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用于测量新冠疫情污名态度和认知的量表的改编与验证

Adaption and Validation of Scales to Measure COVID-19 Stigma Attitudes and Perceptions.

作者信息

Turan Janet M, Crockett Kaylee B, Kim Young-Il, Ryan Melissa, Ramachandran Rekha, Bateman Lori Brand, Durant Raegan W, Oates Gabriela R

机构信息

School of Public Health, University of Alabama at Birmingham, Birmingham, AL.

Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.

出版信息

Stigma Health. 2024 Aug 5. doi: 10.1037/sah0000555.

Abstract

Stark racial and socioeconomic disparities in COVID-19 case rates manifested across the U.S. during the COVID-19 pandemic and were also observed in rates of COVID-19 testing. Targeted testing of populations at greatest risk for COVID-19, while effective in containing the spread of COVID-19, could propagate stigma and discrimination, especially when directed toward already marginalized communities. As is known from other health areas, stigmatization can drive people to deny or hide their illness, prevent or delay timely healthcare seeking, and can discourage people from adopting healthy behaviors, such as testing or precautions. In this study we sought to adapt and validate two scales from the HIV stigma literature to measure aspects of COVID-19 stigma, including measures of 1) negative attitudes toward people who get COVID-19 and 2) perceptions of stigma faced by people who get COVID-19 in the community. After working with stigma experts and community partners to adapt the scales, we implemented the items in a community-based survey of African American residents of neighborhoods with high social vulnerability in two counties in Alabama (n=302). Analytic methods included internal reliability testing and scale item reduction, construct validity examination, and bivariable and multivariable linear regression analyses to examine associations with conceptually important and statistically significant predictors. The final COVID-19 stigma scales developed through this process have good reliability and validity and can be used in future research and programs to understand and address disparities in uptake of testing and precautions for COVID-19 and future pandemics.

摘要

在新冠疫情期间,美国各地新冠病例率存在明显的种族和社会经济差异,新冠检测率方面也存在此类差异。针对新冠病毒感染风险最高人群的定向检测,虽然在控制新冠病毒传播方面有效,但可能会加剧污名化和歧视,尤其是针对那些已经处于边缘地位的社区。正如在其他健康领域所了解到的,污名化会促使人们否认或隐瞒自己的病情,阻止或延迟及时寻求医疗护理,还会阻碍人们采取健康行为,如进行检测或采取预防措施。在本研究中,我们试图改编并验证来自艾滋病毒污名文献的两个量表,以衡量新冠污名的各个方面,包括:1)对感染新冠病毒者的负面态度,以及2)社区中感染新冠病毒者所面临的污名认知。在与污名问题专家和社区合作伙伴共同改编量表后,我们在阿拉巴马州两个县对社会脆弱性高的社区的非裔美国居民进行了一项基于社区的调查(n = 302),实施了这些项目。分析方法包括内部信度测试和量表项目精简、结构效度检验,以及双变量和多变量线性回归分析,以检验与概念上重要且具有统计学意义的预测因素之间的关联。通过这一过程开发的最终新冠污名量表具有良好的信度和效度,可用于未来的研究和项目,以了解和解决在新冠病毒及未来大流行疾病检测和预防措施采用方面的差异。

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