-to-care: targeting triage for acute cerebrovascular syndrome (ACVS) patients in a rapid TIA clinic

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P.065 The impact of a risk algorithm on time-to-care: targeting triage for acute cerebrovascular syndrome (ACVS) patients in a rapid TIA clinic

Content Provider	Scilit
Author	Bibok, M. Henri-Bhargava, Ar Morrison, J. Votova, K.
Copyright Year	2016
Description	Background: Approximately, one-third of TIA clinics use the $ABCD^{2}$ score to triage referrals. However, the usefulness of the score is limited because of its low specificity for non-cerebrovascular/mimic conditions. Timely access of referred patients to specialized TIA clinics may reduce recurrent stroke. Methods: The SpecTRA project implemented a novel electronic triage system in the TIA clinic that services Vancouver Island (BC), which replaced the existing $ABCD^{2}$ triage model. A clinical classifier generating an ACVS probability score was calculated on the basis of the clinic referral form information. Next, a time-varying $ABCD^{2}$-based risk score derived from Johnston et al. (2007) was calculated, which is then weighted by the ACVS probability score to produce a finalized triage score. Time-to-care was compared pre- (2013/14) and post- (2014/15) implementation. Results: One year results show a statistically significant improvement in that time-to-care for ACVS patients $(ABCD^{2}$ 4/5) was one day earlier with the new triage system (median= 4days since symptom onset; N=250) compared to the previous year (median=5days; N=255) (Mann-Whitney U=38130, p< 0.001). No difference in unit arrival times (median= 5days) for non-cerebrovascular patients was observed (Mann-Whitney U=5563, p= 0.15). Conclusions: The performance of our ACVS triage system highlights quality improvement potential in time-to-care for outpatient TIA clinics.
Related Links	https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0F0D54482C34B6C3A5146A93411A0D5F/S0317167116001694a.pdf/div-class-title-p-065-the-impact-of-a-risk-algorithm-on-time-to-care-targeting-triage-for-acute-cerebrovascular-syndrome-acvs-patients-in-a-rapid-tia-clinic-div.pdf
Ending Page	S36
Page Count	1
Starting Page	S36
ISSN	03171671
e-ISSN	20570155
DOI	10.1017/cjn.2016.169
Journal	Canadian Journal of Neurological Sciences
Issue Number	S2
Volume Number	43
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	2016-06-01
Access Restriction	Open
Subject Keyword	Canadian Journal of Neurological Sciences Respiratory System
Content Type	Text
Resource Type	Synopsis
Subject	Neurology Neurology (clinical)

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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