Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Leonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, CA 90007, USA.
J Public Health (Oxf). 2024 Aug 25;46(3):e494-e499. doi: 10.1093/pubmed/fdae048.
The role of altruism in the acceptance of novel preventive healthcare technologies like vaccines has not been thoroughly elucidated.
We 1:1 randomized n = 2004 Amazon Mechanical Turk (MTurk) participants residing in the USA into a control or treatment arm with vaccination decisions framed altruistically, to elicit their preferences for COVID-19 vaccination using web-based discrete choice experiments. We used conditional and mixed logit models to estimate the impact of framing decisions in terms of altruism on vaccination acceptance.
Valid responses were provided by 1674 participants (control, n = 848; treatment, n = 826). Framing vaccination decisions altruistically had no significant effect on vaccination acceptance. Further, respondents' degree of altruism had no association with vaccination acceptance.
The MTurk sample may not be representative of the American population. We were unable to ascertain concordance between stated and revealed preferences.
Framing vaccination decisions in terms of altruism does not appear to significantly influence vaccination acceptance and may not be an effective nudging mechanism to increase the uptake of novel vaccines. Instead, a favorable vaccination profile appears to be the primary driver of uptake.
利他主义在接受新型预防保健技术(如疫苗)方面的作用尚未得到充分阐明。
我们在美国将 2004 名亚马逊土耳其机器人(MTurk)参与者进行 1:1 随机分组,分为对照组和治疗组,接种决策以利他主义为框架,使用基于网络的离散选择实验来引出他们对 COVID-19 接种的偏好。我们使用条件和混合对数模型来估计框架决策中利他主义对疫苗接种接受率的影响。
1674 名参与者(对照组,n=848;治疗组,n=826)提供了有效回复。将接种决策以利他主义为框架并没有对疫苗接种接受率产生显著影响。此外,受访者的利他主义程度与疫苗接种接受率无关。
MTurk 样本可能无法代表美国人口。我们无法确定表述偏好和揭示偏好之间的一致性。
以利他主义为框架来制定接种决策似乎不会显著影响疫苗接种的接受率,也可能不是增加新型疫苗接种率的有效推动机制。相反,有利的疫苗接种概况似乎是推动接种的主要因素。