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Testing verbal quantifiers for social norms messages in cancer screening: evidence from an online experiment

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posted on 2023-06-28, 12:36 authored by Sandro T Stoffel, Maria Goodwin, Monika Sieverding, Ivo Vlaev, Christian von Wagner

Background: Studies have shown that presenting correct information about group norms to correct misperceptions of norms can influence health behaviours. In two online studies we investigated how different ways of communicating the current uptake of 43% of the English Bowel Scope Screening (BSS) programme affects intention among disinclined men and women.

Methods: In the first study, 202 participants were asked to interpret eight quantifiers for 43% uptake (‘few’, ‘many’, ‘a considerable number’, ‘a large number’, ‘a great number’, ‘a lot’, ‘numerous’ and ‘nearly half’) and to indicate how misleading they perceived each of them to be. In the second study, with 1245 participants, we compared the motivational impact of two quantifiers (‘a large number’ and ‘nearly half’ which were associated with the highest perceived uptake (48.9%) and considered least misleading in study 1 respectively) with a control message that did not contain any information on uptake, and a message which communicated actual uptake as a proportion (43%).

Results: While we found that both verbal quantifiers increased screening intentions compared with the control group (from 7.8 to 12.5%, aOR 1.72; 95%CI 1.00–2.96 in the case of ‘a large number’ and 14.3%, aOR 2.02; 95%CI 1.20–3.38 for ‘nearly half’), simply communicating that 43% do the test, however, had no impact on intentions (9.9% vs. 7.8% aOR 1.25; 95%CI 0.73–2.16).

Conclusion: Verbal quantifiers can be used to improve the perception of low uptake figures and avoid a demotivating effect.

Funding

Cancer Research UK (C1418/A14134)

History

School

  • Sport, Exercise and Health Sciences

Published in

BMC Public Health

Volume

19

Publisher

BMC, part of Springer Nature

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Acceptance date

2019-05-16

Publication date

2019-05-29

Copyright date

2019

eISSN

1471-2458

Language

  • en

Depositor

Maria Goodwin. Deposit date: 26 June 2023

Article number

658

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