Message framing to inform cancer prevention pricing interventions in the UK and USA: a factorial experiment, 2019.

Message framing to inform cancer prevention pricing interventions in the UK and USA: a factorial experiment, 2019.
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为英国和美国癌症预防定价干预措施提供信息的信息框架:2019年析因实验。

DOI:
10.1136/bmjopen-2020-041324
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发表时间:
2021-01-25
期刊:
影响因子:
2.9
通讯作者:
Conway DI
Conway DI
中科院分区:
医学3区
文献类型:
--
作者:
Lee JGL;Cristello JV;Buckton CH;Carey RN;Trucco EM;Schenk PM;Ikegwuonu T;Hilton S;Golden SD;Conway DI

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促进对如何利用信息框架在不同的酒类、烟草和含糖饮料/食品的不同定价政策中最大限度地获得公众支持的理解,以防止消费致癌产品。我们设计了一个3×4×3的随机析因实验来测试三种定价策略、四种消息框架和三种产品对消息的反应。2019年在线调查小组(Qualtrics)。来自英国和美国的成年人(N=1850)。参与者随机观看了36条不同的信息中的一条,这些信息因定价政策(增加税收、取消价格折扣、放弃低成本产品)、四个框架和产品(酒精、烟草、含糖饮料/食品)而有所不同。我们评估了信息特征与四个因变量之间的关系。三是与政策支持有关:(1)对短信中提到的产品增加税收;(2)取消短信中提到的产品的价格折扣和特惠;(3)取消短信中提到的产品的低价版本。一种与抵抗力有关,这是一种对自由受到限制的心理反应。我们发现消息中的定价政策没有影响。关于儿童和降低癌症风险的框架缓和了一些结果,显示出在现实世界中应用的希望。我们发现,不同产品的支持度和反应度存在差异,烟草政策的支持率和反应度最高,酒精政策的支持率和反应度较低,含糖饮料/食品政策的支持率和反应度最低。使用政策干预的癌症预防努力可以从信息框架文献中获得信息。我们的结果为英国和美国的癌症预防宣传工作提供了见解,并强调了提高致癌产品成本的税收与非税收方法会导致消费者做出类似的反应。
To advance understanding of how message framing can be used to maximise public support across different pricing policies for alcohol, tobacco and sugary drinks/foods that prevent consumption of cancer-causing products. We designed a 3×4×3 randomised factorial experiment to test responses to messages with three pricing policies, four message frames and three products. Online survey panel (Qualtrics) in 2019. Adults (N=1850) from the UK and USA. Participants randomly viewed one of 36 separate messages that varied by pricing policy (increasing taxes, getting rid of price discounts, getting rid of low-cost products), four frames and product (alcohol, tobacco, sugary drinks/foods). We assessed the relationship between the message characteristics and four dependent variables. Three were related to policy support: (1) increasing taxes on the product mentioned in the message, (2) getting rid of price discounts and special offers on the product mentioned in the message and (3) getting rid of low-cost versions of the product mentioned in the message. One was related to reactance, a psychological response to having one’s freedom limited. We found no effect for pricing policy in the message. Frames regarding children and reducing cancer risk moderated some outcomes, showing promise for real-world use. We found differences in support by product and reactance with greatest support and least reactance for tobacco policies, less support and more reactance for alcohol policies, and the least support and most reactance for sugary drinks/foods policies. Cancer prevention efforts using policy interventions can be informed by the message framing literature. Our results offer insights for cancer prevention advocacy efforts across the UK and USA and highlight that tax versus non-tax approaches to increasing the cost of cancer-causing products result in similar responses from consumers.
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