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基于 BASNEF 模型的老年人 COVID-19 疫苗后续剂量接种影响因素。

Factors affecting subsequent dose of COVID-19 vaccine uptake based on BASNEF model among older adults.

机构信息

Social Determinants of Health Research Center, Hamadan University of Medical Sciences and Department of Public Health, Asadabad School of Medical sciences, Asadabad, Iran, Hamadan, IR, Iran.

Urology and Nephrology Research Center, Hamadan University of Medical Sciences, Hamadan, IR, Iran.

出版信息

BMC Infect Dis. 2024 Jan 2;24(1):18. doi: 10.1186/s12879-023-08903-8.

Abstract

BACKGROUND

Vaccination is a primary prevention approach to preventing disease by disconnecting the transmission chain. The current study utilized a BASNEF model framework to identify factors influencing subsequent doses of COVID-19 vaccination among older adults.

METHODS

This cross-sectional study was performed in the west of Iran in May 2022. The participants were selected via multi-stage sampling. Finally, 1120 participants contributed to the present study. The questionnaire consisted of three sections: a) Socio-demographic characteristics, b) cognitive impairments tests, and c) Questionnaire about the subsequent dose of COVID-19 vaccine uptake based on the BASNEF model. Data were analyzed using the software IBM AMOS-20 and SPSS-23 via one-way analysis of variance (ANOVA) and independent sample T-tests were used, too. The significance level of statistical tests was regarded as less than 0.05.

RESULTS

The presented results of analyzing 50% of the variance of vaccination intention as the dependent variable (R square = 0.497) and 10% of the behavior variance as the dependent variable (R square = 0.104) can be explained based on the BASNEF model. The enabling factors (β = 0.636, p < 0.001) and the intention (β = 0.322, p < 0.001) were important factors for subsequent doses of COVID-19 vaccine uptake in older adults.

CONCLUSION

So, planning and implementing promotional intervention programs for older people (over 65; 80), females, illiterate, widows and divorced, good economic status, and urban areas is essential. It seems that enabling factors such as free vaccinations, vaccination inaccessible places such as public social security agencies, social supports such as involvement of the government and physicians, and improving information by the medium or knowledge-sharing experience, which can be further used to enhance the acceptance of subsequent doses of COVID-19 uptake in older adults.

摘要

背景

接种疫苗是通过断开传播链来预防疾病的主要预防方法。本研究利用 BASNEF 模型框架来确定影响老年人 COVID-19 疫苗后续剂量接种的因素。

方法

本横断面研究于 2022 年 5 月在伊朗西部进行。参与者通过多阶段抽样选择。最终,1120 名参与者参与了本研究。问卷包括三个部分:a)社会人口统计学特征,b)认知障碍测试,和 c)基于 BASNEF 模型的 COVID-19 疫苗后续剂量接种问卷。使用 IBM AMOS-20 和 SPSS-23 软件通过单向方差分析(ANOVA)分析数据,还使用了独立样本 T 检验。统计检验的显著性水平被认为小于 0.05。

结果

分析作为因变量的接种意愿 50%的方差(R 平方=0.497)和作为因变量的行为方差的 10%(R 平方=0.104)的结果可以根据 BASNEF 模型解释。促进因素(β=0.636,p<0.001)和意图(β=0.322,p<0.001)是老年人接种 COVID-19 后续剂量的重要因素。

结论

因此,为老年人(65 岁以上;80 岁)、女性、文盲、丧偶和离婚、经济状况良好和城市地区规划和实施促进干预计划至关重要。似乎可以利用促进因素,如免费接种疫苗、在公共社会保障机构等难以接种疫苗的地方接种疫苗、政府和医生的参与等社会支持,以及通过媒体或知识共享经验提高信息传播,这可以进一步用于提高老年人对 COVID-19 后续剂量接种的接受度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d6d/10763401/1cc16f5c1ca3/12879_2023_8903_Fig1_HTML.jpg

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3
Applying an extended protection motivation theory to predict Covid-19 vaccination intentions and uptake in 50-64 year olds in the UK.
Soc Sci Med. 2022 Apr;298:114819. doi: 10.1016/j.socscimed.2022.114819. Epub 2022 Feb 24.
5
Predicting vaccine uptake during COVID-19 crisis: A motivational approach.
Vaccine. 2022 Jan 21;40(2):288-297. doi: 10.1016/j.vaccine.2021.11.068. Epub 2021 Nov 27.
7
Evaluation of an Intervention Program for Promoting Breast Self-Examination Behavior in Employed Women in Iran.
Breast Cancer (Auckl). 2021 Feb 25;15:1178223421989657. doi: 10.1177/1178223421989657. eCollection 2021.
8
Predictors of intention to vaccinate against COVID-19: Results of a nationwide survey.
Vaccine. 2021 Feb 12;39(7):1080-1086. doi: 10.1016/j.vaccine.2021.01.010. Epub 2021 Jan 9.
9
Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review.
Vaccines (Basel). 2020 Dec 30;9(1):16. doi: 10.3390/vaccines9010016.
10
Editor's Choice: Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey.
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