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在埃塞俄比亚南部 Bench Sheko 地区,针对艾滋病毒感染者的大流行疲劳、行为意向和 COVID-19 疫苗接种预测因素:基于设施的横断面研究,应用 TBP。

Pandemic fatigue, behavioral intention and predictors of COVID-19 vaccination among individuals living with HIV in Bench Sheko Zone, in Southern Ethiopia, application of TBP: a facility based cross sectional study.

机构信息

Department of Public Health, School of Public Health, College of Medicine and Health Science, Mizan-Tepi University, Mizan-Aman, Ethiopia.

Department of Midwifery, College of Medicine and Health Science, Mizan-Tepi University, Mizan-Aman, Ethiopia.

出版信息

Front Public Health. 2024 Feb 27;12:1305777. doi: 10.3389/fpubh.2024.1305777. eCollection 2024.

DOI:10.3389/fpubh.2024.1305777
PMID:38476495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10927957/
Abstract

INTRODUCTION

People living with HIV often face inequalities and negative outcomes, which make them vulnerable. To protect this population and achieve herd immunity, it is crucial for COVID-19 vaccination efforts to prioritize and encourage vaccination among people living with HIV (PLWH). However, in Ethiopia, there is a lack of motivation in this regard. To tackle this issue, a study was conducted in the Bench Sheko Zone of Southwest Ethiopia. The study aimed to assess pandemic fatigue, behavioral intention to get vaccinated, and factors influencing COVID-19 vaccine acceptance among PLWH in that region.

METHODS

A facility-based cross-sectional study was conducted among individuals living with HIV who were over 18 years old in Bench-Sheko Zone, located in Southwest Ethiopia. The study included a total of 590 participants from four ART healthcare facilities within the zone. The researchers utilized the Theory of Planned Behavior to examine the predictors of intention to use preconception care. Multiple linear regression analysis was employed to determine these predictors, with a value of less than 0.05 considered as indicative of a significant association. The final analysis of the study involved the use of linear regression analysis, and the measure of association was presented as the standardized B coefficient following a multivariable logistic regression analysis.

RESULT

In the conducted study, the response rate was an impressive 98%. The researchers aimed to investigate the behavioral intention toward the COVID-19 vaccine, which was found to be 55.7%. The average age of the participants in the study was 34.65 ± 6.67. The study was the assessment of pandemic fatigue, which had a mean value of 17.22 ± 5.28. During the multivariate linear regression analysis, four predictor variables were identified. Among these, three variables, namely subjective norm, pandemic fatigue, and age, positively influenced the behavioral intention toward the COVID-19 vaccine. Comprehending these factors can assist healthcare professionals and policymakers in formulating precise interventions and strategies aimed at enhancing the acceptance and adoption of vaccines.

CONCLUSION

The study indicates that individuals living with HIV have shown lower vaccine intention compared to previous research. The study identifies subjective norm, pandemic control measures, income, and age as predictors of individuals' intention to receive the COVID-19 vaccine.

摘要

简介

感染艾滋病毒的人经常面临不平等和负面结果,这使他们很脆弱。为了保护这一人群并实现群体免疫,在 COVID-19 疫苗接种工作中优先并鼓励艾滋病毒感染者(PLWH)接种疫苗至关重要。然而,在埃塞俄比亚,这方面缺乏动力。为了解决这个问题,在埃塞俄比亚西南部的本奇谢科地区进行了一项研究。该研究旨在评估该地区 PLWH 的大流行疲劳、接种疫苗的行为意愿以及影响 COVID-19 疫苗接种接受度的因素。

方法

本项在本奇谢科地区(位于埃塞俄比亚西南部)的 4 家艾滋病治疗医疗保健机构中,对年龄在 18 岁以上的艾滋病毒感染者进行了一项基于设施的横断面研究。该研究共纳入了 590 名参与者。研究人员利用计划行为理论来检验接受孕前保健的意愿的预测因素。采用多元线性回归分析来确定这些预测因素,p 值小于 0.05 表示存在显著关联。研究的最终分析涉及使用线性回归分析,多变量逻辑回归分析后的关联度量表示为标准化 B 系数。

结果

在进行的研究中,响应率高达 98%。研究人员旨在调查对 COVID-19 疫苗的行为意愿,结果发现这一比例为 55.7%。研究参与者的平均年龄为 34.65±6.67 岁。研究还评估了大流行疲劳,其平均值为 17.22±5.28。在多元线性回归分析中,确定了四个预测变量。其中,主观规范、大流行疲劳和年龄这三个变量对 COVID-19 疫苗的接种意愿产生了积极影响。了解这些因素可以帮助医疗保健专业人员和政策制定者制定精确的干预措施和策略,以提高疫苗的接受度和采用率。

结论

研究表明,与之前的研究相比,艾滋病毒感染者的疫苗接种意愿较低。研究确定了主观规范、大流行控制措施、收入和年龄是个人接种 COVID-19 疫苗意愿的预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06e3/10927957/8f20f32d6e9e/fpubh-12-1305777-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06e3/10927957/8f20f32d6e9e/fpubh-12-1305777-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06e3/10927957/8f20f32d6e9e/fpubh-12-1305777-g002.jpg

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