Background <p>Due to limited research on Asian Americans and COVID-19, we investigated the perspectives of Vietnamese Americans regarding COVID-19 vaccine acceptance, trusted sources of information, and pandemic-related challenges.</p> Methods <p>Vietnamese American adult residents in Texas were recruited between September 2021 through March 2022 to complete the NIH CEAL Common Survey 2 electronically in English or Vietnamese, which contains 23 questions about social determinants of health, information, trust, risk perception, testing and disease control, COVID-19 vaccination, and demographics. We analyzed data using bivariate logistic or linear regression models.</p> Results <p>Of the 224 completed responses, 181 participants were vaccinated (80.8%), 20 (8.9%) were partially (one of two-dose courses) vaccinated, and nine (4%) were unvaccinated. Of the unvaccinated individuals, 44.4% reported that getting vaccinated in the next 3&#xa0;months was “not likely at all,” and the top barriers included safety concerns (77.8%), side effects (66.7%), and vaccine efficacy (44.4%). Vietnamese-language responders had significantly higher odds of experiencing non-medical challenges in obtaining food (OR = 2.08, <i>p</i> = 0.020) and transportation (OR = 2.56, <i>p</i> = 0.008) than English-language responders. Older age was significantly associated with reporting non-medical challenges in obtaining food (<i>β</i> = 8.39, <i>p</i> &lt; 0.001), water (<i>β</i> = 9.58, <i>p</i> &lt; 0.05), medications (<i>β</i> = 6.43, <i>p</i> &lt; 0.05), and transportation (<i>β</i> = 5.69, <i>p</i> &lt; 0.05).</p> Conclusion <p>Our findings describe barriers to vaccine acceptance and reveal variance in the prevalence of non-medical challenges among Vietnamese-language participants. It also showed within-group variation in COVID-19 vaccine attitudes and trusted sources of information among Vietnamese Americans. Research with disaggregated data can guide strategies to address non-medical health disparities in diverse communities.</p>

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Perspectives of Vietnamese Americans Regarding COVID-19 Vaccine Acceptance, Trusted Sources of Information, and Pandemic-related Challenges

  • Celine Nguyen,
  • Ben King,
  • Jannette Diep,
  • Lauren Gilbert,
  • Bich-May Nguyen

摘要

Background

Due to limited research on Asian Americans and COVID-19, we investigated the perspectives of Vietnamese Americans regarding COVID-19 vaccine acceptance, trusted sources of information, and pandemic-related challenges.

Methods

Vietnamese American adult residents in Texas were recruited between September 2021 through March 2022 to complete the NIH CEAL Common Survey 2 electronically in English or Vietnamese, which contains 23 questions about social determinants of health, information, trust, risk perception, testing and disease control, COVID-19 vaccination, and demographics. We analyzed data using bivariate logistic or linear regression models.

Results

Of the 224 completed responses, 181 participants were vaccinated (80.8%), 20 (8.9%) were partially (one of two-dose courses) vaccinated, and nine (4%) were unvaccinated. Of the unvaccinated individuals, 44.4% reported that getting vaccinated in the next 3 months was “not likely at all,” and the top barriers included safety concerns (77.8%), side effects (66.7%), and vaccine efficacy (44.4%). Vietnamese-language responders had significantly higher odds of experiencing non-medical challenges in obtaining food (OR = 2.08, p = 0.020) and transportation (OR = 2.56, p = 0.008) than English-language responders. Older age was significantly associated with reporting non-medical challenges in obtaining food (β = 8.39, p < 0.001), water (β = 9.58, p < 0.05), medications (β = 6.43, p < 0.05), and transportation (β = 5.69, p < 0.05).

Conclusion

Our findings describe barriers to vaccine acceptance and reveal variance in the prevalence of non-medical challenges among Vietnamese-language participants. It also showed within-group variation in COVID-19 vaccine attitudes and trusted sources of information among Vietnamese Americans. Research with disaggregated data can guide strategies to address non-medical health disparities in diverse communities.