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The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample
OBJECTIVE: To evaluate the effect of presenting positively attribute-framed side effect information on COVID-19 booster vaccine intention relative to standard negatively-framed wording and a no-intervention control. DESIGN AND PARTICIPANTS: A representative sample of Australian adults (N = 1204) wer...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922584/ https://www.ncbi.nlm.nih.gov/pubmed/36803896 http://dx.doi.org/10.1016/j.vaccine.2023.02.023 |
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author | Barnes, K. Faasse, K. Colagiuri, B. |
author_facet | Barnes, K. Faasse, K. Colagiuri, B. |
author_sort | Barnes, K. |
collection | PubMed |
description | OBJECTIVE: To evaluate the effect of presenting positively attribute-framed side effect information on COVID-19 booster vaccine intention relative to standard negatively-framed wording and a no-intervention control. DESIGN AND PARTICIPANTS: A representative sample of Australian adults (N = 1204) were randomised to one of six conditions within a factorial design: Framing (Positive; Negative; Control) × Vaccine (Familiar (Pfizer); Unfamiliar (Moderna)). INTERVENTION: Negative Framing involved presenting the likelihood of experiencing side effects (e.g., heart inflammation is very rare, 1 in every 80,000 will be affected), whereas Positive Framing involved presenting the same information but as the likelihood of not experiencing side effects (e.g., 79,999 in every 80,000 will not be affected). PRIMARY OUTCOME: Booster vaccine intention measured pre- and post-intervention. RESULTS: Participants were more familiar with the Pfizer vaccine (t(1203) = 28.63, p <.001, Cohen’s d(z) = 0.83). Positive Framing (M = 75.7, SE = 0.9, 95% CI = [73.9, 77.4]) increased vaccine intention relative to Negative Framing (M = 70.7, SE = 0.9, 95% CI = [68.9, 72.4]) overall (F(1, 1192) = 4.68, p =.031, η(p)(2) = 0.004). Framing interacted with Vaccine and Baseline Intention (F(2, 1192) = 6.18, p =.002, η(p)(2) = 0.01). Positive Framing was superior, or at least equal, to Negative Framing and Control at increasing Booster Intention, irrespective of participants’ pre-intervention level of intent and vaccine type. Side effect worry and perceived severity mediated the effect of Positive vs. Negative Framing across vaccines. CONCLUSION: Positive framing of side effect information appears superior for increasing vaccine intent relative to the standard negative wording currently used. PRE-REGISTRATION: See: aspredicted.org/LDX_2ZL. |
format | Online Article Text |
id | pubmed-9922584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99225842023-02-13 The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample Barnes, K. Faasse, K. Colagiuri, B. Vaccine Article OBJECTIVE: To evaluate the effect of presenting positively attribute-framed side effect information on COVID-19 booster vaccine intention relative to standard negatively-framed wording and a no-intervention control. DESIGN AND PARTICIPANTS: A representative sample of Australian adults (N = 1204) were randomised to one of six conditions within a factorial design: Framing (Positive; Negative; Control) × Vaccine (Familiar (Pfizer); Unfamiliar (Moderna)). INTERVENTION: Negative Framing involved presenting the likelihood of experiencing side effects (e.g., heart inflammation is very rare, 1 in every 80,000 will be affected), whereas Positive Framing involved presenting the same information but as the likelihood of not experiencing side effects (e.g., 79,999 in every 80,000 will not be affected). PRIMARY OUTCOME: Booster vaccine intention measured pre- and post-intervention. RESULTS: Participants were more familiar with the Pfizer vaccine (t(1203) = 28.63, p <.001, Cohen’s d(z) = 0.83). Positive Framing (M = 75.7, SE = 0.9, 95% CI = [73.9, 77.4]) increased vaccine intention relative to Negative Framing (M = 70.7, SE = 0.9, 95% CI = [68.9, 72.4]) overall (F(1, 1192) = 4.68, p =.031, η(p)(2) = 0.004). Framing interacted with Vaccine and Baseline Intention (F(2, 1192) = 6.18, p =.002, η(p)(2) = 0.01). Positive Framing was superior, or at least equal, to Negative Framing and Control at increasing Booster Intention, irrespective of participants’ pre-intervention level of intent and vaccine type. Side effect worry and perceived severity mediated the effect of Positive vs. Negative Framing across vaccines. CONCLUSION: Positive framing of side effect information appears superior for increasing vaccine intent relative to the standard negative wording currently used. PRE-REGISTRATION: See: aspredicted.org/LDX_2ZL. The Author(s). Published by Elsevier Ltd. 2023-03-17 2023-02-13 /pmc/articles/PMC9922584/ /pubmed/36803896 http://dx.doi.org/10.1016/j.vaccine.2023.02.023 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Barnes, K. Faasse, K. Colagiuri, B. The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample |
title | The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample |
title_full | The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample |
title_fullStr | The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample |
title_full_unstemmed | The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample |
title_short | The impact of side effect framing on COVID-19 booster vaccine intentions in an Australian sample |
title_sort | impact of side effect framing on covid-19 booster vaccine intentions in an australian sample |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922584/ https://www.ncbi.nlm.nih.gov/pubmed/36803896 http://dx.doi.org/10.1016/j.vaccine.2023.02.023 |
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