Toward Multidimensional Message Tailoring to Address COVID-19 and Influenza Vaccine-Hesitancy: A Latent Profile Analysis Approach.

IF 3 3区 医学 Q1 COMMUNICATION Health Communication Pub Date : 2024-11-01 Epub Date: 2024-02-26 DOI:10.1080/10410236.2024.2321763
Lijiang Shen
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Abstract

Vaccines remain the best strategy as the COVID-19 pandemic enters into later stages and governments begin to shed pandemic-control measures. Vaccine hesitancy continues to be a major obstacle in efforts to end the pandemic. This study reports formative evaluation research that adopted a multidimensional approach using latent profile analysis to audience segmentation and message targeting. Within the framework of the integrated behavioral model, data were collected from a US national survey to explore the dimensions in which vaccine-confident vs. -hesitant individuals differed significantly across the topics of COVID-19 and influenza. Latent profile analyses were performed to identify subgroups and establish measurement invariance between COVID-19 and influenza vaccines. Matching message strategies were proposed for the distinctive characteristics of the subgroups for both topics and to be tested in future research.

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针对 COVID-19 和流感疫苗致病性的多维信息定制:潜在特征分析方法。
随着 COVID-19 大流行进入后期阶段,各国政府开始放弃大流行控制措施,疫苗仍是最佳策略。对疫苗的犹豫不决仍然是终止大流行的主要障碍。本研究报告采用了一种多维方法,利用潜在特征分析对受众进行细分,并确定信息的目标。在综合行为模型的框架内,研究人员从一项美国全国调查中收集了数据,以探索在 COVID-19 和流感主题中,疫苗自信者与疫苗不自信者在哪些方面存在显著差异。我们进行了潜在特征分析,以确定亚群,并建立 COVID-19 和流感疫苗之间的测量不变性。针对两个主题的亚群的不同特征提出了匹配信息策略,并将在未来的研究中进行测试。
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来源期刊
CiteScore
8.20
自引率
10.30%
发文量
184
期刊介绍: As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.
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