Artikel: Understanding Parental Intentions for COVID-19 Child Vaccination: A Cross-Sectional Study From Jordan Using Theory of Planned Behavior.
Journal of multidisciplinary healthcare
2024 Band 17, Seite(n) 2729–2740
Abstract: Introduction: Using the Theory of Planned Behavior, this study addresses the factors that influence parental intentions to vaccinate their 12- to 17-year-old children against COVID-19. The study looked at how attitudes, subjective norms, perceived ... ...
Abstract | Introduction: Using the Theory of Planned Behavior, this study addresses the factors that influence parental intentions to vaccinate their 12- to 17-year-old children against COVID-19. The study looked at how attitudes, subjective norms, perceived behavioral control, and fear of the COVID-19 vaccine impact these intentions. Methods: Between November and December 2021, 396 Jordanian parents completed an anonymous online survey. A multivariate logistic regression analysis was used for analyzing the relationships. Results: While 94.7% of children had received routine vaccinations, only 23.5% intended to vaccinate their children against COVID-19, indicating a vaccine acceptance gap. The analysis revealed that attitudes are the most significant positive predictor of vaccination intent, accounting for 75% of the variance. Subjective norms had a positive influence on parents' decisions, whereas fear of the COVID-19 vaccine was a significant barrier. Perceived behavioral control had a small but negative effect, indicating significant challenges to vaccination. Conclusion: The Theory of Planned Behavior (TPB) clarifies numerous factors that influence parents' decisions to immunize their children against COVID-19. Understanding these factors is critical for narrowing the gap between high rates of routine vaccinations and low rates of COVID-19 vaccinations, as well as developing effective strategies to increase vaccine acceptance among parents. |
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Sprache | Englisch |
Erscheinungsdatum | 2024-06-04 |
Erscheinungsland | New Zealand |
Dokumenttyp | Journal Article |
ZDB-ID | 2453343-9 |
ISSN | 1178-2390 |
ISSN | 1178-2390 |
DOI | 10.2147/JMDH.S446467 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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