中国智能老年人护理政策的构建和定量评估:一个PMC指数模型方法
1School of Management, Xuzhou Medical University, Xuzhou, China.
Frontiers in public health
|October 10, 2025
概括
聪明的老年人护理系统政策通常设计良好,但需要改进. 未来的政策应侧重于及时性,多样化的目标和全面的内容,以便更好地分配资源和应对人口老龄化.
科学领域:
- 老年学是一门学科.
- 公共政策 公共政策
- 医疗信息学 医疗信息学
背景情况:
- 人口老龄化需要先进的护理解决方案.
- 智能老年人护理系统对于资源优化和有效的老年护理至关重要.
- 政策评估对于完善智能护理系统至关重要.
研究的目的:
- 评估智能老年人护理系统政策的质量并确定优化途径.
- 使用政策机计数 (PMC) 指数分析代表性政策文本.
- 为未来的政策制定提供基于数据的建议.
主要方法:
- 从72个政策 (2019-2024) 中分析了10个代表性政策文本.
- 计算每个政策的政策机计数 (PMC) 指数.
- 使用PMC表面和雷达图表可视化政策的优缺点.
主要成果:
- 3项政策被评为"合理和完整",6项被评为"专注",1项被评为"适用性较弱".
- 平均PMC指数为7.38,表明整体政策设计质量良好.
- 确定了需要改进的领域:政策及时性,目标多样性和内容全面性.
结论:
- 聪明的老年人护理政策在科学上是合理的,但需要加强.
- 未来的政策必须优先考虑及时性,更广泛的目标和全面覆盖.
- 改进将支持更好的资源配置和应对人口老龄化.
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