Community Knowledge and Awareness of Stroke in New Zealand.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 22 07 2019
revised: 27 11 2019
accepted: 01 12 2019
pubmed: 28 12 2019
medline: 23 6 2020
entrez: 28 12 2019
Statut: ppublish

Résumé

Community knowledge and stroke awareness is crucial for primary prevention of stroke and timely access to stroke treatments including acute reperfusion therapies. We conducted a national telephone survey to quantify the level of community stroke awareness. A random sample of 400 adults in New Zealand (NZ), stratified by the 4 main ethnic groups, was surveyed. Eligible participants answered stroke awareness questions using both unprompted (open-ended) and prompted questions (using a list). Proportional odds logistic regression models were used to identify factors associated with stroke awareness. Only 1.5% of participants named stroke as a major cause of death. The stroke signs and symptoms most frequently identified from a list were sudden speech difficulty (94%) and sudden 1-sided weakness (92%). Without prompting, 78% of participants correctly identified at least 1 risk factor, 62% identified at least 2, and 35% identified 3 or more. When prompted with the list, scores increased 10-fold compared with unprompted responses. Ethnic disparities were observed, with Pacific peoples having the lowest level of awareness among the 4 ethnic groups. Higher education level, higher income, and personal experience of stroke were predictive of greater awareness (P ≤ .05). Stroke was not recognized as a major cause of death. Although identification of stroke risk factors was high with prompting, awareness was low without prompting, particularly among those with lower education and income. Nationwide, culturally tailored public awareness campaigns are necessary to improve knowledge of stroke risk factors, recognition of stroke in the community and appropriate actions to take in cases of suspected stroke.

Identifiants

pubmed: 31879136
pii: S1052-3057(19)30688-3
doi: 10.1016/j.jstrokecerebrovasdis.2019.104589
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104589

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Rita V Krishnamurthi (RV)

National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand. Electronic address: rita.krishnamurthi@aut.ac.nz.

Suzanne Barker-Collo (S)

School of Psychology, The University of Auckland, Auckland, New Zealand.

Peter Alan Barber (PA)

Centre for Brain Research, University of Auckland, Auckland, New Zealand; Department of Medicine, University of Auckland, Auckland, New Zealand.

Lynette J Tippett (LJ)

School of Psychology, The University of Auckland, Auckland, New Zealand; Centre for Brain Research, University of Auckland, Auckland, New Zealand.

John C Dalrymple-Alford (JC)

Department of Psychology, University of Canterbury, Christchurch, New Zealand; New Zealand Brain Research Institute, Christchurch, New Zealand.

Bronwyn Tunnage (B)

National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand; Department of Paramedicine, Auckland University of Technology, Auckland, New Zealand.

Susan Mahon (S)

National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.

Priyakumari G Parmar (PG)

National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.

Melanie Moylan (M)

Department of Biostatistics and Epidemiology, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.

Valery L Feigin (VL)

National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.

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Classifications MeSH