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Toward Multidimensional Message Tailoring to Address COVID-19 and Influenza Vaccine-Hesitancy: A Latent Profile Analysis Approach.
Shen, Lijiang.
Afiliação
  • Shen L; Department of Communication Arts & Sciences, Pennsylvania State University.
Health Commun ; : 1-12, 2024 Feb 26.
Article em En | MEDLINE | ID: mdl-38408900
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Health Commun Assunto da revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Health Commun Assunto da revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido