将健康的社会决定因素纳入政策设计:数据驱动的股权分析的BENEFITS框架
Panagiotis Katrakazas1, Eleni Plemmenou1, Bilal Almobarak2,3
1KMOP, Skoufa 75, Athina 10680, Greece.
Studies in health technology and informatics
|July 1, 2025
概括
社会服务促进健康公平和系统弹性. BENEFITS框架使用人工智能来识别具有高影响力的服务,显示潜在的GDP增长和通过有针对性的投资减少医疗保健使用.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的人工智能
背景情况:
- 传统的健康框架往往忽视了社会服务对健康公平的深刻影响.
- 健康的社会决定因素被认为是健康结果的主要贡献者,但量化其影响仍然具有挑战性.
研究的目的:
- 引入BENEFITS框架,这是一种用于量化社会服务对健康结果和卫生系统弹性贡献的新方法.
- 确定具有高社会投资回报率 (ROI) 的社会服务,并通过提高预期寿命来估计潜在的经济收益.
- 分析社会决定因素对不同人口群体的影响,并为政策决策提供信息.
主要方法:
- 利用人工智能驱动的分析和建模来量化社会服务贡献.
- 采用区域合作来收集和分析有关社会服务和健康结果的数据.
- 开发政策观察中心工具,以评估社会决定因素对健康的影响.
主要成果:
- 早期发现表明,对文化调解的有针对性的投资可以减少医疗保健利用率.
- 该框架确定了具有高社会投资回报率的特定社会服务,暗示了与增加预期寿命相关的GDP增长潜力.
- 社会决定因素的量化显示,它们占可修改的健康因素的高达90%.
结论:
- BENEFITS框架提供了一种强大的方法,用于将社会决定因素纳入卫生系统弹性战略.
- 有针对性的社会服务干预,如文化调解,可以改善公平获得护理,并减少医疗保健系统的负担.
- 预计在欧盟范围内扩展BENEFITS方法将显著提高整体卫生系统的弹性,并促进健康公平.
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