Risk communication in acute stroke patients - from qualitative data to a pilot randomised controlled trial.

Evidence-based patient information Evidenzbasierte Patienteninformationen Knowledge Numerical data Numerische Daten Prevention Prävention Risikokommunikation Risk communication Schlaganfall Stroke Wissen

Journal

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
ISSN: 2212-0289
Titre abrégé: Z Evid Fortbild Qual Gesundhwes
Pays: Netherlands
ID NLM: 101477604

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 20 04 2021
revised: 11 10 2021
accepted: 02 01 2022
pubmed: 2 3 2022
medline: 25 5 2022
entrez: 1 3 2022
Statut: ppublish

Résumé

The probability of recurring strokes in patients with atrial fibrillation is high. Within 1.8 years, 6.6 % of the patients suffered a new stroke. While effective secondary prevention options exist, low adherence challenges effective medical treatment. The aim of our study was to examine the risk understanding of acute stroke patients and to find the best way to communicate risk reduction. Risk communication had three formats: a text, a pictogram, and a cube diagram. All three were developed on the basis of the criteria of evidence-based patient information. Patients who were admitted to the stroke unit and diagnosed with acute stroke, assessed the information material. Data on secondary prevention using acetylsalicylic acid were taken as an example, with no reference to actual patient treatment. In a first step, we interviewed a focus group to check the feasibility of the questionnaire (qualitative study). In the second step, the information material was tested in a pilot randomized controlled trial. Acute stroke patients (qualitative study, n=13) understood the information and were interested in numerical risk communication. The visualized representations were superior in terms of understandability of the numbers communicated (pilot randomized controlled trial, n=60, 50 % correct answers for question 1, p value of 0.502, and 55 % correct answers for question 2, p value of 0.338). Stroke-related neurologic deficits, measured with the National Institute of Health Stroke Scale (NIHSS) on admission, revealed a significant influence on the number of correct answers to stroke risk questions, whereas the type of stroke and education did not. Acute stroke patients were able to understand risk communication. Visualization helped them capture information on stroke risk.

Identifiants

pubmed: 35227636
pii: S1865-9217(22)00002-2
doi: 10.1016/j.zefq.2022.01.001
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

19-27

Informations de copyright

Copyright © 2022. Published by Elsevier GmbH.

Auteurs

Anna Artmann (A)

Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany. Electronic address: Anna_artmann@icloud.com.

Anne Christin Rahn (AC)

Institute of Social Medicine & Epidemiology, Nursing Research Unit, University of Lübeck, Lübeck, Germany.

Sascha Köpke (S)

Institute of Social Medicine & Epidemiology, Nursing Research Unit, University of Lübeck, Lübeck, Germany.

Götz Thomalla (G)

Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.

Christoph Heesen (C)

Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; Institut for Neuroimmunology und Multiple Sklerosis, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.

Anna Christina Alegiani (AC)

Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; Asklepsios Klinik Altona, Hamburg, Germany.

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Classifications MeSH