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COVID-19 公众污名量表(COVID-PSS):编制、验证、心理计量学分析及解读。

COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation.

机构信息

Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand

Pharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand.

出版信息

BMJ Open. 2021 Nov 2;11(11):e048241. doi: 10.1136/bmjopen-2020-048241.

Abstract

OBJECTIVE

Amid the COVID-19 pandemic, social stigma towards COVID-19 infection has become a major component of public discourse and social phenomena. As such, we aimed to develop and validate the COVID-19 Public Stigma Scale (COVID-PSS).

DESIGN AND SETTING

National-based survey cross-sectional study during the lockdown in Thailand.

PARTICIPANTS

We invited the 4004 adult public to complete a set of measurement tools, including the COVID-PSS, global fear of COVID-19, perceived risk of COVID-19 infection, Bogardus Social Distance Scale, Pain Intensity Scale and Insomnia Severity Index.

METHODS

Factor structure dimensionality was constructed and reaffirmed with model fit by exploratory and confirmatory factor analyses and non-parametric item response theory (IRT) analysis. Psychometric properties for validity and reliability were tested. An anchor-based approach was performed for classifying the proper cut-off scores.

RESULTS

After factor analysis, IRT analysis and test for model fit, we created the final 10-item COVID-PSS with a three-factor structure: stereotype, prejudice and fear. Face and content validity were established through the public and experts' perspectives. The COVID-PSS was significantly correlated (Spearman rank, 95% CI) with the global fear of COVID-19 (0.68, 95% CI 0.66 to 0.70), perceived risk of COVID-19 infection (0.79, 95% CI 0.77 to 0.80) and the Bogardus Social Distance Scale (0.50, 95% CI 0.48 to 0.53), indicating good convergent validity. The correlation statistics between the COVID-PSS and the Pain Intensity Scale and Insomnia Severity Index were <0.2, supporting the discriminant validity. The reliability of the COVID-PSS was satisfactory, with good internal consistency (Cronbach's α of 0.85, 95% CI 0.84 to 0.86) and test-retest reproducibility (intraclass correlation of 0.94, 95% CI 0.86 to 0.96). The proposed cut-off scores were as follows: no/minimal (≤18), moderate (19-25) and high (≥26) public stigma towards COVID-19 infection.

CONCLUSIONS

The COVID-PSS is practical and suitable for measuring stigma towards COVID-19 in a public health survey. However, cross-cultural adaptation may be needed.

摘要

目的

在 COVID-19 大流行期间,针对 COVID-19 感染的社会污名已成为公众话语和社会现象的重要组成部分。因此,我们旨在开发和验证 COVID-19 公众污名量表(COVID-PSS)。

设计和设置

泰国封锁期间的全国性调查横断面研究。

参与者

我们邀请了 4004 名成年公众完成了一组测量工具,包括 COVID-PSS、全球对 COVID-19 的恐惧、对 COVID-19 感染的感知风险、Bogardus 社会距离量表、疼痛强度量表和失眠严重程度指数。

方法

通过探索性和验证性因素分析以及非参数项目反应理论(IRT)分析,构建和重新确认了因子结构维度和模型拟合。测试了有效性和可靠性的心理测量特性。采用基于锚定的方法对适当的截断分数进行分类。

结果

经过因子分析、IRT 分析和模型拟合检验,我们创建了最终的 10 项 COVID-PSS,具有三因素结构:刻板印象、偏见和恐惧。通过公众和专家的观点确定了表面和内容效度。COVID-PSS 与全球对 COVID-19 的恐惧(Spearman 秩,95%CI)显著相关(0.68,95%CI 0.66 至 0.70)、对 COVID-19 感染的感知风险(0.79,95%CI 0.77 至 0.80)和 Bogardus 社会距离量表(0.50,95%CI 0.48 至 0.53),表明具有良好的聚合效度。COVID-PSS 与疼痛强度量表和失眠严重程度指数之间的相关统计值均<0.2,支持判别效度。COVID-PSS 的可靠性令人满意,具有良好的内部一致性(Cronbach's α 为 0.85,95%CI 0.84 至 0.86)和重测信度(ICC 为 0.94,95%CI 0.86 至 0.96)。提出的截断分数如下:对 COVID-19 感染的最低/最小(≤18)、中等(19-25)和高(≥26)的公众污名。

结论

COVID-PSS 实用且适用于公共卫生调查中对 COVID-19 污名的测量。但是,可能需要进行跨文化适应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ea/8568532/d856273817b0/bmjopen-2020-048241f01.jpg

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