成人接受COVID-19疫苗意愿的预测因素

Alo Edin Huka, Lami Alemeyehu, Dube Jara, Angefa Ayele, Tofik Shifa
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Methods An institution-based cross-sectional study was conducted among 385 study participants selected by a systematic random sampling technique. Data was collected through observation and structured questionnaires from April 10 to May 30, 2022. The collected data was cleaned and entered into EpiData 3.1 software before being exported to SPSS 25 statistical software for analysis. Bi-variable and multi-variable binary logistic regression model was used to identify the predictors of COVID-19 vaccine acceptance. The strength of association was measured using AOR with 95% confidence interval and significance was declared at p - value < 0.05. Result Magnitude of willingness to accept coronavirus disease-19 vaccine was 67.5% (95%Cl: 63–72). 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摘要

疫苗是一种有效和最终的解决方案,可以减轻2019年全球冠状病毒病的负担。然而,知识贫乏和不愿接受这种疫苗是包括埃塞俄比亚在内的不同国家管理COVID-19大流行的主要障碍。控制大流行将取决于接受冠状病毒病疫苗。然而,研究地区的冠状病毒疫苗接受度缺乏证据。本研究旨在评估埃塞俄比亚南部西古吉区布莱霍拉大学教学医院成年客户接受COVID-19疫苗的意愿及其相关因素。方法采用系统随机抽样方法,对385名研究对象进行基于机构的横断面调查。从2022年4月10日至5月30日,通过观察和结构化问卷调查收集数据。收集的数据清洗后输入EpiData 3.1软件,导出到SPSS 25统计软件进行分析。采用双变量和多变量二元logistic回归模型确定COVID-19疫苗接受度的预测因素。关联强度采用AOR测量,置信区间为95%,p值为<0.05. 结果对冠状病毒病-19疫苗的接受意愿为67.5% (95%Cl: 63 ~ 72)。良好的知识水平[AOR = 2.07,(1.17-3.64)]、慢性病史[AOR = 2.59,(1.4-4.78)]、政府工作人员[AOR = 2.35(1.1-5)]、良好的态度[AOR = 14.15(5.25-37.46)]、良好的依从性[AOR = 1.74(1.02-2.97)]是影响冠状病毒病2019疫苗接受意愿的显著因素。结论新型冠状病毒肺炎疫苗接受意愿程度较高,有待提高。知识、态度、慢性病、依从性和是否为政府雇员是与接受疫苗意愿相关的因素。应在不同层次上进行社区认识、宣传、社会动员和卫生教育。
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Predictors of willingness to accept COVID-19 vaccine among adults
Background Vaccines are an effective and ultimate solution that can decrease the burden of coronavirus disease 2019 worldwide. However, poor knowledge and unwillingness to accept this vaccine are key barriers to manage the COVID-19 pandemic in different countries including Ethiopia. Control of the pandemic will depend on the acceptance of coronavirus disease vaccine. However, there is a paucity of evidence on coronavirus disease vaccine acceptance in the study area. The current study was aimed to assess willingness to accept the COVID-19 vaccine and associated factors among adult clients attending Bule Hora University Teaching Hospital, West Guji Zone, southern Ethiopia. Methods An institution-based cross-sectional study was conducted among 385 study participants selected by a systematic random sampling technique. Data was collected through observation and structured questionnaires from April 10 to May 30, 2022. The collected data was cleaned and entered into EpiData 3.1 software before being exported to SPSS 25 statistical software for analysis. Bi-variable and multi-variable binary logistic regression model was used to identify the predictors of COVID-19 vaccine acceptance. The strength of association was measured using AOR with 95% confidence interval and significance was declared at p - value &lt; 0.05. Result Magnitude of willingness to accept coronavirus disease-19 vaccine was 67.5% (95%Cl: 63–72). Good knowledge [AOR = 2.07, (1.17–3.64)], history of chronic disease [AOR = 2.59, (1.4–4.78)], being a government employee [AOR = 2.35 (1.1–5)], having a favorable attitude [AOR = 14.15 (5.25–37.46)], and good adherence [AOR = 1.74 (1.02–2.97)] were factors that significantly associated with willingness to accept the coronavirus disease 2019 vaccine. Conclusion Magnitude of willingness to accept the COVID-19 vaccine was considerable and needs to be improved. Knowledge, attitude, chronic illness, adherence, and being a government employee were factors that associated with willingness to accept the vaccine. Community awareness, advocacy, social mobilization and health education should be given at different levels.
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