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开发和验证与 COVID-19 相关的医护人员耻辱感量表(CSS-HCWs)。

Development and Validation of the COVID-19-Related Stigma Scale for Healthcare Workers (CSS-HCWs).

机构信息

College of Nursing Art and Science, University of Hyogo, Kobe 673-0021, Japan.

Faculty of Nursing, Kyoto Tachibana University, Kyoto 607-8175, Japan.

出版信息

Int J Environ Res Public Health. 2022 Aug 5;19(15):9641. doi: 10.3390/ijerph19159641.

Abstract

Stigma among healthcare workers during the coronavirus disease 2019 (COVID-19) pandemic is an issue that requires immediate attention, as it may otherwise lead to the collapse of healthcare systems. In this study, we developed the COVID-19-related stigma scale for healthcare workers (CSS-HCWs) and assessed its reliability and validity. Data were collected online from 500 participants, including physicians and nurses involved in COVID-19 care. The first item of the draft scale was developed based on a literature review and qualitative study. The draft scale consisted of 24 items, which were rated on a six-point Likert scale. Descriptive statistics were calculated and the data distribution was analyzed. To assess the scale's validity and reliability, structural validity was evaluated through an exploratory factor analysis. Criterion-related validity was examined through a correlation analysis using the E16-COVID19-S, a COVID-19 scale developed for physicians in Egypt. Reliability was evaluated by examining the scale's stability and internal consistency. The findings revealed that the stigma scale was a valid and reliable instrument. The final scale consisted of 18 items across three domains: personal stigma, concerns of disclosure and others, and family stigma. In conclusion, the scale is a valid and reliable instrument that can measure COVID-19-related stigma among healthcare workers.

摘要

在 2019 冠状病毒病(COVID-19)大流行期间,医护人员的污名化是一个需要立即关注的问题,否则可能导致医疗系统崩溃。在这项研究中,我们开发了针对医护人员的 COVID-19 相关污名量表(CSS-HCWs),并评估了其信度和效度。数据通过在线从 500 名参与者中收集,包括参与 COVID-19 护理的医生和护士。量表初稿的第一项是基于文献回顾和定性研究制定的。量表初稿由 24 个项目组成,采用六点 Likert 量表进行评分。计算了描述性统计数据并分析了数据分布。为了评估量表的有效性和可靠性,通过探索性因素分析评估了结构有效性。通过使用在埃及为医生开发的 COVID-19 量表 E16-COVID19-S 进行相关性分析来检验效标关联效度。通过检查量表的稳定性和内部一致性来评估可靠性。研究结果表明,污名量表是一个有效且可靠的工具。最终量表包含三个领域的 18 个项目:个人污名、披露和他人的担忧以及家庭污名。总之,该量表是一个有效且可靠的工具,可以衡量医护人员的 COVID-19 相关污名。

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