Attitudes toward COVID-19 disease and vaccination in Hungary: A comparison of nurses and health workers against non-health workers

Author:

Pakai Annamária,Ali Amira Mohammed,ALBashtawy Mohammed,Zrínyi Miklós,Karácsony Ilona,Ayasreh Ibrahim,Al Awamleh Rana Abdelfattah,Khatatbeh Haitham

Abstract

Background & Aim: Hungary started to administer several COVID-19 vaccines; however, attitudes toward COVID-19 and vaccination are still poorly understood. This study aimed to explore how the attitudes toward COVID-19 disease are associated with the attitudes toward COVID-19 vaccination in Hungary and compare the attitudes of health and non-health workers toward COVID-19 disease and vaccination in Hungary. Methods & Materials: Using a descriptive, cross-sectional design, we recruited a sample of 1820 persons through an electronic survey. In addition to the sociodemographic questions, the attitudes towards COVID-19 disease and vaccination were assessed through self-developed, literature-based questionnaires. Principal component analysis, Spearman's correlation, linear regression, and the Mann-Whitney test were used in the data analysis. Results: The mean age for the study participants (n=1735) was 43.8 ± 6.2 years, and females were the majority (84.6%). Overall, participants showed good attitudes toward COVID-19 disease (mean score= 3.48, SD= 0.43) as compared to their attitudes toward COVID-19 vaccination (Mean score= 2.67, SD=  0.44). A positive correlation was found between the attitudes toward COVID-19 disease and attitudes toward vaccination in Hungary (r= 0.247, p< 0.01). Nurses and other health workers showed more positive attitudes toward COVID-19 vaccination than non-health workers. Conclusion: Hungarian decision-makers should intervene to improve the public's willingness to be vaccinated against COVID-19 or future pandemics. Health workers' knowledge and positive attitudes should be utilized in the media to encourage the general population to be vaccinated. The suggested questionnaires need to be validated for future pandemics' use.

Publisher

Knowledge E DMCC

Subject

General Nursing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3