一个健康公平框架,以支持下一代癌症人口模拟模型
Christina Chapman1, Jinani Jayasekera2, Chiranjeev Dash3
1Department of Radiation Oncology, Baylor College of Medicine, and the Center for Innovations in Quality, Effectiveness, and Safety in the Department of Medicine, Baylor College of Medicine and the Houston VA, Houston, TX, USA.
Journal of the National Cancer Institute. Monographs
|November 10, 2023
概括
这项研究提出了癌症人口模拟模型的新框架,以解决健康不平等问题. 它建议使用多层次的系统性种族主义措施,以更好地理解和减少少数群体癌症护理方面的差异.
科学领域:
- 公共卫生 公共卫生
- 癌症研究 癌症研究
- 医疗公平模型的健康公平模型.
背景情况:
- 人口模拟模型对于癌症监测和评估干预措施至关重要.
- 现有的模型经常使用个人级别的种族,这是系统性种族主义的最佳代理.
- 持续的癌症不平等不成比例地影响少数群体.
研究的目的:
- 为下一代癌症人口模拟模型提供框架.
- 确定杆点,以加快癌症平等在少数群体的护理.
- 将系统性种族主义概念化为癌症不平等的根本原因.
主要方法:
- 建议用多层次的种族主义 (结构性,人际关系,内化) 措施取代单一级别的种族变量.
- 倡导在医疗保健,教育和经济系统中调查可采取行动的杆.
- 提出了一种综合方法来建模影响癌症公平因素的复杂相互作用.
主要成果:
- 目前的模型不足以捕捉系统性种族主义的多层次性质及其对癌症结果的影响.
- 多层次的措施对于准确地代表从系统性种族主义到癌症发病率和死亡率的途径至关重要.
- 识别和准特定的结构性和政策层面的干预措施可以促进癌症公平.
结论:
- 未来的癌症模拟模型必须包含系统性种族主义的多层次措施,以准确地反映和解决健康不平等问题.
- 可行的政策和结构性变化是减少癌症护理差异的关键目标.
- 这一框架将加强癌症平等的研究,数据收集和政策制定.
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