开发一种新的医疗保健歧视措施:PreDict
medRxiv : the preprint server for health sciences
|October 31, 2023
概括
这项研究开发了患者报告的护理歧视经验工具 (PreDict) 来衡量医疗保健歧视. 该工具旨在通过捕捉患者的偏见经验来提高护理评估的质量.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 患者报告的结果
- 健康 公平 卫生 公平
背景情况:
- 患者报告的护理质量措施对于评估医疗保健系统至关重要.
- 现有的措施不足以解决健康公平问题和患者的歧视经历.
- 需要有效的工具来捕捉医疗保健环境中的歧视.
研究的目的:
- 为患者报告的护理歧视经历工具 (PreDict) 开发一个项目库.
- 测量患者在医疗保健机构中的歧视经历.
- 加强对有关健康公平的护理质量的评估.
主要方法:
- 采用混合方法的研究设计,包括定性访谈 (n=73) 和专家小组的共识.
- 进行了系统的文献审查,以识别和告知项目开发.
- 使用认知面试测试与英语 (n=113) 和西班牙语 (n=70) 发言人进行项目改进.
主要成果:
- 开发了125个项目的初始项目池,在认知测试后保留了59个项目.
- 清晰度不足是删除或修订项目的主要原因.
- 选出了58个候选项目进行现场测试和未来的项目响应理论分析.
结论:
- 该Predict工具解决了衡量医疗保健歧视的重大差距.
- 最初的开发和测试为特征歧视经验提供了有效的证据.
- 这种工具可以有助于更好地了解歧视如何影响患者的健康结果.
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