Department of Community, Environmental, and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt.
Int J Environ Res Public Health. 2021 May 19;18(10):5451. doi: 10.3390/ijerph18105451.
To date, a universal validated and specific tool for assessing coronavirus disease 2019 (COVID-19) stigma among healthcare workers is lacking. We adapted a SARS stigma scale that was developed using the Berger HIV scale for use as a COVID-19 stigma scale and evaluated its psychometric properties among Egyptian physicians.
We administered the 17-item SARS stigma scale in an anonymous online questionnaire among 509 Egyptian physicians recruited via convenience sampling during a cross-sectional study in June 2020. Exploratory factor analysis was performed on half of the sample. Confirmatory factor analysis of the resulting model was done using structural equation modeling on the other half. Scale reliability was examined using Cronbach's alpha for internal consistency. Convergent construct validity was assessed using regression models to examine the association between the adapted COVID-19 stigma scale and relevant factors.
Exploratory factor analysis yielded 16 items (E16-COVID19-S) that supported a three-factor structure: personalized stigma (8 items); concerns of disclosure and public attitudes (5 items); and negative experiences (3 items). Cronbach's α was 0.909 for the total scale and 0.907, 0.663, and 0.789 for the three subscales. E16-COVID19-S was confirmed to have good model fit (comparative fit index = 0.964; root mean squared error of approximation = 0.056). E16-COVID19-S was independently associated with physicians' younger age, lower qualification, working in an isolation hospital, and self-stigma, whether the scale was treated as categorical or continuous.
E16-COVID19-S exhibited good internal consistency and construct validity among this sample of Egyptian physicians. These adequate psychometric properties make the E16-COVID19-S scale appropriate for use by researchers and practitioners.
迄今为止,针对医护人员的 2019 年冠状病毒病(COVID-19)污名化,尚未有通用的经过验证的专用工具。我们采用了一项 SARS 污名量表,该量表是使用 Berger HIV 量表开发的,用于作为 COVID-19 污名量表,并在埃及医生中评估了其心理测量特性。
我们在 2020 年 6 月的一项横断面研究中,通过便利抽样招募了 509 名埃及医生,在匿名的在线问卷中使用 17 项 SARS 污名量表进行调查。对样本的一半进行了探索性因素分析。使用结构方程建模对另一半进行了得出模型的验证性因素分析。使用 Cronbach 的 alpha 检验量表的内部一致性来评估量表的可靠性。使用回归模型评估趋同结构效度,以检验改编后的 COVID-19 污名量表与相关因素之间的关联。
探索性因素分析产生了 16 个项目(E16-COVID19-S),支持三因素结构:个人污名(8 个项目);披露和公众态度的担忧(5 个项目);以及负面经历(3 个项目)。总量表的 Cronbach's α 为 0.909,三个分量表的 Cronbach's α 分别为 0.907、0.663 和 0.789。E16-COVID19-S 被证实具有良好的模型拟合度(比较拟合指数= 0.964;均方根误差近似值= 0.056)。E16-COVID19-S 与医生的年龄较小、学历较低、在隔离医院工作以及自我污名化独立相关,无论该量表是作为类别变量还是连续变量处理。
E16-COVID19-S 在埃及医生样本中表现出良好的内部一致性和结构效度。这些充足的心理测量特性使 E16-COVID19-S 量表适合研究人员和从业人员使用。