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运用健康信念模型识别美国孕妇样本中新冠疫苗接种意愿的预测因素:一项横断面调查

Using the Health Belief Model to Identify Predictors of COVID-19 Vaccine Acceptance among a Sample of Pregnant Women in the U.S.: A Cross-Sectional Survey.

作者信息

Jones Aubrey, Wallis Dorothy

机构信息

College of Social Work, The University of Kentucky, Lexington, KY 40506, USA.

College of Social Work, The University of Tennessee, Knoxville, TN 37996, USA.

出版信息

Vaccines (Basel). 2022 May 25;10(6):842. doi: 10.3390/vaccines10060842.

Abstract

The aim of the study was to identify factors that predict acceptance of the COVID-19 vaccine among pregnant women. Using the Health Belief Model, the authors administered a cross-sectional survey of pregnant and postpartum women in the United States during the COVID-19 pandemic. Overall, 227 women agreed to participate and completed the entire survey. Over half (59%) the participants had received the COVID-19 vaccine at the time of the study. Perceived barriers to vaccination (p < 0.001) and perceived benefits (p < 0.001) to vaccination were statistically significant predictors of vaccination. Trust in healthcare providers was also statistically predictive of vaccination (p = 0.001). Binary regression results were statistically significant (χ2(9) = 79.90, p < 0.001), suggesting that perceived benefits, barriers, severity, and susceptibility scores had a statistically significant effect on the odds of a participant being vaccinated. Results indicate a need for increased patient education regarding COVID-19 vaccination during pregnancy, including the benefits of vaccination for mother and fetus.

摘要

该研究的目的是确定预测孕妇接受新冠疫苗接种情况的因素。作者运用健康信念模型,在新冠疫情期间对美国的孕妇和产后女性进行了一项横断面调查。总体而言,227名女性同意参与并完成了整个调查。超过半数(59%)的参与者在研究时已接种新冠疫苗。感知到的接种疫苗的障碍(p < 0.001)和感知到的接种疫苗的益处(p < 0.001)是接种疫苗的统计学显著预测因素。对医疗保健提供者的信任在统计学上也可预测接种情况(p = 0.001)。二元回归结果具有统计学显著性(χ2(9) = 79.90,p < 0.001),表明感知到的益处、障碍、严重性和易感性得分对参与者接种疫苗的几率有统计学显著影响。结果表明,需要加强对孕期新冠疫苗接种的患者教育,包括接种疫苗对母亲和胎儿的益处。

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