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测量与健康相关的耻辱感:探索改善评估的挑战和研究重点。

Measuring health-related stigma: Exploring challenges and research priorities to improve assessment.

机构信息

Faculty of Science, Athena Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

出版信息

Glob Public Health. 2023 Jan;18(1):2264960. doi: 10.1080/17441692.2023.2264960. Epub 2023 Oct 6.

Abstract

Despite the advances in stigma research, measuring health-related stigma continues to be challenging and knowledge gaps remain. This study gained insight into challenges and research priorities related to the assessment of health-related stigma. Interviews were conducted with 14 stigma researchers, followed by a survey that was completed by 36 respondents. The findings showed a diverse range of research priorities. Among the top ranked priorities were the need for robust measurement properties of existing scales (content validity, responsiveness, validation across settings), exploration and assessment of subtle changes in stigma, and investigation on ways to assess actual behaviour and discrimination. Various challenges with the cross-cultural use of measures were identified, along with a research opportunity to shorten the cross-cultural validation process. Other identified research priorities related to: studying multi-level intersectional stigma; focusing on positive features that counter stigma; rephrasing negative and offending scale items; developing generic measures; and, the further development of practical tools to support researchers with scale implementation. The defined research priorities can guide future studies to advance stigma measurements and, as our ability to measure is critical for our understanding, enhance our knowledge about the complex stigma processes.

摘要

尽管在污名研究方面取得了进展,但衡量与健康相关的污名仍然具有挑战性,知识差距仍然存在。本研究深入了解了与评估与健康相关的污名相关的挑战和研究重点。对 14 名污名研究人员进行了访谈,随后对 36 名受访者进行了调查。研究结果显示出研究重点的多样性。排名靠前的重点包括现有量表的稳健测量特性(内容效度、反应性、在不同环境下的验证)、对污名细微变化的探索和评估,以及评估实际行为和歧视的方法,以及各种与跨文化使用措施相关的挑战,以及缩短跨文化验证过程的研究机会。其他确定的研究重点与:研究多层次的交叉污名;关注对抗污名的积极特征;重新表述负面和冒犯性的量表项目;开发通用措施;以及进一步开发实用工具,为研究人员提供量表实施的支持。确定的研究重点可以指导未来的研究,以推进污名的衡量标准,因为我们衡量的能力对我们的理解至关重要,从而增强我们对复杂污名过程的认识。

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