Acceptance of vaccinations in pandemic outbreaks: a discrete choice experiment.
Acceptance of vaccinations in pandemic outbreaks: a discrete choice experiment.
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DOI：
10.1371/journal.pone.0102505
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
de Bekker-Grob EW
中科院分区：
文献类型：
--
作者：
Determann D;Korfage IJ;Lambooij MS;Bliemer M;Richardus JH;Steyerberg EW;de Bekker-Grob EW
预防措施对于限制新病毒的传播至关重要；它们的吸收是它们成功的关键。然而，大流行暴发中的疫苗接种率往往很低。我们的目标是了解疾病和疫苗接种特点如何决定公众对新的大流行疫苗的偏好。在一项基于互联网的离散选择实验(DCE)中，来自荷兰人群的536名参与者(参与率为49%)的代表性样本被问及在假设的传染病暴发中对疫苗接种计划的偏好。我们使用了基于两个疾病特征(疾病的易感性和严重性)和五个疫苗接种计划特征(有效性、安全性、关于疫苗接种的建议、媒体关注和自付费用)的情景。DCE的设计基于文献回顾、专家访谈和焦点小组讨论。小组潜伏期Logit模型被用来估计个体愿意做出哪些权衡。所有上述特征都影响了受访者对疫苗接种的偏好。偏好的异质性很大。表示从来不赞成接种疫苗的女性与表示(可能)愿意接种疫苗的男性做出了不同的取舍。正如预期的那样，受访者更喜欢并愿意为更有效的疫苗支付更高的价格，特别是在疫情更严重的情况下(10%的有效疫苗为6-39欧元)。效力、自付费用和为疫苗提供建议的机构的变化都极大地影响了预测的接种量。我们的结论是，不同的疾病和疫苗接种计划的特点影响受访者对大流行疫苗接种计划的偏好。在大流行期间负责预防措施的机构可以利用自付费用和提供建议的方式影响疫苗接种的知识，以改进其应对未来大流行爆发的计划。偏好的异质性表明，关于疫苗接种的信息需要根据性别和接种意愿的不同而有不同的目标。
Preventive measures are essential to limit the spread of new viruses; their uptake is key to their success. However, the vaccination uptake in pandemic outbreaks is often low. We aim to elicit how disease and vaccination characteristics determine preferences of the general public for new pandemic vaccinations. In an internet-based discrete choice experiment (DCE) a representative sample of 536 participants (49% participation rate) from the Dutch population was asked for their preference for vaccination programs in hypothetical communicable disease outbreaks. We used scenarios based on two disease characteristics (susceptibility to and severity of the disease) and five vaccination program characteristics (effectiveness, safety, advice regarding vaccination, media attention, and out-of-pocket costs). The DCE design was based on a literature review, expert interviews and focus group discussions. A panel latent class logit model was used to estimate which trade-offs individuals were willing to make. All above mentioned characteristics proved to influence respondents’ preferences for vaccination. Preference heterogeneity was substantial. Females who stated that they were never in favor of vaccination made different trade-offs than males who stated that they were (possibly) willing to get vaccinated. As expected, respondents preferred and were willing to pay more for more effective vaccines, especially if the outbreak was more serious (€6–€39 for a 10% more effective vaccine). Changes in effectiveness, out-of-pocket costs and in the body that advises the vaccine all substantially influenced the predicted uptake. We conclude that various disease and vaccination program characteristics influence respondents’ preferences for pandemic vaccination programs. Agencies responsible for preventive measures during pandemics can use the knowledge that out-of-pocket costs and the way advice is given affect vaccination uptake to improve their plans for future pandemic outbreaks. The preference heterogeneity shows that information regarding vaccination needs to be targeted differently depending on gender and willingness to get vaccinated.
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