Behavioral economic methods predict future COVID-19 vaccination.
Behavioral economic methods predict future COVID-19 vaccination.
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DOI：
10.1093/tbm/ibac057
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发表时间：
2022-11-16
影响因子：
3.6
通讯作者：
Hursh, Steven R.
中科院分区：
文献类型：
--
作者：
Strickland, Justin C.;Reed, Derek D.;Dayton, Lauren;Johnson, Matthew W.;Latkin, Carl;Schwartz, Lindsay P.;Hursh, Steven R.
提高疫苗使用率对包括COVID-19在内的许多疾病至关重要，因此需要采用新的方法来预测疫苗使用率。行为经济学方法已经发展成为识别健康行为参与机制的快速、可扩展的手段。然而，大多数使用这些程序的研究是横断面的，并且评估了已经建立的剧目的行为预测。评估尚未经历的行为的假设任务的有效性对于在行为健康中使用这些程序很重要。我们在COVID-19大流行期间使用疫苗接种来测试对一种新的假设行为（COVID-19疫苗接种）的反应是否可以预测后来的现实世界反应。参与者（N = 333）完成了一项行为经济学假设购买任务，以评估基于功效的假设COVID-19疫苗的接种意愿。这项工作于2020年8月完成，当时还没有COVID-19疫苗的临床试验数据。大约一年后，当2021年6月和2021年11月COVID-19疫苗广泛可用时，参与者完成了随访评估，并测量了疫苗接种状况。根据2020年8月收集的数据进行了疫苗接种预测。在控制了包括政治倾向、延迟折扣、流感疫苗接种史和单一项目接种意图在内的其他重要预测因素后，疫苗需求是疫苗接种的重要预测因素。这些发现显示了行为经济学程序的预测有效性，该程序明确设计用于衡量参与者有限或没有直接先前经验或暴露的行为。正对应支持这些假设安排的有效性，以预测疫苗接种的利用和进步行为经济学方法。行为经济学方法可以预测1年后的COVID-19疫苗接种情况，其预测结果超出了包括政治倾向、流感疫苗接种史和单一项目疫苗接种意向在内的重要预测因素。
Increasing vaccine utilization is critical for numerous diseases, including COVID-19, necessitating novel methods to forecast uptake. Behavioral economic methods have been developed as rapid, scalable means of identifying mechanisms of health behavior engagement. However, most research using these procedures is cross-sectional and evaluates prediction of behaviors with already well-established repertories. Evaluation of the validity of hypothetical tasks that measure behaviors not yet experienced is important for the use of these procedures in behavioral health. We use vaccination during the COVID-19 pandemic to test whether responses regarding a novel, hypothetical behavior (COVID-19 vaccination) are predictive of later real-world response. Participants (N = 333) completed a behavioral economic hypothetical purchase task to evaluate willingness to receive a hypothetical COVID-19 vaccine based on efficacy. This was completed in August 2020, before clinical trial data on COVID-19 vaccines. Participants completed follow-up assessments approximately 1 year later when the COVID-19 vaccines were widely available in June 2021 and November 2021 with vaccination status measured. Prediction of vaccination was made based on data collected in August 2020. Vaccine demand was a significant predictor of vaccination after controlling for other significant predictors including political orientation, delay discounting, history of flu vaccination, and a single-item intent to vaccinate. These findings show predictive validity of a behavioral economic procedure explicitly designed to measure a behavior for which a participant has limited-to-no direct prior experience or exposure. Positive correspondence supports the validity of these hypothetical arrangements for predicting vaccination utilization and advances behavioral economic methods. Behavioral economic methods can predict COVID-19 vaccination 1 year later above and beyond significant predictors including political orientation, history of flu vaccination, and a single-item intention to vaccinate.
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DOI：
10.1111/j.1530-0277.2011.01656.x
发表时间：
2012-04-01
影响因子：
3.2
作者：
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通讯作者：
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影响因子：
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影响因子：
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影响因子：
2.7
作者：
Johnson, MW;Bickel, WK
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影响因子：
13.8
作者：
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