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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3380-3391 |
| Number of pages | 12 |
| Journal | Health Communication |
| Volume | 39 |
| Issue number | 13 |
| DOIs | |
| State | Published - 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Health(social science)
- Communication
Fingerprint
Dive into the research topics of 'Toward Multidimensional Message Tailoring to Address COVID-19 and Influenza Vaccine-Hesitancy: A Latent Profile Analysis Approach'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver