在健康公平数据收集,报告和测量中,伦理考虑和推使移民语言变得人性化
Andrea Thoumi1, Olurotimi Kukoyi2, Kamaria Kaalund3
1Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
Health equity
|June 9, 2025
概括
准确的社会人口统计数据收集对于健康公平至关重要. 这项研究针对移民人口的健康数据中的非人性化语言,建议人性化方法以改善健康测量和干预.
科学领域:
- 公共卫生 公共卫生
- 健康 公平 卫生 公平
- 社会和人口统计数据收集
背景情况:
- 准确的社会人口统计数据对于有效的健康测量和干预至关重要.
- 不一致或缺失的数据,特别是对边缘化社区的数据,阻碍了健康公平评估.
- 在健康数据收集中,特别是对于移民人口来说,非人性化的语言代表了重大的伦理问题.
研究的目的:
- 在卫生背景下指向移民人口时,围绕使用非人性化语言的伦理问题进行界定.
- 在健康测量和数据收集中倡导人性化语言.
- 提高社会人口统计数据的准确性和一致性,以加强公共卫生干预.
主要方法:
- 一个概述道德考虑的视角作品.
- 审查当前在健康数据收集和报告方面的做法.
- 为利益相关者制定建议.
主要成果:
- 确定了使用非人性化的语言作为医疗保健中排斥的一种形式.
- 强调这种语言对健康测量和公平的负面影响.
- 建议策略,以改善健康数据收集和报告中的语言.
结论:
- 采用人性化的语言对于维护健康数据中的人类尊严和伦理身份至关重要.
- 为卫生提供者,研究人员和决策者提供建议,以实施包容性语言实践.
- 社区的参与和监测是确保道德和有效的健康公平数据收集的关键.
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